Skip to main content

Participatory development of practical, affordable, insecticide-treated mosquito proofing for a range of housing designs in rural southern Tanzania

Abstract

Background

Insecticidal mosquito-proof netting screens could combine the best features of insecticide-treated nets (ITNs) and indoor residual spraying (IRS), the two most important front line vector control interventions in Africa today, and also overcome the most important limitations of these methods. This study engaged members of a rural Tanzanian community in developing and evaluating simple, affordable and scalable procedures for installing readily available screening materials on eave gaps and windows of their own houses, and then treating those screens with a widely used IRS formulation of the organophosphate insecticide pirimiphos-methyl (PM).

Methods

A cohort of 54 households recruited upon consent, following which the structural features and occupant demographics of their houses were surveyed. Indoor mosquito densities were surveyed longitudinally, for approximately 3 months before and over 5 months after participatory house modification and screening using locally available materials. Each house was randomly assigned to one of three study arms: (1) No screens installed until the end of the study (negative control), (2) untreated screens installed, and (3) screened installed and then treated with PM, the insecticidal activity of which was subsequently assessed using standard cone assays.

Results

Almost all (52) recruited households participated until the end, at which point all houses had been successfully screened. In most cases, screening was only installed after making enabling structural modifications that were accepted by the enrolled households. Compared to unscreened houses, houses with either treated or untreated screens both almost entirely excluded Anopheles arabiensis (Relative reduction (RR) ≥ 98%, P < < 0.0001), the most abundant local malaria vector. However, screens were far less effective against Culex quinquefasciatus (RR ≤ 46%, P < < 0.0001), a non-malaria vector causing considerable biting nuisance, regardless of their treatment status. While PM did not augment household level protection by screens against either mosquito species (P = 0.676 and 0.831, respectively), 8 months after treatment it still caused 73% and 89% mortality among susceptible insectary-reared Anopheles gambiae following exposures of 3 and 30 min, respectively.

Conclusions

Participatory approaches to mosquito proofing houses may be acceptable and effective, and installed screens may be suitable targets for residual insecticide treatments.

Background

Across most of sub-Saharan Africa, the most important malaria vector mosquito species are Anopheles gambiae sensu stricto (s.s.), Anopheles coluzzii, Anopheles funestus, and Anopheles arabiensis. The first three species are the most efficient and important vectors but also the most vulnerable to control with long-lasting insecticidal nets (LLIN) and indoor residual spray (IRS) insecticides because they are highly specialized for feeding on humans while they are indoors at night and usually rest indoors too. Even untreated mosquito-proof screening for houses can suppress densities of indoor-feeding mosquitoes, and it is notable that impact appears to vary in proportion to the preference of the mosquito species for human blood [1]. The potential for insecticide-treated house screening may be even greater [1], even for vector species like An. arabiensis that are considered behaviourally evasive because they can feed on people or animals outdoors and only visit houses very briefly in search of blood [2].

Historically, the vast majority of malaria transmission in Africa has occurred indoors because mosquitoes were able to freely enter most houses and attack unprotected people [3,4,5,6]. Structural features which have been proven to be risk factors for malaria infection include the absence of a celling, open eaves, windows and gaps in the walls, especially around door and window frames, and gaps in the doors themselves [7]. A systematic review and meta-analysis of studies from across Africa indicate that people living in improved housing had, on average, a 47% lower odds of chronically carrying malaria and a 45 to 65% lower odds of experiencing acute symptomatic clinical malaria [8]. Another review article indicates that African children living in modern houses are up to 14% less likely to have malaria compared to the children living in traditional houses [9].

While the epidemiological benefits of house screening have been well documented [7,8,9,10], a lack of evidence demonstrating the affordability, acceptability, and practicability of mosquito proofing for typical African houses is still considered an obstacle to scale up [1, 11, 12]. Enabling households to afford and apply a particular house screening intervention in a given context requires careful consideration of what materials are readily available, what community engagement practices may be acceptable to householders and local authorities, and what installation procedures may suit the most basic local house designs occupied by low-income households. Moreover, it is essential that community members and leaders are involved from the outset in development and implementation of approaches for mosquito screening their houses.

Furthermore, to match the full impact that LLINs and IRS have already achieved, largely through mass vector population suppression effects, screened houses will have to do more than just exclude mosquitoes: they will also have to kill them when they attempt to enter or exit the house. Treated netting screens for mosquito proofing houses have several advantages over LLINs and IRS as an insecticide deployment format because it combines essential features of these interventions while also overcoming some of their most important limitations, explained in detail as follows.

Screened housing extends the physical protection of bed nets beyond sleeping spaces, to cover entire domestic spaces and all indoor activities, often resulting in increased usage of those protected spaces [13, 14]. Remarkably, the amount of netting in one ITN may be enough to cover all windows and eave gaps of a typical rural Tanzanian house, so the quantities of netting and insecticide required to protect entire household would be far lower than with several ITNs [15, 16]. House screens are rarely disturbed once installed, so they may last longer than bed nets and more durable netting materials can minimize replacement rates. Like bed nets [17, 18], even untreated window screening can suppress vector populations by denying them access to human blood [1]. Like ITNs, house screening offers a standardized target surface for the durable insecticide treatments required to achieve sufficient impact upon human-specialized African vector populations and the exceptionally intense malaria transmission they mediate [19, 20]. Insecticide-treated house screening could enable affordable deployment of insecticide combinations as mixtures, rotations, mosaics or even micro-mosaics at household level [21], but with far lower application frequency and cost than IRS [15, 22].

The potential of this insecticide deployment format in terms of environmental health are also considerable. First of all, netting screens may be treated by soaking, brushing or rolling, thus eliminating the hazardous aerosols generated by IRS [15, 22]. Second, by reducing recurrent insecticide consumption, application and shedding rates relative to IRS, and reducing physical contact rates relative to ITNs, exposure of both householders and vector control professionals should be reduced [15, 22].

It is therefore possible that insecticidal mosquito screening of houses could supersede ITNs and IRS as front-line interventions of choice for controlling malaria vectors that feed and rest inside human habitations, but only if more practical and affordable formats can be developed [1, 11, 12] that enable scale up towards similar universal coverage targets across entire communities [16, 23, 24]. This study was, therefore, conducted in semi-rural areas at the outskirts of Ifakara town in southern Tanzania, where investigators and householders worked together to: (1) identify and exploit readily available materials around the peri-domestic environment that could be readily used to modify their house structures to make installation of mosquito screening easier and more affordable, and then (2) develop acceptable and practical procedures for modifying the participants houses and then mosquito-proof remaining open eave and window spaces with netting screen materials that were provided free of charge by the study team. Given the importance of lethal insecticides for achieving the full community-wide mass effects of personal protection measures [16, 25, 26], this study also (3) developed a simple procedure of painting an IRS formulation of the organophosphate insecticide pirimiphos-methyl (PM) onto the netting screens that were fitted to the eaves and windows of local houses and, (4) assessed the longevity of these insecticide applications in terms of their efficacy for killing susceptible mosquitoes.

Methods

Study area

This study was conducted over a period of ten months, inclusive of household recruitment, in selected neighbourhoods at the periphery of the Ifakara town in south-eastern Tanzania. The neighbourhoods of Katindiuka, Viwanja Sitini, Mlabani, and Lipangala are all found adjacent to extensive malaria vector breeding sites at the edge of the town. Ifakara lies within the Kilombero Valley at − 8.133° latitude, 36.183° longitude and 300 m of elevation. The annual rainfall of the area is 1200–1800 mm, average relative humidity of 63%, and daily mean temperature ranges from 20 to 32.6 °C. Economic activities in the area include crop farming, fishing and brick-making among others.

Historically, Ifakara town has always had far lower rates of malaria transmission than the surrounding valley [27,28,29]. Since the scale-up of insecticide-treated nets, expanding urbanization, improved housing and living standards, malaria transmission has further declined and the formerly-dominant vector, An. gambiae has essentially disappeared [30, 31]. Recent surveys in the villages just south of Ifakara have estimated residual EIRs of approximately 4 infectious bites per person per year for An. arabiensis and 12 infectious bites per person per year for An. funestus [32]. Both of these two most important vector species in the Kilombero Valley area are now resistant to the pyrethroid, carbamate and organochlorine insecticides used for vector control in LLIN and IRS formats [33, 34]. Communities living in the valley have high levels of access to bed nets and use them extensively, some of which are pyrethroid-treated and some of which are not, because they are distributed through several mechanisms, either free of charge from the government or routine sales from retailers [35]. There is currently no IRS treatment that is systematically applied to houses in this area.

Characteristics of houses found in the study site

Most houses in and around Ifakara have walls constructed of baked mud bricks, held together with either mud or concrete [36], and most roofs are made of corrugated iron sheets [37]. The structure, size and design of houses in this area are highly variable but some features that allow mosquitoes to enter are very common and represent suitable targets for improved screening procedures. Such features include the eave gaps left open between the roof and wall, open window spaces and gaps around doorframes, cracks in walls and other gaps in their structures, many of which are designed to facilitate natural ventilation. In this study, houses that had exactly these open structural features and also lacked netting screens to block mosquito entry were selectively enrolled.

Overall study design and sample size calculations

This study consisted of observational and experimental components. First of all, direct observations and informal discussions were used to assess the availability of materials and acceptability of various potential structural modifications for mosquito proofing houses. Then brief surveys recorded the demographic characteristics of the participating households and the structural characteristics of their houses.

The experimental component of the study consisted of a controlled evaluation of two mosquito-proofing intervention options through randomized assignment of participating households to one of three intervention arms: (1) No screens on eaves and windows (Negative control), (2) screens installed on open eaves, windows and other mosquito entry points and (3) screens installed and then treated with PM insecticide. The primary outcomes were indoor densities of An. arabiensis and Culex quinquefasciatus mosquitoes in each of the intervention arms, measured approximately monthly for about three months before and over five months after participatory house modification and screening. Secondary outcomes were the proportional mortality rates of fully susceptible insectary-reared An. gambiae mosquitoes, 72 h after exposures to netting screen for either 3 or 30 min, measured 4 months and 8 months after treatment.

Sample size calculations for determining the number of houses required were based on the primary quantitative outcome, which was defined as the number of An. arabiensis mosquitoes caught per house per night of trapping. In order to leave a substantial margin for error, a worst-case-scenario was assumed with very low vector densities of only four specimens per unscreened negative control house per night of light trap capture, approximately representative of a typical dry season conditions in this setting. Applying Lehr’s equation for calculating sample sizes for Poisson-distributed count outcomes [38], it was estimated as follows that 12 houses would be required per study arm to detect a 50% reduction of indoor biting density with a power of 80% and probability threshold of 5%. A total of 54 houses were therefore recruited to allow for drop out and also to ensure this minimum of 12 houses was achieved, especially despite the fact that the intervention allocation procedure involved randomization with replacement, resulting in some arms having lower numbers of houses than others through simple chance.

Community engagement, house selection and household recruitment

Relevant village council leaders were sensitized to the goal, objectives and procedures of the study through the regular quarterly IHI community engagement meetings conducted in kiswahili. The investigators then selectively engaged with Ten-Cell Unit (TCU) housing clusters (mashina) in the study site neighbourhoods (mtaa) nearest to the periphery of Ifakara town, with priority given to those whose elected TCU leaders (mabalozi/wajumbe) and neighbourhood chairpersons (wenyeviti) expressed greatest enthusiasm for facilitating the study. In these selected TCUs, community sensitization was conducted in situ at their peri-domestic household environment with the help of these TCU leaders and neighbourhood chairpersons.

Participants in this study were the members of purposively selected households, recruited through their adult (18 years or older) household heads. Specifically, this study aimed to recruit households with unscreened houses who could benefit most from participation. Interestingly, now that Ifakara has been progressively urbanized over the last two decades, such unscreened houses proved to be relatively rare even at the outskirts of the town, so no interested households had to be declined an opportunity to participate. Informed consent to participate from the respective household heads was documented in writing following detailed explanation of the projects aims, procedures, potential risks and potential benefits. The inclusion criteria were houses that had less than or equal to six rooms in one building, lacked screening on windows, eave gaps or ceilings, in which most occupants are long-term residents who all live within the study area. Consenting participants were subsequently allowed to withdraw their houses and households from the study at any time. Where it was possible to ask the household to explain their reasons for withdrawing, the researchers documented their self-reported rationale.

Allocation to intervention treatment arm by participatory randomization with replacement

Each participating household head picked only one of three different-coloured marbles from an opaque paper bag, with each of the three colours chosen a priori to represent one of the three treatment arms. After each householder had picked his or her marble at random and understood what intervention treatment his or her house would receive, that marble was returned to the bag and remixed with the others before the next household head could make his or her selection. In this way, each household had a transparent and equal opportunity of being allocated to whatever they consider the most desirable treatment arm, regardless of the allocations of previous participants. The overall outcome of the recruitment, randomization, retention and follow-up procedures are summarized in Fig. 1.

Fig. 1
figure 1

Flow diagram illustrating the study design, as well as the recruitment, retention and treatment allocation outcomes for all consenting households who participated in the study

Monthly entomological surveys of all participating houses, as described in detail below, were continued until the end of the study and any relevant changes to the structural characteristics of the houses (including modifications and screening installations to exclude mosquitoes) were recorded as they occurred.

Participatory development of scalable procedures for mosquito-proofing houses

Researchers spent much of their time within the peri-domestic environment surrounding the houses of the study participants, discussing potential procedural options for affordable, practical, and acceptable procedures for mosquito-proofing their houses, during which time the investigators also learned a lot opportunistically through informal participant observations. All such conversations were conducted with individual household members and no group discussions were conducted, so that each participant could freely share his or her own perspectives, and represent those of other family members, without any peer influence from other participating households. Such direct but informal discussions with the study participants in and around their own houses, made the discussion more practically effective, because household features like as structure, size, dimension and materials, as well as design of house modifications and the screening installations themselves, could be seen, touched and explored.

Evaluating the impact of mosquito proofing with and without insecticide treatments upon indoor mosquito densities

The impact of the new mosquito-proofing procedures upon indoor mosquito densities was assessed by measuring the number of mosquitoes caught in each house approximately once per month, although sometimes this varied in between houses and periods for practical reasons, such as households being away or busy when visited as per schedule. Indoor host-seeking mosquitoes were collected using CDC light traps hung overnight beside an occupied bed net inside a participating house [39]. Captured mosquitoes were then killed by freezing, identified using morphological keys [40] and sorted by sex and abdominal status. For each room where the trap was hung, if any of the occupant(s) lacked bed net at that time, a new untreated bed net (Safi net®) was provided free of charge to both protect the occupant(s) and enable the effective function of the trap [18, 41].

In situ treatment of installed netting screens with IRS insecticide formulations

A soft-paint brush of 2 inch width was used to apply an aqueous suspension of micro-capsulated PM (Actellic® 300CS, Syngenta AG, Switzerland) onto mosquito-proof nettings screens after they had been installed. Following saturation calibration experiments to estimate how much aqueous suspension the PVC-coated fibreglass netting used to screen houses could hold (100 ml per m2), the working concentration of PM required to achieve a treatment dosage rate of 1 g per metre squared of netting was calculated as 10 g per l, prepared by diluting 33.3 ml of stock concentrate into each litre of water. Application was conducted using personal protective equipment (rubber gloves, face mask, plastic apron and rubber boots) to protect the operator. To prevent environmental contamination, plastic trays were used to collect falling insecticide droplets and plastic bottles were used for temporarily storing unused insecticide suspension. All such aqueous waste, including the triple washes of all plastic containers that were used to clean them, were disposed of in a charcoal-lined soak pit as per existing approved IRS protocols for Tanzania [42]. After they had been triple rinsed with water, all such containers were disposed of as routine plastic waste as per standard protocol [42].

Assessments of persisting insecticidal activity of treated netting screens

The insecticidal activity of PM-treated netting screens installed on the eaves and windows of participating houses was measured as an indicator of potential for reducing population-level survival and density if scaled-up across entire communities. This enabled determination of proportions of insectary-reared mosquitoes that died following controlled exposures to treated or untreated netting using the standard World Health Organization (WHO) cone bioassay tests [43].

Statistical analysis

All statistical analyses were done using R version 4.1.0 open-source statistical software, supplemented with the ggplot2, cluster, factoextra and lme4 packages. First, the structural and household demographic characteristics of enrolled houses were visually examined by plotting them out as density distribution plots with the ggplot2 package and then summarized in terms of their medians and ranges, as well as their first and second quartiles. Then a partition around medoids cluster analysis was applied, using the cluster and factoextra, packages to identify two subsets of houses with distinct structural characteristics, for which stratified graphic and tabular summaries were prepared as described immediately above. Then, Poisson regression was used to assess the effect of house screening treatment upon indoor mosquito catches, the primary outcome of this study.

This was accomplished using Generalized Linear Mixed Models (GLMMs) fitted with the lme4 package, using a Poisson-distribution for the dependent variable (total counts of female mosquitoes from a given taxon per light trap catch), treatment arm allocation and current intervention status as fixed categorical independent variables (1: Unscreened, 2: Screened but not treated, or 3: Screened and treated, with unscreened being the a priori default reference group in both cases, although screened but untreated was treated as the reference group for post hoc comparisons with the treated screens), accounting for the effects of location (house identity) and time (date) by including them as random effects. Overdispersion was accounted for by treating each observation (trap catch in a particular house on a particular night) as an additional random effect.

To examine the influence of the housing structure categories identified by cluster analysis upon the effects of screens on mosquito densities, statistical power was enhanced by combining all screened houses into a single category, so that the contrast made was screened houses, regardless of the insecticide treatment status of those screens (which was first confirmed to have no apparent effect), versus unscreened houses. Also, structural category (well-ventilated versus poorly ventilated) was included as a second independent variable and the interaction between these two (screened and well-ventilated versus all other possible combinations) was included as the third categorical independent variable.

The efficacy of insecticide-treated screens at killing mosquitoes was also assessed using similar GLMMs fitted with lme4 but with a logit link function and binomial distribution for the dependent variable (proportion of mosquitoes which died), with survey round (4 versus 8 months after treatment), dust cleaning status (before or after wiping) and netting screen treatment status (treated versus untreated screens) as the independent variables and with replicate, house and date as the random effects.

Results

Structural and demographic characteristics of the enrolled houses.

The physical characteristics of the study houses are summarised in Table 1. All the recruited houses could be classified as belonging to one of two major clusters, each of which contains houses with similar traits that clearly differ from those in the other cluster (Table 1, Fig. 2). With a small minority of exceptions, most of the houses recruited into the study could be unambiguously categorized into one of two groups, the characteristics of which are compared and contrasted in Table 1 and Figs. 2 and 3: (1) Traditional houses built with poorly planned ventilation and (2) improved houses of more contemporary design with well-planned ventilation.

Table 1 Physical characteristics of houses enrolled in the study and statistical contrasts between the two distinct clusters of housing identified through partition cluster analysis (Fig. 3)
Fig. 2
figure 2

Physical characteristics of houses enrolled in the study, stratified into the two distinct clusters of poorly and well-ventilated houses identified through partition cluster analysis (Fig. 3 and methods). See Table 1 for numerically explicit representation of the same data

Fig. 3
figure 3

A partition clustering plot illustrating how Partition Around Medoids analysis distinguishes two clusters of houses with different characteristics (Table 1), represented across two dimensions obtained by dimensionality reduction with Principal Component Analysis

The former consisted entirely of traditional small houses, with only open eaves and small window spaces, if any, as the sole means of ventilation, and walls made with a variety of materials, ranging from baked or unbaked mud bricks to, in a few cases, mud and wattle. With some exceptions, described immediately below, the latter category consisted mostly of larger, taller houses of more contemporary design, built with larger windows spaces and higher ceilings, plus additional ventilation sites that were clear deliberately planned and built into the upper walls, immediately above the doors or between two overlapping roofs. While some of these houses designed with improved ventilation in mind had open eaves, the majority had closed eaves. A minority of houses in this latter category, however, were recently built smaller houses consisting of only one room, but which were taller than traditional, poorly-ventilated houses and had larger eave and window spaces, although the latter were usually fully or partially bricked up. For brevity, houses belonging to the former category are referred to as poorly ventilated throughout the remainder of this article, while the latter are described as well-ventilated. In contrast with the wide variation in building materials used for the walls and roofs of the poorly ventilated houses, those in the well-ventilated category almost all had walls made of baked bricks and almost all had roofs made of iron sheets.

Householders explained that the window spaces of so many houses were bricked up (Table 1) because most houses in the area are built in a stepwise manner over several years, through repeated bouts of construction whenever household cashflow and time availability allowed. For example, the two houses depicted in Fig. 4A and B were both built in two halves, with the second half being built out as an extension of the first, thus resulting in the two corresponding roofs being separated by a small section of wall between the two where they overlap. It is therefore common practice for the window openings to be bricked up for security reasons (Fig. 4A–D) for several years, until the household can afford to install permanent conventional window frames and screens (Fig. 4E, F).

Fig. 4
figure 4

Typical examples of structural features of houses from cluster 2, typically of contemporary design with better a priori ventilation planning, and usually built with brick walls and iron sheet roofs, representative of various stages of completion. A, B Illustrate how a house may be built in two halves, with the second being an annex to the first, necessitating construction of a small upper wall between the overlapping roofs where additional openings for ventilation and lighting may be built into the structure (A). C, D Illustrate typical examples of temporary brickwork structures used to fill in deliberately constructed window gaps, usually for several years while the household saves enough money to install window frames and security bars (E, F). Note that the house depicted in D was the one identified by the cluster analysis as the medoid of the second cluster of houses with well-planned ventilation features, meaning it was the most statistical representative member of that cluster of houses

Note, however, that these window spaces are usually only partially bricked up, leaving either completely open spaces (Fig. 4C, D) or partially open brick lattices (Fig. 4A, B) at the top, to allow airflow and light into the house. It was also noted that the eaves of such houses with temporarily bricked up window spaces are often necessarily left open for ventilation and lighting. Some participants explained that the eventual installation of permanent window frames (Fig. 4E, F) is usually accompanied by closing of the eave gaps (Fig. 4A, B, D and F) because the latter then become redundant as a means of ventilation and continue to allow mosquitoes to enter despite the windows themselves being fully screened (Fig. 4E, F).

In contrast, the first cluster was mostly comprised of small houses that were not designed so deliberately to maximize airflow and light entry, and usually had fewer rooms, narrower eave gaps and smaller window spaces, if any (Fig. 5). Although some of them had brick walls, others were made of mud and wattle and most were roofed by locally available natural materials, such as thatch/palm leaves. All were occupied by low-income householders and, unlike the better ventilated houses, none had a cement floor.

Fig. 5
figure 5

Representative examples of the cluster one houses with poorly planned ventilation based on traditional designs, which were often built with traditional materials like mud and wattles or unbaked bricks for the walls and grass thatch or palm leaves supported by bamboo poles for the roofs

Through observation and informal discussion with study participants, the investigators came to understand that all of the poorly ventilated houses with bricked up window spaces and (Fig. 5A, B), were constructed a long time ago by elders who transitioned traditional designs using mud and wattle (Fig. 5C) to baked (Fig. 5A) or unbaked (Fig. 5B) bricks without changing the overall structural plan. Consistent with the observations of recent studies in the area [44] it was found that only a small proportion of mud-and-wattle houses remain in the semi-urban setting of Ifakara town, comprising only 6% (3/54) of the enrolled houses despite the fact that only houses with open structures and incomplete screening against mosquitoes were selected for inclusion in this study. All three of these mud and wattle houses were essentially temporary structures with no windows, open eaves and thatch roofs (Fig. 5C). This small number of mud, wattle and thatch houses were observed to be predominantly small, peripherally located and seasonally occupied until the occupants can afford to build a permanent brick-walled house. Seasonal livelihoods practiced by these households included farming and fishing, and temporary occupancy was sometimes motivated by funerals and other occasional ceremonies.

Practical procedures for screening installation

Materials for mosquito-proofing (Fig. 6) were acquired almost exclusively through one of two major ways: (1) Traditional construction materials that were readily available at no cost in and around the house itself (Mud bricks and brick rubble, mud, tree branches, bamboo, grass and palm leaves), which were used to modify the overall structure of the house to make it much easier to fit netting screens to (Fig. 7), and (2) Affordable hardware readily available for purchase through the retail sector in Ifakara town (PVC-coated fiberglass mosquito screening staples, nails, and string), all of which were procured and installed by the project team free of any charge to the household. The only item that had to be procured from outside of Tanzania, rather than from local vendors in Ifakara, was an unusually robust brand of adhesive tape (Gorilla Tape®) that proved appreciably superior to equivalent products available in Ifakara.

Fig. 6
figure 6

Examples of readily available traditional construction materials in and around environment of the recruited houses. A Remaining bricks and brick rubble left over after construction of a house. B Bundles of grass thatching collected nearby, which are commonly used for roofing. C Palm leaves used to roof a small mud and wattle house

Fig. 7
figure 7

Examples of brickwork lattices and low-cost netting installations used as an interim solution for mosquito-proofing window gaps in brick houses, while also allowing improved lighting and ventilation, for households that could not yet afford to install permanent window frames with security bars (Figs. 4E, 3F). The lattices were formed with bricks and brick rubble, usually just by rearranging the materials that had already been used to fill in the window space completely or nearly completely. The netting installation consisted simply of standard PVC-coated fiberglass screening cut into appropriately sized panels, fitted with robust borders by folding strips of heavy-duty adhesive tape along their edges, which was then reinforced with staples before then nailing into position, directly into the brickwork surrounding the window gap

Figure 5A shows the design, shape and appearance of a house built with brick walls and a thatched roof with only one small window for light and ventilation, similar to the most representative medoid house for the second cluster of poorly ventilated houses, which had been demolished and could no longer be photographed by the time of writing. On other hand, Fig. 5B shows a typical small house with walls made of unbaked mud bricks house with a veranda used as a sheltered seating and storage area. The large mud and wattle house depicted in Fig. 5C had no windows, was short in height but occupied a quite long footprint to accommodate the two bedrooms that were separated by a central kitchen room for keeping house utensils and cooking during the rainy season because this house lacked a veranda. It was notable that this house was often heavily contaminated with dust, ashes and smoke because of this indoor kitchen.

Based on informal discussions with some of the participants, it was concluded that it was essential to avoid compromising their pre-existing willingness-to-pay for conventional, permanent window installation formats that include full frames, security bars and grills (Fig. 4E, F). These participants confirmed that it was their intention to follow that same normal practice over the long term and agreed that the modifications the investigators could help them make were intended as a medium term “stopgap” solution for a few years. The study team therefore agreed to work with them to develop the following broadly applicable formats, which were affordable enough to have potential for population-wide scale up and were viewed by the households as an acceptable interim solution until they could afford to install permanent, fully-secure mosquito-proofed window frames (Fig. 4E, F) themselves and then close off remaining access points for mosquitoes, particularly the eaves, on a long-term basis.

From a practical perspective, houses required two distinct approaches to participatory netting screen installation, both of which occurred in both of the identified housing clusters: (1) Houses designed a priori with window spaces, even though most of these were at least partially bricked up on a medium-term basis. For such houses, it was usually possible to close the eaves with consent of the household soon after they had already consented to open up the brickwork used to fill the window space into lattices and had a chance to experience the correspondingly improved lighting and airflow. (2) Houses without any window spaces incorporated into their design, so their eaves could not be closed without compromising ventilation and lighting.

For the first group of houses, the pre-existing practice of filling window spaces with brick lattice work (Fig. 7) was identified as a widely acceptable medium-term substitute for security bars, which allowed more airflow and light to enter than the previously near-complete solid temporary brickwork filling (Fig. 4A,B,C,D). While this practice was far from universal in the community at the outset of the study, this solution proved acceptable to almost all (85%; 35/41) participating households living in this first category of houses with window spaces incorporated into their design.

Wherever the household head agreed, the research team took the opportunity to open up window spaces as much as possible by reorganizing the pre-existing brick work filling into lattices, thus allowing more airflow and light into the house (Fig. 7A, B), especially in houses with closed eaves and limited ventilation generally.

Many householders expressed clear awareness of the health benefits of increased air and light within their houses but also substantive concerns about risks to their privacy and security, particularly their vulnerability to thieves. Despite these concerns, 94% (31/33) of households with open eaves agreed to close them with readily available brick rubble and mud (Fig. 8A) once their window spaces had been modified into open brickwork lattices (Fig. 7) and 3 households even purchased concrete (Fig. 8B) and wooden strips (Fig. 8C) to enhance these modifications at their own expense. Initially, a small number of households (4% or 2/41 of the well-ventilated houses) preferred fitting tape-reinforced eave screening panels over closing their eaves (Fig. 9A, B). In both cases, the householders explained that this preference was motivated by the need to prevent ants or termites from attacking the wooden beams or branches supporting the roof. However, installing eave screening to these houses proved very awkward and laborious to implement because these panels had to be individually tailored to fit around the numerous wooden beams supporting the roof sheeting and could only be secured along their upper edge by gluing them to the undersides of the metal sheets of the roof (Fig. 9C). Also, the latter necessity yielded an installation format that proved to have poor durability, so some of these households (33%; 2/6) subsequently decided to close their eaves with brick and mud (Fig. 8), similarly to those households who agreed to this modification from the outset.

Fig. 8
figure 8

Examples of occupant investments from their own pockets into enhancing the housing modifications they were helped to implement by the research team. A Illustrates one household who enthusiastically closed the eaves with mud and bricks. B A household that bought their own bricks and used them to fill in their very large eave gaps to facilitate screening of the remaining openings by the research team. C An example of how one household bought and installed wooden strips to re-enforce the netting screen installations which were provided free of charge by the study team

Fig. 9
figure 9

The panels show how some of the larger  brick houses with metal roofs fitted with netting on their eaves following the request of house owners. A, B Are both representative the kind of large houses that required a lot of netting, tape, nails, glue and other sundry materials to screen their eaves. The netting screens were first glued to bottom of the iron roof and then other hanging part was nailed on to the walls. Unfortunately, this particular installation format never lasted more than a year after installation (C), due to detachment of the glued section from the iron roof sheets. As illustrated in A, in all cases brick houses requesting netting eave screens declined to have the brickwork in their window spaces reorganized into lattices

In summary, such large brick houses in the first category of structural modification needs, with bricked up window spaces and open eaves, were far more laborious and expensive to screen because these eave gaps are not only physically awkward but also extensive in length (Table 1, Figs. 2 and 3), so they required far more netting and additional materials per unit of footprint area to screen effectively (Fig. 9).

For the second group of houses lacking window spaces, either the eaves were screened with netting panels (Fig. 10B) or they were filled with brick rubble and mud (Fig. 10C), depending on the preferences of the households themselves, exactly as described for the houses with window spaces. On the other hand, none of the mud and wattle houses in this poorly ventilated housing cluster required any window screen installations, simply because they all lacked windows and relied entirely upon open eave gaps for ventilation (Fig. 10D). Fortunately, the eave gaps of these windowless mud, wattle and thatch houses, or even brick-walled houses with thatched roofs proved to be far easier and less expensive to screen with netting than larger brick houses with metal roofs. This was simply because screen panels with re-enforced borders could be readily tied/nailed to the bamboo/palm stem lattice supporting the thatch (Fig. 10E).

Fig. 10
figure 10

Examples of netting screen installations in houses built with traditional materials. A A typical traditional house made with unbaked bricks showing how these houses can be modified in order to allow air and light to pass into the house through brick lattices that can then be screened to exclude mosquitoes as described in Fig. 6 for more contemporary house designs. BD depict houses with thatched roofs over baked brick (B, C) or mud and wattle (D) walls. While C illustrates one example in which the household chose to block the eaves with brick rubble and mud, the majority of households with thatched roofs preferred installation of netting eave screens (B, D), to prevent ants and termites attacking the natural materials they are constructed from. E illustrates how easily the netting screen could be installed over the eaves of thatched roofs by nailing or tying directly onto the bamboo or palm stem supports holding up the roof

It was also observed that occupants of mud and wattle houses often left gaps in the walls or around the door frames and refrained from filling them because there was little point in doing so when the eaves remain open, because mosquitoes would consequently find their way in regardless. Following screening of the open gaps of eaves in two of the five mud and wattle houses, the investigators succeeded in convincing the occupants to fill such gaps in the walls and around door frames with mud after explaining to them that these had probably become the most important remaining entry point for malaria mosquitoes.

One particularly useful experience to communicate from the extensive informal discussions with householders was the importance of explaining the known differential effect of house screening upon house entry by Anopheles and Culex mosquitoes [45, 46]. Almost all households were unaware that most of the mosquitoes in their houses were Culex mosquitoes and that they are incapable of transmitting malaria but readily find their way into even the best-screened houses [47,48] for reasons that remain to be determined. Once this difference between Culex and Anopheles, in terms of their ability to enter screened houses, and the known potential for selectively excluding malaria vectors even from houses with persisting high densities of Culex was explained, all participants then engaged far more enthusiastically in the study.

Effect of screening eaves and windows on indoor densities of mosquitoes

A total of 110,984 female mosquitoes were collected over a total of 921 house nights of trapping over the full course of the experiment, averaging 121 mosquitoes per house per night. The most abundant mosquito taxon caught was Culex spp. (107,678 or 97.0% of the total), most of which were probably Cx. quinquefasciatus [49]. Most of the small remainder (2543 or 2.3%) were identified morphologically as members of the An. gambiae complex, which was entirely composed of An. arabiensis in the area at the time of the study [31]. Mansonia africana and Anopheles squamosus respectively represented about 0.5% (549) and 0.2% (198) of the total mosquito catch, but neither are considered to be vectors of any common disease in this area. The least abundant mosquito taxon caught was the An. funestus group, of which only 16 specimens were caught, accounting for only 0.1% of the total catch. The statistical analysis of indoor mosquito densities therefore focused upon Culex spp. as the most important cause of nuisance biting and An. gambiae sensu lato (s.l.) as the most important malaria vector in this study setting at that time. From this point forward, counts for these taxa are described as Cx. quinquefasciatus and An. arabiensis on the basis of the respective dominance of these two species within these two taxa [31, 49].

As illustrated in Fig. 11A, houses in all three of the allocated study arms had similar indoor densities of Cx. quinquefasciatus before the introduction of screening as an intervention (P = 0.65 and P = 0.91 for houses randomly allocated to screened but untreated or screened and those screens treated with PM, respectively, compared to houses allocated to unscreened arm). Similarly, Fig. 11B illustrates how indoor densities of An. arabiensis were indistinguishable across the three study arms before any screening intervention treatments were introduced (P = 0.13 and P = 0.93 for houses respectively allocated to screened but untreated and those assigned to screened plus PM treatment, when compared to houses allocated to the unscreened study arm). Once screening was introduced, however, indoor catches of both species were reduced in houses assigned to those two study arms (Fig. 11A, B and Table 2). Consistent with previous reports [47, 48, 50], the degree of reduction observed differed starkly between the two mosquito species: While indoor densities of Cx. quinquefasciatus were approximately halved, An. arabiensis densities were reduced by approximately 40-fold, relative to houses in the controls. Treatment of the netting screens with PM insecticide had no apparent effect on indoor catches of Cx. quinquefasciatus or An. arabiensis (P = 0.831 and 0.676, respectively for houses with insecticide-treated screens versus those with untreated screens).

Fig. 11
figure 11

Indoor catches of Cx. quinquefasciatus (A) and An. arabiensis (B) with the smoothed mean for each treatment allocation arm estimated with a generalized linear mixed model (GLMM) for each species outlined as the black (Negative control; no screening), yellow (Screening but no insecticide treatment) and red (Insecticide-treated screens) lines with their respective 95% confidence intervals depicted as grey shading. The dependent variable was density of indoor collected mosquitoes, while screening procedure was the independent variable and the random variables were the time (date when data were collected) and location (the neighbourhood each houses was recruited from)

Table 2 Impact of screening with and without insecticide treatment upon the densities of Culex quinquefasciatus and Anopheles arabiensis as estimated with a separate generalized linear mixed model for each species

While well-ventilated houses had similar indoor mosquito densities to poorly ventilated ones in the absences of house screening, there was an interactive effect between the two factors that approached significance for Cx. quinquefasciatus and was highly significant for An. arabiensis (Table 3). Once this incremental combination effect was accounted for, poorly ventilated houses were found to experience a somewhat lower level of protection against indoor-biting An. arabiensis (88% in Table 3 versus 97% in Table 2). However, well ventilated houses were found to accrue a further 89% incremental reduction of An. arabiensis densities when screened, resulting in an overall impact of 98%. While a similar interaction effect between screening and ventilation planning approached statistical significance for Cx. quinquefasciatus (Table 3), the small size of that incremental effect (20% reduction) renders it of negligible relevance to pathogen transmission or the perceptions of householders regarding the effectiveness of screening for preventing biting nuisance.

Table 3 The simple direct effects of screening (treated and untreated screens pooled into a single category based on similarity (Table 2) versus unscreened houses as the reference group) and house structure cluster membership (well ventilated versus poorly ventilated as the reference group) upon indoor mosquito densities, as well as the interactive effect between these two factors (screened and well ventilated versus all other combinations combined as the reference group), as estimated with a single generalized linear mixed model for each species

Residual insecticidal efficacy of pirimiphos-methyl painted onto mosquito screens

The PM treatments of the netting screen installations retained very high levels of residual efficacy against susceptible insectary-reared mosquitoes 4 months after initial treatment and reduced but nevertheless satisfactory efficacy after 8 months (Fig. 12). Wiping dust off the screens had no effect upon the insecticidal efficacy of the treatments (P = 0.42). Overall, insecticide activity was slightly reduced 8 months after PM treatment (Proportional mortality [95% CI] = 89% [83%, 93%]) when compared with the survey 4 months post treatment (Proportional mortality [95% CI] = 99% [97%, 99%]) when mosquitoes were exposed to the screens for 30 min and then maintained under insectary condition for 72 h (Odds ratio [95% CI] = 0.1 [0.06, 0.17], p < 0.0001) (Fig. 13).

Fig. 12
figure 12

Mean densities of mosquitoes caught in houses following implementation of the intervention treatments assigned to each house in the study design (Fig. 1)

Fig. 13
figure 13

The results of standard WHO cone assay tests for the residual efficacy of the pirimiphos-methyl (PM) treatments of mosquito screens fitted to participating houses. These assays used insectary-reared An. gambiae Ifakara strain and were conducted for 9 houses that were screened but not treated and for 17 houses that were screened and then the screens were then treated with PM. For each house on each round of data collection, only one screen installed over either an eave gap or a window was picked arbitrarily and tested at 4 different arbitrarily selected points

Discussion

Overall, the participatory community engagement approach of this study proved effective, with only two enrolled houses withdrawing from the study. All the remaining 52 houses participated enthusiastically throughout and were successfully modified and screened during or at the end of the study. Furthermore, collaboration with the participating households allowed us to identify common, freely available materials in the environment immediately surrounding each house and exploit them for the purpose of modifying their structure to make them easier and more affordable to screen. While some households had clear preferences about which structural modifications they found acceptable, all of them agreed to make necessary modifications and then agreed to the installation of netting screens to protect themselves from being bitten by mosquitoes while indoors. These simple and practical house modifications were made almost exclusively with locally available materials and were clearly understood by participants as a temporary substitute for far more expensive conventional window screening installations with permanent wooden frames and metal security bars and/or grills. These findings are consistent with those reported for similar participatory approach in Mozambique where households also engaged enthusiastically and some similar technical solutions were developed, specifically the fitting of cloth borders to screen netting panels [51]. The success of the participatory approach applied and the technical solutions developed through this small pilot study in Tanzania, and previously in Mozambique [51], suggest that the usual obstacles to mosquito proofing faced by low income households with so many other competing budget priorities [11, 37, 52, 53] may well be possible to overcome. Further studies that extend such approaches across much larger populations, and which include formal costing and social science investigations, are clearly merited to more rigorously assess their scalability.

Consistent with dozens of previous reports, this study confirms that screening of houses reduces indoor mosquito densities, even without any insecticide [8, 9, 54]. Furthermore, the observations confirm that house screening has a far greater impact upon indoor densities of Anopheles, in this case An. arabiensis (98% reduction), than upon the Cx. quinquefasciatus (46% reduction) [47, 48, 50]. The ability of Cx. quinquefasciatus to maintain high levels of nuisance biting inside screened houses, despite almost complete exclusion of the Anopheles species that mediate malaria transmission, was consistent with the results of previous studies [50]. This sustained biting nuisance by Cx. quinquefasciatus specifically was observed to undermine community perceptions of efficacy and acceptability until discussed with them and explained the distinct morphology and roles of these two mosquito taxa. Given that Cx. quinquefasciatus, otherwise known as the Southern House Mosquito, is probably the world’s most abundant human-biting mosquito [55, 56], and is known to motivate uptake of vector control measures like repellent coils [57], its influence upon public enthusiasm for screening of houses merits careful consideration and detailed investigation.

Unfortunately, the PM insecticide treatment evaluated here did not augment the household-level of protection provided by the physical barrier of the netting screens against either mosquito species. More encouragingly, however, this insecticide treatment did exhibit levels of residual efficacy against insectary-reared An. gambiae that remained very high 4 months after initial treatment and robustly satisfactory after 8 months, despite being exposed to dust and sunlight outdoors. So, while treating the screens in this way added no direct incremental protection at household level, it may nevertheless be possible to achieve more important community level effects upon malaria transmission through mass vector population suppression if high enough coverage can be achieved across landscape scales [16, 23,24,25,26].

One interesting and unforeseen observation of this study was the dichotomy of house designs that separated into distinct clusters of designs with well-planned and poorly planned structures in terms of potential for ventilation. Even more interesting was the interaction between the two design categories and the household-level protective effects of mosquito proof screening, with well-ventilated housing designs responding appreciably better to screening in terms of relative reductions of both An. arabiensis and Cx quinquefasciatus densities. Although this difference between the two distinct clusters of housing designs could have arisen from covariance between the design and the materials these houses were built with, this seems unlikely given that all these variables were included in the cluster analysis and a recent experimental study confirms that good ventilation can reduce mosquito entry rates [58].

While these results are generally very encouraging, it must also be recognized that this study has several limitations that merit detailed consideration. Indeed, all these study limitations will need to be addressed by further research studies before the effectiveness of this approach at scale can be adequately assessed and the generalizability of the findings across settings determined.

First and foremost, this was ultimately a relatively small study, with only 52 houses from the fringes of one modestly sized town in southern Tanzania enrolled and retained throughout the duration of the study. The representativeness of this small sample of houses and the generalizability of the results are therefore open to question. Second, the highly selective inclusion criteria used to enrol only houses with some remaining open entry points for mosquitoes was rational but obviously constrains extrapolations beyond these direct observations to expectations under conditions of community-wide scale up. Fully completed houses which had already been well screened were deliberately excluded, allowing us to focus on the kinds of houses that really needed interim mosquito proofing solutions while their occupants saved up for the expensive window frames and security bars required to install window screens on an essentially permanent basis. This study included no formal or representative community-wide surveys of the distributions of housing structures, ventilation planning or degree of mosquito-proofing across the community at large, so it is not possible to be sure how relevant the results obtained from this small and intentionally biased sample of houses are to the overall housing quality picture in Ifakara town, much less elsewhere in Tanzania or other African countries. Further studies should, therefore, be larger in scale and should attempt to estimate the size of the coverage gap this participatory approach could help fill, as well as the degree of coverage achieved in practice across entire communities.

Future studies should also ideally include far more formal social science investigations that go into far greater depth and triangulate the results of complementary methodologies against each other, such as in-depth interviews, focus group discussions and Photovoice surveys [14]. While some limited formal social science assessments had been planned to document the perspectives and ideas of the participant households at the end of this study, that was not possible for the same political and financial reasons described below in relation to the limited period of follow up on the insecticidal efficacy of the treated screens.

While only entomological indicators of protection against exposure to malaria vectors were recorded as the primary outcome, that makes sense in the context of such a small exploratory pilot study. Indeed, the limited scale of this study, and randomization at the level of individual houses rather than entire village communities, both precluded achievement of community-level mass effects on mosquito populations. It would, therefore, have been premature to record epidemiological indicators, which would in any case have been grossly underpowered for the purposes of demonstrating actual impacts upon malaria infection prevalence or incidence [59]. Consistent with current recommendations [59, 60], it was therefore considered reasonable to focus on entomological indicators of the direct personal protection effects that could be measured with such randomization at house level, as well as the insecticidal efficacy of the treated screens as an indicator of potential for community-wide mass effects on mosquito populations if implemented across larger scales.

However, perhaps the greatest limitation of this study is that measurements of insecticidal activity on the treated netting screens were only conducted twice at 4 months and 8 months, without further follow up. While the levels of insecticidal activity observed were encouragingly high at both time points, even without cleaning dust from the netting, it is only possible to speculate how long it would have lasted beyond that or how often such screens would need to be retreated. This relatively short period of follow up was caused first by an unfortunate turn of political events, when a round of local elections resulted in the majority of the local leaders who had facilitated the study being replaced, following which the term of the funding award that supported it expired before it was possible to re-establish collaboration with these new chairpersons and TCU leaders.

Conclusion

Despite these limitations, this small-scale pilot study does establish encouraging proof of principle for a number of intervention opportunities worthy of further investigation. First of all, community members proved largely receptive to the participatory approach applied here, resulting in comprehensive success with screening houses to effectively exclude malaria vectors, in most cases after making enabling structural modifications that were widely accepted by the enrolled households. While the insecticide treatment applied to these netting screens conferred no apparent incremental protection against mosquito entry at household level, the durability of insecticidal activity observed for this IRS formulation on the netting screens was encouraging: The observation that PM insecticide activity was sustained for at least 8 months on treated netting screens, which had far smaller combined surface areas than the walls and ceilings that this IRS formulation would normally be applied to [15], suggests that sizeable community-level mass effects upon malaria vector populations may be reasonable expected if this intervention were rolled out across larger scales. It is also encouraging that these screen installations proved considerably more effective at excluding malaria vector mosquitoes from more contemporary house designs intended to enable improved ventilation, so it may well be possible to achieve synergy between this supplementary housing improvement intervention and existing efforts of households to improve their domestic living environments.

Availability of data and materials

All of the materials used are freely available on the open market, including the formulation of PM insecticide used, which is registered in dozens of countries across Africa. The datasets and images supporting the conclusions of this article are included within the article and Additional file 1.

Abbreviations

IRS:

Indoor residual spraying

ITNs:

Insecticide-treated nets

PM:

Pirimiphos-methyl

WHO:

World Health Organization

References

  1. Killeen GF, Govella NJ, Mlacha YP, Chaki PP. Suppression of malaria vector densities and human infection prevalence associated with scale-up of mosquito-proofed housing in Dar es Salaam, Tanzania: re-analysis of an observational series of parasitological and entomological surveys. Lancet Planet Health. 2019;3:e132.

  2. Killeen GF, Govella NJ, Lwetoijera DW, Okumu FO. Most outdoor malaria transmission by behaviourally-resistant Anopheles arabiensis is mediated by mosquitoes that have previously been inside houses. Malar J. 2016;15:225.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Huho B, Briët O, Seyoum A, Sikaala C, Bayoh N, Gimnig J, et al. Consistently high estimates for the proportion of human exposure to malaria vector populations occurring indoors in rural Africa. Int J Epidemiol. 2013;42:235–47.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Killeen GF. Characterizing, controlling and eliminating residual malaria transmission. Malar J. 2014;13:330.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Killeen GF, Chaki PP, Reed TE, Moyes CL, Govella NJ. Entomological surveillance as a cornerstone of malaria elimination: a critical appraisal. In: Manguin S, Dev V, eds. Towards malaria elimination, a leap forward. 2018. p. 403–29.

  6. Killeen GF. A revival of epidemiological entomology in Senegal. Am J Trop Med Hyg. 2018;98:1216–7.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Kirby MJ, Green C, Milligan PM. Risk factors for house entry by malaria vectors in a rural town and satellite villages in The Gambia. Malar J. 2008;7:2.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Tusting LS, Ippolito MM, Willey BA, Kleinschmidt I, Dorsey G, Gosling RD. The evidence for improving housing to reduce malaria: a systematic review and meta-analysis. Malar J. 2015;14:209.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Tusting LS, Bottomley C, Gibson H, Kleinschmidt I, Tatem AJ, Lindsay SW, et al. Housing improvements and malaria risk in sub-Saharan Africa: a multi-country analysis of survey data. PLoS Med. 2017;14:e1002234.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Tusting LS, Gething PW, Gibson HS, Greenwood B, Knudsen J, Lindsay SW, et al. Housing and child health in sub-Saharan Africa: A cross-sectional analysis. PLoS Med. 2020;17: e1003055.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Gimnig JE, Slutsker L. House screening for malaria control. Lancet. 2009;374:954–5.

    Article  PubMed  Google Scholar 

  12. Chanda E. Exploring the effect of house screening: are we making gains? Lancet Planet Health. 2019;3:105–6.

    Article  Google Scholar 

  13. Geissbühler Y, Chaki P, Emidi B, Govella NJ, Shirima R, Mayagaya V, et al. Interdependence of domestic malaria prevention measures and mosquito-human interactions in urban Dar es Salaam. Tanzania Malar J. 2007;6:1–17.

    Google Scholar 

  14. Makungu C, Stephen S, Kumburu S, Govella NJ, Dongus S, Hildon ZJL, et al. Informing new or improved vector control tools for reducing the malaria burden in Tanzania: A qualitative exploration of perceptions of mosquitoes and methods for their control among the residents of Dar es Salaam. Malar J. 2017;16:126.

    Article  Google Scholar 

  15. Killeen GF, Masalu JP, Chinula D, Fotakis EA, Kavishe DR, Malone D, et al. Control of malaria vector mosquitoes by insecticide-treated combinations of window screens and eave baffles. Emerg Infect Dis. 2017;23:782–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Killeen GF. Control of malaria vectors and management of insecticide resistance through universal coverage with next-generation insecticide-treated nets. Lancet. 2020;395:1394–400.

    Article  PubMed  Google Scholar 

  17. Guyatt HL, Snow RW. The cost of not treating bednets. Trends Parasitol. 2002;18:12–6.

    Article  PubMed  Google Scholar 

  18. Killeen GF, Tami A, Kihonda J, Okumu FO, Kotas ME, Grundmann H, et al. Cost-sharing strategies combining targeted public subsidies with private-sector delivery achieve high bednet coverage and reduced malaria transmission in Kilombero Valley, southern Tanzania. BMC Infect Dis. 2007;7:121.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Killeen GF, Chitnis N, Moore SJ, Okumu FO. Target product profile choices for intra-domiciliary malaria vector control pesticide products: repel or kill? Malar J. 2011;10:207.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Kiware S, Tatarsky A, Wu S, Sánchez CHM, Chitnis N, Marshall JM. Attacking the mosquito on multiple fronts: insights from vector control optimization model (VCOM) for malaria elimination. PLoS ONE. 2017;12: e0187680.

    Article  PubMed  PubMed Central  Google Scholar 

  21. World Health Organization. Global plan for insecticide resistance management in malaria vectors. Geneva: World Health Organization; 2012.

    Google Scholar 

  22. Chinula D, Sikaala CH, Chanda-Kapata P, Hamainza B, Zulu R, Reimer L, et al. Wash-resistance of pirimiphos-methyl insecticide treatments of window screens and eave baffles for killing indoor-feeding malaria vector mosquitoes: an experimental hut trial. South East of Zambia Malar J. 2018;17:164.

    Google Scholar 

  23. World Health Organization. Insecticide treated mosquito nets: a position statement. Geneva: World Health Organization; 2007.

    Google Scholar 

  24. Killeen GF, Smith TA, Ferguson HM, Mshinda H, Abdulla S, Lengeler C, et al. Preventing childhood malaria in Africa by protecting adults from mosquitoes with insecticide-treated nets. PLoS Med. 2007;4: e229.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Hawley WA, Phillips-Howard PA, Ter Kuile FO, Terlouw DJ, Vulule JM, Ombok M, et al. Community-wide effects of permethrin-treated bed nets on child mortality and malaria morbidity in western Kenya. Am J Trop Med Hyg. 2003;68:121–7.

    Article  PubMed  Google Scholar 

  26. Killeen GF, Kiware SS, Okumu FO, Sinka ME, Moyes CL, Claire Massey N, et al. Going beyond personal protection against mosquito bites to eliminate malaria transmission: population suppression of malaria vectors that exploit both human and animal blood. BMJ Glob Health. 2017;2: e000198.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Smith T, Charlwood J, Kihonda J. Absence of seasonal variation in malaria parasitaemia in an area of intense seasonal transmission. Acta Trop. 1993;54:55–72.

    Article  CAS  PubMed  Google Scholar 

  28. Charlwood JD, Kihonda J, Sama S, Billingsley PF, Hadji H, Verhave JP, et al. The rise and fall of Anopheles arabiensis (Diptera: Culicidae) in a Tanzanian village. Bull Entomol Res. 1995;85:37–44.

    Article  Google Scholar 

  29. Killeen GF, Smith TA. Exploring the contributions of bed nets, cattle, insecticides and excitorepellency to malaria control: a deterministic model of mosquito host-seeking behaviour and mortality. Trans R Soc Trop Med Hyg. 2007;101:867–80.

    Article  PubMed  Google Scholar 

  30. Russell TL, Lwetoijera DW, Maliti D, Chipwaza B, Kihonda J, Charlwood D, et al. Impact of promoting longer-lasting insecticide treatment of bed nets upon malaria transmission in a rural Tanzanian setting with pre-existing high coverage of untreated nets. Malar J. 2010;9:187.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Lwetoijera DW, Harris C, Kiware SS, Dongus S, Devine GJ, McCall PJ, et al. Increasing role of Anopheles funestus and Anopheles arabiensis in malaria transmission in the Kilombero Valley. Tanzania Malar J. 2014;13:331.

    Article  PubMed  Google Scholar 

  32. Kaindoa E, Matowo N, Ngowo HS, Mkandawile G, Mmbando A, Finda M. Interventions that effectively target Anopheles funestus mosquitoes could significantly improve control of persistent malaria transmission in south-eastern Tanzania. PLoS ONE. 2017;12(5): e0177807.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Kisinza WN, Nkya TE, Kabula B, Overgaard HJ, Massue DJ, Mageni Z. Multiple insecticide resistance in Anopheles gambiae from Tanzania: a major concern for malaria vector control. Malar J. 2017;16:2.

    Article  Google Scholar 

  34. Matiya DJ, Philbert AB, Kidima W, Matowo JJ. Dynamics and monitoring of insecticide resistance in malaria vectors across mainland Tanzania from 1997 to 2017: a systematic review. Malar J. 2019;18:102.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Armstrong Schellenberg JRM, Abdulla S, Nathan R, Mukasa O, Marchant TJ, Kikumbih N, et al. Effect of large-scale social marketing of insecticide-treated nets on child survival in rural Tanzania. Lancet. 2001;357:1241–7.

    Article  Google Scholar 

  36. Finda MF, Limwagu AJ, Ngowo HS, Matowo NS, Swai JK, Kaindoa E, et al. Dramatic decreases of malaria transmission intensities in Ifakara, south-eastern Tanzania since early 2000s. Malar J. 2018;17:362.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Kaindoa E, Finda M, Kiplagat J, Mkandawile G, Nyoni A, Coetzee M, et al. Housing gaps, mosquitoes and public viewpoints: a mixed methods assessment of relationships between house characteristics, malaria vector biting risk and community perspectives in rural Tanzania. Malar J. 2018;17:298.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Van Belle G. Sample size: statistical rules of thumb, 2nd ed. Wiley; 2008. pp. 27–51.

  39. Briët OJT, Huho BJ, Gimnig JE, Bayoh N, Seyoum A, Sikaala CH, et al. Applications and limitations of Centers for Disease Control and Prevention miniature light traps for measuring biting densities of African malaria vector populations: a pooled-analysis of 13 comparisons with human landing catches. Malar J. 2015;14:247.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Coetzee M. Key to the females of Afrotropical Anopheles mosquitoes (Diptera: Culicidae). Malar J. 2020;19:70.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Magbity EB, Magbity EB, Lines JD, Marbiah MT, David K, Peterson E. How reliable are light traps in estimating biting rates of adult Anopheles gambiae s.l. (Diptera: Culicidae) in the presence of treated bed nets? Bull Entomol Res. 2002;92:71–6.

    CAS  PubMed  Google Scholar 

  42. Mutagahywa J, Chandonait P. Supplemental Environmental Assessment for Nationwide IRS in Tanzania 2020–2025. Proj Abt Assoc Inc. 2020;2:1–121.

  43. WHO. Guidelines for testing mosquito adulticides for indoor residual spraying and treatment of mosquito nets. Geneva, World Health Organization, 2006.

  44. Swai JK, Mmbando AS, Ngowo HS, Odufuwa OG, Finda MF, Mponzi W, et al. Protecting migratory farmers in rural Tanzania using eave ribbons treated with the spatial mosquito repellent, transfluthrin. Malar J. 2019;18:414.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Stephens C, Masamu ET, Kiama MG, Keto AJ, Kinenekejo M, Ichimori K, et al. Knowledge of mosquitos in relation to public and domestic control activities in the cities of Dar es Salaam and Tanga. Bull World Health Organ. 1995;73:97–104.

    CAS  PubMed  PubMed Central  Google Scholar 

  46. Mboera LEG, Makundi E, Kitua AY. Uncertainty in malaria control in Tanzania: Crossroads and challenges for future interventions. Am J Trop Med Hyg. 2007;77:112–8.

    Article  PubMed  Google Scholar 

  47. Ogoma SB, Lweitoijera DW, Ngonyani H, Furer B, Russell TL, Mukabana WR, et al. Screening mosquito house entry points as a potential method for integrated control of endophagic filariasis, arbovirus and malaria vectors. PLoS Negl Trop Dis. 2010;4: e773.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Kirby MJ, Njie M, Dilger E, Lindsay SW. Importance of eaves to house entry by anopheline, but not culicine, mosquitoes. J Med Entomol. 2009;46:505–10.

    Article  PubMed  Google Scholar 

  49. Matowo NS, Abbasi S, Munhenga G, Tanner M, Mapua SA, Oullo D, et al. Fine-scale spatial and temporal variations in insecticide resistance in Culex pipiens complex mosquitoes in rural south-eastern Tanzania. Parasit Vectors. 2017;12:413.

    Article  Google Scholar 

  50. Mburu MM, Juurlink M, Spitzen J, Moraga P, Hiscox A, Mzilahowa T, et al. Impact of partially and fully closed eaves on house entry rates by mosquitoes. Parasit Vectors. 2018;11:383.

    Article  PubMed  PubMed Central  Google Scholar 

  51. Van Den Berg H, Van Vugt M, Kabaghe AN, Nkalapa M, Kaotcha R, Truwah Z, et al. Community-based malaria control in southern Malawi: a description of experimental interventions of community workshops, house improvement and larval source management. Malar J. 2018;17:266.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Sanga SA, Lucian C. Cost shares and factor-cost ratios in owner-built incremental housing in Dar es Salaam. Tanzania J Constr Dev Ctries. 2016;21:113–30.

    Google Scholar 

  53. Mselle J, Sanga SA. Constraints facing incremental housing construction in Dar es Salaam. Tanzania J Constr Dev Ctries. 2018;23:1–20.

    Google Scholar 

  54. Anaele BI, Varshney K, Ugwu FSO, Frasso R. The efficacy of insecticide-treated window screens and eaves against Anopheles mosquitoes: a scoping review. Malar J. 2021;20:388.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  55. Bockarie MJ, Pedersen EM, White GB, Michael E. Role of vector control in the global program to eliminate lymphatic filariasis. Annu Rev Entomol. 2009;54:469–87.

    Article  CAS  PubMed  Google Scholar 

  56. Farajollahi A, Fonseca DM, Kramer LD, Marm KA. “Bird biting” mosquitoes and human disease: a review of the role of Culex pipiens complex mosquitoes in epidemiology. Infect Genet Evol. 2011;11:1577–85.

    Article  PubMed  PubMed Central  Google Scholar 

  57. Chavasse DC. The relationship between mosquito density and mosquito coil sales in Dar es Salaam. Trans R Soc Trop Med Hyg. 1996;90:493.

    Article  CAS  PubMed  Google Scholar 

  58. Mmbando AS, Bradley J, Kazimbaya D, Kasubiri R, Knudsen J, Siria D, et al. The effect of light and ventilation on house entry by Anopheles arabiensis sampled using light traps in Tanzania : an experimental hut study. Malar J. 2022;21:36.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  59. Wilson AL, Boelaert M, Kleinschmidt I, Pinder M, Scott TW, Tusting LS, et al. Evidence-based vector control? Improving the quality of vector control trials. Trends Parasitol. 2015;31:380–90.

    Article  PubMed  Google Scholar 

  60. Smith PG, Morrow RH, Ross DA. Field trials of health interventions: a toolbox. 3rd ed. Oxford: Oxford University Press; 2015.

    Google Scholar 

Download references

Acknowledgements

We thank Dr. John Gimnig at the US Centers for Disease Control and Prevention and Mr. Dingani Chinula at the National Malaria Elimination Centre of the Republic of Zambia for several stimulating discussions that informed and motivated this study. We also thank Dr. Andy Bywater of Syngenta Crop Protection AG for his advice on the study design and helpful comments upon the manuscript.

Funding

This study was primarily funded by the UK Medical Research Council (MRC) through its Public Health Interventions Development scheme (Award number MR/P01691X/1). GFK and DRK were partially supported by an AXA Research Chair award to GFK, jointly funded by the AXA Research Fund and the College of Science, Engineering and Food Sciences at University College Cork.

Author information

Authors and Affiliations

Authors

Contributions

RM implemented the study, prepared the initial draft of the manuscript and finalized it in consultation with the other authors. MH, DRK and JPM also contributed to implementing of the empirical field and insectary components of the study. MF and FOO helped refine the study design and implementation procedures, which were overseen and managed by DRK, EAM, EWK and GFK. FOO and GFK conceived, designed and secured funding for the study. All authors contributed to editing and finalization of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Rogath Msoffe.

Ethics declarations

Ethical approval and consent to participate

The procedures for this study were reviewed and approved by the Institutional Review Board of the Ifakara Health Institute (Ref. 09–2014) and the National Research Ethics Committee of the National Medical Research Institute (Refs. NIMR/HQ/R.8a/Vol. IX/2591 and Vol. 1/600) in the United Republic of Tanzania, as well as the Research Ethics Committee of the Liverpool School of Tropical Medicine (Ref. 17–027).

Consent for publication

No personally identifiable data or images are presented in this publication. Permission to publish this study was kindly provided by Director General of the National Institute for Medical Research of the United Republic of Tanzania.

Competing interests

All the other authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1.

An Excel® spreadsheet file containing all three data tables that were collected and analysed in this study, anonymized by removing all variables containing information that could be used to identify individuals, households or their houses.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Msoffe, R., Hewitt, M., Masalu, J.P. et al. Participatory development of practical, affordable, insecticide-treated mosquito proofing for a range of housing designs in rural southern Tanzania. Malar J 21, 318 (2022). https://doi.org/10.1186/s12936-022-04333-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12936-022-04333-0

Keywords