Is the current decline in malaria burden in sub-Saharan Africa due to a decrease in vector population?
Malaria Journal volume 10, Article number: 188 (2011)
In sub-Saharan Africa (SSA), malaria caused by Plasmodium falciparum has historically been a major contributor to morbidity and mortality. Recent reports indicate a pronounced decline in infection and disease rates which are commonly ascribed to large-scale bed net programmes and improved case management. However, the decline has also occurred in areas with limited or no intervention. The present study assessed temporal changes in Anopheline populations in two highly malaria-endemic communities of NE Tanzania during the period 1998-2009.
Between 1998 and 2001 (1st period) and between 2003 and 2009 (2nd period), mosquitoes were collected weekly in 50 households using CDC light traps. Data on rainfall were obtained from the nearby climate station and were used to analyze the association between monthly rainfall and malaria mosquito populations.
The average number of Anopheles gambiae and Anopheles funestus per trap decreased by 76.8% and 55.3%, respectively over the 1st period, and by 99.7% and 99.8% over the 2nd period. During the last year of sampling (2009), the use of 2368 traps produced a total of only 14 Anopheline mosquitoes. With the exception of the decline in An. gambiae during the 1st period, the results did not reveal any statistical association between mean trend in monthly rainfall and declining malaria vector populations.
A longitudinal decline in the density of malaria mosquito vectors was seen during both study periods despite the absence of organized vector control. Part of the decline could be associated with changes in the pattern of monthly rainfall, but other factors may also contribute to the dramatic downward trend. A similar decline in malaria vector densities could contribute to the decrease in levels of malaria infection reported from many parts of SSA.
Approximately half of the world's population is at risk of malaria, and an estimated 243 million infected cases resulted in nearly 863,000 deaths in 2008 . In sub-Saharan Africa (SSA), where 91% of all malaria-related deaths take place, malaria is estimated to result in an annual loss of 35.4 million Disability Adjusted Life Years with 85% of the deaths amongst children below five years of age. In SSA, around 40% of all public health spending is related to malaria .
Despite these distressing records, reductions in the numbers of malaria cases and malaria-related deaths by up to 50% over the past decade have been reported from several high burden African countries , including Eritrea, Rwanda, Zanzibar , Pemba , Tanzania mainland , Kenya  and Zambia . The declining infection rates and overall disease burdens as well as reduction in asymptomatic carriers are considered to be a consequence of improved quality of health systems, including improved case management, such as enhanced diagnostics and implementation of highly effective anti-malarial drugs. Large scale investments in intervention programmes specifically aimed at achieving high coverage of bed nets, campaigns of indoor residual spraying (IRS) and implementation of intermittent presumptive treatment (IPT) in vulnerable groups, have further reduced the malaria burden significantly .
The scale-up of malaria control interventions in high-endemic countries has without doubt contributed to the observed decline in malaria cases and deaths. However, other factors not related to intervention could potentially have an impact on mosquito vectors, and thereby reduce transmission, which subsequently will result in reductions in number of infected cases. Among these factors are urbanization, changes in agricultural practices and land use, and economic development resulting in e.g. improved housing construction . Global climatic changes resulting in changes in rainfall, humidity and temperature may also impact malaria vectors [8–10]. Despite the relevance of these multiple determinants and their potential roles in the declining malaria burdens, the majority of field studies reporting changing malaria epidemiology focus exclusively on the change in the occurrence of human infections and disease. In this respect, there have also been only limited research efforts invested in systematic data collection and mapping of long-term trends in vector densities and other vector related aspects of transmission in the areas where declining malaria infection and disease burdens have been reported.
Tanga Region in north-eastern Tanzania is among the areas in SSA where a significant reduction in the prevalence and burden of malaria recently has been observed . In the following, the temporal change in mosquito vector densities in the absence of organized vector control activities in two rural communities in this area during the period 1998-2009 is reported and discussed. The results in relation to an assessment of the effect of a drug based intervention targeting lymphatic filariasis in these communities during a part of this period have previously been published [11, 12], but here the attention focuses on temporal patterns observed in catches of the primary mosquito vectors, viz. Anopheles gambiae and Anopheles funestus, responsible for malaria transmission in this region.
The study was performed in two rural communities, Masaika (5° 16' 0'' S, 38° 49' 60'' E) and Kirare (5° 15' 4'' S, 39° 1' 47'' E), located 25 and two kilometres, respectively, from the Indian Ocean in Tanga Region, Tanzania. Plasmodium falciparum malaria is highly endemic in the area and out of an annual under-five year mortality rate of 158/1,000 births (1992-1993), malaria has previously been estimated to account for one out of three child deaths . The area is considered to normally have two annual rainy seasons; the 'long rains' in March-June and the 'short rains' in October-November. The majority of the inhabitants live in mud-walled houses thatched with dried coconut leaves. The main occupation in both communities is subsistence farming, whereas small-scale fishing contributes to the household income in one section of Kirare. At the end of each of the two study periods, the communities had populations of approximately 1,000 and 1,300 inhabitants, respectively. For further details regarding the characteristics of the two communities, please see [12, 14].
Initially, both of these study communities were selected as study sites for research projects focusing on the epidemiology and control of lymphatic filariasis (Wuchereria bancrofti infection). The intervention targeting lymphatic filariasis was based on mass drug administration using anti-filarial drugs and did not include any type of vector control measure. Hence, during the study period, there have been no organized attempts to control the mosquito vector populations, neither with indoor or outdoor insecticide spraying, nor via environmental management targeting mosquito breeding sites. During the period 6th July 1998 to 30th November 2001, mosquitoes were collected in Masaika. Following an intermediate period from 1st December 2001 to 9th November 2003 without data collection, collection of mosquitoes commenced again in Kirare from 10th November 2003 to 31st December 2009. For more details regarding the study designs, please see [11, 12, 14–16].
At the time of the study in Masaika, and during the early part of the study in Kirare, very few households used bed nets. In April 2010 (four months after cease of mosquito collection for the present study), a survey in Kirare indicated that the number of bed nets (all types) relative to the number of inhabitants was 27.6%, and 66.4% of all households had a bed net (all types). Sixty-one out of 351 households (17.4%) were found to have at least one insecticide-treated net (ITN). The number of ITNs relative to the number of inhabitants, however, was just 6.6%. Use of mosquito coils and other mosquito prevention measures are very rare.
The primary vectors of malaria in sub-Saharan Africa are freshwater breeding members of the Anopheles gambiae s.l. complex and Anopheles funestus. The predominant indoor man-biting mosquitoes in the Tanga Region are An. gambiae s.l., An. funestus and Culex quinquefasciatus[11, 12, 15]. Anopheles gambiae and An. funestus breed in clear water, the former typically in stagnant temporary pools without vegetation and the latter in more permanent water bodies often with some vegetation where the larvae can tolerate some water movements. Culex quinquefasciatus can tolerate water with a very high content of organic matter and are typically found breeding in cesspools, pit-latrines and septic tanks .
Mosquito collection and identification
Among the approximate 285 and 350 households in Masaika and Kirare, respectively, 50 households were randomly selected in each community using a cluster sampling technique as described previously . If the selected household only had one inhabitant, the nearest household with at least two inhabitants was selected instead. Mosquitoes were sampled from each of the 50 selected households in each community once weekly for the mentioned period, using one CDC light trap/household . In this area, the CDC light trap effectively collects host-seeking indoor night-biting Anopheles and Culex mosquitoes, and the number of mosquitoes caught in one light trap is approximately equal to two-thirds of the number caught by one person acting as bait in human landing collection . In each community, mosquito collection took place in 10 households on each weekday night. Each individual sleeping in a room with a light trap was provided with a 2-mm-mesh polyester un-impregnated bed net measuring 1 × 2.5 × 2 m. In each study household, the light trap was placed beside an occupied bed net. In both communities, a trained member of the household supervised by a local field assistant turned the light trap on at 18.00 hours and turned off at 06.00 hours the following morning after the collection bag had been closed with a string. The local field assistant transferred the mosquitoes to a labeled paper cup covered with netting material, which held a cotton pad soaked in 10% glucose. The cups were placed in a cool box and transported to the laboratory in Tanga Town, where the mosquitoes were anaesthetized with ethyl acetate, sorted, identified by morphological characteristics and counted. In the present paper, the categorization of mosquito species groups was limited to An. gambiae s.l., An. funestus and Cx. quinquefasciatus. For further details regarding the sampling and identification of mosquitoes, please see [11, 12, 15].
Rain fall data
The daily rain fall data from the Maji Depot Tanga Rainfall station (Ministry of Water and Irrigation, Tanzania) in the period June 1st 1998 to December 31st 2010 were kindly provided by the Director of the rainfall station, Mr. Fundi. The rainfall station is located in the centre of Tanga Town (5 4' 58" S, 39 5' 21" E) approximately 35 and 20 kilometres from Masaika and Kirare, respectively.
The daily average number of each of the three mosquito species per trap was calculated by dividing the total number of each species caught with the number of traps used on the specific day. These data were entered in Access and later transferred to SPSS (PASW 18, version 18.0.0) for generation of simple frequency tables. Analyses of mosquito and rainfall time series from each study location were based on monthly aggregates derived for these variables. Longer-term trends in each rainfall/mosquito series were assessed using the non-parametric seasonal Mann-Kendall test that takes account of any seasonality in these data . Cumulative periodogram analysis was also applied to each rain fall series in order to detect differences in important frequencies/periodicities between the two study locations or time periods . Finally, the temporal association between monthly mosquito counts and mean monthly rainfall and month itself was investigated using Poisson generalized additive mixed models (GAMMs) with a AR-1 autocorrelation function to take account of serial correlation in the data . The total number of traps used per month was employed as an offset in the fitted models.
Mosquitoes were systematically collected for a total period of nine years in the two rural communities. Overall, mosquitoes were collected for a total of 2,407 weekdays excluding 85 intermediate weekdays (representing less than 4% of the originally planned days of collection), when mosquitoes were not collected due to holidays, funerals and logistic problems. Due to occasional absence of habitants in the selected catching households, light traps were some times not installed in all 10 households on each weekday. During the weekdays where collection of mosquitoes took place, the mean number of traps was 8.8. On 1252 collection days (52.0% of all collection days), mosquito collection took place in all 10 households. Data on the content of 21156 light traps are included in analysis of the present study.
An overview of rainfall, number of traps used and number of mosquitoes sampled in Masaika (first period, 1998-2001) and in Kirare (second period, 2004-2009) are presented in Table 1 and 2, respectively. In order to allow a comparison of annual collections of equal periods, precipitation and mosquito data collected during the periods 6th July - 30th November 1998 (Masaika) and 10th November 2003 - 31st December 2003 (Kirare) are not presented in the tables. These data are, however, included in the statistical analyses and subsequent presentation of results (Figures 1 and 2). As shown in Table 1 the pre-dominant Anopheline species at the start of the data collection period in Masaika was An. gambiae, whereas in Kirare (Table 2) both An. gambiae and An. funestus occurred with almost the same frequency at start of data collection. From the initial period to last period of sampling in Masaika, the average number of An. gambiae, An. funestus and Cx. quinquefasciatus collected per trap decreased by 76.8%, 55.3% and 64.0%, respectively (Table 1 and Figure 1a). The monthly change in mosquito numbers in Masaika (first period) is shown in Figure 1a; statistical analysis of these data using the fitted GAMM model indicates that the declines observed in the Figure were statistical significant for all three mosquito species (p < 0.001 for both Anopheles; p = 0.011 for Culex, respectively). In Kirare, the equivalent decreases for An. gambiae, An. funestus and Cx. quinquefasciatus were 99.7%, 99.8% and 38.8%, respectively (Table 2 and Figure 1b). However, while the longitudinal decline in An. gambiae assumed significance (p = 0.049), the declines in number of An. funestus and Cx. quinquefasciatus per trap were either only borderline or found not to be significant (p = 0.089 and p = 0.534, respectively). During the last year of mosquito collection in Kirare (2009), the use of 2368 traps produced a total of only nine An. gambiae and five An. funestus mosquitoes.
Whereas the GAMM modeling showed that for the first study period (Masaika), the observed decline in An. gambiae numbers over the entire study duration was positively related to longitudinal changes in rainfall (p = 0.002), the numbers of An. funestus and Cx. quinquefasciatus were apparently not (p = 0.924 and p = 0.071, respectively). By contrast, for the second period (Kirare), while Cx. quinquefasciatus numbers were found to positively related with rainfall fluctuations (p = 0.023), the declines observed for both An. gambiae and An. funestus appeared unrelated to this climatic variable (p = 0.083 and p = 0.089, respectively).
With respect to rainfall changes per se, the results indicated that monthly rainfall during the first period of sampling (Masaika) exhibited a statistically significant decreasing trend (seasonal Mann-Kendall tau = -0.412; p = 0.012), whereas it appeared unchanged over the second period (Kirare) (tau = -0.047; p = 0.011). Figure 2 depicts the cumulative periodograms obtained for the monthly rainfall series in Masaika and Kirare respectively. The plot for the Masaika data (Figure 2a) shows the estimated periodogram crossing the upper limit of the null hypothesis that the series is purely noise at a frequency of 0.088 (i.e. at around 12 months) with another vertical step occurring at a frequency of 0.155 or at around 6 months. These frequencies correspond to the existence of annual and 6-monthly peaks in monthly rainfall or two rainy seasons in this location (Figure 2a). By direct contrast, the cumulative periodogram for Kirare (2nd period) remained bounded within the upper and lower boundaries of the null hypothesis (Figure 2b), suggesting the absence of a well defined periodicity in the observed monthly rainfall pattern in this location (see Figure 1b).
The present study clearly revealed, in the absence of organized vector control activities, a dramatic temporal decline in the density of malaria mosquito vectors in a SSA rural area with a previous history of high P. falciparum malaria endemicity. The results indicated that the indoor density of the two main vectors of P. falciparum malaria, An. gambiae and An. funestus, declined considerably during both study periods, which covered a total time span of more than 9 years. The overall decline in the number of Anopheline mosquitoes was within the range of 55-77% over the first study period (1998-2001), whereas the trend continued and became more pronounced over the subsequent period (2003-2009). Hence, during the last year of mosquito collection in Kirare, the annual numbers of collected An. gambiae and An. funestus, as compared to 2004, had declined by more than 99%. Despite the annual employment of more than 2300 traps, a total of only 14 Anopheline mosquitoes were collected in 2009. A valid comparison of the two study periods should be performed with caution, since the data were collected in different communities, which, despite their relative proximity to each other may differ in terms of local factors of relevance for mosquito vector capacity and population dynamics, including variations in quality and number of breeding sites, microclimatic conditions, housing structures or environmental factors.
The P. falciparum infection rates in humans were not assessed in the study communities during the two study periods. However, an almost complete absence of indoor exposure to Anopheline mosquitoes, as observed in Kirare in 2009, would most likely result in a rapid and pronounced decline in intensity of transmission, and thereby the prevalence of malaria infection, morbidity and mortality among the study inhabitants.
Recent reports and publications have described pronounced reductions in the prevalence of P. falciparum infections and malaria-related disease burdens among inhabitants in several African countries over the past decade [1, 4–7]. Interestingly, the study from Pemba, Tanzania, an island in close proximity to Tanga Region, suggested that malaria transmission had started to decrease prior to the onset of a control programme implemented during the period 2003-2005 . Of specific relevance to the present study are also longitudinal investigations carried out in two rural communities (lowland and highland) in Korogwe District, Tanga Region, Tanzania - an area located less than 70 kilometre from Masaika and Kirare . During the period 2003-2007, the P. falciparum prevalence decreased dramatically from 78.4% to 24.0% in the lowland community, and from 24.7% to 6.5% in the highland community, respectively. Likewise, the incidence of febrile malaria episodes in the two communities decreased by almost 85% during the same period. Temporal changes in mosquito vector densities were not assessed by the authors and specific reasons for the observed decline in P. falciparum infections and related morbidity could not be identified. When considering the proximity to the communities included in the present study, the results suggest that it is likely that the decline in malaria infection and disease burden in those communities could have been a result of a decline in the Anopheline population of perhaps a similar magnitude as observed in the present study. If this assumption is correct, the findings suggest that at least in some areas in Africa, the decline in prevalence of human P. falciparum infections and malaria-related disease is driven by a natural decline in the occurrence of mosquito vectors. In tropical Africa, where mosquito abundance often follows the rainy season, precipitation can be regarded as the primary climatic determinant for variation in Anopheline population size. However, the results suggest that this linkage to rainfall may be related in a complex fashion to the patterns of rainfall experienced in a location as well as the population dynamics and breeding habits of the vector species in question. Thus, while declines in An. gambiae numbers in Masaika were related to a declining trend in mean monthly rainfall, variations in none of the Kirare mosquito populations appeared to be related to changes in mean monthly rainfall. The present analysis has highlighted that one intriguing possibility that may underlie the decrease in An. gambiae populations in particular may arise as an outcome of the change from a regular seasonal rainfall pattern as observed in period 1 (Masaika) to a more noisy or variable temporal pattern observed in Kirare. This suggests that climate change leading to the disruption of stable seasonal rainfall in a location could result in highly dynamic vector population dynamics that might increase the probability of mosquito extinction .
This conclusion appears to be further supported by the fact that there has been no organized attempt to control mosquitoes using insecticides or environmental management in the two study communities. During the first study period only very few inhabitants in Masaika used a bed net, while in Kirare, although bed nets were rarely used in the beginning, a survey carried out after the end of the study indicated that the prevalence of bed nets reached 27% and some inhabitants also used ITNs (6.6%). The use of ITNs may have resulted in some decline in the indoor density of Anopheline mosquitoes and could have triggered a change in biting/resting behavior including a shift from an indoor to an outdoor environment . The sibling species composition within the An. gambiae complex and the An. funestus group was not investigated in the present study. It has been suggested that a specific bed net coverage will result in a higher reduction in transmission by An. gambiae ss as compared to reduction in transmission by the more zoophagic and exophilic An. arabiensis. However, even if all the An. gambiae in the present study were senso stricto, it is not likely that ITNs used by less than 7% of inhabitants (as seen during the last year of the study) would result in a 99% decrease in the indoor Anopheline mosquito populations .
The decline in mosquito numbers may also be a consequence of changes in socio-ecological conditions in the study area (e.g. changes in temperature, ability for water to pool, deforestation or land-use , change in the use of agricultural pesticides or insecticide-like compounds not directly applied for targeting malaria vectors , improved house constructions  or changes related to agricultural activities [28, 29]). An increase in predatorily pressure on the mosquito population  (e.g. birds or invertebrates) or an insect pathogen that specifically targeted mosquitoes, e.g. a bacterial , viral  or fungi infection , could also potentially have induced the observed declines. Regardless of the actual cause, the marked decline in the density of Anophelines followed by their almost complete absence at the end of the second study period suggests that the causing factor or factors have placed an extreme pressure on these mosquitoes.
It is interesting to notice that in neither of the two study communities was the population of Cx. quinquefasciatus affected with the same magnitude as compared to the two species of Anopheline mosquitoes. This difference suggests that either the Culex mosquitoes were less sensitive to the causing factor due to direct species-specific differences or that their pre-dominant breeding sites (organic polluted water bodies, pit latrines) were less affected by the changes as compared to the breeding sites of the Anopheline mosquitoes.
Assuming that the intensity of P. falciparum transmission has decreased to very low levels within the last five years, it is possible that an increasing proportion of inhabitants in this study area have only been marginally exposed to infections during this period. This would affect their natural acquisition of immunity, which is of specific importance for children who have been born and raised in the community within the last five years . In a prospective scenario, where the factors which have suppressed the Anopheline mosquito population will cease to play a role, immunologically naïve or partly naïve children and adults may thus have a significant risk of severe malaria related morbidity and death . In order to monitor and predict the risk of sudden epidemics it is, therefore, of outmost importance to identify the underlying causative factor or factors. The findings suggest that the pronounced decline in malaria mosquito vectors over the study periods is not a consequence of bed net use or indoor residual spraying. Although there may be an intriguing link to recent changes in rainfall patterns that requires further investigation, other potential explanations for the observed decline in vector populations in the two study communities should be explored, including an assessment of the potential role of changes in temperature, the ability for water to pool, agricultural activities, land use, vegetation, sibling species composition and impact of toxic substances and insect pathogens. It is likely that similar pronounced declines in malaria vector densities have contributed and still contribute to the decrease in levels of malaria infections and malaria disease seen in other geographical areas of SSA. Health professionals and researchers are strongly encouraged to initiate a systematic collection of the relevant mosquito vectors in order to monitor and assess the causative role of declining malaria vector populations in areas where decreasing levels of malaria infection and disease burden have been reported.
World Health Organization: WHO World Malaria Report. 2009, Geneva, Switzerland
World Health Organization: Roll Back Malaria: Key malaria facts. 2010, Geneva, Switzerland
O'Meara WP, Mangeni JN, Steketee R, Greenwood B: Changes in the burden of malaria in sub-Saharan Africa. Lancet Infect Dis. 2010, 10: 545-555. 10.1016/S1473-3099(10)70096-7.
Jaenisch T, Sullivan DJ, Dutta A, Deb S, Ramsan M, Othman MK, Gaczkowski R, Tielsch J, Sazawal S: Malaria incidence and prevalence on Pemba Island before the onset of the successful control intervention on the Zanzibar archipelago. Malar J. 2010, 9: 32-10.1186/1475-2875-9-32.
Mmbando BP, Vestergaard LS, Kitua AY, Lemnge MM, Theander TG, Lusingu JP: A progressive declining in the burden of malaria in north-eastern Tanzania. Malar J. 2010, 9: 216-10.1186/1475-2875-9-216.
O'Meara WP, Bejon P, Mwangi TW, Okiro EA, Peshu N, Snow RW, Marsh K: Effect of a fall in malaria transmission on morbidity and mortality in Kilifi, Kenya. Lancet. 2008, 372: 1555-1562. 10.1016/S0140-6736(08)61655-4.
Chizema-Kawesha E, Miller JM, Steketee RW, Mukonka VM, Mukuka C, Mohamed AD, Miti SK, Campbell CC: Scaling up malaria control in Zambia: progress and impact 2005-2008. Am J Trop Med Hyg. 2010, 83: 480-488. 10.4269/ajtmh.2010.10-0035.
Stresman GH: Beyond temperature and precipitation: Ecological risk factors that modify malaria transmission. Acta Trop. 2010, 116: 167-172. 10.1016/j.actatropica.2010.08.005.
Rogers DJ, Randolph SE: Climate change and vector-borne diseases. Adv Parasitol. 2006, 62: 345-381.
Parham PE, Michael E: Modeling the effects of weather and climate change on malaria transmission. Environ Health Perspect. 2010, 118: 620-626.
Simonsen PE, Meyrowitsch DW, Mukoko DA, Pedersen EM, Malecela-Lazaro MN, Rwegoshora RT, Ouma JH, Masese N, Jaoko WG, Michael E: The effect of repeated half-yearly diethylcarbamazine mass treatment on Wuchereria bancrofti infection and transmission in two East African communities with different levels of endemicity. Am J Trop Med Hyg. 2004, 70: 63-71.
Simonsen PE, Pedersen EM, Rwegoshora RT, Malecela MN, Derua YA, Magesa SM: Lymphatic filariasis control in Tanzania: Effect of repeated mass drug administration with ivermectin and albendazole on infection and transmission. PLoS Negl Trop Dis. 2010, 4: e696-10.1371/journal.pntd.0000696.
Salum FM, Wilkes TJ, Kivumbi K, Curtis CF: Mortality of under-fives in a rural area of holoendemic malaria transmission. Acta Trop. 1994, 58: 29-34. 10.1016/0001-706X(94)90119-8.
Simonsen PE, Meyrowitsch DW, Jaoko WG, Malecela MN, Mukoko D, Pedersen EM, Ouma JH, Rwegoshora RT, Masese N, Magnussen P, Estambale BBA, Michael E: Bancroftian filariasis infection, disease, and specific antibody response patterns in a high and a low endemicity community in East Africa. Am J Trop Med Hyg. 2002, 66: 550-559.
Rwegoshora RT, Pedersen EM, Mukoko DA, Meyrowitsch DW, Masese N, Malecela-Lazaro MN, Ouma JH, Michael E, Simonsen PE: Bancroftian filariasis: patterns of vector abundance and transmission in two East African communities with different levels of endemicity. Ann Trop Med Parasitol. 2005, 99: 253-265. 10.1179/136485905X29675.
Rwegoshora RT, Simonsen PE, Meyrowitsch DW, Malecela-Lazaro MN, Michael E, Pedersen EM: Bancroftian filariasis: house-to-house variation in the vectors and transmission - and the relationship to human infection - in an endemic community of coastal Tanzania. Ann Trop Med Parasitol. 2007, 101: 51-60. 10.1179/136485907X154610.
Service MW: Mosquito Ecology: Field sampling methods. 1993, London & New York: Elsevier, 2
Service MW: Mosquitoes (Culicidae). Medical Insects and Arachnids. Edited by: Lane RP, Crosskey RW. 1993, London: Chapman & Hall, 120-240.
Lines JD, Curtis CF, Wilkes TJ, Njunwa KJ: Monitoring human-biting mosquitoes (Diptera: Culicidae) in Tanzania with light-traps hung beside mosquito nets. Bull Ent Res. 1991, 81: 77-84. 10.1017/S0007485300053268.
Hirsch RM, Slack JR, Smith RA: Techniques of trend analysis for monthly water-quality data. Water Resour Res. 1982, 18: 107-121. 10.1029/WR018i001p00107.
Barnett AG, Dobson AJ: Analysing Seasonal Health Data. 2010, Berlin Heidelberg: Springer
Zuur AF, Leno EN, Walker NJ, Saveliev AA, Smith GM: Mixed Effects Models and Extensions in Ecology with R. 2009, New York: Springer
Constantino RF, Desharnais RA, Cushing JM, Dennis B: Chaotic dynamics in an insect population. Science. 2010, 275: 389-391.
Bogh C, Pedersen EM, Mukoko DA, Ouma JH: Permethrin-impregnated bednet effects on resting and feeding behaviour of lymphatic filariasis vector mosquitoes in Kenya. Med Vet Entomol. 1998, 12: 52-59. 10.1046/j.1365-2915.1998.00091.x.
Killeen GF, Smith TA, Ferguson HM, Mshinda H, Abdulla S, Lengeler C, Kachur SP: Preventing childhood malaria in Africa by protecting adults from mosquitoes with insecticide-treated nets. PLoS Med. 2007, 4: e229-10.1371/journal.pmed.0040229.
Yadouleton AW, Asidi A, Djouaka RF, Braima J, Agossou CD, Akogbeto MC: Development of vegetable farming: a cause of the emergence of insecticide resistance in populations of Anopheles gambiae in urban areas of Benin. Malar J. 2009, 8: 103-10.1186/1475-2875-8-103.
Konradsen F, Amerasinghe P, van der Hoek W, Amerasinghe F, Perera D, Piyaratne M: Strong association between house characteristics and malaria vectors in Sri Lanka. Am J Trop Med Hyg. 2003, 68: 177-181.
Munga S, Yakob L, Mushinzimana E, Zhou G, Ouna T, Minakawa N, Githeko A, Yan G: Land use and land cover changes and spatiotemporal dynamics of anopheline larval habitats during a four-year period in a highland community of Africa. Am J Trop Med Hyg. 2009, 81: 1079-1084. 10.4269/ajtmh.2009.09-0156.
Mwangangi JM, Shililu J, Muturi EJ, Muriu S, Jacob B, Kabiru EW, Mbogo CM, Githure JI, Novak RJ: Anopheles larval abundance and diversity in three rice agro-village complexes Mwea irrigation scheme, central Kenya. Malar J. 2010, 9: 228-10.1186/1475-2875-9-228.
Carlson JC, Dyer LA, Omlin FX, Beier JC: Diversity cascades and malaria vectors. J Med Entomol. 2009, 46: 460-464. 10.1603/033.046.0307.
Cook PE, McGraw EA: Wolbachia pipientis: an expanding bag of tricks to explore for disease control. Trends Parasitol. 2010, 26: 373-375. 10.1016/j.pt.2010.05.006.
Becnel JJ, White SE: Mosquito pathogenic viruses - the last 20 years. J Am Mosq Control Assoc. 2007, 23: 36-49. 10.2987/8756-971X(2007)23[36:MPVLY]2.0.CO;2.
Scholte EJ, Knols BG, Takken W: Infection of the malaria mosquito Anopheles gambiae with the entomopathogenic fungus Metarhizium anisopliae reduces blood feeding and fecundity. J Invertebr Pathol. 2006, 91: 43-49. 10.1016/j.jip.2005.10.006.
Reyburn H, Mbatia R, Drakeley C, Bruce J, Carneiro I, Olomi R, Cox J, Nkya WM, Lemnge M, Greenwood BM, Riley EM: Association of transmission intensity and age with clinical manifestations and case fatality of severe Plasmodium falciparum malaria. JAMA. 2005, 293: 1461-1470. 10.1001/jama.293.12.1461.
The people of Masaika and Kirare, and the staff from Amani Research Centre Filariasis Laboratory in Tanga are thanked for their commitment and skilled assistance. The study received financial support from European Union, Danida Development Research Council and DBL - Centre for Health Research and Development.
The authors declare that they have no competing interests.
DWM, MA, EMP and PES developed the idea for this paper. The text was drafted by DWM, with contributions from MA, PES, EMP and EM. Statistical data analyses were performed by THS and EM. The original studies, which provided the entomological data for this paper, were designed and carried out by PES, EMP, DWM, SMM, RTR, YAD, MNM and EM. All authors (except RTR, who passed away in 2006) read and approved the final manuscript.
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Meyrowitsch, D.W., Pedersen, E.M., Alifrangis, M. et al. Is the current decline in malaria burden in sub-Saharan Africa due to a decrease in vector population?. Malar J 10, 188 (2011). https://doi.org/10.1186/1475-2875-10-188