- Open Access
Malaria morbidity in Papua Indonesia, an area with multidrug resistant Plasmodium vivax and Plasmodium falciparum
© Karyana et al; licensee BioMed Central Ltd. 2008
- Received: 25 March 2008
- Accepted: 02 August 2008
- Published: 02 August 2008
Multidrug resistance has emerged to both Plasmodium vivax and Plasmodium falciparum and yet the comparative epidemiology of these infections is poorly defined.
All laboratory-confirmed episodes of malaria in Timika, Papua, Indonesia, presenting to community primary care clinics and an inpatient facility were reviewed over a two-year period. In addition information was gathered from a house-to-house survey to quantify the prevalence of malaria and treatment-seeking behaviour of people with fever.
Between January 2004 and December 2005, 99,158 laboratory-confirmed episodes of malaria were reported, of which 58% (57,938) were attributable to P. falciparum and 37% (36,471) to P. vivax. Malaria was most likely to be attributable to pure P. vivax in children under one year of age (55% 2,684/4,889). In the household survey, the prevalence of asexual parasitaemia was 7.5% (290/3,890) for P. falciparum and 6.4% (248/3,890) for P. vivax. The prevalence of P. falciparum infection peaked in young adults aged 15–25 years (9.8% 69/707), compared to P. vivax infection which peaked in children aged 1 to 4 years (9.5% 61/642). Overall 35% (1,813/5,255) of people questioned reported a febrile episode in the preceding month. Of the 60% of people who were estimated to have had malaria, only 39% would have been detected by the surveillance network. The overall incidence of malaria was therefore estimated as 876 per 1,000 per year (Range: 711–906).
In this region of multidrug-resistant P. vivax and P. falciparum, both species are associated with substantial morbidity, but with significant differences in the age-related risk of infection.
- Vivax Malaria
- Blood Film
- Vivax Infection
The true burden of malaria outside of sub-Saharan Africa has been underestimated , largely due to the lack of accurate estimates from India and Indonesia, whose combined population accounts for 20% of the world's population. In Indonesia, almost half of the country's population of 250 million live in malaria-endemic areas. In Java and Bali, where approximately 70% of the country's population live, malaria is hypoendemic and vivax malaria predominates. In the outer island groups, the incidence of malaria is much higher with the prevalence of Plasmodium falciparum and Plasmodium vivax infection almost equal. According to the National Health Household Survey in 2001, approximately 15 million people with clinical malaria sought treatment , three million of whom attend government health centres and hospitals. However, the true incidence of malaria is unknown since laboratory-confirmation is rare and only 20% of patients with symptomatic malaria seek treatment at government health facilities .
National statistics suggest an increase in malaria in Indonesia over the last three years. Although this is a consequence of several factors, the emergence and spread of antimalarial drug resistance is likely to be a key determinant. South-east Asia has been the focus for emerging drug resistant strains of P. falciparum for more than 40 years, but drug resistance in P. vivax has been slower to evolve. The first chloroquine resistant isolates of P. vivax were reported from Papua, Indonesia and Papua New Guinea in 1989 [4, 5]. These regions now have the highest rates of drug-resistant P. vivax in the world . A clinical drug study conducted in southern Papua in 2004, highlighted a risk of failure within 28 days of 65% after chloroquine monotherapy for P. vivax and 48% after chloroquine plus sulphadoxine-pyrimethamine for P. falciparum . The risk of of treatment failure elsewhere in Papua has reached 95% . Recent studies from both the north and south of Papua, have highlighted that multidrug-resistant P. vivax in this region is associated with severe malaria and even death [9, 10]. As a consequence of the high levels of antimalarial drug resistance, first-line treatment of uncomplicated malaria, for any species of infection, was changed to dihydroartemisinin-piperaquine in March 2006.
The aim of the present study was to document further the epidemiology of malaria in this region prior to the introduction of an artemisinin combination therapy, as part of an ongoing analysis of the impact of policy change. To achieve this a comprehensive epidemiological study was conducted using surveillance data from primary and secondary health facilities and a cross-sectional malaria prevalence survey. At the same time a treatment-seeking behaviour study was also conducted to estimate the burden of malaria occurring outside this surveillance system.
Study site and population
Malaria transmission is perennial, but restricted to the lowland area where it is associated with three mosquito vectors: Anopheles koliensis, Anopheles farauti and Anopheles punctulatus [11, 12]. Entomological inoculation rates vary between 1 and 4 infected bites per year (unpublished data). Bed net coverage is estimated to be approximately 40%. In view of the high number of infections in non-immune patients, local protocols recommend that all patients with patent parasitaemia at any level are given antimalarial therapy. At the time of the study local treatment guidelines advocated chloroquine plus sulphadoxine-pyrimethamine for P. falciparum and chloroquine monotherapy for non-falciparum malaria. An assessment of local treatment regimens in 2004 highlighted that the day-28 cure rate of chloroquine monotherapy was less than 35% for patients with P. vivax and that of chloroquine plus sulphadoxine-pyrimethamine was only 52% for patients with P. falciparum . Local and national guidelines also recommend that patients with P. vivax parasitaemia over 1 years old, receive 14 days unsupervised treatment with primaquine, however adherence to and effectiveness of this regimen in this setting is not known.
Data was collected from routine health facilities surveillance data and from a cross-sectional survey.
Routine surveillance data
Data from health facilities were collated to determine the number of patients treated for laboratory-confirmed malaria between January 2004 and December 2005. The established routine malariometric surveillance network comprised 14 primary health clinics and the RSMM hospital. Four primary health clinics were funded by the local ministry of health and ten were funded by the public health malaria control (PHMC) programme of the local mine. The total number of malaria cases reported were equally divided between the hospital, the PHMC clinics and the local ministry of health clinics.
At all of these facilities malaria treatment guidelines require that treatment should be preceded by microscopic confirmation of thick or thin blood film. Parasite species was assessed by surveillance facility microscopists from Giemsa-stained thick blood films and peripheral parasitaemia determined from the number of parasites per 200 white blood cells and quantified as 1+, 2+, 3+ or 4+. A thick smear was considered negative on initial review if no parasites were seen in 100 high power fields. A thin smear was also examined to confirm parasite species and used for quantification if parasitaemia was greater than 200 per 200 WBC. All laboratories in the surveillance network provide weekly aggregated data on the number of slides read, and the species reported according to four age categories (less than 1 year, 1 to 4 years, 5 to 9 years and 10 or more years). The surveillance microscopists participate in ongoing quality assurance, training and monitoring. In 2004 the microscopy service at the hospital was assessed for accuracy, and a random sample of 1200 positive slides was selected for rereading by an independent microscopist with more than 10 years' experience. In total, slides were available in 97% (1,158/1,200) cases with concordance between the readings of 89% (1,032/1,158). Of the 126 discordant slides 18 (14%) were negative on second rereading, 46 (37%) monoinfections were reread as mixed species, 47 (37%) mixed infections were reread as monoinfections. A further 6 slides with P. falciparum infections were reread as P. vivax, and 9 slides with P. vivax infections were reread as P. falciparum.
In the hospital, data were collected from individual patient records. For those attending the hospital outpatient clinic, information of the hospital number, date of visit, age and sex of the patients and diagnosis, including the species of infection if malaria, were registered on computerized hospital records (Q-Pro_; Jakarta, Indonesia). All patients admitted to hospital for more than 12 hours were reviewed by a member of the onsite research team, and details of their visit documented on a standard report form which included, for this study, the hospital record number, data of admission, age and sex of the patient .
Cross-sectional household survey
A cross-sectional survey, was conducted during July to December 2005, to determine the demographic breakdown of the local population, the population prevalence of malaria and anaemia, and document the treatment-seeking behaviour and costs incurred by febrile illness. The survey methodology and results will be described in more detail separately. For the treatment seeking survey, the sample size required to determine the true prevalence of households with someone with a recent history of fever was based on an estimated prevalence of 40% and population size of 140,000; a multiplication factor of 2 was used to take into account the design effect due to cluster sampling. A sample size of 800 households was required to achieve an estimate of prevalence with greater than 95% confidence .
Households were chosen by three-stage cluster random sampling, according to WHO guidelines . Household members were defined as anyone who lived under one roof, ate from one kitchen and had resided in the study area for at least six months. For each member, demographic information and fever history were recorded using a standardized questionnaire. When the member was present, weight and height were documented and a finger prick of blood taken for blood film examination. Axillary temperature was recorded and respondents defined as symptomatic if they reported history of fever in the last 24 hours or had an axillary temperature of 37.5°C or above. All household members who reported fever in the last months were asked to complete a questionnaire on treatment seeking behaviour.
Blood film examination
Blood film examination was carried out for all the facility surveys. The peripheral parasitaemia was calculated assuming a white cell count of 7,300 μl-1 1 . All positive blood films and 10% negative blood films were rechecked in the National Institute of Health Research and Development reference laboratory in Jakarta, and results that differed from those obtained in the unit laboratory were reviewed by the two head laboratory technologists. Microscopically confirmed malaria cases were treated according to Indonesia Ministry of Health guidelines. Children and adults found to be anaemic either on clinical examination or after determination of haemoglobin levels were provided iron supplementation according to local guidelines. Other common ailments detected clinically were also treated.
Data on patients diagnosed with malaria were single entered into Epi Info 6 (U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, USA) and data from the household surveys double entered and validated using EpiData 3.02 software (EpiData Asoociation, Odense, Denmark). Analysis was performed using SPSS for Windows (vs 15 SPSS Inc, Chicago, Illinois, USA) and STATA statistical software (Version 8, Stata Corp. TX). The Mann-Whitney U test or Kruskal-Wallis method were used for nonparametric comparisons, and Student's t-test or one-way analysis of variance for parametric comparisons. For categorical variables, percentages and corresponding 95% confidence intervals (95% CI) were calculated using Wilson's method. Proportions were examined using χ2 with Yates' correction or by Fisher's exact test. Pyrogenic thresholds were defined using the receiver operator curve, and Youlden's Index calculated as sensitivity plus specificity minus 1.
In order to estimate the annual population incidence of malaria, data from the fever treatment seeking behaviour study were used to estimate the proportion of patients with malaria attending clinics participating in the surveillance network. In case the treatment seeking behaviour of patients with non-malarial fever differed significantly from those with malaria, we used an algorithm to assign each respondent a malaria diagnosis. This was done according to whether malaria was confirmed by a blood test, the treatment people received, and the status of the blood film at the time of the household survey. A sensitivity analysis was performed by assuming best-case and worse case scenarios where there was uncertainty in the algorithm.
The study was approved by the Ethics committee of the National Institute of Health Research and Development, Indonesian Ministry of Health (Jakarta, Indonesia) and the Ethics committee of Menzies School of Health Research (Darwin, Australia). Written informed consent was obtained from adult patients and parents of enrolled children.
Health facilities data
Children under five years of age, accounted for 22% (14,855/68,802) of community outpatients with malaria, 29% (7,029/24,334) of hospital outpatients and 34% (2,050/6,022) of patients admitted to hospital (overall p < 0.001).
Number of laboratory-confirmed malaria cases in 2 years of community and hospital surveillance (January 2004–December 2005)
Total number of patients
with confirmed malaria
Fever and parasite density
In total 68% (434/634) of respondents with asexual parasitaemia were asymptomatic (afebrile with no history of fever in preceding 24 hours). Although this proportion did not differ for P. falciparum, P. vivax, or mixed infections, asymptomatic carriage was significantly more likely in people with pure P malariae infections (91.7% (22/24); Odds Ratio = 5.3 [95%CI 1.2–33]), p = 0.023. Patients with P. vivax parasitaemia were significantly less likely to be afebrile if they were less than 1 year of age (33% 4/12) compared to 75% (85/113) of older children and 70% (86/123) of adults (p = 0.004 and 0.02 respectively), although this age difference was not significant for the other species (Figure 4a). The risk of fever did not vary with sex or ethnicity.
Prevalence of asexual parasitaemia in the community household survey.
Prevalence % (n/N)
Proportion with Fever % (n)
Geometric Mean Parasite
count per μl-1 [95% CI]
P < 0.001
P < 0.001
P = 0.295
P = 0.09
In 2005, a review of 13,766 laboratory records revealed that 96.6% of patients with malaria had one blood film for each episode of malaria, 3.25% had two blood films and 0.13% had three films. The total number of cases treated as community outpatients were therefore multiplied by 0.967 to account for multiple sampling. Hence the total number of patients with confirmed malaria reported by the surveillance network during the two-year period was 95,886.
In the household survey, a history of fever within the last month was reported in 35% (1813/5255) of household members, of whom treatment seeking behaviour could be assessed in 1015 (56%). Of these respondents, 60% (607) were estimated to have had malaria (based upon their treatment and subsequent microscopy at the time of the survey) of whom 39% (238/607) would have been diagnosed and thereby picked up by the surveillance network. The sensitivity analysis defined the lower and upper estimates as 37.7% (261/693) and 48% (206/426) respectively. After correcting for multiple sampling at the community clinics, the surveillance network identified a total 47,943 reports of malaria per annum for a population of 140,4000 people, representing 39% of the total burden of malaria. The overall incidence of malaria, therefore, was estimated as 876 per 1,000 per year (Range: 711–906). The corresponding breakdown was 512 (Range: 416–529) for P. falciparum, 322 (Range: 262–333) for P. vivax, 15.7 (Range: 12.7–16.2) for P. malariae, and 26.3 (Range: 21.3–27.2) for mixed infections.
The burden of P. vivax malaria from Asia has been under appreciated, despite the region contributing almost 40% of the world's malaria . Plasmodium falciparum and P. vivax are equally prevalent over much of the continent, however P. vivax is usually assumed to be benign and its associated morbidity often overlooked [6, 8]. The situation has been further complicated by the emergence of multidrug resistant Plasmodium. Over the last 50 years, Asia has been the epicentre for the evolution and spread of drug resistant isolates of P. falciparum. The latter have subsequently spread to almost all regions of the malarious world, undermining control programmes and significantly exacerbating the burden of malaria . Antimalarial drug resistance in P. vivax has taken longer to emerge, the first reports of chloroquine resistance coming from the island of New Guinea in 1989 . However, over the ensuing two decades highly chloroquine-resistant P. vivax has become increasingly prevalent in Papua province, with reports of declining efficacy also documented across the Indonesian archipelago as well as in Myanmar, India and South America [6, 16–18]. Despite this threat, few studies have addressed the associated epidemiology of malaria in areas where resistance has emerged to both P. vivax and P. falciparum.
The study presented reviews the epidemiology of malaria in patients attending community clinics and the only referral hospital in southern Papua. In this region cure rates following chloroquine plus sulphadoxine-pyrimethamine have fallen below 50% for both P. falciparum and P. vivax, with high grade resistance a significant problem . The results demonstrate that malaria accounts for a considerable proportion of the total clinic workload amounting to 15–27% of patients attending outpatient clinics with fever and 34% of all hospital admissions. P. vivax was responsible for 42% of malaria treated in the outpatients and 19% of patients admitted to hospital with malaria. In the household surveys, the overall prevalence of malaria was 16%, lower than that reported in West Sumba, Indonesia (31%)  and PNG (51%) , although the proportion of carriage attributable to P. vivax was higher: 39% in Timika compared to 32% in West Sumba and 19% in PNG.
There were significant differences in the age-stratified rates of infection (Figure 2). The workload due to malaria peaked in the 5–14 age group, reaching 24% in hospital outpatients and 42% in inpatients, however this was mainly attributable to an increasing prevalence of clinical infections with P. falciparum. In contrast, the burden and proportion of P. vivax peaked in early childhood with more than half of malaria in infants attributable to P. vivax irrespective of healthcare facility. These findings concur with studies from PNG, Vanuatu and Thailand [20–22]. A notable feature of P. vivax infection is the presence of the hypnozoite stage which in equatorial regions can result in frequent relapse and recurrent symptomatic infection. The predominance of P. vivax in infancy presumably reflects early exposure to infection, high rates of subsequent recurrence and the rapid acquisition of immunity. The additional impact of chloroquine resistance is difficult to gauge, but likely to further exacerbate the recurrence of malaria following partially effective treatment. In contrast to the PNG study, in which children had acquired almost complete immunity by the age of 9 years old , both the present study and a study from Thailand observed a significant number of older children and adults presenting with symptomatic P. vivax infections . In Papua, economic immigration has resulted in a high proportion of the population being non-immune, either Papuans from malaria-free highland areas or non-Papuans from provinces with low endemicity. With little or no prior exposure to malaria these migrants are vulnerable to symptomatic infection into adult life. Indeed the proportion of malaria carriage attributable to non-Papuans rose with increasing age (Figure 4b), reflecting not only their vulnerability to symptomatic infection, but also their higher exposure to infection.
In the prevalence survey, approximately a third of patients with peripheral parasitaemia reported an associated fever. Although there was no difference in this proportion between P. falciparum and P. vivax infections, the pyrogenic thresholds differed considerably: 310 μl-1 for P. vivax and 1,734 μl-1 for P. falciparum. The ability of P. vivax to induce fever at lower levels of parasitemia than P. falciparum is well described [22, 23] and is consistent with a greater host inflammatory response during infections with P. vivax, as evidenced by higher plasma concentration of fever-inducing cytokines, such as TNF, in vivax malaria compared to P. falciparum infections with similar parasitaemia [24, 25]. Whereas the proportion of symptomatic P. falciparum carriage did not change with age, there was a significant reduction in symptomatic carriage with P. vivax, falling from 67% in infants to 28% in adults (Figure 4a). All patients with peripheral parasitaemia were treated and, therefore, the proportion of asymptomatic patients who would have become febrile if left untreated can not be gauged.
Since the surveillance system did not include a prospective cohort an estimate of the incidence of clinical infection was derived from the clinic workload and a treatment seeking behaviour survey. The latter will be reported more fully in a separate paper, however the results highlight that only 39% with symptomatic malaria would have sought treatment at a facility in the surveillance network, the majority either staying at home or seeking treatment through the private sector or pharmacies. Extrapolating the total number of reported malaria cases we estimated an incidence of malaria of 512 and 322 per 1,000 population per year for P. falciparum and P. vivax, respectively.
In conclusion, in Papua Indonesia both P. falciparum and P. vivax are associated with significant morbidity. P. vivax infection predominated in infancy with symptomatic infections reducing with age, however even in adults this species is responsible for a third of malaria treatments. The presence of high grade chloroquine resistance in both major Plasmodium species in this region, is likely to exacerbate the burden of disease due to the impact of partial eradication and the inability to suppress or delay the relapses from the liver stage of P. vivax.
We are grateful to Lembaga Pengembangan Masyarakat Amungme Kamoro for ongoing support. We thank Mauritz Okeseray, Ferryanto Chalfein, Budi Prasetyorini and Michael Bangs for their support and technical assistance. We are also grateful to Morrison Bethea, PT Freeport Indonesia and International SOS for their ongoing support. The study was funded by the Wellcome Trust-NHRMC (Wellcome Trust ICRG GR071614MA- NHMRC ICRG ID 283321). NA is supported by an NHMRC Practitioner Fellowship. RP is funded by a Wellcome Trust Career Development Award, affiliated to the Wellcome Trust – Mahidol University – Oxford Tropical Medicine Research Programme (074637).
- Snow RW, Guerra CA, Noor AM, Myint HY, Hay SI: The global distribution of clinical episodes of Plasmodium falciparum malaria. Nature. 2005, 434: 214-217. 10.1038/nature03342.PubMed CentralView ArticlePubMedGoogle Scholar
- NIHRD: National Health Survey. 2001, Jakarta: National Institute of Health research and DevelopmentGoogle Scholar
- Laihad F: The policy and situation of malaria treatment in Indonesia. 7th Jakarta Antimicrobial Update 2006; Facing the challenge of antimicrobial resistance. 2006, Jakarta: Centre for Disease ControlGoogle Scholar
- Rieckmann KH, Davis DR, Hutton DC: Plasmodium vivax resistance to chloroquine?. Lancet. 1989, 2: 1183-1184. 10.1016/S0140-6736(89)91792-3.View ArticlePubMedGoogle Scholar
- Baird JK, Basri H, Purnomo , Bangs MJ, Subianto B, Patchen LC, Hoffman SL: Resistance to chloroquine by Plasmodium vivax in Irian Jaya, Indonesia. Am J Trop Med Hyg. 1991, 44: 547-552.PubMedGoogle Scholar
- Price RN, Tjitra E, Guerra CA, Yeung S, White NJ, Anstey NM: Vivax malaria: neglected and not benign. Am J Trop Med Hyg. 2007, 77: 79-87.PubMed CentralPubMedGoogle Scholar
- Ratcliff A, Siswantoro H, Kenangalem E, Wuwung M, Brockman A, Edstein MD, Laihad F, Ebsworth EP, Anstey NM, Tjitra E, Price RN: Therapeutic response of multidrug-resistant Plasmodium falciparum and P. vivax to chloroquine and sulfadoxine-pyrimethamine in southern Papua, Indonesia. Trans R Soc Trop Med Hyg. 2007, 101: 351-359. 10.1016/j.trstmh.2006.06.008.PubMed CentralView ArticlePubMedGoogle Scholar
- Baird JK: Neglect of Plasmodium vivax malaria. Trends Parasitol. 2007, 23: 533-539.View ArticlePubMedGoogle Scholar
- Tjitra E, Anstey NM, Sugiarto P, Warikar N, Kenangalem E, Karyana M, Lampah DA, Price RN: Multidrug-resistant Plasmodium vivax associated with severe and fatal malaria: A prospective study in Papua, Indonesia. PLoS Med. 2008, 5: e128-10.1371/journal.pmed.0050128.PubMed CentralView ArticlePubMedGoogle Scholar
- Barcus MJ, Basri H, Picarima H, Manyakori C, Sekartuti , Elyazar I, Bangs MJ, Maguire JD, Baird JK: Demographic risk factors for severe and fatal vivax and falciparum malaria among hospital admissions in northeastern indonesian papua. Am J Trop Med Hyg. 2007, 77: 984-991.PubMedGoogle Scholar
- Lee VH, Atmosoedjono S, Aep S, Swaine CD: Vector studies and epidemiology of malaria in Irian Jaya, Indonesia. Southeast Asian J Trop Med Public Health. 1980, 11: 341-347.PubMedGoogle Scholar
- Pribadi W, Sutanto I, Atmosoedjono S, Rasidi R, Surya LK, Susanto L: Malaria situation in several villages around Timika, south central Irian Jaya, Indonesia. Southeast Asian J Trop Med Public Health. 1998, 29: 228-235.PubMedGoogle Scholar
- Bennett S, Woods T, Liyanage WM, Smith DL: A simplified general method for cluster-sample surveys of health in developing countries. World Health Stat Q. 1991, 44: 98-106.PubMedGoogle Scholar
- Macro O: Guidelines for Sampling for the Malaria Indicator Survey. 2005, Calverton, MarylandGoogle Scholar
- White NJ, Nosten F, Looareesuwan S, Watkins WM, Marsh K, Snow RW, Kokwaro G, Ouma J, Hien TT, Molyneux ME, Taylor TE, Newbold CI, Ruebush TK, Danis M, Greenwood BM, Anderson RM, Olliaro P: Averting a malaria disaster. Lancet. 1999, 353: 1965-1967. 10.1016/S0140-6736(98)07367-X.View ArticlePubMedGoogle Scholar
- Marlar T, Myat Phone K, Aye Yu S, Khaing Khaing G, Ma S, Myint O: Development of resistance to chloroquine by Plasmodium vivax in Myanmar. Trans R Soc Trop Med Hyg. 1995, 89: 307-308. 10.1016/0035-9203(95)90556-1.View ArticleGoogle Scholar
- Soto J, Toledo J, Gutierrez P, Luzz M, Llinas N, Cedeno N, Dunne M, Berman J: Plasmodium vivax clinically resistant to chloroquine in Colombia. Am J Trop Med Hyg. 2001, 65: 90-93.PubMedGoogle Scholar
- Baird JK: Chloroquine resistance in Plasmodium vivax. Antimicrob Agents Chemother. 2004, 48: 4075-4083. 10.1128/AAC.48.11.4075-4083.2004.PubMed CentralView ArticlePubMedGoogle Scholar
- Syafruddin D, Asih PB, Coutrier FN, Trianty L, Noviyanti R, Luase Y, Sumarto W, Caley M, Ven van der AJ, Sauerwein RW: Malaria in Wanokaka and Loli sub-districts, West Sumba district, East Nusa Tenggara Province, Indonesia. Am J Trop Med Hyg. 2006, 74: 733-737.PubMedGoogle Scholar
- Michon P, Cole-Tobian JL, Dabod E, Schoepflin S, Igu J, Susapu M, Tarongka N, Zimmerman PA, Reeder JC, Beeson JG, Schofield L, King CL, Mueller I: The risk of malarial infections and disease in Papua New Guinean children. Am J Trop Med Hyg. 2007, 76: 997-1008.PubMed CentralPubMedGoogle Scholar
- Maitland K, Williams TN, Bennett S, Newbold CI, Peto TE, Viji J, Timothy R, Clegg JB, Weatherall DJ, Bowden DK: The interaction between Plasmodium falciparum and P. vivax in children on Espiritu Santo island, Vanuatu. Trans R Soc Trop Med Hyg. 1996, 90: 614-620. 10.1016/S0035-9203(96)90406-X.View ArticlePubMedGoogle Scholar
- Luxemburger C, Thwai KL, White NJ, Webster HK, Kyle DE, Maelankirri L, Chongsuphajaisiddhi T, Nosten F: The epidemiology of malaria in a Karen population on the western border of Thailand. Trans R Soc Trop Med Hyg. 1996, 90: 105-111. 10.1016/S0035-9203(96)90102-9.View ArticlePubMedGoogle Scholar
- Collins WE, Jeffery GM, Roberts JM: A retrospective examination of the effect of fever and microgametocyte count on mosquito infection on humans infected with Plasmodium vivax. Am J Trop Med Hyg. 2004, 70: 638-641.PubMedGoogle Scholar
- Hemmer CJ, Holst FG, Kern P, Chiwakata CB, Dietrich M, Reisinger EC: Stronger host response per parasitized erythrocyte in Plasmodium vivax or ovale than in Plasmodium falciparum malaria. Trop Med Int Health. 2006, 11: 817-823. 10.1111/j.1365-3156.2006.01635.x.View ArticlePubMedGoogle Scholar
- Karunaweera ND, Grau GE, Gamage P, Carter R, Mendis KN: Dynamics of fever and serum levels of tumor necrosis factor are closely associated during clinical paroxysms in Plasmodium vivax malaria. Proc Natl Acad Sci USA. 1992, 89: 3200-3203. 10.1073/pnas.89.8.3200.PubMed CentralView ArticlePubMedGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.