Altitude-dependent and -independent variations in Plasmodium falciparum prevalence in northeastern Tanzania

被引:126
作者
Drakeley, CJ
Carneiro, I
Reyburn, H
Malima, R
Lusingu, JPA
Cox, J
Theander, TG
Nkya, WMMM
Lemnge, MM
Riley, EM
机构
[1] Joint Malaria Programme, Moshi, Tanzania
[2] Kilimanjaro Christian Med Ctr, Moshi, Tanzania
[3] Amani Med Res Ctr, Natl Inst Med Res, Amani, Tanzania
[4] Univ Copenhagen, Panum Inst, Ctr Med Parasitol, DK-2200 Copenhagen, Denmark
[5] London Sch Hyg & Trop Med, Dept Infect & Trop Dis, London WC1, England
基金
英国医学研究理事会;
关键词
D O I
10.1086/429669
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Background. Effective malaria control requires information about intensity of transmission across large areas and populations. Estimates based on entomological factors lack precision and are not cost-effective to obtain. We tested altitude and rainfall measurements as correlates of transmission intensity in different ecological settings. Methods. We conducted 2 cross-sectional surveys of similar to 12,000 people ( 1 - 45 years old) in 6 altitude transects ( 150 - 1800 m) in the Kilimanjaro and Tanga regions of Tanzania. Data were analyzed for associations with altitude and rainfall estimates by use of appropriate regression models. Results. Plasmodium falciparum prevalence showed a negative relationship with altitude (19% and 21% decrease/100-m altitude increase, respectively, in children in Kilimanjaro and Tanga) and rainfall during the 3 months before the survey (46% decrease/100-mm rainfall increase in children in Kilimanjaro). Mean hemoglobin concentrations increased with altitude (0.05 and 0.09 g/dL/100-m altitude increase, respectively, in children in Kilimanjaro and Tanga) and rainfall (0.17 g/dL/100-mm rainfall increase in children and adults in Kilimanjaro). Discussion. Altitude and rainfall were correlated with parasite prevalence and mean hemoglobin concentration; however, the relationship varied according to ecological setting. Climatological variables alone cannot predict malarial outcomes. Local variations in seasonality of malaria transmission - together with vector species composition, topography, host and parasite genetics, and socioeconomic factors - may influence malaria prevalence.
引用
收藏
页码:1589 / 1598
页数:10
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