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

Chris J Drakeley ORCID logo; Ilona Carneiro; Hugh Reyburn; Robert Malima; John PA Lusingu; Jonathan Cox; Thor G Theander; Watoky MMM Nkya; Martha M Lemnge; Eleanor M Riley; (2005) Altitude-dependent and -independent variations in Plasmodium falciparum prevalence in northeastern Tanzania. The Journal of infectious diseases, 191 (10). pp. 1589-1598. ISSN 0022-1899 DOI: 10.1086/429669
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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 approximately 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.

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