Effect of meteorological factors on clinical malaria risk among children: an assessment using village-based meteorological stations and community-based parasitological surveyReportar como inadecuado




Effect of meteorological factors on clinical malaria risk among children: an assessment using village-based meteorological stations and community-based parasitological survey - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

BMC Public Health

, 7:101

First Online: 08 June 2007Received: 04 December 2006Accepted: 08 June 2007DOI: 10.1186-1471-2458-7-101

Cite this article as: Yé, Y., Louis, V.R., Simboro, S. et al. BMC Public Health 2007 7: 101. doi:10.1186-1471-2458-7-101

Abstract

BackgroundTemperature, rainfall and humidity have been widely associated with the dynamics of malaria vector population and, therefore, with spread of the disease. However, at the local scale, there is a lack of a systematic quantification of the effect of these factors on malaria transmission. Further, most attempts to quantify this effect are based on proxy meteorological data acquired from satellites or interpolated from a different scale. This has led to controversies about the contribution of climate change to malaria transmission risk among others. Our study addresses the original question of relating meteorological factors measured at the local scale with malaria infection, using data collected at the same time and scale.

Methods676 children 6–59 months were selected randomly from three ecologically different sites urban and rural. During weekly home visits between December 1, 2003, and November 30, 2004, fieldworkers tested children with fever for clinical malaria. They also collected data on possible confounders monthly. Digital meteorological stations measured ambient temperature, humidity, and rainfall in each site. Logistic regression was used to estimate the risk of clinical malaria given the previous month-s meteorological conditions.

ResultsThe overall incidence of clinical malaria over the study period was 1.07 episodes per child. Meteorological factors were associated with clinical malaria with mean temperature having the largest effect.

ConclusionTemperature was the best predictor for clinical malaria among children under five. A systematic measurement of local temperature through ground stations and integration of such data in the routine health information system could support assessment of malaria transmission risk at the district level for well-targeted control efforts.

Electronic supplementary materialThe online version of this article doi:10.1186-1471-2458-7-101 contains supplementary material, which is available to authorized users.

Download fulltext PDF



Autor: Yazoumé Yé - Valérie R Louis - Séraphin Simboro - Rainer Sauerborn

Fuente: https://link.springer.com/







Documentos relacionados