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- W2910564178 abstract "Introduction Malaria is among the leading causes of mortality in the younger age group of zero to four years. This study aims at finding the relationship of weather variables rainfall and temperature on under five malaria mortality in KEMRI/CDC HDSS. Methods A general additive model with a poison link function was fit to model the effect of lagged weekly cumulative rainfall and average temperature on malaria mortality in KEMRI/CDC HDSS for the period 2003 to 2008. A trend function was included in the model to control for un-measured confounding and seasonality. Results The risk of malaria mortality at lag strata 1-4 weeks was low at a lower mean temperature and marginally increased peaking at 28°C. At higher temperatures the risk of malaria mortality declined. At higher lags of weeks 9-12, the temperature mortality relationship was linear after 28°C with malaria mortality risk steadily increasing as mean temperature increased. The risk of malaria mortality linearly increased after 100m of rainfall in the lag strata 5-8 weeks. At lag 9-12 weeks, the risk for malaria mortality increased between 75-200mm of rainfall while remaining stable after 200mm. Conclusion Malaria mortality was found to be strongly related to temperature and rainfall in the KEMRI HDSS, Kenya with a delay up to 12 weeks. This information may contribute to developing a predictive forecast with lead times up to 12 weeks." @default.
- W2910564178 created "2019-01-25" @default.
- W2910564178 creator A5062374590 @default.
- W2910564178 date "2014-10-20" @default.
- W2910564178 modified "2023-09-23" @default.
- W2910564178 title "The Effect of Weather on Under Five Malaria Mortality in KEMRI/CDC HDSS in Western Kenya 2003 to 2008: a Time Series Analysis" @default.
- W2910564178 doi "https://doi.org/10.1289/isee.2014.p2-348" @default.
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