Effects of rainfall, temperature and topography on malaria incidence in elimination targeted district of Ethiopia

被引:33
作者
Dabaro, Desalegn [1 ,2 ,4 ]
Birhanu, Zewdie [3 ]
Negash, Abiyot [5 ]
Hawaria, Dawit [1 ,2 ,4 ]
Yewhalaw, Delenasaw [2 ,4 ]
机构
[1] Yirgalem Hosp, Coll Med, Yirgalem, Ethiopia
[2] Jimma Univ, Dept Med Lab Sci & Pathol, Coll Hlth Sci, Jimma, Ethiopia
[3] Jimma Univ, Dept Hlth Behav & Soc, Fac Publ Hlth, Jimma, Ethiopia
[4] Jimma Univ, Trop & Infect Dis Res Ctr, Jimma, Ethiopia
[5] Jimma Univ, Coll Nat Sci, Dept Stat, Jimma, Ethiopia
关键词
Malaria; Temperature; Rainfall; Altitude; Boricha; Ethiopia; CLIMATE VARIABILITY; TRANSMISSION; MORBIDITY; ALTITUDE; WEATHER;
D O I
10.1186/s12936-021-03641-1
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
BackgroundClimate and environmental factors could be one of the primary factors that drive malaria transmission and it remains to challenge the malaria elimination efforts. Hence, this study was aimed to evaluate the effects of meteorological factors and topography on the incidence of malaria in the Boricha district in Sidama regional state of Ethiopia.MethodsMalaria morbidity data recorded from 2010 to 2017 were obtained from all public health facilities of Boricha District in the Sidama regional state of Ethiopia. The monthly malaria cases, rainfall, and temperature (minimum, maximum, and average) were used to fit the ARIMA model to compute the malaria transmission dynamics and also to forecast future incidence. The effects of the meteorological variables and altitude were assessed with a negative binomial regression model using R version 4.0.0. Cross-correlation analysis was employed to compute the delayed effects of meteorological variables on malaria incidence.ResultsTemperature, rainfall, and elevation were the major determinants of malaria incidence in the study area. A regression model of previous monthly rainfall at lag 0 and Lag 2, monthly mean maximum temperature at lag 2 and Lag 3, and monthly mean minimum temperature at lag 3 were found as the best prediction model for monthly malaria incidence. Malaria cases at 1801-1900 m above sea level were 1.48 times more likely to occur than elevation >= 2000 m.ConclusionsMeteorological factors and altitude were the major drivers of malaria incidence in the study area. Thus, evidence-based interventions tailored to each determinant are required to achieve the malaria elimination target of the country.
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页数:10
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