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bayesian methods

Modelling Malaria Incidence in the Limpopo Province, South Africa: Comparison of Classical and Bayesian Methods of Estimation

July 20, 2020 - 14:59 -- Open Access
Author(s): 
Sehlabana MA, Maposa D, Boateng A
Reference: 
Int J Environ Res Public Health. 2020 Jul 13; 17(14):E5016

Malaria infects and kills millions of people in Africa, predominantly in hot regions where temperatures during the day and night are typically high. In South Africa, Limpopo Province is the hottest province in the country and therefore prone to malaria incidence. The districts of Vhembe, Mopani and Sekhukhune are the hottest districts in the province. Malaria cases in these districts are common and malaria is among the leading causes of illness and deaths in these districts.

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