2019/05/07 by Booma Sowkarthiga Balasubramani, Balasubramani, Booma Sowkarthiga, Marco Nanni +5
Economics, Econometrics and Finance · Mathematics · Medicine · #Applications (stat.AP) #COVID-19 epidemiological studies #FOS: Biological sciences #FOS: Computer and information sciences #HIV/AIDS Impact and Responses #Malaria Research and Control #Quantitative Methods (q-bio.QM)
paper · pdf · doi:10.48550/arxiv.1905.03594
openalex publication_date 2019/05/07 · openalex created_date 2022/09/12 · openalex updated_date 2026/07/28
With over 50% of the country's population at risk of contracting malaria\ndespite the introduction of several measures to combat the disease, Zimbabwe is\none of the eight countries in the Malaria Elimination 8 platform of the\nSouthern African Development Community. Various indicators, including\ntemperature, population distribution, land cover, and access to hospitals\naffect the incidence and spread of this disease. In this paper, we consider\ndifferent such indicators and present our analysis of their interaction (e.g.,\nhow the Plasmodium falciparum Parasite Rate (PfPR) affects the sickle cell\ntrait) and their effect on malaria incidence in Zimbabwe. We also discuss the\nresults of our preliminary experiments on predictive analytics of malaria\nincidence based on the indicators we have considered.\n