Assessing the relationship between malaria incidence levels and meteorological factors using cluster-integrated regression
Miracle Amadi,
K. K. W. Hasitha Erandi
Abstract:This paper introduces a novel approach to modeling malaria incidence in Nigeria by integrating clustering strategies with regression modeling and leveraging meteorological data. By decomposing the datasets into multiple subsets using clustering techniques, we increase the number of explanatory variables and elucidate the role of weather in predicting different ranges of incidence data. Our clustering-integrated regression models, accompanied by optimal barriers, provide insights into the complex relationship b… Show more
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