Inference and dynamic simulation of malaria using a simple climate-driven entomological model of malaria transmission.

ABSTRACT: Given the crucial role of climate in malaria transmission, many mechanistic models of malaria represent vector biology and the parasite lifecycle as functions of climate variables in order to accurately capture malaria transmission dynamics. Lower dimension mechanistic models that utilize implicit vector dynamics have relied on indirect climate modulation of transmission processes, which compromises investigation of the ecological role played by climate in malaria transmission. In this study, we develop an implicit process-based malaria model with direct climate-mediated modulation of transmission pressure borne through the Entomological Inoculation Rate (EIR). The EIR, a measure of the number of infectious bites per person per unit time, includes the effects of vector dynamics, resulting

SUBMITTER: Ukawuba I 

PROVIDER: S-EPMC9182318 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature