Agent-based modelling of complex factors impacting malaria prevalence.

ABSTRACT:

Background

Increasingly complex models have been developed to characterize the transmission dynamics of malaria. The multiplicity of malaria transmission factors calls for a realistic modelling approach that incorporates various complex factors such as the effect of control measures, behavioural impacts of the parasites to the vector, or socio-economic variables. Indeed, the crucial impact of household size in eliminating malaria has been emphasized in previous studies. However, increasing complexity also increases the difficulty of calibrating model parameters. Moreover, despite the availability of much field data, a common pitfall in malaria transmission modelling is to obtain data that could be directly used for model calibration.

Methods

In this work, an approach that pr

SUBMITTER: Amadi M 

PROVIDER: S-EPMC8048062 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature