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A System Dynamics Model of Climate and Malaria in CˆOte d’Ivoire

AJAS · 2020 Computational Biology and Bioinformatics (inferred)

Rohit Chaudhuri · North Carolina Academy of Science

Overview

This project evaluates several climate-based vector-borne disease transmission models with particular emphasis on the Parham-Michael climate-driven model for malaria transmission dynamics. In the last few decades, the impact of climate change on human health has drawn considerable attention. The effects of climate on vector-borne diseases like malaria have been of great interest because of their global disease burden. Due to the limited availability of data and other methodological challenges, it has been particularly challenging to model the impact of climate on the transmission of malaria. A deterministic system dynamics model was developed in Stella Architecture software with data from various resources, particularly from Cˆote d’Ivoire and other sub-Saharan African countries. If the field data was not available, the project estimated the value based on different mathematical models. The impact on transmission was developed by manipulating various parameters.

Competition history

  • AJAS 2020 Category not listed

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Source: AAAS Annual Meeting (Confex) / American Junior Academy of Science

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