Agent-dased modeling and simulation of the transmission dynamics of malaria

Authors

Marinelle Sim Physics Division, Institute of Mathematical Sciences and Physics, University of the Philippines Los Baños
Vachel Gay Paller Institute of Biological Sciences, University of the Philippines Los Baños
Hannah Rissah Forio Physics Division, Institute of Mathematical Sciences and Physics, University of the Philippines Los Baños

Abstract

The transmission dynamics of malaria was studied and implemented using Agent-Based Modeling Simulation (ABMS) based on the SEIR-SEI model (also known as SEIRS model). The parameters used in the study were based on Chitnis (2005). However due to limitations of the program two of the parameters were not considered, namely: biting rate and death due to the disease. The data generated from the program were compared to results of previous works. Results from ABMS showed similar behavior similar to that obtained in the approach using ordinary differential equations. It was observed that prevalence of malaria decreased the number of susceptible individuals. Eventually the number of infectious individuals decreased. These individuals recovered and acquired immunity. As a consequence, the disease did not stay in the population for a long time.

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Issue

2011: Proceedings of the 29th Samahang Pisika ng Pilipinas National Physics Congress

Article ID

SPP2011-PA-12

Section

Poster Session PA

Published

2011-10-24

How to Cite

[1]

M Sim, VG Paller, and HR Forio, Agent-dased modeling and simulation of the transmission dynamics of malaria, Proceedings of the Samahang Pisika ng Pilipinas 29, SPP2011-PA-12 (2011). URL: https://proceedings.spp-online.org/article/view/SPP2011-PA-12.