![]() ![]() Furthermore, the efficiency of the proposed model was compared with the mathematical models used as a benchmark. ![]() ![]() Our agent-based simulation was validated against the reported cases of malaria collected in these cities. Our approach is illustrated in a case study using climate and demographic data of the cities of Tripura, Limpopo, and Benin. This paper proposes an agent-based modeling approach that permits the capture of heterogeneous mixing and agent interactions, thus enabling a better understanding of malaria dynamics and outbreak patterns. Although mathematical methods have provided good results for homogeneous populations, they impose significant limitations for investigating certain heterogeneities in a population, such as age and vaccine status. Mathematical methods have been widely used to model and understand disease dynamics and outbreak patterns. Numerous studies have been conducted to understand the transmission dynamics of malaria. Africa alone accounts for almost 90% of these cases. Recent statistics show that globally, there are over 200 million malaria cases, and estimated deaths are close to half a million. Despite global efforts to eradicate malaria, it remains a major health threat to nearly half of the world’s population. ![]()
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