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The impact of aquatic habitats on the malaria parasite transmission: A view from an agent-based model

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  • Khelifa, Amira
  • El Saadi, Nadjia

Abstract

In this paper, we develop an agent-based model (ABM) to study malaria disease transmission. This ABM is a host-vector model where hosts are humans and vectors are the female Anopheles mosquitos, moreover the ABM is spatially explicit integrating aquatic habitats in which mature vectors breed and the immature vectors develop. The dispersals of vectors, hosts and aquatic habitats and the interactions between them are explicit and depend on their geographical locations, the demographic processes for both hosts and vectors and hosts immunity are taken into account.

Suggested Citation

  • Khelifa, Amira & El Saadi, Nadjia, 2024. "The impact of aquatic habitats on the malaria parasite transmission: A view from an agent-based model," Ecological Modelling, Elsevier, vol. 487(C).
    • Handle: RePEc:eee:ecomod:v:487:y:2024:i:c:s0304380023002776
    DOI: 10.1016/j.ecolmodel.2023.110547
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    References listed on IDEAS

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    1. Stephan Karl & Michael T White & George J Milne & David Gurarie & Simon I Hay & Alyssa E Barry & Ingrid Felger & Ivo Mueller, 2016. "Spatial Effects on the Multiplicity of Plasmodium falciparum Infections," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-20, October.
    2. Luba Pascoe & Thomas Clemen & Karen Bradshaw & Devotha Nyambo, 2022. "Review of Importance of Weather and Environmental Variables in Agent-Based Arbovirus Models," IJERPH, MDPI, vol. 19(23), pages 1-24, November.
    3. Linard, Catherine & Ponçon, Nicolas & Fontenille, Didier & Lambin, Eric F., 2009. "A multi-agent simulation to assess the risk of malaria re-emergence in southern France," Ecological Modelling, Elsevier, vol. 220(2), pages 160-174.
    4. Grimm, Volker & Berger, Uta & DeAngelis, Donald L. & Polhill, J. Gary & Giske, Jarl & Railsback, Steven F., 2010. "The ODD protocol: A review and first update," Ecological Modelling, Elsevier, vol. 221(23), pages 2760-2768.
    5. Fatima Rateb & Bernard Pavard & Narjes Bellamine-BenSaoud & J.J. Merelo & M.G. Arenas, 2005. "Modeling Malaria with Multi-Agent Systems," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 1(2), pages 17-27, April.
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