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An agent-based model of a cutaneous leishmaniasis reservoir host, Meriones shawi

Author

Listed:
  • Zaatour, Wajdi
  • Marilleau, Nicolas
  • Giraudoux, Patrick
  • Martiny, Nadège
  • Amara, Abdesslem Ben Haj
  • Miled, Slimane Ben

Abstract

Meriones shawi (M.shawi) is the main reservoir host for zoonotic cutaneous leishmaniasis (ZCL) in Central Tunisia. The incorporation of environmental and climatic effects on the spread of ZCL in M. shawi remains difficult. This study presents an agent-based model (ABM) to overcome these difficulties and examine the impact of environment (i.e. vegetation cover) and climate (i.e. temperature) on M. shawi movement and prevalence. The model simulation considers two agent types: rodent agent and field unit agent. We tested the model according to two types of rodent movement: random and thoughtful. We integrated time dependent normalized difference vegetation index (NDVI) in order to test the land cover effects on rodent movement and ZCL transmission. The results confirmed that the spread of the disease depends on rodent movement. We observed that prevalence and distribution are the closest to field data when the vegetation cover is highest and that rodents go for thoughtful movement. In addition, we found that the nature of movement (random or thoughtful) and prevalence depends strongly on minimum food detection.

Suggested Citation

  • Zaatour, Wajdi & Marilleau, Nicolas & Giraudoux, Patrick & Martiny, Nadège & Amara, Abdesslem Ben Haj & Miled, Slimane Ben, 2021. "An agent-based model of a cutaneous leishmaniasis reservoir host, Meriones shawi," Ecological Modelling, Elsevier, vol. 443(C).
    • Handle: RePEc:eee:ecomod:v:443:y:2021:i:c:s0304380021000259
    DOI: 10.1016/j.ecolmodel.2021.109455
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    References listed on IDEAS

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    1. Rajabi, Mohammadreza & Mansourian, Ali & Pilesjö, Petter & Shirzadi, Mohammad Reza & Fadaei, Reza & Ramazanpour, Javad, 2018. "A spatially explicit agent-based simulation model of a reservoir host of cutaneous leishmaniasis, Rhombomys opimus," Ecological Modelling, Elsevier, vol. 370(C), pages 33-49.
    2. Marilleau, Nicolas & Lang, Christophe & Giraudoux, Patrick, 2018. "Coupling agent-based with equation-based models to study spatially explicit megapopulation dynamics," Ecological Modelling, Elsevier, vol. 384(C), pages 34-42.
    3. Cariboni, J. & Gatelli, D. & Liska, R. & Saltelli, A., 2007. "The role of sensitivity analysis in ecological modelling," Ecological Modelling, Elsevier, vol. 203(1), pages 167-182.
    4. Khouloud Talmoudi & Hedia Bellali & Nissaf Ben-Alaya & Marc Saez & Dhafer Malouche & Mohamed Kouni Chahed, 2017. "Modeling zoonotic cutaneous leishmaniasis incidence in central Tunisia from 2009-2015: Forecasting models using climate variables as predictors," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 11(8), pages 1-18, August.
    5. 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.
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