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A spatial agent-based simulation model of the dengue vector Aedes aegypti to explore its population dynamics in urban areas

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  • Maneerat, Somsakun
  • Daudé, Eric

Abstract

MOMA (Model Of Mosquito Aedes) is a spatially explicit agent-based simulation model of Aedes aegypti female mosquito, the dengue vector. The model aims to produce statistical data on mosquito behaviours and population dynamics that are difficult to obtain through field surveys such as population densities in various geographical and climatic conditions. It can also be used to explore effects of vector control strategies on population dynamics. The model simulates adult mosquitoes as ‘agents’ which interact with their local environment. The latter provides resources for their biological development and can also constrain their flight or egg-laying behaviours. Variations in environmental configurations such as land-use and climate make it possible to explore the dependence of mosquito population dynamics on the context.

Suggested Citation

  • Maneerat, Somsakun & Daudé, Eric, 2016. "A spatial agent-based simulation model of the dengue vector Aedes aegypti to explore its population dynamics in urban areas," Ecological Modelling, Elsevier, vol. 333(C), pages 66-78.
    • Handle: RePEc:eee:ecomod:v:333:y:2016:i:c:p:66-78
    DOI: 10.1016/j.ecolmodel.2016.04.012
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    1. Mateus C, Rafael & Zuluaga, Susana Alvarez & Orozco, Mariajose Franco & Marín, Paula Alejandra Escudero, 2021. "Modeling the propagation of the Dengue, Zika and Chikungunya virus in the city of Bello using Agent-Based Modeling and Simulation," OSF Preprints wmxzd, Center for Open Science.
    2. Renaud Marti & Zhichao Li & Thibault Catry & Emmanuel Roux & Morgan Mangeas & Pascal Handschumacher & Jean Gaudart & Annelise Tran & Laurent Demagistri & Jean-François Faure & José Joaquín Carvajal & , 2020. "A Mapping Review on Urban Landscape Factors of Dengue Retrieved from Earth Observation Data, GIS Techniques, and Survey Questionnaires," Post-Print hal-02682042, HAL.
    3. 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.
    4. 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.
    5. Lihu Pan & Fenyu Yang & Feiping Lu & Shipeng Qin & Huimin Yan & Rui Peng, 2020. "Multi-Agent Simulation of Safe Livability and Sustainable Development in Cities," Sustainability, MDPI, vol. 12(5), pages 1-15, March.

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