IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i23p15578-d982364.html
   My bibliography  Save this article

Review of Importance of Weather and Environmental Variables in Agent-Based Arbovirus Models

Author

Listed:
  • Luba Pascoe

    (Nelson Mandela African Institution of Science and Technology, Arusha P.O Box 447, Tanzania)

  • Thomas Clemen

    (Nelson Mandela African Institution of Science and Technology, Arusha P.O Box 447, Tanzania
    Department of Computer Science, Hamburg University of Applied Sciences, Berliner Tor 7, 20099 Hamburg, Germany)

  • Karen Bradshaw

    (Nelson Mandela African Institution of Science and Technology, Arusha P.O Box 447, Tanzania
    Department of Computer Science, Rhodes University, Grahamstown 6139, South Africa)

  • Devotha Nyambo

    (Nelson Mandela African Institution of Science and Technology, Arusha P.O Box 447, Tanzania)

Abstract

The study sought to review the works of literature on agent-based modeling and the influence of climatic and environmental factors on disease outbreak, transmission, and surveillance. Thus, drawing the influence of environmental variables such as vegetation index, households, mosquito habitats, breeding sites, and climatic variables including precipitation or rainfall, temperature, wind speed, and relative humidity on dengue disease modeling using the agent-based model in an African context and globally was the aim of the study. A search strategy was developed and used to search for relevant articles from four databases, namely, PubMed, Scopus, Research4Life, and Google Scholar. Inclusion criteria were developed, and 20 articles met the criteria and have been included in the review. From the reviewed works of literature, the study observed that climatic and environmental factors may influence the arbovirus disease outbreak, transmission, and surveillance. Thus, there is a call for further research on the area. To benefit from arbovirus modeling, it is crucial to consider the influence of climatic and environmental factors, especially in Africa, where there are limited studies exploring this phenomenon.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:15578-:d:982364
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/23/15578/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/23/15578/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Esteban Dodero-Rojas & Luiza G Ferreira & Vitor B P Leite & José N Onuchic & Vinícius G Contessoto, 2020. "Modeling Chikungunya control strategies and Mayaro potential outbreak in the city of Rio de Janeiro," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-13, January.
    2. David Weetman & Basile Kamgang & Athanase Badolo & Catherine L. Moyes & Freya M. Shearer & Mamadou Coulibaly & João Pinto & Louis Lambrechts & Philip J. McCall, 2018. "Aedes Mosquitoes and Aedes -Borne Arboviruses in Africa: Current and Future Threats," IJERPH, MDPI, vol. 15(2), pages 1-20, January.
    3. Willis Gwenzi & Edmond Sanganyado, 2019. "Recurrent Cholera Outbreaks in Sub-Saharan Africa: Moving beyond Epidemiology to Understand the Environmental Reservoirs and Drivers," Challenges, MDPI, vol. 10(1), pages 1-12, January.
    4. Hossein Sabzian & Mohammad Ali Shafia & Ali Maleki & Seyeed Mostapha Seyeed Hashemi & Ali Baghaei & Hossein Gharib, 2019. "Theories and Practice of Agent based Modeling: Some practical Implications for Economic Planners," Papers 1901.08932, arXiv.org.
    5. 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.
    6. Johanna Brinkel & Alexander Krämer & Ralf Krumkamp & Jürgen May & Julius Fobil, 2014. "Mobile Phone-Based mHealth Approaches for Public Health Surveillance in Sub-Saharan Africa: A Systematic Review," IJERPH, MDPI, vol. 11(11), pages 1-24, November.
    7. 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.
    8. Sarbhan Singh & Lai Chee Herng & Lokman Hakim Sulaiman & Shew Fung Wong & Jenarun Jelip & Norhayati Mokhtar & Quillon Harpham & Gina Tsarouchi & Balvinder Singh Gill, 2022. "The Effects of Meteorological Factors on Dengue Cases in Malaysia," IJERPH, MDPI, vol. 19(11), pages 1-24, May.
    9. Marat Rafikov & Elvira Rafikova & Hyun Mo Yang, 2015. "Optimization of the Aedes aegypti Control Strategies for Integrated Vector Management," Journal of Applied Mathematics, Hindawi, vol. 2015, pages 1-8, June.
    10. Jeon-Young Kang & Jared Aldstadt, 2017. "The Influence of Spatial Configuration of Residential Area and Vector Populations on Dengue Incidence Patterns in an Individual-Level Transmission Model," IJERPH, MDPI, vol. 14(7), pages 1-14, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vinícius G. Contessoto & Olga Dudchenko & Erez Lieberman Aiden & Peter G. Wolynes & José N. Onuchic & Michele Pierro, 2023. "Interphase chromosomes of the Aedes aegypti mosquito are liquid crystalline and can sense mechanical cues," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    2. Zhichao Li, 2022. "Forecasting Weekly Dengue Cases by Integrating Google Earth Engine-Based Risk Predictor Generation and Google Colab-Based Deep Learning Modeling in Fortaleza and the Federal District, Brazil," IJERPH, MDPI, vol. 19(20), pages 1-16, October.
    3. 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.
    4. Zhichao Li & Helen Gurgel & Nadine Dessay & Luojia Hu & Lei Xu & Peng Gong, 2020. "Semi-Supervised Text Classification Framework: An Overview of Dengue Landscape Factors and Satellite Earth Observation," IJERPH, MDPI, vol. 17(12), pages 1-29, June.
    5. Julissa Alexandra Galarza-Villamar & Mariette McCampbell & Cees Leeuwis & Francesco Cecchi, 2021. "Adding Emergence and Spatiality to a Public Bad Game for Studying Dynamics in Socio-Ecological Systems (Part I): The Design of Musa-Game for Integrative Analysis of Collective Action in Banana Disease," Sustainability, MDPI, vol. 13(16), pages 1-21, August.
    6. Thomas Obadia & Gladys Gutierrez-Bugallo & Veasna Duong & Ana I. Nuñez & Rosilainy S. Fernandes & Basile Kamgang & Liza Hery & Yann Gomard & Sandra R. Abbo & Davy Jiolle & Uros Glavinic & Myrielle Dup, 2022. "Zika vector competence data reveals risks of outbreaks: the contribution of the European ZIKAlliance project," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    7. 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.
    8. Shi Yin & Chao Ren & Yuan Shi & Junyi Hua & Hsiang-Yu Yuan & Lin-Wei Tian, 2022. "A Systematic Review on Modeling Methods and Influential Factors for Mapping Dengue-Related Risk in Urban Settings," IJERPH, MDPI, vol. 19(22), pages 1-20, November.
    9. Josh Platzky Miller & Antoine Sander & Sharath Srinivasan, 2022. "Control, Extract, Legitimate: COVID‐19 and Digital Techno‐opportunism across Africa," Development and Change, International Institute of Social Studies, vol. 53(6), pages 1283-1307, November.
    10. 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.
    11. 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.
    12. Walker, Melody & Robert, Michael A. & Childs, Lauren M., 2021. "The importance of density dependence in juvenile mosquito development and survival: A model-based investigation," Ecological Modelling, Elsevier, vol. 440(C).
    13. Adivânia Cardoso da Silva & Paulo Sérgio Scalize, 2023. "Environmental Variables Related to Aedes aegypti Breeding Spots and the Occurrence of Arbovirus Diseases," Sustainability, MDPI, vol. 15(10), pages 1-21, May.
    14. Konstantinos Mitsakakis & Sebastian Hin & Pie Müller & Nadja Wipf & Edward Thomsen & Michael Coleman & Roland Zengerle & John Vontas & Konstantinos Mavridis, 2018. "Converging Human and Malaria Vector Diagnostics with Data Management towards an Integrated Holistic One Health Approach," IJERPH, MDPI, vol. 15(2), pages 1-26, February.
    15. Ibrahim Alkhaldy & Pauline Barnett, 2021. "Evaluation of Neighborhood Socio-Economic Status, as Measured by the Delphi Method, on Dengue Fever Distribution in Jeddah City, Saudi Arabia," IJERPH, MDPI, vol. 18(12), pages 1-11, June.
    16. Syed Ali Asad Naqvi & Muhammad Sajjad & Liaqat Ali Waseem & Shoaib Khalid & Saima Shaikh & Syed Jamil Hasan Kazmi, 2021. "Integrating Spatial Modelling and Space–Time Pattern Mining Analytics for Vector Disease-Related Health Perspectives: A Case of Dengue Fever in Pakistan," IJERPH, MDPI, vol. 18(22), pages 1-30, November.
    17. Yusuf Amuda Tajudeen & Habeebullah Jayeola Oladipo & Iyiola Olatunji Oladunjoye & Rashidat Onyinoyi Yusuf & Hammed Sodiq & Abass Olawale Omotosho & Damilola Samuel Adesuyi & Sodiq Inaolaji Yusuff & Mo, 2022. "Emerging Arboviruses of Public Health Concern in Africa: Priorities for Future Research and Control Strategies," Challenges, MDPI, vol. 13(2), pages 1-11, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:15578-:d:982364. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.