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Adopting a Statistical, Mechanistic, Integrated Surveillance, Thermal Biology, and Holistic (SMITH) Approach for Arbovirus Control in a Changing Climate: A Review of Evidence

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  • Habeebullah Jayeola Oladipo

    (Department of Microbiology, Faculty of Life Sciences, University of Ilorin, P.M.B. 1515, Ilorin 240003, Nigeria
    Faculty of Pharmaceutical Sciences, University of Ilorin, P.M.B. 1515, Ilorin 240003, Nigeria)

  • Yusuf Amuda Tajudeen

    (Department of Microbiology, Faculty of Life Sciences, University of Ilorin, P.M.B. 1515, Ilorin 240003, Nigeria
    Department of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, P.M.B. 5017 G.P.O, Ibadan 200212, Nigeria)

  • Iyiola Olatunji Oladunjoye

    (Department of Microbiology, Faculty of Life Sciences, University of Ilorin, P.M.B. 1515, Ilorin 240003, Nigeria)

  • Sheriff Taye Mustapha

    (Department of Microbiology, Faculty of Life Sciences, University of Ilorin, P.M.B. 1515, Ilorin 240003, Nigeria)

  • Yusuff Inaolaji Sodiq

    (Department of Medicine, Faculty of Clinical Sciences, Obafemi Awolowo University, Ibadan-Ife Rd, Ife 220101, Osun State, Nigeria)

  • Rashidat Onyinoyi Yusuf

    (Faculty of Pharmaceutical Sciences, University of Ilorin, P.M.B. 1515, Ilorin 240003, Nigeria)

  • Oluwaseyi Muyiwa Egbewande

    (Faculty of Pharmaceutical Sciences, University of Ilorin, P.M.B. 1515, Ilorin 240003, Nigeria)

  • Abdulbasit Opeyemi Muili

    (Department of Medicine, Ladoke Akintola University of Technology, Oyo/Ilorin Rd, Ogbomosho 210214, Nigeria)

  • Taofeekat Oluwatosin Adigun

    (Department of Health Education, University of Ibadan P.M.B. 5017 G.P.O, Ibadan 200212, Nigeria)

  • Emmanuel O. Taiwo

    (Foreign, Commonwealth and Development Office, Maitama, Abuja 900103, Nigeria)

  • Mona Said El-Sherbini

    (Department of Medical Parasitology, Faculty of Medicine, Cairo University, Cairo 11562, Egypt)

Abstract

Arbovirus control depends on accurate projections of likely changes in the arthropod vector species, essential to inform local and global public health authorities. According to the WHO Assembly and the Global Vector Control Response (GVCR), by 2030, the burden of vector-borne diseases, particularly arbovirus infections, is expected to be greatly decreased. However, anthropogenic drivers, including climate change, insecticide resistance, and a lack of operational local databases for risk management of emerging and re-emerging arboviruses, hinders effective implementation plans. This article presents a statistical, mechanistic, integrated surveillance, thermal biology, and holistic framework (termed SMITH) to discuss how temperature variations affect the biological transmission, replication, extrinsic incubation period, nutritional behavior, distribution, and survival (TRENDS) of arboviruses. Future transdisciplinary research that involves knowledge translation between local and global communities is required for early detection and risk management of the growing threat posed by arboviruses for human, animal, and planetary health.

Suggested Citation

  • Habeebullah Jayeola Oladipo & Yusuf Amuda Tajudeen & Iyiola Olatunji Oladunjoye & Sheriff Taye Mustapha & Yusuff Inaolaji Sodiq & Rashidat Onyinoyi Yusuf & Oluwaseyi Muyiwa Egbewande & Abdulbasit Opey, 2023. "Adopting a Statistical, Mechanistic, Integrated Surveillance, Thermal Biology, and Holistic (SMITH) Approach for Arbovirus Control in a Changing Climate: A Review of Evidence," Challenges, MDPI, vol. 14(1), pages 1-12, January.
    • Handle: RePEc:gam:jchals:v:14:y:2023:i:1:p:8-:d:1044034
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    References listed on IDEAS

    as
    1. 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.
    2. Yusuf Amuda Tajudeen & Habeebullah Jayeola Oladipo & Rashidat Onyinoyi Yusuf & Iyiola Olatunji Oladunjoye & Aminat Olaitan Adebayo & Abdulhakeem Funsho Ahmed & Mona Said El-Sherbini, 2022. "The Need to Prioritize Prevention of Viral Spillover in the Anthropopandemicene: A Message to Global Health Researchers and Policymakers," Challenges, MDPI, vol. 13(2), pages 1-9, August.
    3. Yusuf Amuda Tajudeen & Habeebullah Jayeola Oladipo & Iyiola Olatunji Oladunjoye & Mutiat Oluwakemi Mustapha & Sheriff Taye Mustapha & Adam Aberi Abdullahi & Rashidat Onyinoyi Yusuf & Samuel Olushola A, 2022. "Preventing the Next Pandemic through a Planetary Health Approach: A Focus on Key Drivers of Zoonosis," Challenges, MDPI, vol. 13(2), pages 1-14, September.
    4. Jared L Strasburg & Michael Kearney & Craig Moritz & Alan R Templeton, 2007. "Combining Phylogeography with Distribution Modeling: Multiple Pleistocene Range Expansions in a Parthenogenetic Gecko from the Australian Arid Zone," PLOS ONE, Public Library of Science, vol. 2(8), pages 1-15, August.
    5. Yusuf Amuda Tajudeen & Iyiola Olatunji Oladunjoye & Ousman Bajinka & Habeebullah Jayeola Oladipo, 2022. "Zoonotic Spillover in an Era of Rapid Deforestation of Tropical Areas and Unprecedented Wildlife Trafficking: Into the Wild," Challenges, MDPI, vol. 13(2), pages 1-8, August.
    6. Austin, Mike, 2007. "Species distribution models and ecological theory: A critical assessment and some possible new approaches," Ecological Modelling, Elsevier, vol. 200(1), pages 1-19.
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