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The Burden of Dengue in Children by Calculating Spatial Temperature: A Methodological Approach Using Remote Sensing Techniques

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  • Oliver Mendoza-Cano

    (Facultad de Ingeniería Civil, Universidad de Colima, km. 9 Carretera Colima-Coquimatlán, Col. Jardines del Llano, Coquimatlán 28400, Colima, Mexico)

  • Pedro Rincón-Avalos

    (Facultad de Ingeniería Civil, Universidad de Colima, km. 9 Carretera Colima-Coquimatlán, Col. Jardines del Llano, Coquimatlán 28400, Colima, Mexico)

  • Verity Watson

    (Health Economics Research Unit, University of Aberdeen, Aberdeen AB25 2ZD, UK)

  • Abdou Khouakhi

    (School of Water, Energy and Environment, Centre for Environmental and Agricultural Informatics, Cranfield University, Cranfield MK43 0AL, UK)

  • Jesús López-de la Cruz

    (Facultad de Ingeniería Civil, Universidad de Colima, km. 9 Carretera Colima-Coquimatlán, Col. Jardines del Llano, Coquimatlán 28400, Colima, Mexico)

  • Angelica Patricia Ruiz-Montero

    (Facultad de Ingeniería Civil, Universidad de Colima, km. 9 Carretera Colima-Coquimatlán, Col. Jardines del Llano, Coquimatlán 28400, Colima, Mexico)

  • Cynthia Monique Nava-Garibaldi

    (Department of Civil and Environmental Engineering, University of Wisconsin-Madison, 1415 Engineering Dr, Madison, WI 53706, USA)

  • Mario Lopez-Rojas

    (Facultad de Ingeniería Civil, Universidad de Colima, km. 9 Carretera Colima-Coquimatlán, Col. Jardines del Llano, Coquimatlán 28400, Colima, Mexico)

  • Efrén Murillo-Zamora

    (Departamento de Epidemiología, Unidad de Medicina Familiar No. 19, Instituto Mexicano del Seguro Social, Av. Javier Mina 301, Col. Centro, Colima 28000, Colima, Mexico)

Abstract

Background: Dengue fever is one of the most important arboviral diseases. Surface temperature versus dengue burden in tropical environments can provide valuable information that can be adapted in future measurements to improve health policies. Methods: A methodological approach using Daymet-V3 provided estimates of daily weather parameters. A Python code developed by us extracted the median temperature from the urban regions of Colima State (207.3 km 2 ) in Mexico. JointPoint regression models computed the mean temperature-adjusted average annual percentage of change (AAPC) in disability-adjusted life years (DALY) rates (per 100,000) due to dengue in Colima State among school-aged (5–14 years old) children. Results: Primary outcomes were average temperature in urban areas and cumulative dengue burden in DALYs in the school-aged population. A model from 1990 to 2017 medium surface temperature with DALY rates was performed. The increase in DALYs rate was 64% (95% CI, 44–87%), and it seemed to depend on the 2000–2009 estimates (AAPC = 185%, 95% CI 18–588). Conclusion: From our knowledge, this is the first study to evaluate surface temperature and to model it through an extensive period with health economics calculations in a specific subset of the Latin-American endemic population for dengue epidemics.

Suggested Citation

  • Oliver Mendoza-Cano & Pedro Rincón-Avalos & Verity Watson & Abdou Khouakhi & Jesús López-de la Cruz & Angelica Patricia Ruiz-Montero & Cynthia Monique Nava-Garibaldi & Mario Lopez-Rojas & Efrén Murill, 2021. "The Burden of Dengue in Children by Calculating Spatial Temperature: A Methodological Approach Using Remote Sensing Techniques," IJERPH, MDPI, vol. 18(8), pages 1-10, April.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:8:p:4230-:d:537514
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    References listed on IDEAS

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    1. Bipin Kumar Acharya & Chunxiang Cao & Min Xu & Laxman Khanal & Shahid Naeem & Shreejana Pandit, 2018. "Present and Future of Dengue Fever in Nepal: Mapping Climatic Suitability by Ecological Niche Model," IJERPH, MDPI, vol. 15(2), pages 1-15, January.
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