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

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 and Efrén Murillo-Zamora
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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

IJERPH, 2021, vol. 18, issue 8, 1-10

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.

Keywords: children; arbovirus; dengue; remote sensing; temperature; health economics (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
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