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; Efrén Murillo-Zamora

doi:10.3390/ijerph18084230

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, Efrén Murillo-Zamora^* (Corresponding Author)

^*Corresponding author for this work

Health Economics Research Unit

Research output: Contribution to journal › Article › peer-review

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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 km²) 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.

Original language	English
Article number	4230
Number of pages	10
Journal	International Journal of Environmental Research and Public Health
Volume	18
Issue number	8
DOIs	https://doi.org/10.3390/ijerph18084230
Publication status	Published - 16 Apr 2021

Bibliographical note

Funding: This research received no external funding

Data Availability Statement: The authors encourage collaboration and use of the data by other re- searchers. Data are stored on the server in Mexico, and researchers interested in using the data for scientific purposes should contact the project leader Oliver Mendoza-Cano.

Keywords

Arbovirus
Children
Dengue
Health economics
Remote sensing
Temperature

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Mendoza-Cano, O., Rincón-Avalos, P., Watson, V., Khouakhi, A., la Cruz, J. L. D., Ruiz-Montero, A. P., Nava-Garibaldi, C. M., Lopez-Rojas, M., & Murillo-Zamora, E. (2021). The burden of dengue in children by calculating spatial temperature: A methodological approach using remote sensing techniques. International Journal of Environmental Research and Public Health, 18(8), Article 4230. https://doi.org/10.3390/ijerph18084230

Mendoza-Cano, O, Rincón-Avalos, P, Watson, V, Khouakhi, A, la Cruz, JLD, Ruiz-Montero, AP, Nava-Garibaldi, CM, Lopez-Rojas, M & Murillo-Zamora, E 2021, 'The burden of dengue in children by calculating spatial temperature: A methodological approach using remote sensing techniques', International Journal of Environmental Research and Public Health, vol. 18, no. 8, 4230. https://doi.org/10.3390/ijerph18084230

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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 km2) 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.",

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author = "Oliver Mendoza-Cano and Pedro Rinc{\'o}n-Avalos and Verity Watson and Abdou Khouakhi and {la Cruz}, {Jes{\'u}s L{\'o}pez de} and Ruiz-Montero, {Angelica Patricia} and Nava-Garibaldi, {Cynthia Monique} and Mario Lopez-Rojas and Efr{\'e}n Murillo-Zamora",

note = "Funding: This research received no external funding Data Availability Statement: The authors encourage collaboration and use of the data by other re- searchers. Data are stored on the server in Mexico, and researchers interested in using the data for scientific purposes should contact the project leader Oliver Mendoza-Cano.",

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AU - Rincón-Avalos, Pedro

AU - Watson, Verity

AU - Khouakhi, Abdou

AU - la Cruz, Jesús López de

AU - Ruiz-Montero, Angelica Patricia

AU - Nava-Garibaldi, Cynthia Monique

AU - Lopez-Rojas, Mario

AU - Murillo-Zamora, Efrén

N1 - Funding: This research received no external funding Data Availability Statement: The authors encourage collaboration and use of the data by other re- searchers. Data are stored on the server in Mexico, and researchers interested in using the data for scientific purposes should contact the project leader Oliver Mendoza-Cano.

PY - 2021/4/16

Y1 - 2021/4/16

N2 - 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 km2) 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.

AB - 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 km2) 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.

KW - Arbovirus

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KW - Dengue

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ER -

The burden of dengue in children by calculating spatial temperature: A methodological approach using remote sensing techniques

Abstract

Bibliographical note

Keywords

UN SDGs

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