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

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dc.contributor.authorMendoza-Cano, Oliver
dc.contributor.authorRincón-Avalos, Pedro
dc.contributor.authorWatson, Verity
dc.contributor.authorKhouakhi, Abdou
dc.contributor.authorLópez-de la Cruz, Jesús
dc.contributor.authorRuiz-Montero, Angelica Patricia
dc.contributor.authorNava-Garibaldi, Cynthia Monique
dc.contributor.authorLopez-Rojas, Mario
dc.contributor.authorMurillo-Zamora, Efrén
dc.date.accessioned2021-04-29T11:30:39Z
dc.date.available2021-04-29T11:30:39Z
dc.date.issued2021-04-16
dc.description.abstractBackground: 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.en_UK
dc.identifier.citationMendoza-Cano O, Rincón-Avalos P, Watson V, et al., (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, Volume 18, Issue 8, April 2021, Article number 4230en_UK
dc.identifier.issn1661-7827
dc.identifier.urihttps://doi.org/10.3390/ijerph18084230
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/16632
dc.language.isoenen_UK
dc.publisherMDPIen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjecthealth economicsen_UK
dc.subjecttemperatureen_UK
dc.subjectremote sensingen_UK
dc.subjectdengueen_UK
dc.subjectarbovirusen_UK
dc.subjectchildrenen_UK
dc.titleThe burden of dengue in children by calculating spatial temperature: a methodological approach using remote sensing techniquesen_UK
dc.typeArticleen_UK

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