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. 2024 Jun 6;19(6):e0302025.
doi: 10.1371/journal.pone.0302025. eCollection 2024.

Microclimate factors related to dengue virus burden clusters in two endemic towns of Mexico

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Microclimate factors related to dengue virus burden clusters in two endemic towns of Mexico

Johanna Tapias-Rivera et al. PLoS One. .

Abstract

In dengue-endemic areas, transmission control is limited by the difficulty of achieving sufficient coverage and sustainability of interventions. To maximize the effectiveness of interventions, areas with higher transmission could be identified and prioritized. The aim was to identify burden clusters of Dengue virus (DENV) infection and evaluate their association with microclimatic factors in two endemic towns from southern Mexico. Information from a prospective population cohort study (2·5 years of follow-up) was used, microclimatic variables were calculated from satellite information, and a cross-sectional design was conducted to evaluate the relationship between the outcome and microclimatic variables in the five surveys. Spatial clustering was observed in specific geographic areas at different periods. Both, land surface temperature (aPR 0·945; IC95% 0·895-0·996) and soil humidity (aPR 3·018; IC95% 1·013-8·994), were independently associated with DENV burden clusters. These findings can help health authorities design focused dengue surveillance and control activities in dengue endemic areas.

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Conflict of interest statement

FAD-Q declares grants from the Brazilian National Council for Scientific and Technological Development – CNPq and Sanofi Pasteur not related to this work. JR-C declares grant support to develop the cohort from which data are taken and funded by Sanofi Pasteur DNG 22 (Dengue seroprevalence, neutralizing titers and incidence in an endemic population of Morelos State, Mexico); payment for expert testimony from Takeda and support for attending meetings and/or travel by Sanofi Pasteur not related to this work. RAM-V reports honoraria and travel expenses as a consultant for the project from which the primary data were obtained by the National Institute of Public Health. Mexico and funded by Sanofi Pasteur DGN 22. IYA-L reports honoraria as coordinator of the project from which the primary data were obtained by the National Institute of Public Health. Mexico and funded by Sanofi Pasteur DNG 22. JT-P, SR-P and RS-L have no conflict of interest to declare. This does not alter our adherence to PLOS ONE policies on sharing data and materials.

Figures

Fig 1
Fig 1. Spatial distribution and burden clusters of recent DENV infections in Axochiapan, first survey.
a. Spatial distribution of the participants (Red dots: Positive for recent DENV infection; Green dots: Negative for recent DENV infection). b. Percentage of recent DENV infection. c. Hot Spots of recent DENV infection. d. Clusters (Autocorrelation, Anselin local Moran’s I). Sources: Esri module of ArcGIS, DigitalGlobe, GeoEye, Earthstar Geographics, CNES/Airbus DS, USDA, USGS, AeroGRID, IGN, and the GIS User Community.
Fig 2
Fig 2. Spatial distribution and burden clusters of recent DENV infections in Axochiapan, third survey.
a. Spatial distribution of the participants (Red dots: Positive for recent DENV infection; Green dots: Negative for recent DENV infection). b. Percentage of recent DENV infection. c. Hot Spots of recent DENV infection. d. Clusters (Autocorrelation, Anselin local Moran’s I). Sources: Esri module of ArcGIS, DigitalGlobe, GeoEye, Earthstar Geographics, CNES/Airbus DS, USDA, USGS, AeroGRID, IGN, and the GIS User Community.
Fig 3
Fig 3. Spatial distribution of soil humidity and land surface temperature in Axochiapan, first and third surveys.
Red or blue dots: Positive for recent DENV infection; Green dots: Negative for recent DENV infection. a. Soil humidity in survey 1. b. Soil humidity in survey 3. c. Land surface temperature in survey 1. d. Land surface temperature in survey 3. Sources: Esri module of ArcGIS, DigitalGlobe, GeoEye, Earthstar Geographics, CNES/Airbus DS, USDA, USGS, AeroGRID, IGN, and the GIS User Community.

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References

    1. Gubler DJ. Dengue and dengue hemorrhagic fever. Clin Microbiol Rev. 1998;11(3):480–96. doi: 10.1128/CMR.11.3.480 ; PubMed Central PMCID: PMC88892. - DOI - PMC - PubMed
    1. Organization WH. Dengue and severe dengue Geneva, Switzerland2023 [cited 2023 03/14/2023]. Available from: https://www.who.int/news-room/fact-sheets/detail/dengue-and-severe-dengue.
    1. Organization PAH. PLISA Health Information Platform for the Americas: Dengue Whasington D.C. USA2023 [cited 2023 03/14/2023]. Available from: https://www3.paho.org/data/index.php/en/mnu-topics/indicadores-dengue-en....
    1. Runge-Ranzinger S, McCall PJ, Kroeger A, Horstick O. Dengue disease surveillance: an updated systematic literature review. Trop Med Int Health. 2014;19(9):1116–60. Epub 20140528. doi: 10.1111/tmi.12333 ; PubMed Central PMCID: PMC4253126. - DOI - PMC - PubMed
    1. Martinez-Vega RA, Danis-Lozano R, Diaz-Quijano FA, Velasco-Hernandez J, Santos-Luna R, Roman-Perez S, et al.. Peridomestic Infection as a Determining Factor of Dengue Transmission. PLoS Negl Trop Dis. 2015;9(12):e0004296. Epub 20151215. doi: 10.1371/journal.pntd.0004296 ; PubMed Central PMCID: PMC4684393. - DOI - PMC - PubMed