A dengue outbreak in a rural community in Northern Coastal Ecuador: An analysis using unmanned aerial vehicle mapping.

Autor: Lee GO; Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, United States of America., Vasco L; Instituto de Geografía, Universidad San Francisco de Quito, Quito, Ecuador., Márquez S; Instituto de Microbiología, Universidad San Francisco de Quito, Quito, Ecuador., Zuniga-Moya JC; Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, United States of America., Van Engen A; Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, United States of America., Uruchima J; Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, United States of America., Ponce P; Gestión de Investigación, desarrollo e Innovación, Instituto Nacional de Investigación en Salud Pública (INSPI), Quito, Ecuador., Cevallos W; Instituto de Biomedicina, Universidad Central del Ecuador, Quito, Ecuador., Trueba G; Instituto de Microbiología, Universidad San Francisco de Quito, Quito, Ecuador., Trostle J; Department of Anthropology, Trinity College, Hartford, Connecticut, United States of America., Berrocal VJ; Department of Statistics, University of California, Irvine, California, United States of America., Morrison AC; Department of Pathology, Microbiology, and Immunology, School of Veterinary Medicince, University of California, San Diego, California, United States., Cevallos V; Gestión de Investigación, desarrollo e Innovación, Instituto Nacional de Investigación en Salud Pública (INSPI), Quito, Ecuador., Mena C; Instituto de Geografía, Universidad San Francisco de Quito, Quito, Ecuador., Coloma J; Division of Infectious Diseases and Vaccinology, School of Public Health, University of California, Berkeley, California, United States of America., Eisenberg JNS; Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, United States of America.
Jazyk: angličtina
Zdroj: PLoS neglected tropical diseases [PLoS Negl Trop Dis] 2021 Sep 27; Vol. 15 (9), pp. e0009679. Date of Electronic Publication: 2021 Sep 27 (Print Publication: 2021).
DOI: 10.1371/journal.pntd.0009679
Abstrakt: Dengue is recognized as a major health issue in large urban tropical cities but is also observed in rural areas. In these environments, physical characteristics of the landscape and sociodemographic factors may influence vector populations at small geographic scales, while prior immunity to the four dengue virus serotypes affects incidence. In 2019, a rural northwestern Ecuadorian community, only accessible by river, experienced a dengue outbreak. The village is 2-3 hours by boat away from the nearest population center and comprises both Afro-Ecuadorian and Indigenous Chachi households. We used multiple data streams to examine spatial risk factors associated with this outbreak, combining maps collected with an unmanned aerial vehicle (UAV), an entomological survey, a community census, and active surveillance of febrile cases. We mapped visible water containers seen in UAV images and calculated both the green-red vegetation index (GRVI) and household proximity to public spaces like schools and meeting areas. To identify risk factors for symptomatic dengue infection, we used mixed-effect logistic regression models to account for the clustering of symptomatic cases within households. We identified 55 dengue cases (9.5% of the population) from 37 households. Cases peaked in June and continued through October. Rural spatial organization helped to explain disease risk. Afro-Ecuadorian (versus Indigenous) households experience more symptomatic dengue (OR = 3.0, 95%CI: 1.3, 6.9). This association was explained by differences in vegetation (measured by GRVI) near the household (OR: 11.3 95% 0.38, 38.0) and proximity to the football field (OR: 13.9, 95% 4.0, 48.4). The integration of UAV mapping with other data streams adds to our understanding of these dynamics.
Competing Interests: The authors have declared that no competing interests exist.
Databáze: MEDLINE
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