Spatiotemporal and meteorological relationships in dengue transmission in the Dominican Republic, 2015-2019.

Autor: Robert MA; Department of Mathematics and Center for Emerging, Zoonotic, and Arthropod-Borne Pathogens (CeZAP), Virginia Polytechnic Institute and State University, Blacksburg, VA, USA. michaelrobert@vt.edu., Rodrigues HS; Escola Superior de Ciências Empresariais, Instituto Politécnico de Viana do Castelo, Valença, Portugal.; Centro de Investigação e Desenvolvimento em Matemática e Aplicações, Universidade de Aveiro, Aveiro, Portugal., Herrera D; Centro de Investigación en Salud Dr. Hugo Mendoza, Hospital Pediátrico Dr. Hugo Mendoza, Santo Domingo, Dominican Republic., de Mata Donado Campos J; Departamento de Medicina Preventiva y Salud Pública y Microbiología, Facultad de Medicina, Universidad Autónoma de Madrid, Madrid, Spain.; Instituto de Investigación Sanitaria del Hospital Universitario La Paz (IdiPAZ), Universidad Autónoma de Madrid, Madrid, Spain.; Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Calle Monforte de Lemos 3-5, 28029, Madrid, Spain., Morilla F; Departamento de Informática y Automática, Escuela Técnica Superior de Ingeniería Informática, Universidad Nacional de Educación a Distancia, Madrid, Spain., Del Águila Mejía J; Departamento de Medicina Preventiva y Salud Pública y Microbiología, Facultad de Medicina, Universidad Autónoma de Madrid, Madrid, Spain., Guardado ME; Instituto Tecnológico de Santo Domingo (INTEC), Santo Domingo, Dominican Republic., Skewes R; Dirección General de Epidemiología, Ministerio de Salud, Santo Domingo, Dominican Republic., Colomé-Hidalgo M; Instituto Tecnológico de Santo Domingo (INTEC), Santo Domingo, Dominican Republic.
Jazyk: angličtina
Zdroj: Tropical medicine and health [Trop Med Health] 2023 Jun 02; Vol. 51 (1), pp. 32. Date of Electronic Publication: 2023 Jun 02.
DOI: 10.1186/s41182-023-00517-9
Abstrakt: Dengue has broadened its global distribution substantially in the past two decades, and many endemic areas are experiencing increases in incidence. The Dominican Republic recently experienced its two largest outbreaks to date with 16,836 reported cases in 2015 and 20,123 reported cases in 2019. With continued increases in dengue transmission, developing tools to better prepare healthcare systems and mosquito control agencies is of critical importance. Before such tools can be developed, however, we must first better understand potential drivers of dengue transmission. To that end, we focus in this paper on determining relationships between climate variables and dengue transmission with an emphasis on eight provinces and the capital city of the Dominican Republic in the period 2015-2019. We present summary statistics for dengue cases, temperature, precipitation, and relative humidity in this period, and we conduct an analysis of correlated lags between climate variables and dengue cases as well as correlated lags among dengue cases in each of the nine locations. We find that the southwestern province of Barahona had the largest dengue incidence in both 2015 and 2019. Among all climate variables considered, lags between relative humidity variables and dengue cases were the most frequently correlated. We found that most locations had significant correlations with cases in other locations at lags of zero weeks. These results can be used to improve predictive models of dengue transmission in the country.
(© 2023. The Author(s).)
Databáze: MEDLINE
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