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Título : Is climate the great driving force behind dengue infections in urbans areas? A study in dengue-endemic Santo Domingo, Dominican Republic
Autores: Tapia-Barredo, Leandro
Arredondo-Abreu, César Alberto
Ruiz-Matuk, Carlos B.
Investigadores (UNIBE): Tapia-Barredo, Leandro 
Arredondo-Abreu, César Alberto 
Ruiz-Matuk, Carlos B. 
Paulino-Ramírez, Robert 
Afiliaciones : Instituto de Medicina Tropical y Salud Global (IMTSAG) 
Decanato de Investigación e Innovación (DII) 
Decanato de Investigación e Innovación (DII) 
Instituto de Medicina Tropical y Salud Global (IMTSAG) 
Área de investigación : Ciencias de la Salud
Fecha de publicación : 2019
Editorial : Royal Society of Tropical Medicine and Hygiene
Publicado en: Abstracts from the 11th European Congress on Tropical Medicine and International Health, Royal Society of Tropical Medicine and Hygiene, 113 (Suppl. 1), S74
Revista: Transactions of the Royal Society of Tropical Medicine and Hygiene 
Volumen : 113
Número : Suppl 1
Página de inicio : S74
Conferencia : 11th European Congress on Tropical Medicine and International Health, 16-20 September 2019, Liverpool, United Kingdom
Resumen : 
Introduction: The Caribbean Region is home to Dengue viruses and its vectors due its tropical climate. With new evidence of climate change, monitoring of climatologic factors has emerged as a prevention strategy for tropical infections. Understanding tropical disease dynamics based on climatologic variables is the key to achieve eradication of arthropodborne diseases, especially in heavily populated urban areas. Aim: The aim of this study is to describe the relationship between climatologic factors and dengue cases in Santo Domingo. Methods: Weekly dengue reports from January 2012 to December 2017 were extracted from the Ministry of Health database. Meanwhile, Maximum, Minimum and Mean Temperature, Rainfall and Relative Humidity were obtained from to the National Meteorological Office. Correlations of individual factors were calculated using 1 weeks and 12 weeks. Regressions for these lags were conducted to explain the individuality of the climatologic factors. Results: The 1-week lag shows a correlation between Dengue Cases and Average Temperature (rho=0.22, p < .01), Dengue Cases and Rain (rho = -.14, p < .05), and Dengue Cases and Humidity (rho = -.16, p < .05.). The regression model performed at 1 week lag explains 4% of the variance and was a significant predictor F(3,308), p < 0.01; Average temperature (B = 11.26, p < 0.01) and Humidity (B = -4.08, p < 0.01) contributed significantly to the model. The12 weeks lag shows a negative correlation between Dengue Cases and Mean Temperature (rho= -0.20, p< 0.001; Average Temperature (B = -28.67, p…. Conclusion: The relation between climate and infectious diseases in urban areas is complex. Temperature, rainfall and humidity has demonstrated to individually correlate with Dengue infections in the city of Santo Domingo. Strategies must be developed to take into consideration the changing climate experienced in the Dominican territory as well to compare the climatologic drive for dengue infections in other parts of the nation.
URI : http://cris.unibe.edu.do/handle/123456789/203
DOI : 10.1093/trstmh/trz094
Aparece en las colecciones: Publicaciones del IMTSAG-UNIBE
Publicaciones indexadas en Scopus / Web of Science

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