Por favor, use este identificador para citar o enlazar este ítem: http://cris.unibe.edu.do/handle/123456789/203
Campo DC Valor Lengua/Idioma
dc.contributor.authorTapia-Barredo, Leandro-
dc.contributor.authorArredondo-Abreu, César Alberto-
dc.contributor.authorRuiz-Matuk, Carlos B.-
dc.contributor.authorPaulino-Ramírez, Robert-
dc.date.accessioned2021-10-25T19:44:43Z-
dc.date.available2021-10-25T19:44:43Z-
dc.date.issued2019-
dc.identifier.citationAbstracts from the 11th European Congress on Tropical Medicine and International Health, Royal Society of Tropical Medicine and Hygiene, 113 (Suppl. 1), S74-
dc.identifier.urihttp://cris.unibe.edu.do/handle/123456789/203-
dc.description.abstractIntroduction: 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.-
dc.language.isoEnglish-
dc.publisherRoyal Society of Tropical Medicine and Hygiene-
dc.relation.ispartofTransactions of the Royal Society of Tropical Medicine and Hygiene-
dc.rights.urihttps://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model-
dc.subjectCiencias de la Salud-
dc.titleIs climate the great driving force behind dengue infections in urbans areas? A study in dengue-endemic Santo Domingo, Dominican Republic-
dc.typeConference Paper-
dc.rights.licenseThis article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model.-
dc.relation.conference11th European Congress on Tropical Medicine and International Health, 16-20 September 2019, Liverpool, United Kingdom-
dc.identifier.doi10.1093/trstmh/trz094-
dc.rights.holder© The Author(s) 2019. Published by Oxford University Press on behalf of Royal Society of Tropical Medicine and Hygiene.-
dc.contributor.affiliationInstituto de Medicina Tropical y Salud Global (IMTSAG)-
dc.contributor.affiliationDecanato de Investigación e Innovación (DII)-
dc.contributor.affiliationDecanato de Investigación e Innovación (DII)-
dc.contributor.affiliationInstituto de Medicina Tropical y Salud Global (IMTSAG)-
dc.relation.issn0035-9203-
dc.description.volume113-
dc.description.issueSuppl 1-
dc.description.startpageS74-
dc.contributor.authorsTapia-Barredo, Leandro-
dc.contributor.authorsArredondo-Abreu, César Alberto-
dc.contributor.authorsRuiz-Matuk, Carlos B.-
dc.typeofaccessOpen Access-
dc.contributor.affiliationinstitutionUniversidad Iberoamericana (UNIBE)-
dc.contributor.affiliationinstitutionUniversidad Iberoamericana (UNIBE)-
dc.contributor.affiliationinstitutionUniversidad Iberoamericana (UNIBE)-
dc.contributor.affiliationcountryDominican Republic-
dc.contributor.affiliationcountryDominican Republic-
dc.contributor.affiliationcountryDominican Republic-
item.fulltextCon texto completo -
item.grantfulltextopen-
item.languageiso639-1English-
item.openairetypeConference Paper-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.deptInstituto de Medicina Tropical y Salud Global (IMTSAG)-
crisitem.author.deptDecanato de Investigación e Innovación (DII)-
crisitem.author.deptVicerrectoría de Investigación e Innovación-
crisitem.author.deptInstituto de Medicina Tropical y Salud Global (IMTSAG)-
crisitem.author.parentorgUniversidad Iberoamericana (UNIBE)-
crisitem.author.parentorgUniversidad Iberoamericana (UNIBE)-
crisitem.author.parentorgUniversidad Iberoamericana (UNIBE)-
crisitem.author.parentorgUniversidad Iberoamericana (UNIBE)-
Aparece en las colecciones: Publicaciones del IMTSAG-UNIBE
Publicaciones indexadas en Scopus / Web of Science
Ficheros en este ítem:
Fichero Descripción Tamaño Formato
trz094.pdfFull text [open access]1.61 MBAdobe PDFVisualizar/Abrir
Mostrar el registro sencillo del ítem Recomiende este ítem

Google ScholarTM

Citas

Altmetric

Menciones

Dimensions

Citas


Los ítems de DSpace están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.