Estimating and mapping the incidence of dengue and chikungunya in Honduras during 2015 using Geographic Information Systems (GIS)

Página do item simplificado
dc.citation.issue4]
dc.citation.volume10]
dc.contributor.authorZambrano, Lysien I. [UNIFESP]
dc.contributor.authorSierra, Manuel
dc.contributor.authorLara, Bredy
dc.contributor.authorRodriguez-Nunez, Ivan
dc.contributor.authorMedina, Marco T.
dc.contributor.authorLozada-Riascos, Carlos O.
dc.contributor.authorRodriguez-Morales, Alfonso J.
dc.coverageLondon
dc.date.accessioned2020-06-26T16:30:26Z
dc.date.available2020-06-26T16:30:26Z
dc.date.issued2017
dc.description.abstractGeographical information systems (GIS) use for development of epidemiological maps in dengue has been extensively used, however not in other emerging arboviral diseases, nor in Central America. Surveillance cases data (2015) were used to estimate annual incidence rates of dengue and chikungunya (cases/100,000 pop) to develop the first maps in the departments and municipalities of Honduras. The GIS software used was Kosmo Desktop 3.0RC1 (R). Four thematic maps were developed according departments, municipalities, diseases incidence rates. A total of 19,289 cases of dengue and 85,386 of chikungunya were reported (median, 726 cases/week for dengue and 1460 for chikungunya). Highest peaks were observed at weeks 25th and 27th, respectively. There was association between progression by weeks (p < 0.0001). The cumulated crude national rate was estimated in 224.9 cases/100,000 pop for dengue and 995.6 for chikungunya. The incidence rates ratio between chikungunya and dengue is 4.42 (ranging in municipalities from 0.0 up to 893.0 [San Vicente Centenario]). Burden of both arboviral diseases is concentrated in capital Central District(>37%, both). Use of GIS-based epidemiological maps allow to guide decisions-takingfor prevention and control of diseases that still represents significant issues in the region and the country, but also in emerging conditions. (C) 2016 King Saud Bin Abdulaziz University for Health Sciences. Published by Elsevier Limited. All rights reserved.en
dc.description.affiliationUniv Nacl Autonoma Honduras, Dept Morphol Sci, Sch Med, Sci, Tegucigalpa, Honduras
dc.description.affiliationUniv Fed Sao Paulo, Cardiovasc Div, Dept Physiol, Escola Paulista Med UNIFESP EPM, Sao Paulo, Brazil
dc.description.affiliationHEU, Informat Management Unit, Tegucigalpa, Honduras
dc.description.affiliationUniv Nacl Autonoma Honduras, Sch Med Sci, Dept Publ Hlth, Tegucigalpa, Honduras
dc.description.affiliationMinist Publ Hlth Honduras SESAL, Hlth Surveillance Unit, Tegucigalpa, Honduras
dc.description.affiliationUniv San Sebastian, Fac Ciencias Salud, Escuela Kinesiol, Concepcion, Chile
dc.description.affiliationUniv Nacl Autonoma Honduras, Sch Med Sci, Tegucigalpa, Honduras
dc.description.affiliationUTP, Reg Informat Syst, Pereira, Risaralda, Colombia
dc.description.affiliationUTP, Fac Hlth Sci, Res Grp Publ Hlth & Infect, Pereira, Risaralda, Colombia
dc.description.affiliationColombian Assoc Infect Dis, Comm Zoonoses & Hemorrhag Fevers, Asociaci Colombiana Infectol, ACIN, Bogota, Colombia
dc.description.affiliationWorking Grp Zoonoses, Int Soc Chemotherapy, Aberdeen, Scotland
dc.description.affiliationOLFIS, Santander, Spain
dc.description.affiliationUnifespUniv Fed Sao Paulo, Cardiovasc Div, Dept Physiol, Escola Paulista Med UNIFESP EPM, Sao Paulo, Brazil
dc.description.sourceWeb of Science
dc.description.sponsorshipUniversidad Tecnologica de Pereira, Pereira, Risaralda, Colombia
dc.description.sponsorshipUniversidad Tecnologica de Pereira, Pereira, Risaralda, Colombia
dc.description.sponsorshipIDUniversidad Tecnologica de Pereira, Pereira, Risaralda, Colombia: 5-15-5
dc.description.sponsorshipIDUniversidad Tecnologica de Pereira, Pereira, Risaralda, Colombia
dc.format.extent446-456
dc.identifierhttp://dx.doi.org/10.1016/j.jiph.2016.08.003]
dc.identifier.citationJournal Of Infection And Public Health. London, v. 10, n. 4, p. 446-456, 2017.
dc.identifier.doi10.1016/j.jiph.2016.08.003
dc.identifier.issn1876-0341
dc.identifier.urihttps://repositorio.unifesp.br/handle/11600/53534
dc.identifier.wosWOS:000407716800011
dc.language.isoeng
dc.publisherElsevier Science London
dc.relation.ispartofJournal Of Infection And Public Health
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectDengueen
dc.subjectChikungunyaen
dc.subjectArbovirusesen
dc.subjectInfectious diseases epidemiologyen
dc.subjectHondurasen
dc.titleEstimating and mapping the incidence of dengue and chikungunya in Honduras during 2015 using Geographic Information Systems (GIS)en
dc.typeinfo:eu-repo/semantics/article
Arquivos
Coleções
EPM - Artigos