Estimating and mapping the incidence of dengue and chikungunya in Honduras during 2015 using Geographic Information Systems (GIS)
Summary: Geographical 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 chikung...
Main Authors: | , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2017-07-01
|
Series: | Journal of Infection and Public Health |
Online Access: | http://www.sciencedirect.com/science/article/pii/S187603411630123X |
id |
doaj-309afa79b5814d65a4035387e52c17df |
---|---|
record_format |
Article |
spelling |
doaj-309afa79b5814d65a4035387e52c17df2020-11-24T21:18:57ZengElsevierJournal of Infection and Public Health1876-03412017-07-01104446456Estimating and mapping the incidence of dengue and chikungunya in Honduras during 2015 using Geographic Information Systems (GIS)Lysien I. Zambrano0Manuel Sierra1Bredy Lara2Iván Rodríguez-Núñez3Marco T. Medina4Carlos O. Lozada-Riascos5Alfonso J. Rodríguez-Morales6Department of Morphological Sciences, School of Medical, Sciences, Universidad Nacional Autónoma de Honduras, Tegucigalpa, Honduras; Cardiovascular Division, Department of Physiology, Escola Paulista de Medicina (UNIFESP-EPM), Universidade Federal de São Paulo, São Paulo, BrazilInformation Management Unit, Hospital Escuela Universitario (HEU), Tegucigalpa, Honduras; Department of Public Health, School of Medical Sciences, Universidad Nacional Autónoma de Honduras, Tegucigalpa, HondurasHealth Surveillance Unit, Ministry of Public Health of Honduras (SESAL), Tegucigalpa, HondurasEscuela de Kinesiología, Facultad de Ciencias de la Salud, Universidad San Sebastián, Concepción, ChileDeanship, School of Medical Sciences, Universidad Nacional Autónoma de Honduras, Tegucigalpa, HondurasRegional Information System, Universidad Tecnológica de Pereira (UTP), Pereira, Risaralda, ColombiaResearch Group Public Health and Infection, Faculty of Health Sciences, Universidad Tecnológica de Pereira (UTP), Pereira, Risaralda, Colombia; Committee on Zoonoses and Hemorrhagic Fevers of the Colombian Association of Infectious Diseases (Asociación Colombiana de Infectología, ACIN), Bogotá, Colombia; Working Group on Zoonoses, International Society for Chemotherapy, Aberdeen, United Kingdom; Organización Latinoamericana para el Fomento de la Investigación en Salud (OLFIS), Bucaramanga, Santander, Colombia; Corresponding author at: Universidad Tecnológica de Pereira, Facultad de Ciencias de la Salud, Departamento de Medicina Comunitaria, Piso 3, La Julita, Pereira, Risaralda, Colombia.Summary: Geographical 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®. 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-taking for prevention and control of diseases that still represents significant issues in the region and the country, but also in emerging conditions. Keywords: Dengue, Chikungunya, Arboviruses, Infectious diseases epidemiology, Hondurashttp://www.sciencedirect.com/science/article/pii/S187603411630123X |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lysien I. Zambrano Manuel Sierra Bredy Lara Iván Rodríguez-Núñez Marco T. Medina Carlos O. Lozada-Riascos Alfonso J. Rodríguez-Morales |
spellingShingle |
Lysien I. Zambrano Manuel Sierra Bredy Lara Iván Rodríguez-Núñez Marco T. Medina Carlos O. Lozada-Riascos Alfonso J. Rodríguez-Morales Estimating and mapping the incidence of dengue and chikungunya in Honduras during 2015 using Geographic Information Systems (GIS) Journal of Infection and Public Health |
author_facet |
Lysien I. Zambrano Manuel Sierra Bredy Lara Iván Rodríguez-Núñez Marco T. Medina Carlos O. Lozada-Riascos Alfonso J. Rodríguez-Morales |
author_sort |
Lysien I. Zambrano |
title |
Estimating and mapping the incidence of dengue and chikungunya in Honduras during 2015 using Geographic Information Systems (GIS) |
title_short |
Estimating and mapping the incidence of dengue and chikungunya in Honduras during 2015 using Geographic Information Systems (GIS) |
title_full |
Estimating and mapping the incidence of dengue and chikungunya in Honduras during 2015 using Geographic Information Systems (GIS) |
title_fullStr |
Estimating and mapping the incidence of dengue and chikungunya in Honduras during 2015 using Geographic Information Systems (GIS) |
title_full_unstemmed |
Estimating and mapping the incidence of dengue and chikungunya in Honduras during 2015 using Geographic Information Systems (GIS) |
title_sort |
estimating and mapping the incidence of dengue and chikungunya in honduras during 2015 using geographic information systems (gis) |
publisher |
Elsevier |
series |
Journal of Infection and Public Health |
issn |
1876-0341 |
publishDate |
2017-07-01 |
description |
Summary: Geographical 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®. 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-taking for prevention and control of diseases that still represents significant issues in the region and the country, but also in emerging conditions. Keywords: Dengue, Chikungunya, Arboviruses, Infectious diseases epidemiology, Honduras |
url |
http://www.sciencedirect.com/science/article/pii/S187603411630123X |
work_keys_str_mv |
AT lysienizambrano estimatingandmappingtheincidenceofdengueandchikungunyainhondurasduring2015usinggeographicinformationsystemsgis AT manuelsierra estimatingandmappingtheincidenceofdengueandchikungunyainhondurasduring2015usinggeographicinformationsystemsgis AT bredylara estimatingandmappingtheincidenceofdengueandchikungunyainhondurasduring2015usinggeographicinformationsystemsgis AT ivanrodrigueznunez estimatingandmappingtheincidenceofdengueandchikungunyainhondurasduring2015usinggeographicinformationsystemsgis AT marcotmedina estimatingandmappingtheincidenceofdengueandchikungunyainhondurasduring2015usinggeographicinformationsystemsgis AT carlosolozadariascos estimatingandmappingtheincidenceofdengueandchikungunyainhondurasduring2015usinggeographicinformationsystemsgis AT alfonsojrodriguezmorales estimatingandmappingtheincidenceofdengueandchikungunyainhondurasduring2015usinggeographicinformationsystemsgis |
_version_ |
1726007565888782336 |