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The spatiotemporal trajectory of a dengue epidemic in a medium-sized city
Understanding the transmission dynamics of infectious diseases is important to allow for improvements of control measures. To investigate the spatiotemporal pattern of an epidemic dengue occurred at a medium-sized city in the Northeast Region of Brazil in 2009, we conducted an ecological study of th...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Instituto Oswaldo Cruz, Ministério da Saúde
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4501417/ https://www.ncbi.nlm.nih.gov/pubmed/26061236 http://dx.doi.org/10.1590/0074-0276140388 |
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author | Morato, Daniela G Barreto, Florisneide R Braga, José U Natividade, Marcio S Costa, Maria da Conceição N Morato, Vanessa Teixeira, Maria da Glória Lima Cruz |
author_facet | Morato, Daniela G Barreto, Florisneide R Braga, José U Natividade, Marcio S Costa, Maria da Conceição N Morato, Vanessa Teixeira, Maria da Glória Lima Cruz |
author_sort | Morato, Daniela G |
collection | PubMed |
description | Understanding the transmission dynamics of infectious diseases is important to allow for improvements of control measures. To investigate the spatiotemporal pattern of an epidemic dengue occurred at a medium-sized city in the Northeast Region of Brazil in 2009, we conducted an ecological study of the notified dengue cases georeferenced according to epidemiological week (EW) and home address. Kernel density estimation and space-time interaction were analysed using the Knox method. The evolution of the epidemic was analysed using an animated projection technique. The dengue incidence was 6.918.7/100,000 inhabitants; the peak of the epidemic occurred from 8 February-1 March, EWs 6-9 (828.7/100,000 inhabitants). There were cases throughout the city and was identified space-time interaction. Three epicenters were responsible for spreading the disease in an expansion and relocation diffusion pattern. If the health services could detect in real time the epicenters and apply nimbly control measures, may possibly reduce the magnitude of dengue epidemics. |
format | Online Article Text |
id | pubmed-4501417 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Instituto Oswaldo Cruz, Ministério da Saúde |
record_format | MEDLINE/PubMed |
spelling | pubmed-45014172015-07-16 The spatiotemporal trajectory of a dengue epidemic in a medium-sized city Morato, Daniela G Barreto, Florisneide R Braga, José U Natividade, Marcio S Costa, Maria da Conceição N Morato, Vanessa Teixeira, Maria da Glória Lima Cruz Mem Inst Oswaldo Cruz Articles Understanding the transmission dynamics of infectious diseases is important to allow for improvements of control measures. To investigate the spatiotemporal pattern of an epidemic dengue occurred at a medium-sized city in the Northeast Region of Brazil in 2009, we conducted an ecological study of the notified dengue cases georeferenced according to epidemiological week (EW) and home address. Kernel density estimation and space-time interaction were analysed using the Knox method. The evolution of the epidemic was analysed using an animated projection technique. The dengue incidence was 6.918.7/100,000 inhabitants; the peak of the epidemic occurred from 8 February-1 March, EWs 6-9 (828.7/100,000 inhabitants). There were cases throughout the city and was identified space-time interaction. Three epicenters were responsible for spreading the disease in an expansion and relocation diffusion pattern. If the health services could detect in real time the epicenters and apply nimbly control measures, may possibly reduce the magnitude of dengue epidemics. Instituto Oswaldo Cruz, Ministério da Saúde 2015-06 /pmc/articles/PMC4501417/ /pubmed/26061236 http://dx.doi.org/10.1590/0074-0276140388 Text en http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Morato, Daniela G Barreto, Florisneide R Braga, José U Natividade, Marcio S Costa, Maria da Conceição N Morato, Vanessa Teixeira, Maria da Glória Lima Cruz The spatiotemporal trajectory of a dengue epidemic in a medium-sized city |
title | The spatiotemporal trajectory of a dengue epidemic in a medium-sized
city |
title_full | The spatiotemporal trajectory of a dengue epidemic in a medium-sized
city |
title_fullStr | The spatiotemporal trajectory of a dengue epidemic in a medium-sized
city |
title_full_unstemmed | The spatiotemporal trajectory of a dengue epidemic in a medium-sized
city |
title_short | The spatiotemporal trajectory of a dengue epidemic in a medium-sized
city |
title_sort | spatiotemporal trajectory of a dengue epidemic in a medium-sized
city |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4501417/ https://www.ncbi.nlm.nih.gov/pubmed/26061236 http://dx.doi.org/10.1590/0074-0276140388 |
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