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Surveillance of Dengue Fever Virus: A Review of Epidemiological Models and Early Warning Systems

Dengue fever affects over a 100 million people annually hence is one of the world's most important vector-borne diseases. The transmission area of this disease continues to expand due to many direct and indirect factors linked to urban sprawl, increased travel and global warming. Current preven...

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Detalles Bibliográficos
Autores principales: Racloz, Vanessa, Ramsey, Rebecca, Tong, Shilu, Hu, Wenbiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3358322/
https://www.ncbi.nlm.nih.gov/pubmed/22629476
http://dx.doi.org/10.1371/journal.pntd.0001648
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author Racloz, Vanessa
Ramsey, Rebecca
Tong, Shilu
Hu, Wenbiao
author_facet Racloz, Vanessa
Ramsey, Rebecca
Tong, Shilu
Hu, Wenbiao
author_sort Racloz, Vanessa
collection PubMed
description Dengue fever affects over a 100 million people annually hence is one of the world's most important vector-borne diseases. The transmission area of this disease continues to expand due to many direct and indirect factors linked to urban sprawl, increased travel and global warming. Current preventative measures include mosquito control programs, yet due to the complex nature of the disease and the increased importation risk along with the lack of efficient prophylactic measures, successful disease control and elimination is not realistic in the foreseeable future. Epidemiological models attempt to predict future outbreaks using information on the risk factors of the disease. Through a systematic literature review, this paper aims at analyzing the different modeling methods and their outputs in terms of acting as an early warning system. We found that many previous studies have not sufficiently accounted for the spatio-temporal features of the disease in the modeling process. Yet with advances in technology, the ability to incorporate such information as well as the socio-environmental aspect allowed for its use as an early warning system, albeit limited geographically to a local scale.
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spelling pubmed-33583222012-05-24 Surveillance of Dengue Fever Virus: A Review of Epidemiological Models and Early Warning Systems Racloz, Vanessa Ramsey, Rebecca Tong, Shilu Hu, Wenbiao PLoS Negl Trop Dis Research Article Dengue fever affects over a 100 million people annually hence is one of the world's most important vector-borne diseases. The transmission area of this disease continues to expand due to many direct and indirect factors linked to urban sprawl, increased travel and global warming. Current preventative measures include mosquito control programs, yet due to the complex nature of the disease and the increased importation risk along with the lack of efficient prophylactic measures, successful disease control and elimination is not realistic in the foreseeable future. Epidemiological models attempt to predict future outbreaks using information on the risk factors of the disease. Through a systematic literature review, this paper aims at analyzing the different modeling methods and their outputs in terms of acting as an early warning system. We found that many previous studies have not sufficiently accounted for the spatio-temporal features of the disease in the modeling process. Yet with advances in technology, the ability to incorporate such information as well as the socio-environmental aspect allowed for its use as an early warning system, albeit limited geographically to a local scale. Public Library of Science 2012-05-22 /pmc/articles/PMC3358322/ /pubmed/22629476 http://dx.doi.org/10.1371/journal.pntd.0001648 Text en Racloz et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Racloz, Vanessa
Ramsey, Rebecca
Tong, Shilu
Hu, Wenbiao
Surveillance of Dengue Fever Virus: A Review of Epidemiological Models and Early Warning Systems
title Surveillance of Dengue Fever Virus: A Review of Epidemiological Models and Early Warning Systems
title_full Surveillance of Dengue Fever Virus: A Review of Epidemiological Models and Early Warning Systems
title_fullStr Surveillance of Dengue Fever Virus: A Review of Epidemiological Models and Early Warning Systems
title_full_unstemmed Surveillance of Dengue Fever Virus: A Review of Epidemiological Models and Early Warning Systems
title_short Surveillance of Dengue Fever Virus: A Review of Epidemiological Models and Early Warning Systems
title_sort surveillance of dengue fever virus: a review of epidemiological models and early warning systems
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3358322/
https://www.ncbi.nlm.nih.gov/pubmed/22629476
http://dx.doi.org/10.1371/journal.pntd.0001648
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