QUT ePrints

Surveillance of dengue fever virus: a review of epidemiological models and early warning systems

Racloz, Vanessa, Ramsey, Rebecca, Tong, Shilu, & Hu, Wenbiao (2012) Surveillance of dengue fever virus: a review of epidemiological models and early warning systems. PLOS Neglected Tropical Diseases, 6(5), e1648.

View at publisher (open access)

Abstract

Dengue fever is one of the world’s most important vector-borne diseases. The transmission area of this disease continues to expand due to many factors including urban sprawl, increased travel and global warming. Current preventative techniques are primarily based on controlling mosquito vectors as other prophylactic measures, such as a tetravalent vaccine are unlikely to be available in the foreseeable future. However, the continually increasing dengue incidence suggests that this strategy alone is not sufficient. 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 accurately predicting disease outbreaks. 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.

Impact and interest:

15 citations in Scopus
Search Google Scholar™
14 citations in Web of Science®

Citation countsare sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

159 since deposited on 26 Nov 2012
61 in the past twelve months

Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 55124
Item Type: Journal Article
Keywords: dengue fever, modelling, risk factors, early warning, climate change
DOI: 10.1371/journal.pntd.0001648
ISSN: 1935-2735
Subjects: Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000) > PUBLIC HEALTH AND HEALTH SERVICES (111700) > Health Information Systems (incl. Surveillance) (111711)
Divisions: Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Current > Schools > School of Exercise & Nutrition Sciences
Current > Schools > School of Public Health & Social Work
Copyright Owner: Copyright 2012 Racloz et al.
Deposited On: 27 Nov 2012 09:29
Last Modified: 28 Nov 2012 16:57

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page