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.
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.
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|Item Type:||Journal Article|
|Keywords:||dengue fever, modelling, risk factors, early warning, climate change|
|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:||26 Nov 2012 23:29|
|Last Modified:||28 Nov 2012 06:57|
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