Climate change and dengue: a critical and systematic review of quantitative modelling approaches


Autoria(s): Naish, Suchithra; Dale, Pat; Mackenzie, John S; McBride, John; Mengersen, Kerrie; Tong, Shilu
Data(s)

2014

Resumo

Background Many studies have found associations between climatic conditions and dengue transmission. However, there is a debate about the future impacts of climate change on dengue transmission. This paper reviewed epidemiological evidence on the relationship between climate and dengue with a focus on quantitative methods for assessing the potential impacts of climate change on global dengue transmission. Methods A literature search was conducted in October 2012, using the electronic databases PubMed, Scopus, ScienceDirect, ProQuest, and Web of Science. The search focused on peer-reviewed journal articles published in English from January 1991 through October 2012. Results Sixteen studies met the inclusion criteria and most studies showed that the transmission of dengue is highly sensitive to climatic conditions, especially temperature, rainfall and relative humidity. Studies on the potential impacts of climate change on dengue indicate increased climatic suitability for transmission and an expansion of the geographic regions at risk during this century. A variety of quantitative modelling approaches were used in the studies. Several key methodological issues and current knowledge gaps were identified through this review. Conclusions It is important to assemble spatio-temporal patterns of dengue transmission compatible with long-term data on climate and other socio-ecological changes and this would advance projections of dengue risks associated with climate change. Keywords: Climate; Dengue; Models; Projection; Scenarios

Identificador

http://eprints.qut.edu.au/70171/

Publicador

BioMed Central

Relação

DOI:10.1186/1471-2334-14-167

Naish, Suchithra, Dale, Pat, Mackenzie, John S, McBride, John, Mengersen, Kerrie, & Tong, Shilu (2014) Climate change and dengue: a critical and systematic review of quantitative modelling approaches. BMC Infectious Diseases, 14(1), p. 167.

http://purl.org/au-research/grants/ARC/DP110100651

Direitos

The authors

Fonte

Faculty of Health; Institute of Health and Biomedical Innovation; School of Mathematical Sciences; Science & Engineering Faculty; School of Public Health & Social Work

Palavras-Chave #110000 MEDICAL AND HEALTH SCIENCES #Climate, Dengue, Models, Projection, Scenarios
Tipo

Journal Article