The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.
Climate change and dengue: a critical and systematic review of quantitative modelling approaches
Open accessAbstract
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.
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Cites
A Practical Guide to Wavelet Analysis
Torrence, C., & Compo, G. P. (1998) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477(1998)079<0061:apgtwa>2.0.co;2 · Cited by 14,890
Halstead, S. B. (2007) · The Lancet · doi:10.1016/s0140-6736(07)61687-0 · Cited by 1,287
Dengue, Urbanization and Globalization: The Unholy Trinity of the 21st Century
Gubler, D. J. (2011) · Tropical Medicine and Health · doi:10.2149/tmh.2011-s05 · Cited by 1,098
Hales, S., de Wet, N., Maindonald, J., & Woodward, A. (2002) · The Lancet · doi:10.1016/s0140-6736(02)09964-6 · Cited by 993
Effect of Temperature on the Vector Efficiency of Aedes aegypti for Dengue 2 Virus
Watts, D. M., Burke, D. S., Harrison, B. A., Whitmire, R. E., & Nisalak, A. (1987) · The American Journal of Tropical Medicine and Hygiene · doi:10.4269/ajtmh.1987.36.143 · Cited by 759
Global Climate Change and Emerging Infectious Diseases
Patz, J. A. (1996) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1996.03530270057032 · Cited by 757
Focks, D. A., Daniels, E., Haile, D. G., & Keesling, J. E. (1995) · The American Journal of Tropical Medicine and Hygiene · doi:10.4269/ajtmh.1995.53.489 · Cited by 473
Texas Lifestyle Limits Transmission of Dengue Virus
Reiter, P., Lathrop, S., Bunning, M., Biggerstaff, B., Singer, D., Tiwari, T., Baber, L., Amador, M., Thirion, J., Hayes, J., et al. (2003) · Emerging Infectious Diseases · doi:10.3201/eid0901.020220 · Cited by 402
Caminade, C., Medlock, J. M., Ducheyne, E., McIntyre, K. M., Leach, S., Baylis, M., & Morse, A. P. (2012) · Journal of The Royal Society Interface · doi:10.1098/rsif.2012.0138 · Cited by 376
Review of the Factors Modulating Dengue Transmission
Kuno, G. (1995) · Epidemiologic Reviews · doi:10.1093/oxfordjournals.epirev.a036196 · Cited by 348
Cited by
Kassebaum, N. J., Arora, M., Barber, R. M., Bhutta, Z. A., Brown, J., Carter, A., Casey, D. C., Charlson, F. J., Coates, M. M., Coggeshall, M., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(16)31460-x · Cited by 2,163
Health effects of climate change: an overview of systematic reviews
Rocque, R. J., Beaudoin, C., Ndjaboue, R., Cameron, L., Poirier-Bergeron, L., Poulin-Rheault, R.-A., Fallon, C., Tricco, A. C., & Witteman, H. O. (2021) · BMJ Open · doi:10.1136/bmjopen-2020-046333 · Cited by 932
Metadata
- Authors
- Naish, S., Dale, P., Mackenzie, J. S., McBride, J., Mengersen, K., & Tong, S.
- Venue
- BMC Infectious Diseases
- Published
- 2014-03-26
- Volume
- 14
- Issue
- 1
- Pages
- 167-167
- ISSN
- 1471-2334 (ISSN-L)
- OpenAlex
- W2031462067
- Cited by
- 386
- References
- 58
- FWCI
- 5.23
- Type
- journal article
- Language
- en
- Open access
- gold
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