2013
DOI: 10.4269/ajtmh.2012.11-0451
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Weather-Driven Variation in Dengue Activity in Australia Examined Using a Process-Based Modeling Approach

Abstract: Abstract. The impact of weather variation on dengue transmission in Cairns, Australia, was determined by applying a process-based dengue simulation model (DENSiM) that incorporated local meteorologic, entomologic, and demographic data. Analysis showed that inter-annual weather variation is one of the significant determinants of dengue outbreak receptivity. Cross-correlation analyses showed that DENSiM simulated epidemics of similar relative magnitude and timing to those historically recorded in reported dengue… Show more

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Cited by 29 publications
(30 citation statements)
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“…Several model-based studies have focused on relationships between climate and dengue, highlighting the utility of these approaches (Bannister-Tyrrell et al 2013; Focks et al 1993; Hales et al 2002; Hopp and Foley 2001; Martens et al 1997; Patz et al 1998). Such models are useful tools given the lack of long-term mosquito population records (Morin and Comrie 2010).…”
Section: Introductionmentioning
confidence: 99%
“…Several model-based studies have focused on relationships between climate and dengue, highlighting the utility of these approaches (Bannister-Tyrrell et al 2013; Focks et al 1993; Hales et al 2002; Hopp and Foley 2001; Martens et al 1997; Patz et al 1998). Such models are useful tools given the lack of long-term mosquito population records (Morin and Comrie 2010).…”
Section: Introductionmentioning
confidence: 99%
“…Both CIMSiM and DENSiM have been validated for mosquito productivity [21] and dengue incidence [15].…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, there is an ongoing debate on the relative importance of climate variability and socioecological factors on dengue transmission [5,15,17,18]. For example, some argue that climate is the major driver [27][28][29], whereas others suggest that socioecological factors play a key role on dengue transmission [30][31][32]. Hence, there is no conclusive evidence on the joint effects of climate variability and socioecological factors.…”
Section: Introductionmentioning
confidence: 99%