Spatial patterns and socioecological drivers of dengue fever transmission in Queensland, Australia
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Hu, Wenbiao; Williams, Gail; Tong, Shi-Lu; Mengersen, Kerrie; Clements, Archie
Description
Background: Understanding how socioecological factors affect the transmission of dengue fever (DF) may help to develop an early warning system of DF. Objectives: We examined the impact of socioecological factors on the transmission of DF and assessed potential predictors of locally acquired and overseas-acquired cases of DF in Queensland, Australia. Methods: We obtained data from Queensland Health on the numbers of notified DF cases by local government area (LGA) in Queensland for the period 1...[Show more]
dc.contributor.author | Hu, Wenbiao | |
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dc.contributor.author | Williams, Gail | |
dc.contributor.author | Tong, Shi-Lu | |
dc.contributor.author | Mengersen, Kerrie | |
dc.contributor.author | Clements, Archie | |
dc.date.accessioned | 2018-11-29T22:54:06Z | |
dc.date.available | 2018-11-29T22:54:06Z | |
dc.identifier.issn | 0091-6765 | |
dc.identifier.uri | http://hdl.handle.net/1885/152670 | |
dc.description.abstract | Background: Understanding how socioecological factors affect the transmission of dengue fever (DF) may help to develop an early warning system of DF. Objectives: We examined the impact of socioecological factors on the transmission of DF and assessed potential predictors of locally acquired and overseas-acquired cases of DF in Queensland, Australia. Methods: We obtained data from Queensland Health on the numbers of notified DF cases by local government area (LGA) in Queensland for the period 1 January 2002 through 31 December 2005. Data on weather and the socioeconomic index were obtained from the Australian Bureau of Meteorology and the Australian Bureau of Statistics, respectively. A Bayesian spatial conditional autoregressive model was fitted at the LGA level to quantify the relationship between DF and socioecological factors. Results: Our estimates suggest an increase in locally acquired DF of 6% [95% credible interval (CI): 2%, 11%] and 61% (95% CI: 2%, 241%) in association with a 1-mm increase in average monthly rainfall and a 1°C increase in average monthly maximum temperature between 2002 and 2005, respectively. By contrast, overseas-acquired DF cases increased by 1% (95% CI: 0%, 3%) and by 1% (95% CI: 0%, 2%) in association with a 1-mm increase in average monthly rainfall and a 1-unit increase in average socioeconomic index, respectively. Conclusions: Socioecological factors appear to influence the transmission of DF in Queensland, but the drivers of locally acquired and overseas-acquired DF may differ. DF risk is spatially clustered with different patterns for locally acquired and overseas-acquired cases. | |
dc.format.mimetype | application/pdf | |
dc.publisher | National Institute of Environmental Sciences | |
dc.source | Environmental Health Perspectives | |
dc.subject | Keywords: rain; article; Australia; Bayesian spatial conditional autoregressive model; dengue; environmental factor; environmental temperature; geographic distribution; human; import disease; infection risk; number of overseas visitors; population and population re Bayesian spatial analysis; Dengue; Socioecological factors. environ health | |
dc.title | Spatial patterns and socioecological drivers of dengue fever transmission in Queensland, Australia | |
dc.type | Journal article | |
local.description.notes | Imported from ARIES | |
local.identifier.citationvolume | 120 | |
dc.date.issued | 2012 | |
local.identifier.absfor | 111706 - Epidemiology | |
local.identifier.ariespublication | U3488905xPUB4080 | |
local.type.status | Published Version | |
local.contributor.affiliation | Hu, Wenbiao, University of Queensland | |
local.contributor.affiliation | Clements, Archie, College of Health and Medicine, ANU | |
local.contributor.affiliation | Williams, Gail, University of Queensland | |
local.contributor.affiliation | Tong, Shi-Lu, Queensland University of Technology | |
local.contributor.affiliation | Mengersen, Kerrie, Queensland University of Technology | |
local.bibliographicCitation.issue | 2 | |
local.bibliographicCitation.startpage | 260 | |
local.bibliographicCitation.lastpage | 266 | |
local.identifier.doi | 10.1289/ehp.1003270 | |
dc.date.updated | 2018-11-29T07:57:35Z | |
local.identifier.scopusID | 2-s2.0-84856703481 | |
local.identifier.thomsonID | 000299915400031 | |
dcterms.accessRights | Open Access | |
Collections | ANU Research Publications |
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01_Hu_Spatial_patterns_and_2012.pdf | 3.46 MB | Adobe PDF |
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