Literature DB >> 17488897

Exploratory spatial analysis of social and environmental factors associated with the incidence of Ross River virus in Brisbane, Australia.

Wenbiao Hu1, Shilu Tong, Kerrie Mengersen, Brian Oldenburg.   

Abstract

We used geographic information systems and a spatial analysis approach to explore the pattern of Ross River virus (RRV) incidence in Brisbane, Australia. Climate, vegetation and socioeconomic data in 2001 were obtained from the Australian Bureau of Meteorology, the Brisbane City Council and the Australian Bureau of Statistics, respectively. Information on the RRV cases was obtained from the Queensland Department of Health. Spatial and multiple negative binomial regression models were used to identify the socioeconomic and environmental determinants of RRV transmission. The results show that RRV activity was primarily concentrated in the northeastern, northwestern, and southeastern regions in Brisbane. Multiple negative binomial regression models showed that the spatial pattern of RRV disease in Brisbane seemed to be determined by a combination of local ecologic, socioeconomic, and environmental factors.

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Year:  2007        PMID: 17488897

Source DB:  PubMed          Journal:  Am J Trop Med Hyg        ISSN: 0002-9637            Impact factor:   2.345


  12 in total

1.  Bayesian spatiotemporal analysis of socio-ecologic drivers of Ross River virus transmission in Queensland, Australia.

Authors:  Wenbiao Hu; Archie Clements; Gail Williams; Shilu Tong; Kerrie Mengersen
Journal:  Am J Trop Med Hyg       Date:  2010-09       Impact factor: 2.345

2.  Linking mosquito infestation to resident socioeconomic status, knowledge, and source reduction practices in suburban Washington, DC.

Authors:  Zara Dowling; Peter Armbruster; Shannon L LaDeau; Mark DeCotiis; Jihana Mottley; Paul T Leisnham
Journal:  Ecohealth       Date:  2013-02-02       Impact factor: 3.184

3.  Spatio-temporal patterns of Barmah Forest virus disease in Queensland, Australia.

Authors:  Suchithra Naish; Wenbiao Hu; Kerrie Mengersen; Shilu Tong
Journal:  PLoS One       Date:  2011-10-13       Impact factor: 3.240

Review 4.  Projecting the impact of climate change on the transmission of Ross River virus: methodological challenges and research needs.

Authors:  W Yu; P Dale; L Turner; S Tong
Journal:  Epidemiol Infect       Date:  2014-03-10       Impact factor: 4.434

5.  Epidemiologic patterns of Ross River virus disease in Queensland, Australia, 2001-2011.

Authors:  Weiwei Yu; Kerrie Mengersen; Pat Dale; John S Mackenzie; Ghasem Sam Toloo; Xiaoyu Wang; Shilu Tong
Journal:  Am J Trop Med Hyg       Date:  2014-05-05       Impact factor: 2.345

6.  Effectiveness of Print Education at Reducing Urban Mosquito Infestation through Improved Resident-Based Management.

Authors:  Danielle Bodner; Shannon L LaDeau; Dawn Biehler; Nicole Kirchoff; Paul T Leisnham
Journal:  PLoS One       Date:  2016-05-12       Impact factor: 3.240

7.  Risk factor analysis and spatiotemporal CART model of cryptosporidiosis in Queensland, Australia.

Authors:  Wenbiao Hu; Kerrie Mengersen; Shilu Tong
Journal:  BMC Infect Dis       Date:  2010-10-28       Impact factor: 3.090

8.  Spatial and temporal variation and hotspot detection of kala-azar disease in Vaishali district (Bihar), India.

Authors:  Gouri Sankar Bhunia; Shreekant Kesari; Nandini Chatterjee; Vijay Kumar; Pradeep Das
Journal:  BMC Infect Dis       Date:  2013-02-02       Impact factor: 3.090

9.  Improving public health intervention for mosquito-borne disease: the value of geovisualization using source of infection and LandScan data.

Authors:  E J Flies; C R Williams; P Weinstein; S J Anderson
Journal:  Epidemiol Infect       Date:  2016-06-23       Impact factor: 4.434

Review 10.  Climate variability, social and environmental factors, and ross river virus transmission: research development and future research needs.

Authors:  Shilu Tong; Pat Dale; Neville Nicholls; John S Mackenzie; Rodney Wolff; Anthony J McMichael
Journal:  Environ Health Perspect       Date:  2008-07-24       Impact factor: 9.031

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