ProCite
RefWorks
Reference Manager
BibTeX
Zotero
EndNote
-
1.
Russell R, 1998. Vectors versus humans in Australia–who is on top down under? An update on vector-borne disease and research on vectors in Australia. J Vector Ecol 23: 1–46.
-
2.
Mackenzie J, Lindsay M, Coelen R, Broom A, Hall R, Smith D, 1994. Arboviruses causing human disease in the Australasian zoogeographic region. Arch Virol 136: 447–467.
-
3.
Russell R, 1995. Arboviruses and their vectors in Australia: an update on the ecology and epidemiology of some mosquito-borne arboviruses. Med Vet Entomol 83: 141–158.
-
4.
Australian Department of Health and Aged Care, 2008. National Notifiable Diseases Surveillance System. Available at: http://www9.health.gov.au/cda/Source/CDA-index.cfm. Accessed July 31, 2009.
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5.
Curran M, Harvey B, Crerar S, Oliver G, D'souza R, Myint H, Rann C, Andrews R, 1997. Australia's notifiable disease status, 1996. Annual report of the national notifiable disease surveillance system. Commun Dis Intell 21: 281–307.
-
6.
Best N, Richardson S, Thomson A, 2005. A comparison of Bayesian spatial models for disease mapping. Stat Methods Med Res 14: 35–39.
-
7.
Mabaso M, Vounatsou P, Midzi S, Silva J, Smith T, 2006. Spatio-temporal analysis of the role of climate in inter-annual variation of malaria incidence in Zimbabwe. Int J Health Geogr 5: 20.
-
8.
Escaramis G, Carrasco J, Ascaso C, 2007. Detection of significant disease risks using a spatial conditional autoregressive model. Biometrics 64: 1043–1053.
-
9.
Yang G, Vounatsou P, Zhou X, Tanner M, Utzinger J, 2005. A Bayesian-based approach for spatio-temporal modeling of county level prevalence of Schistosoma japonicum infection in Jiangsu province, China. Int J Parasitol 35: 155–162.
-
10.
Clements A, Lwambo N, Blair L, Nyandindi U, Kaatano G, Kinung'hi S, Webster J, Fenwick A, Brooker S, 2006. Bayesian spatial analysis and disease mapping: tools to enhance planning and implementation of a schistosomiasis control programme in Tanzania. Trop Med Int Health 11: 490–503.
-
11.
Hu W, Nicholls N, Lindsay M, Dale P, McMichael A, Mackenzie J, Tong S, 2004. Development of a predictive model for Ross River virus disease in Brisbane, Australia. Am J Trop Med Hyg 71: 129–137.
-
12.
Hu W, Tong S, Mengersen K, Oldenburg B, 2006. Rainfall, mosquito density and transmission of Ross River virus: a time-series forecasting model. Ecol Modell 196: 505–514.
-
13.
Tong S, Bi P, Donald K, McMichael A, 2002. Climate variability and Ross River virus transmission. J Epidemiol Community Health 56: 617–621.
-
14.
Tong S, Hu W, McMichael A, 2004. Climate variability and Ross River virus transmission in Townsville region, Australia, 1985–1996. Trop Med Int Health 9: 298–304.
-
15.
Tong S, Hu W, Nicholls N, Dale P, Mackenzie J, Patz J, McMichael A, 2005. Climatic, high tide and vector variables and the transmission of Ross River virus. Intern Med J 35: 677–680.
-
16.
Tong S, Hu W, 2001. Climate variation and incidence of Ross River virus in Cairns, Australia: a time series analysis. Environ Health Perspect 109: 1271–1273.
-
17.
Tong S, Bi P, Parton K, Hobbs J, McMichael A, 1998. Climate variability and transmission of epidemic polyarthritis. Lancet 351: 1100.
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18.
Rich G, McKechnie J, McPhan I, Richards B, 1993. Laboratory diagnosis of Ross River virus infection. Commun Dis Intell 17: 103–107.
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19.
MapInfo Corporation, 2003. MapInfo professional software 7.0, New York.
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20.
Lawson A, Browne W, Vidal Rodeiro C, 2003. Disease Mapping with WinBUGS and MLwiN. England: John Wiley & Sons, Ltd.
-
21.
WinBUGs, 2008. MRC Biostatistics Unit, Cambridge, UK. London, UK: Imperial College.
-
22.
Chatterjee S, Hadi A, 2006. Regression Analysis by Example. Hoboken, NJ: John Wiley & Sons, Inc.
-
23.
Liehne P, 1998. Climatic Influences on Mosquito-borne Diseases in Australia. Australia: CSIRO.
-
24.
McMichael A, Haines A, Kovats R, Slooff R, 1996. Climate Changes and Human Health. Geneva: WHO.
-
25.
McManus T, Russell R, Wells P, Clancy J, Fennell M, Cloonan M, 1992. Further studies on the epidemiology and effects of Ross River virus in Tasmania. Arbovirus Res Aust 6: 68–72.
-
26.
Lindsay M, Mackenzie J, Condon R, 1993. Ross River virus outbreaks in western Australia: epidemiological aspects and the role of environmental factors. Ewan C, ed. Health in the Greenhouse: The Medical and Environmental Health Effects of Global Climate Change. Canberra: AGPS, 85–100.
-
27.
Hu W, Tong S, Mengersen K, Oldenburg B, Dale P, 2006. Mosquito species (Diptera: Culicidae) and the transmission of Ross River virus in Brisbane, Australia. J Med Entomol 43: 375–381.
-
28.
Hu W, Tong S, Mengersen K, Oldenburg B, 2007. Exploratory spatial analysis of social and environmental factors associated with the incidence of Ross River virus in Brisbane, Australia. Am J Trop Med Hyg 76: 814–819.
-
29.
McCracken K, 2001. Into a SEIFA SES cul-de-sac? Aust N Z J Public Health 25: 305–306.
-
30.
Adhikari P, 2006. Socio-Economic Indexes for Areas: Introduction, Use and Future Directions. Canberra: Australian Bureau of Statistics, 1–37.
-
31.
Wilkinson D, McElroy H, Beilby J, Mott K, Price K, Morey S, Best J, 2003. Are socio-economically disadvantaged Australians making more or less use of the Enhanced Primary Care Medicare Benefit Schedule item numbers? Aust Health Rev 26: 43–49.
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32.
Anselin L, 2005. Exploring Spatial Data with GeoDa: A Workbook. Urbana, IL: University of Illinois.
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33.
Cohen JM, Wilson ML, Aiello AE, 2007. Analysis of social epidemiology research on infectious diseases: historical patterns and future opportunities. J Epidemiol Community Health 61: 1021–1027.
-
34.
Chaves LF, Cohen JM, Pascual M, Wilson ML, 2008. Social exclusion modifies climate and deforestation impacts on a vector-borne disease. PLoS Negl Trop Dis 2: e176.
-
35.
Tong S, Dale P, Nicholls N, Mackenzie J, Wolff R, McMichael A, 2008. Climate variability, social and environmental factors, and ross river virus transmission: research development and future research needs. Environ Health Perspect 116: 1591–1597.
-
36.
Tong S, Hu W, 2002. Different responses of Ross River virus to climate variability between coastline and inland cities in Queensland, Australia. Occup Environ Med 59: 739–744.
-
37.
Hu W, Tong S, Mengersen K, Oldenburg B, Dale P, 2005. Spatial and temporal patterns of Ross River virus in Brisbane, Australia. Arbovirus Res Aust 9: 128–136.
-
38.
Woodruff R, Guest C, Garner M, Becker N, Lindesay J, Carvan T, Ebi K, 2002. Predicting Ross River virus epidemics from regional weather data. Epidemiology 13: 384–393.
-
39.
Selden S, Cameron A, 1996. Changing epidemiology of Ross River virus disease in south Australia. Med J Aust 165: 313–317.
-
40.
Connor SJ, Thomson MC, Molyneux DH, 1999. Forecasting and prevention of epidemic malaria: new perspectives on an old problem. Parassitologia 41: 439–448.
-
41.
Chaves LF, Pascual M, 2007. Comparing models for early warning systems of neglected tropical diseases. PLoS Negl Trop Dis 1: e33.
| Past two years | Past Year | Past 30 Days | |
|---|---|---|---|
| Abstract Views | 1670 | 1590 | 52 |
| Full Text Views | 361 | 13 | 2 |
| PDF Downloads | 122 | 17 | 2 |
Bayesian Spatiotemporal Analysis of Socio-Ecologic Drivers of Ross River Virus Transmission in Queensland, Australia
Wenbiao Hu
Wenbiao Hu
School of Population Health, The University of Queensland, Queensland, Australia; Australian Centre for International and Tropical Health, Queensland Institute of Medical Research, Queensland, Australia; School of Public Health, Queensland University of Technology, Queensland, Australia; School of Mathematical Sciences, Queensland University of Technology, Queensland, Australia
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Archie Clements
Archie Clements
School of Population Health, The University of Queensland, Queensland, Australia; Australian Centre for International and Tropical Health, Queensland Institute of Medical Research, Queensland, Australia; School of Public Health, Queensland University of Technology, Queensland, Australia; School of Mathematical Sciences, Queensland University of Technology, Queensland, Australia
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Gail Williams
Gail Williams
School of Population Health, The University of Queensland, Queensland, Australia; Australian Centre for International and Tropical Health, Queensland Institute of Medical Research, Queensland, Australia; School of Public Health, Queensland University of Technology, Queensland, Australia; School of Mathematical Sciences, Queensland University of Technology, Queensland, Australia
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Shilu Tong
Shilu Tong
School of Population Health, The University of Queensland, Queensland, Australia; Australian Centre for International and Tropical Health, Queensland Institute of Medical Research, Queensland, Australia; School of Public Health, Queensland University of Technology, Queensland, Australia; School of Mathematical Sciences, Queensland University of Technology, Queensland, Australia
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Kerrie Mengersen
Kerrie Mengersen
School of Population Health, The University of Queensland, Queensland, Australia; Australian Centre for International and Tropical Health, Queensland Institute of Medical Research, Queensland, Australia; School of Public Health, Queensland University of Technology, Queensland, Australia; School of Mathematical Sciences, Queensland University of Technology, Queensland, Australia
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This study aims to examine the impact of socio-ecologic factors on the transmission of Ross River virus (RRV) infection and to identify areas prone to social and ecologic-driven epidemics in Queensland, Australia. We used a Bayesian spatiotemporal conditional autoregressive model to quantify the relationship between monthly variation of RRV incidence and socio-ecologic factors and to determine spatiotemporal patterns. Our results show that the average increase in monthly RRV incidence was 2.4% (95% credible interval (CrI): 0.1–4.5%) and 2.0% (95% CrI: 1.6–2.3%) for a 1°C increase in monthly average maximum temperature and a 10 mm increase in monthly average rainfall, respectively. A significant spatiotemporal variation and interactive effect between temperature and rainfall on RRV incidence were found. No association between Socio-economic Index for Areas (SEIFA) and RRV was observed. The transmission of RRV in Queensland, Australia appeared to be primarily driven by ecologic variables rather than social factors.
Author Notes
Financial support: National Health and Medical Research Council, Australia (no. 519788)
Authors' addresses: Wenbiao Hu and Gail Williams, School of Population Health, The University of Queensland, Queensland, Australia, E-mails: w.hu@sph.uq.edu.au and g.willims@sph.uq.edu.au. Archie Clements, School of Population Health, The University of Queensland, Queensland, Australia and Australian Centre for International and Tropical Health, Queensland Institute of Medical Research, Queensland, Australia, E-mail: a.clements@sph.uq.edu.au. Shilu Tong, School of Public Health, Queensland University of Technology, Queensland, Australia, E-mail: s.tong@qut.edu.au. Kerrie Mengersen, School of Mathematical Sciences, Queensland University of Technology, Queensland, Australia, E-mail: k.mengersen@qut.edu.au.
ProCite
RefWorks
Reference Manager
BibTeX
Zotero
EndNote
-
1.
Russell R, 1998. Vectors versus humans in Australia–who is on top down under? An update on vector-borne disease and research on vectors in Australia. J Vector Ecol 23: 1–46.
-
2.
Mackenzie J, Lindsay M, Coelen R, Broom A, Hall R, Smith D, 1994. Arboviruses causing human disease in the Australasian zoogeographic region. Arch Virol 136: 447–467.
-
3.
Russell R, 1995. Arboviruses and their vectors in Australia: an update on the ecology and epidemiology of some mosquito-borne arboviruses. Med Vet Entomol 83: 141–158.
-
4.
Australian Department of Health and Aged Care, 2008. National Notifiable Diseases Surveillance System. Available at: http://www9.health.gov.au/cda/Source/CDA-index.cfm. Accessed July 31, 2009.
-
5.
Curran M, Harvey B, Crerar S, Oliver G, D'souza R, Myint H, Rann C, Andrews R, 1997. Australia's notifiable disease status, 1996. Annual report of the national notifiable disease surveillance system. Commun Dis Intell 21: 281–307.
-
6.
Best N, Richardson S, Thomson A, 2005. A comparison of Bayesian spatial models for disease mapping. Stat Methods Med Res 14: 35–39.
-
7.
Mabaso M, Vounatsou P, Midzi S, Silva J, Smith T, 2006. Spatio-temporal analysis of the role of climate in inter-annual variation of malaria incidence in Zimbabwe. Int J Health Geogr 5: 20.
-
8.
Escaramis G, Carrasco J, Ascaso C, 2007. Detection of significant disease risks using a spatial conditional autoregressive model. Biometrics 64: 1043–1053.
-
9.
Yang G, Vounatsou P, Zhou X, Tanner M, Utzinger J, 2005. A Bayesian-based approach for spatio-temporal modeling of county level prevalence of Schistosoma japonicum infection in Jiangsu province, China. Int J Parasitol 35: 155–162.
-
10.
Clements A, Lwambo N, Blair L, Nyandindi U, Kaatano G, Kinung'hi S, Webster J, Fenwick A, Brooker S, 2006. Bayesian spatial analysis and disease mapping: tools to enhance planning and implementation of a schistosomiasis control programme in Tanzania. Trop Med Int Health 11: 490–503.
-
11.
Hu W, Nicholls N, Lindsay M, Dale P, McMichael A, Mackenzie J, Tong S, 2004. Development of a predictive model for Ross River virus disease in Brisbane, Australia. Am J Trop Med Hyg 71: 129–137.
-
12.
Hu W, Tong S, Mengersen K, Oldenburg B, 2006. Rainfall, mosquito density and transmission of Ross River virus: a time-series forecasting model. Ecol Modell 196: 505–514.
-
13.
Tong S, Bi P, Donald K, McMichael A, 2002. Climate variability and Ross River virus transmission. J Epidemiol Community Health 56: 617–621.
-
14.
Tong S, Hu W, McMichael A, 2004. Climate variability and Ross River virus transmission in Townsville region, Australia, 1985–1996. Trop Med Int Health 9: 298–304.
-
15.
Tong S, Hu W, Nicholls N, Dale P, Mackenzie J, Patz J, McMichael A, 2005. Climatic, high tide and vector variables and the transmission of Ross River virus. Intern Med J 35: 677–680.
-
16.
Tong S, Hu W, 2001. Climate variation and incidence of Ross River virus in Cairns, Australia: a time series analysis. Environ Health Perspect 109: 1271–1273.
-
17.
Tong S, Bi P, Parton K, Hobbs J, McMichael A, 1998. Climate variability and transmission of epidemic polyarthritis. Lancet 351: 1100.
-
18.
Rich G, McKechnie J, McPhan I, Richards B, 1993. Laboratory diagnosis of Ross River virus infection. Commun Dis Intell 17: 103–107.
-
19.
MapInfo Corporation, 2003. MapInfo professional software 7.0, New York.
-
20.
Lawson A, Browne W, Vidal Rodeiro C, 2003. Disease Mapping with WinBUGS and MLwiN. England: John Wiley & Sons, Ltd.
-
21.
WinBUGs, 2008. MRC Biostatistics Unit, Cambridge, UK. London, UK: Imperial College.
-
22.
Chatterjee S, Hadi A, 2006. Regression Analysis by Example. Hoboken, NJ: John Wiley & Sons, Inc.
-
23.
Liehne P, 1998. Climatic Influences on Mosquito-borne Diseases in Australia. Australia: CSIRO.
-
24.
McMichael A, Haines A, Kovats R, Slooff R, 1996. Climate Changes and Human Health. Geneva: WHO.
-
25.
McManus T, Russell R, Wells P, Clancy J, Fennell M, Cloonan M, 1992. Further studies on the epidemiology and effects of Ross River virus in Tasmania. Arbovirus Res Aust 6: 68–72.
-
26.
Lindsay M, Mackenzie J, Condon R, 1993. Ross River virus outbreaks in western Australia: epidemiological aspects and the role of environmental factors. Ewan C, ed. Health in the Greenhouse: The Medical and Environmental Health Effects of Global Climate Change. Canberra: AGPS, 85–100.
-
27.
Hu W, Tong S, Mengersen K, Oldenburg B, Dale P, 2006. Mosquito species (Diptera: Culicidae) and the transmission of Ross River virus in Brisbane, Australia. J Med Entomol 43: 375–381.
-
28.
Hu W, Tong S, Mengersen K, Oldenburg B, 2007. Exploratory spatial analysis of social and environmental factors associated with the incidence of Ross River virus in Brisbane, Australia. Am J Trop Med Hyg 76: 814–819.
-
29.
McCracken K, 2001. Into a SEIFA SES cul-de-sac? Aust N Z J Public Health 25: 305–306.
-
30.
Adhikari P, 2006. Socio-Economic Indexes for Areas: Introduction, Use and Future Directions. Canberra: Australian Bureau of Statistics, 1–37.
-
31.
Wilkinson D, McElroy H, Beilby J, Mott K, Price K, Morey S, Best J, 2003. Are socio-economically disadvantaged Australians making more or less use of the Enhanced Primary Care Medicare Benefit Schedule item numbers? Aust Health Rev 26: 43–49.
-
32.
Anselin L, 2005. Exploring Spatial Data with GeoDa: A Workbook. Urbana, IL: University of Illinois.
-
33.
Cohen JM, Wilson ML, Aiello AE, 2007. Analysis of social epidemiology research on infectious diseases: historical patterns and future opportunities. J Epidemiol Community Health 61: 1021–1027.
-
34.
Chaves LF, Cohen JM, Pascual M, Wilson ML, 2008. Social exclusion modifies climate and deforestation impacts on a vector-borne disease. PLoS Negl Trop Dis 2: e176.
-
35.
Tong S, Dale P, Nicholls N, Mackenzie J, Wolff R, McMichael A, 2008. Climate variability, social and environmental factors, and ross river virus transmission: research development and future research needs. Environ Health Perspect 116: 1591–1597.
-
36.
Tong S, Hu W, 2002. Different responses of Ross River virus to climate variability between coastline and inland cities in Queensland, Australia. Occup Environ Med 59: 739–744.
-
37.
Hu W, Tong S, Mengersen K, Oldenburg B, Dale P, 2005. Spatial and temporal patterns of Ross River virus in Brisbane, Australia. Arbovirus Res Aust 9: 128–136.
-
38.
Woodruff R, Guest C, Garner M, Becker N, Lindesay J, Carvan T, Ebi K, 2002. Predicting Ross River virus epidemics from regional weather data. Epidemiology 13: 384–393.
-
39.
Selden S, Cameron A, 1996. Changing epidemiology of Ross River virus disease in south Australia. Med J Aust 165: 313–317.
-
40.
Connor SJ, Thomson MC, Molyneux DH, 1999. Forecasting and prevention of epidemic malaria: new perspectives on an old problem. Parassitologia 41: 439–448.
-
41.
Chaves LF, Pascual M, 2007. Comparing models for early warning systems of neglected tropical diseases. PLoS Negl Trop Dis 1: e33.
| Past two years | Past Year | Past 30 Days | |
|---|---|---|---|
| Abstract Views | 1670 | 1590 | 52 |
| Full Text Views | 361 | 13 | 2 |
| PDF Downloads | 122 | 17 | 2 |