The geography of Ross River virus infection in South Australia, 2000-2013

Authors

  • Jingwen Liu School of Public Health, University of Adelaide, South Australia
  • Alana Hansen School of Public Health, University of Adelaide, South Australia
  • Scott Cameron School of Public Health, University of Adelaide, South Australia
  • Peng Bi School of Public Health, University of Adelaide, South Australia

DOI:

https://doi.org/10.33321/cdi.2020.44.39

Keywords:

Ross River virus, geography, epidemiology, South Australia

Abstract

Introduction

Ross River virus (RRV) disease is Australia’s most common arthropod-borne disease which has an important impact on population health and productivity. The aim of this study was to identify the spatial and temporal distribution of RRV notifications during 2000–2013 in South Australia (SA).

Methods

The epidemiologic patterns of RRV notifications in SA from January 2000 to December 2013 were examined at a statistical local area (SLA) level. Spatial-temporal analyses were conducted using patient-reported place of exposure to characterise the recurrence of RRV infection stratified by age and sex.

Results

During the study period, a total of 3,687 RRV disease notifications were recorded in the state with state-wide mean annual rates of 16.8 cases per 100,000 persons and a 1:1.32 male:female ratio. The SLAs reporting cases of RRV disease exhibited spatial and temporal variation. Notified cases of RRV disease occurred more frequently in summer and autumn. A geographic expansion was observed of the area within which RRV cases occur. The comparison of age- and sex-standardised incidence rates, calculated by place of residence and patient-reported place of exposure, highlights the importance of using the latter to accurately display geospatial disease trends over time. Areas with the largest proportion of visitor cases and having the highest risk were mostly along the River Murray, which provides many vector mosquito habitats.

Conclusion

Although public health interventions should be considered in all SLAs where RRV occurs, we suggest that priority should be given to the Riverland areas identified as highest risk.

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References

National Notifiable Diseases Surveillance System. [Internet.] Canberra: Australian Government Department of Health; 2018. Available from: http://www9.health.gov.au/cda/source/rpt_4.cfm.

Harley D, Sleigh A, Ritchie S. Ross River virus transmission, infection, and disease: a cross-disciplinary review. Clin Microbiol Rev. 2001;14(4):909–32.

Russell RC. Vectors vs. humans in Australia--who is on top down under? An update on vector-borne disease and research on vectors in Australia. J Vector Ecol. 1998;23(1):1–46.

Russell RC. Ross River virus: ecology and distribution. Annu Rev Entomol. 2002;47:1–31.

Stephenson EB, Peel AJ, Reid SA, Jansen CC, McCallum H. The non-human reservoirs of Ross River virus: a systematic review of the evidence. Parasit Vectors. 2018;11(1):188.

Flies EJ, Flies AS, Fricker SR, Weinstein P, Williams CR. Regional comparison of mosquito bloodmeals in South Australia: implications for Ross River virus ecology. J Med Entomol. 2016;53(4):902–10.

Horwood CM, Bi P. The incidence of Ross River virus disease in South Australia, 1992 to 2003. Commun Dis Intell Q Rep. 2005;29(3):291–6.

Bi P, Hiller JE, Cameron AS, Zhang Y, Givney R. Climate variability and Ross River virus infections in Riverland, South Australia, 1992–2004. Epidemiol Infect. 2009;137(10):1486–93.

Flies EJ, Williams CR, Weinstein P, Anderson SJ. Improving public health intervention for mosquito-borne disease: the value of geovisualization using source of infection and LandScan data. Epidemiol Infect. 2016;144(14):3108–19.

Flies EJ, Weinstein P, Anderson SJ, Koolhof I, Foufopoulos J, Williams CR. Ross River virus and the necessity of multiscale, eco-epidemiological analyses. J Infect Dis. 2018;217(5):807–15.

Schoenbach VJ, Rosamond WD. Understanding the fundamentals of epidemiology: an evolving text. Second edition. Chapel Hill, North Carolina: University of North Carolina; 2000.

ESRI ArcGIS Pro. Version 2.1.0. Redlands: CA: Environmental Systems Research Institute; 2018.

Lee J, Wong D. Statistical Analysis with ArcView GIS. First edition. Wiley; 2000.

Anselin L, Syabri I, Kho Y. GeoDa: An introduction to spatial data analysis. Geogr Anal. 2006;38(1):15–22.

ArcGIS Pro: Modeling spatial relationships. [Internet]. Redlands, CA: Environmental Systems Research Institute. [Accessed 31 January 2020.] Available from: https://pro.arcgis.com/en/pro-app/tool-reference/spatial-statistics/modeling-spatial-relationships.htm#GUID-F6CB66DC-6B46-42BE-96C2-EEFF4BFC13D9

Kelly-Hope LA, Purdie DM, Kay BH. Ross River virus disease in Australia, 1886–1998, with analysis of risk factors associated with outbreaks. J Med Entomol. 2004;41(2):133–50.

Selvey LA, Donnelly JA, Lindsay MD, Pottumarthy-Boddu S, D’Abrera VC, Smith DW. Ross River virus infection surveillance in the Greater Perth Metropolitan area – has there been an increase in cases in the winter months? Commun Dis Intell Q Rep. 2014;38(2):E115–22.

Williams CR, Fricker SR, Kokkinn MJ. Environmental and entomological factors determining Ross River virus activity in the River Murray Valley of South Australia. Aust N Z J Public Health. 2009;33(3):284–8.

Weinstein P. An ecological approach to public health intervention: Ross River virus in Australia. Environ Health Perspect. 1997;105(4):364–6.

Dhileepan K. Mosquito seasonality and arboviral disease incidence in Murray Valley, southeast Australia. Med Vet Entomol. 1996;10(4):375–84.

Yu W, Mengersen K, Dale P, Mackenzie JS, Toloo GS, Wang X et al. Epidemiologic patterns of Ross River virus disease in Queensland, Australia, 2001–2011. Am J Trop Med Hyg. 2014;91(1):109–18.

Gatton ML, Kelly-Hope LA, Kay BH, Ryan PA. Spatial-temporal analysis of Ross River virus disease patterns in Queensland, Australia. Am J Trop Med Hyg. 2004;71(5):629–35.

Lindsay S, Ansell J, Selman C, Cox V, Hamilton K, Walraven G. Effect of pregnancy on exposure to malaria mosquitoes. Lancet. 2000;355(9219):1972.

Ek S. Gender differences in health information behaviour: a Finnish population-based survey. Health Promot Int. 2015;30(3):736–45.

Naish S, Hu W, Mengersen K, Tong S. Spatio-temporal patterns of Barmah Forest virus disease in Queensland, Australia. PLoS One. 2011;6(10):e25688.

Walsh MG, Webb C. Hydrological features and the ecological niches of mammalian hosts delineate elevated risk for Ross River virus epidemics in anthropogenic landscapes in Australia. Parasit Vectors. 2018; 11(1):192.

Hu W, Tong S, Mengersen K, Oldenburg B. Exploratory spatial analysis of social and environmental factors associated with the incidence of Ross River virus in Brisbane, Australia. Am J Trop Med Hyg. 2007;76(5):814–9.

Tong S, Bi P, Hayes J, Donald K, Mackenzie J. Geographic variation of notified Ross River virus infections in Queensland, Australia, 1985–1996. Am J Trop Med Hyg. 2001;65(3):171–6.

Farmer JF, Suhrbier A. Interpreting paired serology for Ross River virus and Barmah Forest virus diseases. Aust J Gen Pract. 2019;48(9):645–49

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Published

18/05/20

How to Cite

Liu, Jingwen, Alana Hansen, Scott Cameron, and Peng Bi. 2020. “The Geography of Ross River Virus Infection in South Australia, 2000-2013 ”. Communicable Diseases Intelligence 44 (May). https://doi.org/10.33321/cdi.2020.44.39.

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