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Author Notes:

amanda.murphy@qimrberghofer.edu.au

The authors would like to thank the Queensland Department of Health, Australia for making Ross River virus notification data available. We are grateful for additional assistance and input provided by Dr. Fiona May, and Dr. Jonathan Darbro of Metro North Public Health Unit, Dr. Eloise Skinner of Griffith University, and the knowledgeable staff from the mosquito management teams the local government councils of SEQ. In particular, we would like to thank Dr. Martin Shivas, Mr. Michael Onn and Mr. Mark Call for their helpful advice and support.

AM, WH, and GD conceived the project. AM carried out the analyses and drafted the manuscript, with input from JC, GVP, CJ, WH and GD. FF and LH aided interpretation. All authors reviewed and revised the final manuscript and agreed to its submission.

The authors declare that they have no competing interests.

Subjects:

Research Funding:

AM was supported by an Australian Postgraduate Award scholarship.

Keywords:

  • Arbovirus
  • Epidemic
  • Queensland
  • Ross River virus
  • Spatial
  • Urban
  • Adult
  • Alphavirus Infections
  • Female
  • Humans
  • Incidence
  • Male
  • Middle Aged
  • Queensland
  • Ross River virus
  • Rural Health
  • Urban Health

Spatial and temporal patterns of Ross River virus in south east Queensland, Australia: Identification of hot spots at the rural-urban interface

Journal Title:

BMC Infectious Diseases

Volume:

Volume 20, Number 1

Publisher:

, Pages 722-722

Type of Work:

Article | Final Publisher PDF

Abstract:

Background: Ross River virus (RRV) is responsible for the most common vector-borne disease of humans reported in Australia. The virus circulates in enzootic cycles between multiple species of mosquitoes, wildlife reservoir hosts and humans. Public health concern about RRV is increasing due to rising incidence rates in Australian urban centres, along with increased circulation in Pacific Island countries. Australia experienced its largest recorded outbreak of 9544 cases in 2015, with the majority reported from south east Queensland (SEQ). This study examined potential links between disease patterns and transmission pathways of RRV. Methods: The spatial and temporal distribution of notified RRV cases, and associated epidemiological features in SEQ, were analysed for the period 2001-2016. This included fine-scale analysis of disease patterns across the suburbs of the capital city of Brisbane, and those of 8 adjacent Local Government Areas, and host spot analyses to identify locations with significantly high incidence. Results: The mean annual incidence rate for the region was 41/100,000 with a consistent seasonal peak in cases between February and May. The highest RRV incidence was in adults aged from 30 to 64 years (mean incidence rate: 59/100,000), and females had higher incidence rates than males (mean incidence rates: 44/100,000 and 34/100,000, respectively). Spatial patterns of disease were heterogeneous between years, and there was a wide distribution of disease across both urban and rural areas of SEQ. Overall, the highest incidence rates were reported from predominantly rural suburbs to the north of Brisbane City, with significant hot spots located in peri-urban suburbs where residential, agricultural and conserved natural land use types intersect. Conclusions: Although RRV is endemic across all of SEQ, transmission is most concentrated in areas where urban and peri-urban environments intersect. The drivers of RRV transmission across rural-urban landscapes should be prioritised for further investigation, including identification of specific vectors and hosts that mediate human spillover.

Copyright information:

© The Author(s) 2020

This is an Open Access work distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).
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