1921
Volume 99, Issue 4
  • ISSN: 0002-9637
  • E-ISSN: 1476-1645

Abstract

Abstract.

Mosquito and virus surveillance systems are widely used in Western Australia (WA) to support public health efforts to reduce mosquito-borne disease. However, these programs are costly to maintain on a long-term basis. Therefore, we aimed to assess the validity of mosquito numbers and Ross River virus (RRV) isolates from surveillance trap sites as predictors of human RRV cases in south-west WA between 2003 and 2014. Using negative binomial regression modeling, mosquito surveillance was found to be a useful tool for predicting human RRV cases. In eight of the nine traps, when adjusted for season, there was an increased risk of RRV cases associated with elevated mosquito numbers detected 1 month before the onset of human cases for at least one quartile compared with the reference group. The most predictive urban trap sites were located near saltmarsh mosquito habitat, bushland that could sustain macropods and densely populated residential suburbs. This convergence of environments could allow enzootic transmission of RRV to spillover and infect the human population. Close proximity of urban trap sites to each other suggested these sites could be reduced. Ross River virus isolates were infrequent at some trap sites, so ceasing RRV isolation from mosquitoes at these sites or where isolates were not predictive of human cases could be considered. In future, trap sites could be reduced for routine surveillance, allowing other environments to be monitored to broaden the understanding of RRV ecology in the region. A more cost-effective and efficient surveillance program may result from these modifications.

Loading

Article metrics loading...

The graphs shown below represent data from March 2017
/content/journals/10.4269/ajtmh.18-0459
2018-09-04
2019-11-22
Loading full text...

Full text loading...

/deliver/fulltext/14761645/99/4/tpmd180459.html?itemId=/content/journals/10.4269/ajtmh.18-0459&mimeType=html&fmt=ahah

References

  1. Knope KE, National Arbovirus and Malaria Advisory Committee , 2016. Arboviral diseases and malaria in Australia, 2013–14: annual report of the National Arbovirus and Malaria Advisory Committee. Commun Dis Intell Q Rep 40: E400E436. [Google Scholar]
  2. Harley D, Bossingham D, Purdie DM, Pandeya N, Sleigh AC, , 2002. Ross River virus disease in tropical Queensland: evolution of rheumatic manifestations in an inception cohort followed for six months. Med J Aust 177: 352355. [Google Scholar]
  3. Russell RC, , 2002. Ross River virus: ecology and distribution. Annu Rev Entomol 47: 131. [Google Scholar]
  4. Claflin SB, Webb CE, , 2015. Ross River virus: many vectors and unusual hosts make for an unpredictable pathogen. PLoS Pathog 11: e1005070. [Google Scholar]
  5. Harley D, Sleigh A, Ritchie S, , 2001. Ross River virus transmission, infection, and disease: a cross-disciplinary review. Clin Microbiol Rev 14: 909932. [Google Scholar]
  6. Potter A, Johansen CA, Fenwick S, Reid SA, Lindsay MD, , 2014. The seroprevalence and factors associated with Ross River virus infection in western grey kangaroos (Macropus fuliginosus) in Western Australia. Vector Borne Zoonotic Dis 14: 740745. [Google Scholar]
  7. Carver S, Kilpatrick AM, Kuenzi A, Douglass R, Ostfeld RS, Weinstein P, , 2010. Environmental monitoring to enhance comprehension and control of infectious diseases. J Environ Monit 12: 20482055. [Google Scholar]
  8. Muhar A, Dale PE, Thalib L, Arito E, , 2000. The spatial distribution of Ross River virus infections in Brisbane: significance of residential location and relationships with vegetation types. Environ Health Prev Med 4: 184189. [Google Scholar]
  9. Yu W, Dale P, Turner L, Tong S, , 2014. Projecting the impact of climate change on the transmission of Ross River virus: methodological challenges and research needs. Epidemiol Infect 142: 20132023. [Google Scholar]
  10. Tong S, , 2004. Ross River virus disease in Australia: epidemiology, socioecology and public health response. Intern Med J 34: 5860. [Google Scholar]
  11. Vally H, Peel M, Dowse GK, Cameron S, Codde JP, Hanigan I, Lindsay MD, , 2012. Geographic Information Systems used to describe the link between the risk of Ross River virus infection and proximity to the Leschenault estuary, WA. Aust N Z J Public Health 36: 229235. [Google Scholar]
  12. Tong S, Dale P, Nicholls N, Mackenzie JS, Wolff R, McMichael AJ, , 2008. Climate variability, social and environmental factors, and Ross River virus transmission: research development and future research needs. Environ Health Perspect 116: 15911597. [Google Scholar]
  13. Smith DW, Speers DJ, Mackenzie JS, , 2011. The viruses of Australia and the risk to tourists. Travel Med Infect Dis 9: 113125. [Google Scholar]
  14. Webb CE, , 2015. Are we doing enough to promote the effective use of mosquito repellents? Med J Aust 202: 128129. [Google Scholar]
  15. Harley D, Ritchie S, Bain C, Sleigh AC, , 2005. Risks for Ross River virus disease in tropical Australia. Int J Epidemiol 34: 548555. [Google Scholar]
  16. Murray-Smith S, Weinstein P, Skelly C, , 1996. Field epidemiology of an outbreak of dengue fever in Charters Towers, Queensland: are insect screens protective? Aust N Z J Public Health 20: 545547. [Google Scholar]
  17. Johansen CA, Nicholson J, Power S, Wong S, Burley MMW, Imrie A, Smith D, Shellam G, , 2015. Arbovirus Surveillance and Research Laboratory Annual Report: 2013–2014. Nedlands, Western Australia: The University of Western Australia.
  18. Australian Bureau of Statistics, 2014. Data by Local Government Areas. Available at: http://stat.abs.gov.au/itt/r.jsp?databyregion#/. Accessed May 27, 2018.
  19. Lindsay M, Oliveira N, Jasinska E, Johansen C, Harrington S, Wright AE, Smith D, , 1996. An outbreak of Ross River virus disease in southwestern Australia. Emerg Infect Dis 2: 117120. [Google Scholar]
  20. Department of Health, 2016. Ross River Virus Infection Case Definition. Available at: http://www.health.gov.au/internet/main/publishing.nsf/content/cda-surveil-nndss-casedefs-cd_rrv.htm. Accessed May 27, 2018.
  21. Lindsay M, Broom A, Oliveira N, Jasinska E, van Heuzen B, Caulfield S, McMinn P, Smith D, Shellam G, , 1999. Arbovirus Surveillance and Research Laboratory Annual Report: 1997–1998. Nedlands, Western Australia: The University of Western Australia.
  22. Liehne P, , 1991. An Atlas of the Mosquitoes of Western Australia. Perth, Western Australia: Health Department of Western Australia.
  23. Johansen CA, 2017. Characterization of Fitzroy River virus and serologic evidence of human and animal infection. Emerg Infect Dis 23: 12891299. [Google Scholar]
  24. Selvey LA, Donnelly JA, Lindsay M, Pottumarthyboddu S, D’Abrera VC, Smith DW, , 2014. 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 38: E114E122. [Google Scholar]
  25. Ritchie SA, Kline DL, , 1995. Comparison of CDC and EVS light traps baited with carbon dioxide and octenol for trapping mosquitoes in Brisbane, Queensland (Diptera: Culicidae). Aust Entomol 34: 215218. [Google Scholar]
  26. Bisevac L, Franklin DC, Williamson GJ, Whelan PI, , 2009. A comparison of two generic trap types for monitoring mosquitoes through an annual cycle in tropical Australia. J Am Mosq Control Assoc 25: 5865. [Google Scholar]
  27. Hall-Mendelin S, Ritchie SA, Johansen CA, Zborowski P, Cortis G, Dandridge S, Hall RA, van den Hurk AF, , 2010. Exploiting mosquito sugar feeding to detect mosquito-borne pathogens. Proc Natl Acad Sci USA 107: 1125511259. [Google Scholar]
  28. Roiz D, Roussel M, Munoz J, Ruiz S, Soriguer R, Figuerola J, , 2012. Efficacy of mosquito traps for collecting potential West Nile mosquito vectors in a natural Mediterranean wetland. Am J Trop Med Hyg 86: 642648. [Google Scholar]
  29. L’Ambert G, Ferre JB, Schaffner F, Fontenille D, , 2012. Comparison of different trapping methods for surveillance of mosquito vectors of West Nile virus in Rhône Delta, France. J Vector Ecol 37: 269275. [Google Scholar]
  30. Onyango SA, Kitron U, Mungai P, Muchiri EM, Kokwaro E, King CH, Mutuku FM, , 2013. Monitoring malaria vector control interventions: effectiveness of five different adult mosquito sampling methods. J Med Entomol 50: 11401151. [Google Scholar]
  31. Azil AH, Ritchie SA, Williams CR, , 2015. Field worker evaluation of dengue vector surveillance methods: factors that determine perceived ease, difficulty, value, and time effectiveness in Australia and Malaysia. Asia Pac J Public Health 27: 705714. [Google Scholar]
  32. Sriwichai P, Karl S, Samung Y, Sumruayphol S, Kiattibutr K, Payakkapol A, Mueller I, Yan G, Cui L, Sattabongkot J, , 2015. Evaluation of CDC light traps for mosquito surveillance in a malaria endemic area on the Thai-Myanmar border. Parasit Vectors 8: 636. [Google Scholar]
  33. Pezzin A, Sy V, Puggioli A, Veronesi R, Carrieri M, Maccagnani B, Bellini R, , 2016. Comparative study on the effectiveness of different mosquito traps in arbovirus surveillance with a focus on WNV detection. Acta Trop 153: 93100. [Google Scholar]
  34. Tong S, Hu W, Nicholls N, Dale P, MacKenzie JS, Patz J, McMichael AJ, , 2005. Climatic, high tide and vector variables and the transmission of Ross River virus. Intern Med J 35: 677680. [Google Scholar]
  35. Woodruff RE, Guest CS, Garner MG, Becker N, Lindsay M, , 2006. Early warning of Ross River virus epidemics: combining surveillance data on climate and mosquitoes. Epidemiology 17: 569575. [Google Scholar]
  36. Hu W, Tong S, Mengersen K, Oldenburg B, , 2006. Rainfall, mosquito density and the transmission of Ross River virus: a time-series forecasting model. Ecol Modell 196: 505514. [Google Scholar]
  37. Jacups SP, Whelan PI, Markey PG, Cleland SJ, Williamson GJ, Currie BJ, , 2008. Predictive indicators for Ross River virus infection in the Darwin area of tropical northern Australia, using long-term mosquito trapping data. Trop Med Int Health 13: 943952. [Google Scholar]
  38. Borah J, Dutta P, Khan SA, Mahanta J, , 2013. Epidemiological concordance of Japanese encephalitis virus infection among mosquito vectors, amplifying hosts and humans in India. Epidemiol Infect 141: 7480. [Google Scholar]
  39. Selvey LA, Johansen CA, Broom AK, Antao C, Lindsay MD, Mackenzie JS, Smith DW, , 2014. Rainfall and sentinel chicken seroconversions predict human cases of Murray Valley encephalitis in the north of Western Australia. BMC Infect Dis 14: 672. [Google Scholar]
  40. Mackenzie JS, Lindsay MD, Coelen RJ, Broom AK, Hall RA, Smith DW, , 1994. Arboviruses causing human disease in the Australasian zoogeographic region. Arch Virol 136: 447467. [Google Scholar]
  41. Guo S, Ling F, Hou J, Wang J, Fu G, Gong Z, , 2014. Mosquito surveillance revealed lagged effects of mosquito abundance on mosquito-borne disease transmission: a retrospective study in Zhejiang, China. PLoS One 9: e112975. [Google Scholar]
  42. Tadei WP, Thatcher BD, Santos JM, Scarpassa VM, Rodrigues IB, Rafael MS, , 1998. Ecologic observations on Anopheline vectors of malaria in the Brazilian Amazon. Am J Trop Med Hyg 59: 325335. [Google Scholar]
  43. Barrera R, Amador M, MacKay AJ, , 2011. Population dynamics of Aedes aegypti and dengue as influenced by weather and human behavior in San Juan, Puerto Rico. PLoS Negl Trop Dis 5: e1378. [Google Scholar]
  44. Goddard J, , 2012. Vector-Borne Disease Surveillance. Public Health Entomology. Boca Raton, FL: CRC Press, 57–82.
  45. Gu W, Unnasch TR, Katholi CR, Lampman R, Novak RJ, , 2008. Fundamental issues in mosquito surveillance for arboviral transmission. Trans R Soc Trop Med Hyg 102: 817822. [Google Scholar]
  46. Jardine A, Neville PJ, Dent C, Webster C, Lindsay MDA, , 2014. Ross River virus risk associated with dispersal of Aedes (Ochlerotatus) camptorhynchus (Thomson) from breeding habitat into surrounding residential areas: Muddy Lakes, Western Australia. Am J Trop Med Hyg 91: 101108. [Google Scholar]
  47. Jardine A, Neville PJ, Lindsay MD, , 2015. Proximity to mosquito breeding habitat and Ross River virus risk in the Peel region of Western Australia. Vector Borne Zoonotic Dis 15: 141146. [Google Scholar]
http://instance.metastore.ingenta.com/content/journals/10.4269/ajtmh.18-0459
Loading
/content/journals/10.4269/ajtmh.18-0459
Loading

Data & Media loading...

  • Received : 30 May 2018
  • Accepted : 20 Jul 2018
  • Published online : 04 Sep 2018

Most Cited This Month

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error