1921
Volume 98, Issue 3
  • ISSN: 0002-9637
  • E-ISSN: 1476-1645

Abstract

Abstract.

The objective of this work was to summarize and quantify Japanese encephalitis virus (JEV) infection, dissemination, and transmission rates in mosquitoes, using a meta-analysis approach. Data were obtained from experimental studies, gathered by means of a systematic review of the literature. Random-effects subgroup meta-analysis models by mosquito species were fitted to estimate pooled estimates and to calculate the variance between studies for three outcomes of interest: JEV infection, dissemination, and transmission rates in mosquitoes. To identify sources of heterogeneity among studies and to assess the association between different predictors (mosquito species, virus administration route, incubation period, and diagnostic method) with the outcome JEV infection rate in vectors, we fitted univariable meta-regression models. Mosquito species and administration route represented the main sources of heterogeneity associated with JEV infection rate in vectors. This study provided summary effect size estimates to be used as reference for other investigators when assessing transmission efficiency of vectors and explored sources of variability for JEV infection rates in vectors. Because transmission efficiency, as part of vector competence assessment, is an important parameter when studying the relative contribution of vectors to JEV transmission, our findings contribute to further our knowledge, potentially moving us toward more informed and targeted actions to prevent and control JEV in both affected and susceptible regions worldwide.

Loading

Article metrics loading...

The graphs shown below represent data from March 2017
/content/journals/10.4269/ajtmh.17-0622
2018-01-22
2019-11-21
Loading full text...

Full text loading...

/deliver/fulltext/14761645/98/3/tpmd170622.html?itemId=/content/journals/10.4269/ajtmh.17-0622&mimeType=html&fmt=ahah

References

  1. Erlanger TE, Weiss S, Keiser J, Utzinger J, Wiedenmayer K, , 2009. Past, present and future of Japanese encephalitis. Emerg Infect Dis 15: 17. [Google Scholar]
  2. Solomon T, , 2006. Control of Japanese encephalitis—within our grasp? N Engl J Med 355: 869871. [Google Scholar]
  3. Solomon T, Dung NM, Kneen R, Gainsborough M, Vaughn D, Khanh VT, , 2000. Japanese encephalitis. J Neurol Neurosurg Psychiatry 68: 405415. [Google Scholar]
  4. Campbell GL, 2011. Estimated global incidence of Japanese encephalitis: a systematic review. Bull World Health Organ 89: 766774. [Google Scholar]
  5. Le Flohic G, Porphyre V, Barbazan P, Gonzalez JP, , 2013. Review of climate, landscape, and viral genetics as drivers of the Japanese encephalitis virus ecology. PLoS Negl Trop Dis 7: 17. [Google Scholar]
  6. van den Hurk AF, Ritchie SA, Mackenzie JS, , 2009. Ecology and geographical expansion of Japanese encephalitis virus. Annu Rev Entomol 54: 1735. [Google Scholar]
  7. Gubler DJ, , 2002. The global emergence/resurgence of arboviral diseases as public health problems. Arch Med Res 33: 330342. [Google Scholar]
  8. Nett RJ, Campbell GL, Reisen WK, , 2009. Potential for the emergence of Japanese encephalitis virus in California. Vector Borne Zoonotic Dis 9: 511517. [Google Scholar]
  9. Nemeth N, Bosco-Lauth A, Oesterle P, Kohler D, Bowen R, , 2012. North American birds as potential amplifying hosts of Japanese encephalitis virus. Am J Trop Med Hyg 87: 760767. [Google Scholar]
  10. Huang YJS, Higgs S, Horne KM, Vanlandingham DL, , 2014. Flavivirus-mosquito interactions. Viruses 6: 47044730. [Google Scholar]
  11. Lord JS, Gurley ES, Pulliam JRC, , 2015. Rethinking Japanese encephalitis virus transmission: a framework for implicating host and vector species. PLoS Negl Trop Dis 9: 17. [Google Scholar]
  12. Sargeant JM, Rajic A, Read S, Ohlsson A, , 2006. The process of systematic review and its application in agri-food public-health. Prev Vet Med 75: 141151. [Google Scholar]
  13. Sargeant JM, O’Connor AM, , 2014. Introduction to systematic reviews in animal agriculture and veterinary medicine. Zoonoses Public Health 61 (Suppl 1): 39. [Google Scholar]
  14. Egger M, Smith GD, O’Rourke K, , 2001. Rationale, potentials, and promise of systematic reviews. Egger M, Smith GD, Altman DG, eds. Systematic Reviews in Health Care: Meta-Analysis in Context. 2nd edition. London, United Kingdom: BMJ, 319.
  15. Sutton AJ, Abrams KR, Jones DR, , 2001. An illustrated guide to the methods of meta-analysis. J Eval Clin Pract 7: 135148. [Google Scholar]
  16. O’Connor AM, Anderson KM, Goodell CK, Sargeant JM, , 2014. Conducting systematic reviews of intervention questions I: writing the review protocol, formulating the question and searching the literature. Zoonoses Public Health 61 (Suppl 1): 2838. [Google Scholar]
  17. Oliveira ARS, Cohnstaedt LW, Strathe E, Hernandez LE, McVey DS, Piaggio J, Cernicchiaro N, , 2017. Meta-analyses of the proportion of Japanese encephalitis virus infection in vectors and vertebrate hosts. Parasit Vectors 10: 418. [Google Scholar]
  18. Sargeant JM, O’Connor AM, , 2014. Conducting systematic reviews of intervention questions II: relevance screening, data extraction, assessing risk of bias, presenting the results and interpreting the findings. Zoonoses Public Health 61 (Suppl 1): 3951. [Google Scholar]
  19. O’Connor AM, Sargeant JM, Wang C, , 2014. Conducting systematic reviews of intervention questions III: synthesizing data from intervention studies using meta-analysis. Zoonoses Public Health 61 (Suppl 1): 5263. [Google Scholar]
  20. Higgins JPT, Green S, , 2011. Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0. The Cochrane Collaboration. [Updated March 2011]. Available at: http://handbook-5-1.cochrane.org/. Accessed March 15, 2017.
  21. Golnar AJ, Turell MJ, LaBeaud AD, Kading RC, Hamer GL, , 2015. Predicting the mosquito species and vertebrate species involved in the theoretical transmission of Rift Valley fever virus in the United States. PLoS Negl Trop Dis 8: e3163. [Google Scholar]
  22. Dohoo I, Martin W, Stryhn H, , 2009. Veterinary Epidemiologic Research. 2nd edition. Charlottetown, Prince Edward Island, Canada: Ver.
  23. Sanchez J, Dohoo IR, Christensen J, Rajic A, , 2007. Factors influencing the prevalence of Salmonella spp. in swine farms: a meta-analysis approach. Prev Vet Med 81: 148177. [Google Scholar]
  24. Lambert K, Coe J, Niel L, Dewey C, Sargeant JM, , 2015. A systematic review and meta-analysis of the proportion of dogs surrendered for dog-related and owner-related reasons. Prev Vet Med 118: 148160. [Google Scholar]
  25. DerSimonian R, Laird N, , 1986. Meta-analysis in clinical trials. Control Clin Trials 7: 177188. [Google Scholar]
  26. Misra UK, Kalita J, , 2010. Overview: Japanese encephalitis. Prog Neurobiol 91: 108120. [Google Scholar]
  27. Bustamante DM, Lord CC, , 2010. Sources of error in the estimation of mosquito infection rates used to assess risk of arbovirus transmission. Am J Trop Med Hyg 82: 11721184. [Google Scholar]
  28. ECDC, 2017. Health Topics: Aedes japonicus. Available at: http://ecdc.europa.eu/en/healthtopics/vectors/mosquitoes/Pages/aedes-japonicus.aspx. Accessed May 15, 2017.
  29. Darsie RF, Jr Ward RA, , 2005. Identification and Geographical Distribution of the Mosquitoes of North America, North of Mexico. Gainesville, FL: University Press of Florida.
  30. Mackenzie JS, Gubler DJ, Petersen LR, , 2004. Emerging flaviviruses: the spread and resurgence of Japanese encephalitis, West Nile and dengue viruses. Nat Med 10: 98109. [Google Scholar]
  31. Weaver S, Barrett ADT, , 2004. Transmission cycles, host range, evolution and emergence of arboviral disease. Nat Rev Microbiol 2: 789801. [Google Scholar]
  32. Gresser I, Hardy JL, Hu SMK, Scherer WF, , 1958. Factors influencing transmission of Japanese B encephalitis virus by a colonized strain of Culex tritaeniorhynchus Giles, from infected pigs and chicks to susceptible pigs and birds. Am J Trop Med Hyg 7: 365373. [Google Scholar]
  33. Lequime S, Lambrechts L, , 2014. Vertical transmission of arboviruses in mosquitoes: a historical perspective. Infect Genet Evol 28: 681690. [Google Scholar]
  34. Dye C, , 1992. The analysis of parasite transmission by bloodsucking insects. Annu Rev Entomol 37: 119. [Google Scholar]
http://instance.metastore.ingenta.com/content/journals/10.4269/ajtmh.17-0622
Loading
/content/journals/10.4269/ajtmh.17-0622
Loading

Data & Media loading...

Supplemental Table

  • Received : 04 Aug 2017
  • Accepted : 09 Dec 2017
  • Published online : 22 Jan 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