Skip to main content Accessibility help
×
Home

The effect of Wolbachia on dengue dynamics in the presence of two serotypes of dengue: symmetric and asymmetric epidemiological characteristics

  • M. Z. NDII (a1) (a2), D. ALLINGHAM (a1), R. I. HICKSON (a1) (a3) and K. GLASS (a4)

Summary

An innovative strategy to reduce dengue transmission uses the bacterium Wolbachia. We analysed the effects of Wolbachia on dengue transmission dynamics in the presence of two serotypes of dengue using a mathematical model, allowing for differences in the epidemiological characteristics of the serotypes. We found that Wolbachia has a greater effect on secondary infections than on primary infections across a range of epidemiological characteristics. If one serotype is more transmissible than the other, it will dominate primary infections and Wolbachia will be less effective at reducing secondary infections of either serotype. Differences in the antibody-dependent enhancement of the two serotypes have considerably less effect on the benefits of Wolbachia than differences in transmission probability. Even if the antibody-dependent enhancement rate is high, Wolbachia is still effective in reducing dengue. Our findings suggest that Wolbachia will be effective in the presence of more than one serotype of dengue; however, a better understanding of serotype-specific differences in transmission probability may be needed to optimize delivery of a Wolbachia intervention.

  • View HTML
    • Send article to Kindle

      To send this article to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle. Find out more about sending to your Kindle.

      Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

      Find out more about the Kindle Personal Document Service.

      The effect of Wolbachia on dengue dynamics in the presence of two serotypes of dengue: symmetric and asymmetric epidemiological characteristics
      Available formats
      ×

      Send article to Dropbox

      To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Dropbox.

      The effect of Wolbachia on dengue dynamics in the presence of two serotypes of dengue: symmetric and asymmetric epidemiological characteristics
      Available formats
      ×

      Send article to Google Drive

      To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Google Drive.

      The effect of Wolbachia on dengue dynamics in the presence of two serotypes of dengue: symmetric and asymmetric epidemiological characteristics
      Available formats
      ×

Copyright

Corresponding author

*Author for correspondence: Dr M. Z. Ndii, Department of Mathematics, Nusa Cendana University, Kupang-NTT, Indonesia, 85361. (Email: meksianis.ndii@alumni.anu.edu.au)

References

Hide All
1. Bhatt, S, et al. The global distribution and burden of dengue. Nature 2013; 496: 504507.
2. Gubler, DJ. Dengue and dengue hemorrhagic fever. Clinical Microbiology Reviews 1998; 11: 480496.
3. Vaughn, DW, et al. Dengue viremia titer, antibody response pattern, and virus serotype correlate with disease severity. Journal of Infectious Diseases 2000; 181: 29.
4. Limkittikul, K, Brett, J, L'Azou, M. Epidemiological trends of dengue disease in Thailand (2000–2011): a systematic literature review. PLoS Neglected Tropical Diseases 2014; 8: e3241.
5. Maciel-de-Freitas, R, et al. Undesirable consequences of insecticide resistance following Aedes aegypti control activities due to a dengue outbreak. PLoS ONE 2014; 9: e92424.
6. Walker, T, et al. The wMel Wolbachia strain blocks dengue and invades caged Aedes aegypti populations. Nature 2011; 476: 450453.
7. Hoffmann, AA, et al. Successful establishment of Wolbachia in Aedes populations to suppress dengue transmission. Nature 2011; 476: 454457.
8. Hoffmann, AA, et al. Stability of the WMel Wolbachia infection following invasion into Aedes aegypti populations. PLoS Neglected Tropical Diseases 2014; 8: e3115.
9. Hoffmann, AA, Turelli, M, Harshman, LG. Factors affecting the distribution of cytoplasmic incompatibility in Drosophila simulans . Genetics 1990; 126: 933948.
10. Frentiu, FD, et al. Limited dengue virus replication in field-collected Aedes aegypti mosquitoes infected with Wolbachia . PLoS Neglected Tropical Diseases 2014; 8: e2688.
11. Turley, AP, et al. Wolbachia infection reduces blood-feeding success in the dengue fever mosquito, Aedes aegypti . PLoS Neglected Tropical Diseases 2009; 3: e516.
12. Werren, JH. Biology of Wolbachia . Annual Review Entomology 1997; 42: 587609.
13. Ndii, MZ, Hickson, RI, Mercer, GN. Modelling the introduction of Wolbachia into Aedes aegypti to reduce dengue transmission. ANZIAM Journal 2012; 53: 213227.
14. Ndii, MZ, et al. Modelling the transmission dynamics of dengue in the presence of Wolbachia. Mathematical Biosciences 2015; 262: 157166.
15. Hancock, PA, Sinkins, SP, Godfray, HCJ. Population dynamic models of the spread of Wolbachia . American Naturalist 2011; 177: 323333.
16. Chan, MT, Kim, P. Modelling a Wolbachia invasion using a slow–fast dispersal reaction-diffusion approach. Bulletin of Mathematical Biology 2013; 75: 15011523.
17. Ferguson, NM, et al. Modeling the impact on virus transmission of Wolbachia-mediated blocking of dengue virus infection of Aedes aegypti . Science Translational Medicine 2015; 7: 279ra37279ra37.
18. Ferguson, NM, Donnelly, CA, Anderson, RM. Transmission dynamics and epidemiology of dengue: insights from age-stratified seroprevalence surveys. Philosophical Transactions of the Royal Society of London, Series B: Biological Sciences 1999; 354: 757768.
19. Rodríguez-Barraquer, I, et al. Revisiting Rayong: shifting seroprofiles of dengue in Thailand and their implications for transmission and control. American Journal of Epidemiology 2014; 179: 353360.
20. Wearing, HJ, Rohani, P. Ecological and immunological determinants of dengue epidemics. Proceedings of the National Academy of Sciences USA 2006; 103: 1180211807.
21. Hughes, H, Britton, NF. Modelling the use of Wolbachia to control dengue fever transmission. Bulletin of the Mathematical Biology 2013; 75: 796818.
22. Warrilow, D, Northill, JA, Pyke, AT. Sources of dengue viruses imported into Queensland, Australia, 2002–2010. Emerging Infectious Diseases 2012; 18: 18501857.

Keywords

Type Description Title
WORD
Supplementary materials

Ndii supplementary material
Ndii supplementary material 1

 Word (203 KB)
203 KB

The effect of Wolbachia on dengue dynamics in the presence of two serotypes of dengue: symmetric and asymmetric epidemiological characteristics

  • M. Z. NDII (a1) (a2), D. ALLINGHAM (a1), R. I. HICKSON (a1) (a3) and K. GLASS (a4)

Metrics

Altmetric attention score

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Abstract views

Total abstract views: 0 *
Loading metrics...

* Views captured on Cambridge Core between <date>. This data will be updated every 24 hours.

Usage data cannot currently be displayed