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Estimating the Extent of Vaccine-Derived Poliovirus Infection

Overview of attention for article published in PLOS ONE, October 2008
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Title
Estimating the Extent of Vaccine-Derived Poliovirus Infection
Published in
PLOS ONE, October 2008
DOI 10.1371/journal.pone.0003433
Pubmed ID
Authors

Alison Wringe, Paul E. M. Fine, Roland W. Sutter, Olen M. Kew

Abstract

Eight outbreaks of paralytic polio attributable to circulating vaccine-derived poliovirus (cVDPV) have highlighted the risks associated with oral poliovirus vaccine (OPV) use in areas of low vaccination coverage and poor hygiene. As the Polio Eradication Initiative enters its final stages, it is important to consider the extent to which these viruses spread under different conditions, so that appropriate strategies can be devised to prevent or respond to future cVDPV outbreaks. This paper examines epidemiological (temporal, geographic, age, vaccine history, social group, ascertainment), and virological (type, genetic diversity, virulence) parameters in order to infer the numbers of individuals likely to have been infected in each of these cVDPV outbreaks, and in association with single acute flaccid paralysis (AFP) cases attributable to VDPVs. Although only 114 virologically-confirmed paralytic cases were identified in the eight cVDPV outbreaks, it is likely that a minimum of hundreds of thousands, and more likely several million individuals were infected during these events, and that many thousands more have been infected by VDPV lineages within outbreaks which have escaped detection. Our estimates of the extent of cVDPV circulation suggest widespread transmission in some countries, as might be expected from endemic wild poliovirus transmission in these same settings. These methods for inferring extent of infection will be useful in the context of identifying future surveillance needs, planning for OPV cessation and preparing outbreak response plans.

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Geographical breakdown

Country Count As %
United Kingdom 2 3%
Brazil 1 1%
India 1 1%
Israel 1 1%
United States 1 1%
Madagascar 1 1%
Unknown 73 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 25%
Student > Master 10 13%
Student > Ph. D. Student 8 10%
Student > Postgraduate 8 10%
Student > Bachelor 6 8%
Other 11 14%
Unknown 17 21%
Readers by discipline Count As %
Medicine and Dentistry 23 29%
Agricultural and Biological Sciences 12 15%
Immunology and Microbiology 5 6%
Biochemistry, Genetics and Molecular Biology 3 4%
Nursing and Health Professions 3 4%
Other 13 16%
Unknown 21 26%