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Modeling scenarios for ending poliovirus transmission in Pakistan and Afghanistan.

Authors :
Kalkowska, Dominika A.
Badizadegan, Kamran
Thompson, Kimberly M.
Source :
Risk Analysis: An International Journal; Apr2023, Vol. 43 Issue 4, p660-676, 17p, 4 Charts, 6 Graphs
Publication Year :
2023

Abstract

Pakistan and Afghanistan pose risks for international transmission of polioviruses as the last global reservoir for wild poliovirus type 1 (WPV1) and a reservoir for type 2 circulating vaccine‐derived polioviruses (cVDPV2s). Widespread transmission of WPV1 and cVDPV2 in 2019–2020 and resumption of intensive supplemental immunization activities (SIAs) in 2020–2021 using oral poliovirus vaccine (OPV) led to decreased transmission of WPV1 and cVDPV2 as of the end of 2021. Using an established dynamic disease transmission model, we explore multiple bounding scenarios with varying intensities of SIAs using bivalent OPV (bOPV) and/or trivalent tOPV (tOPV) to characterize potential die out of transmission. This analysis demonstrates potential sets of actions that may lead to elimination of poliovirus transmission in Pakistan and/or Afghanistan. Some modeled scenarios suggest that Pakistan and Afghanistan could increase population immunity to levels high enough to eliminate transmission, and if maintained, achieve WPV1 and cVDPV2 elimination as early as 2022. This requires intensive and proactive OPV SIAs to prevent transmission, instead of surveillance followed by reactive outbreak response. The reduction of cases observed in 2021 may lead to a false sense of security that polio has already or soon will die out on its own, but relaxation of immunization activities runs the risk of lowering population immunity to, or below, the minimum die‐out threshold such that transmission continues. Transmission modeling may play a key role in managing expectations and supporting future modeling about the confidence of no virus circulation in anticipation of global certification decisions. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02724332
Volume :
43
Issue :
4
Database :
Complementary Index
Journal :
Risk Analysis: An International Journal
Publication Type :
Academic Journal
Accession number :
162971541
Full Text :
https://doi.org/10.1111/risa.13983