Imperial College London
Alternate

DrIsobelBlake

Faculty of Medicine, School of Public Health

Lecturer
 
 
 
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Contact

 

isobel.blake

 
 
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Location

 

Desk 1103Sir Michael Uren HubWhite City Campus

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Summary

 

Publications

Citation

BibTex format

@article{Molodecky:2023:10.1016/j.vaccine.2021.09.037,
author = {Molodecky, NA and Jafari, H and Safdar, RM and Ahmed, JA and Mahamud, A and Bandyopadhyay, AS and Shukla, H and Quddus, A and Zaffran, M and Sutter, RW and Grassly, NC and Blake, IM},
doi = {10.1016/j.vaccine.2021.09.037},
journal = {Vaccine},
pages = {A93--A104},
title = {Modelling the spread of serotype-2 vaccine derived-poliovirus outbreak in Pakistan and Afghanistan to inform outbreak control strategies in the context of the COVID-19 pandemic},
url = {http://dx.doi.org/10.1016/j.vaccine.2021.09.037},
volume = {41},
year = {2023}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - BackgroundSince July 2019, Pakistan and Afghanistan have been facing an outbreak of serotype-2 circulating vaccine derived poliovirus (cVDPV2) in addition to continued transmission of serotype-1 wild poliovirus (WPV1) and SARS-CoV-2 in 2020. Understanding the risks of cVDPV2 transmission due to pause of global vaccination efforts and the impact of potential vaccination response strategies in the current context of COVID-19 mitigation measures is critical.MethodsWe developed a stochastic, geographically structured mathematical model of cVDPV2 transmission which captures both mucosal and humoral immunity separately and allows for reversion of serotype-2 oral polio vaccine (OPV2) virus to cVDPV2 following vaccine administration. The model includes geographic heterogeneities in vaccination coverage, population immunity and population movement. The model was fitted to historic cVDPV2 cases in Pakistan and Afghanistan between January 2010-April 2016 and July 2019-March 2020 using iterated particle filtering. The model was used to simulate spread of cVDPV2 infection from July 2019 to explore impact of various proposed vaccination responses on stopping transmission and risk of spread of reverted Sabin-2 under varying assumptions of impacts from COVID-19 lockdown measures on movement patterns as well as declines in vaccination coverage.ResultsSimulated monthly incidence of cVDPV2 from the best-fit model demonstrated general spatio-temporal alignment with observed cVDPV2 cases. The model predicted substantial spread of cVDPV2 infection, with widespread transmission through 2020 in the absence of any vaccination activities. Vaccination responses were predicted to substantially reduce transmission and case burden, with a greater impact from earlier responses and those with larger geographic scope. While the greatest risk of seeding reverted Sabin-2 was predicted in areas targeted with OPV2, subsequent spread was greatest in areas with no or delayed response. The proposed vaccin
AU  - Molodecky,NA
AU  - Jafari,H
AU  - Safdar,RM
AU  - Ahmed,JA
AU  - Mahamud,A
AU  - Bandyopadhyay,AS
AU  - Shukla,H
AU  - Quddus,A
AU  - Zaffran,M
AU  - Sutter,RW
AU  - Grassly,NC
AU  - Blake,IM
DO  - 10.1016/j.vaccine.2021.09.037
EP  - 104
PY  - 2023///
SN  - 0264-410X
SP  - 93
TI  - Modelling the spread of serotype-2 vaccine derived-poliovirus outbreak in Pakistan and Afghanistan to inform outbreak control strategies in the context of the COVID-19 pandemic
T2  - Vaccine
UR  - http://dx.doi.org/10.1016/j.vaccine.2021.09.037
UR  - https://www.sciencedirect.com/science/article/pii/S0264410X21012287?via%3Dihub
UR  - http://hdl.handle.net/10044/1/91980
VL  - 41
ER  -
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