Multiscale model for forecasting Sabin 2 vaccine virus household and community transmission.

Since the global withdrawal of Sabin 2 oral poliovirus vaccine (OPV) from routine immunization, the Global Polio Eradication Initiative (GPEI) has reported multiple circulating vaccine-derived poliovirus type 2 (cVDPV2) outbreaks. Here, we generated an agent-based, mechanistic model designed to asse...

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Main Authors: Michael Famulare, Wesley Wong, Rashidul Haque, James A Platts-Mills, Parimalendu Saha, Asma B Aziz, Tahmina Ahmed, Md Ohedul Islam, Md Jashim Uddin, Ananda S Bandyopadhyay, Mohammed Yunus, Khalequ Zaman, Mami Taniuchi
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-12-01
Series:PLoS Computational Biology
Online Access:https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1009690&type=printable
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author Michael Famulare
Wesley Wong
Rashidul Haque
James A Platts-Mills
Parimalendu Saha
Asma B Aziz
Tahmina Ahmed
Md Ohedul Islam
Md Jashim Uddin
Ananda S Bandyopadhyay
Mohammed Yunus
Khalequ Zaman
Mami Taniuchi
author_facet Michael Famulare
Wesley Wong
Rashidul Haque
James A Platts-Mills
Parimalendu Saha
Asma B Aziz
Tahmina Ahmed
Md Ohedul Islam
Md Jashim Uddin
Ananda S Bandyopadhyay
Mohammed Yunus
Khalequ Zaman
Mami Taniuchi
author_sort Michael Famulare
collection DOAJ
description Since the global withdrawal of Sabin 2 oral poliovirus vaccine (OPV) from routine immunization, the Global Polio Eradication Initiative (GPEI) has reported multiple circulating vaccine-derived poliovirus type 2 (cVDPV2) outbreaks. Here, we generated an agent-based, mechanistic model designed to assess OPV-related vaccine virus transmission risk in populations with heterogeneous immunity, demography, and social mixing patterns. To showcase the utility of our model, we present a simulation of mOPV2-related Sabin 2 transmission in rural Matlab, Bangladesh based on stool samples collected from infants and their household contacts during an mOPV2 clinical trial. Sabin 2 transmission following the mOPV2 clinical trial was replicated by specifying multiple, heterogeneous contact rates based on household and community membership. Once calibrated, the model generated Matlab-specific insights regarding poliovirus transmission following an accidental point importation or mass vaccination event. We also show that assuming homogeneous contact rates (mass action), as is common of poliovirus forecast models, does not accurately represent the clinical trial and risks overestimating forecasted poliovirus outbreak probability. Our study identifies household and community structure as an important source of transmission heterogeneity when assessing OPV-related transmission risk and provides a calibratable framework for expanding these analyses to other populations. Trial Registration: ClinicalTrials.gov This trial is registered with clinicaltrials.gov, NCT02477046.
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spelling doaj-art-b91c22edc02447ccab047ebdc942d67b2025-08-20T02:02:13ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582021-12-011712e100969010.1371/journal.pcbi.1009690Multiscale model for forecasting Sabin 2 vaccine virus household and community transmission.Michael FamulareWesley WongRashidul HaqueJames A Platts-MillsParimalendu SahaAsma B AzizTahmina AhmedMd Ohedul IslamMd Jashim UddinAnanda S BandyopadhyayMohammed YunusKhalequ ZamanMami TaniuchiSince the global withdrawal of Sabin 2 oral poliovirus vaccine (OPV) from routine immunization, the Global Polio Eradication Initiative (GPEI) has reported multiple circulating vaccine-derived poliovirus type 2 (cVDPV2) outbreaks. Here, we generated an agent-based, mechanistic model designed to assess OPV-related vaccine virus transmission risk in populations with heterogeneous immunity, demography, and social mixing patterns. To showcase the utility of our model, we present a simulation of mOPV2-related Sabin 2 transmission in rural Matlab, Bangladesh based on stool samples collected from infants and their household contacts during an mOPV2 clinical trial. Sabin 2 transmission following the mOPV2 clinical trial was replicated by specifying multiple, heterogeneous contact rates based on household and community membership. Once calibrated, the model generated Matlab-specific insights regarding poliovirus transmission following an accidental point importation or mass vaccination event. We also show that assuming homogeneous contact rates (mass action), as is common of poliovirus forecast models, does not accurately represent the clinical trial and risks overestimating forecasted poliovirus outbreak probability. Our study identifies household and community structure as an important source of transmission heterogeneity when assessing OPV-related transmission risk and provides a calibratable framework for expanding these analyses to other populations. Trial Registration: ClinicalTrials.gov This trial is registered with clinicaltrials.gov, NCT02477046.https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1009690&type=printable
spellingShingle Michael Famulare
Wesley Wong
Rashidul Haque
James A Platts-Mills
Parimalendu Saha
Asma B Aziz
Tahmina Ahmed
Md Ohedul Islam
Md Jashim Uddin
Ananda S Bandyopadhyay
Mohammed Yunus
Khalequ Zaman
Mami Taniuchi
Multiscale model for forecasting Sabin 2 vaccine virus household and community transmission.
PLoS Computational Biology
title Multiscale model for forecasting Sabin 2 vaccine virus household and community transmission.
title_full Multiscale model for forecasting Sabin 2 vaccine virus household and community transmission.
title_fullStr Multiscale model for forecasting Sabin 2 vaccine virus household and community transmission.
title_full_unstemmed Multiscale model for forecasting Sabin 2 vaccine virus household and community transmission.
title_short Multiscale model for forecasting Sabin 2 vaccine virus household and community transmission.
title_sort multiscale model for forecasting sabin 2 vaccine virus household and community transmission
url https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1009690&type=printable
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