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Modeling vaccination coverage during the 2022 central Ohio measles outbreak: a cross-sectional study
BACKGROUND: Of the eight large (>50 cases) US postelimination outbreaks, the first and last occurred in Ohio. Ohio's vaccination registry is incomplete. Community-level immunity gaps threaten more than two decades of measles elimination in the US. We developed a statistical model, VaxEstim,...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10366459/ https://www.ncbi.nlm.nih.gov/pubmed/37497395 http://dx.doi.org/10.1016/j.lana.2023.100533 |
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author | Martoma, Rosemary A. Washam, Matthew Martoma, Joshua C. Cori, Anne Majumder, Maimuna S. |
author_facet | Martoma, Rosemary A. Washam, Matthew Martoma, Joshua C. Cori, Anne Majumder, Maimuna S. |
author_sort | Martoma, Rosemary A. |
collection | PubMed |
description | BACKGROUND: Of the eight large (>50 cases) US postelimination outbreaks, the first and last occurred in Ohio. Ohio's vaccination registry is incomplete. Community-level immunity gaps threaten more than two decades of measles elimination in the US. We developed a statistical model, VaxEstim, to rapidly estimate the early-phase vaccination coverage and immunity gap in the exposed population during the 2022 Central Ohio outbreak. METHODS: We used reconstructed daily incidence (from publicly available data) and assumptions about the distribution of the serial interval, or the time between symptom onset in successive measles cases, to estimate the effective reproduction number (i.e., the average number of secondary infections caused by an infected individual in a partially immune population). We estimated early-phase measles vaccination coverage by comparing the effective reproduction number to the basic reproduction number (i.e., the average number of secondary infections caused by an infected individual in a fully susceptible population) while accounting for vaccine effectiveness. Finally, we estimated the early-phase immunity gap as the difference between the estimated critical vaccination threshold and vaccination coverage. FINDINGS: VaxEstim estimated the early-phase vaccination coverage as 53% (95% credible interval, 21%–77%), the critical vaccination threshold as 93%, and the immunity gap as 42% (95% credible interval, 18%–74%). INTERPRETATION: This study estimates a significant immunity gap in the exposed population during the early phase of the 2022 Central Ohio measles outbreak, suggesting a robust public health response is needed to identify the susceptible community and develop community-specific strategies to close the immunity gap. FUNDING: This work was supported in part by the 10.13039/100000057National Institute of General Medical Sciences, 10.13039/100000002National Institutes of Health; the 10.13039/501100000265UK Medical Research Council (MRC); the 10.13039/501100020171Foreign, Commonwealth and Development Office; the 10.13039/501100000272National Institute for Health Research (NIHR) Health Protection Research Unit in Modelling Methodology; 10.13039/501100000761Imperial College London, and the 10.13039/100009660London School of Hygiene & Tropical Medicine, Community Jameel; the EDCTP2 programme, supported by the EU; and the Sergei Brin Foundation. |
format | Online Article Text |
id | pubmed-10366459 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-103664592023-07-26 Modeling vaccination coverage during the 2022 central Ohio measles outbreak: a cross-sectional study Martoma, Rosemary A. Washam, Matthew Martoma, Joshua C. Cori, Anne Majumder, Maimuna S. Lancet Reg Health Am Articles BACKGROUND: Of the eight large (>50 cases) US postelimination outbreaks, the first and last occurred in Ohio. Ohio's vaccination registry is incomplete. Community-level immunity gaps threaten more than two decades of measles elimination in the US. We developed a statistical model, VaxEstim, to rapidly estimate the early-phase vaccination coverage and immunity gap in the exposed population during the 2022 Central Ohio outbreak. METHODS: We used reconstructed daily incidence (from publicly available data) and assumptions about the distribution of the serial interval, or the time between symptom onset in successive measles cases, to estimate the effective reproduction number (i.e., the average number of secondary infections caused by an infected individual in a partially immune population). We estimated early-phase measles vaccination coverage by comparing the effective reproduction number to the basic reproduction number (i.e., the average number of secondary infections caused by an infected individual in a fully susceptible population) while accounting for vaccine effectiveness. Finally, we estimated the early-phase immunity gap as the difference between the estimated critical vaccination threshold and vaccination coverage. FINDINGS: VaxEstim estimated the early-phase vaccination coverage as 53% (95% credible interval, 21%–77%), the critical vaccination threshold as 93%, and the immunity gap as 42% (95% credible interval, 18%–74%). INTERPRETATION: This study estimates a significant immunity gap in the exposed population during the early phase of the 2022 Central Ohio measles outbreak, suggesting a robust public health response is needed to identify the susceptible community and develop community-specific strategies to close the immunity gap. FUNDING: This work was supported in part by the 10.13039/100000057National Institute of General Medical Sciences, 10.13039/100000002National Institutes of Health; the 10.13039/501100000265UK Medical Research Council (MRC); the 10.13039/501100020171Foreign, Commonwealth and Development Office; the 10.13039/501100000272National Institute for Health Research (NIHR) Health Protection Research Unit in Modelling Methodology; 10.13039/501100000761Imperial College London, and the 10.13039/100009660London School of Hygiene & Tropical Medicine, Community Jameel; the EDCTP2 programme, supported by the EU; and the Sergei Brin Foundation. Elsevier 2023-06-27 /pmc/articles/PMC10366459/ /pubmed/37497395 http://dx.doi.org/10.1016/j.lana.2023.100533 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Articles Martoma, Rosemary A. Washam, Matthew Martoma, Joshua C. Cori, Anne Majumder, Maimuna S. Modeling vaccination coverage during the 2022 central Ohio measles outbreak: a cross-sectional study |
title | Modeling vaccination coverage during the 2022 central Ohio measles outbreak: a cross-sectional study |
title_full | Modeling vaccination coverage during the 2022 central Ohio measles outbreak: a cross-sectional study |
title_fullStr | Modeling vaccination coverage during the 2022 central Ohio measles outbreak: a cross-sectional study |
title_full_unstemmed | Modeling vaccination coverage during the 2022 central Ohio measles outbreak: a cross-sectional study |
title_short | Modeling vaccination coverage during the 2022 central Ohio measles outbreak: a cross-sectional study |
title_sort | modeling vaccination coverage during the 2022 central ohio measles outbreak: a cross-sectional study |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10366459/ https://www.ncbi.nlm.nih.gov/pubmed/37497395 http://dx.doi.org/10.1016/j.lana.2023.100533 |
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