Cargando…
Outbreaks of COVID-19 variants in US prisons: a mathematical modelling analysis of vaccination and reopening policies
BACKGROUND: Residents of prisons have experienced disproportionate COVID-19-related health harms. To control outbreaks, many prisons in the USA restricted in-person activities, which are now resuming even as viral variants proliferate. This study aims to use mathematical modelling to assess the risk...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Ltd.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8342313/ https://www.ncbi.nlm.nih.gov/pubmed/34364404 http://dx.doi.org/10.1016/S2468-2667(21)00162-6 |
_version_ | 1783734040046600192 |
---|---|
author | Ryckman, Theresa Chin, Elizabeth T Prince, Lea Leidner, David Long, Elizabeth Studdert, David M Salomon, Joshua A Alarid-Escudero, Fernando Andrews, Jason R Goldhaber-Fiebert, Jeremy D |
author_facet | Ryckman, Theresa Chin, Elizabeth T Prince, Lea Leidner, David Long, Elizabeth Studdert, David M Salomon, Joshua A Alarid-Escudero, Fernando Andrews, Jason R Goldhaber-Fiebert, Jeremy D |
author_sort | Ryckman, Theresa |
collection | PubMed |
description | BACKGROUND: Residents of prisons have experienced disproportionate COVID-19-related health harms. To control outbreaks, many prisons in the USA restricted in-person activities, which are now resuming even as viral variants proliferate. This study aims to use mathematical modelling to assess the risks and harms of COVID-19 outbreaks in prisons under a range of policies, including resumption of activities. METHODS: We obtained daily resident-level data for all California state prisons from Jan 1, 2020, to May 15, 2021, describing prison layouts, housing status, sociodemographic and health characteristics, participation in activities, and COVID-19 testing, infection, and vaccination status. We developed a transmission-dynamic stochastic microsimulation parameterised by the California data and published literature. After an initial infection is introduced to a prison, the model evaluates the effect of various policy scenarios on infections and hospitalisations over 200 days. Scenarios vary by vaccine coverage, baseline immunity (0%, 25%, or 50%), resumption of activities, and use of non-pharmaceutical interventions (NPIs) that reduce transmission by 75%. We simulated five prison types that differ by residential layout and demographics, and estimated outcomes with and without repeated infection introductions over the 200 days. FINDINGS: If a viral variant is introduced into a prison that has resumed pre-2020 contact levels, has moderate vaccine coverage (ranging from 36% to 76% among residents, dependent on age, with 40% coverage for staff), and has no baseline immunity, 23–74% of residents are expected to be infected over 200 days. High vaccination coverage (90%) coupled with NPIs reduces cumulative infections to 2–54%. Even in prisons with low room occupancies (ie, no more than two occupants) and low levels of cumulative infections (ie, <10%), hospitalisation risks are substantial when these prisons house medically vulnerable populations. Risks of large outbreaks (>20% of residents infected) are substantially higher if infections are repeatedly introduced. INTERPRETATION: Balancing benefits of resuming activities against risks of outbreaks presents challenging trade-offs. After achieving high vaccine coverage, prisons with mostly one-to-two-person cells that have higher baseline immunity from previous outbreaks can resume in-person activities with low risk of a widespread new outbreak, provided they maintain widespread NPIs, continue testing, and take measures to protect the medically vulnerable. FUNDING: Horowitz Family Foundation, National Institute on Drug Abuse, Centers for Disease Control and Prevention, National Science Foundation, Open Society Foundation, Advanced Micro Devices. |
format | Online Article Text |
id | pubmed-8342313 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Author(s). Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-83423132021-08-06 Outbreaks of COVID-19 variants in US prisons: a mathematical modelling analysis of vaccination and reopening policies Ryckman, Theresa Chin, Elizabeth T Prince, Lea Leidner, David Long, Elizabeth Studdert, David M Salomon, Joshua A Alarid-Escudero, Fernando Andrews, Jason R Goldhaber-Fiebert, Jeremy D Lancet Public Health Articles BACKGROUND: Residents of prisons have experienced disproportionate COVID-19-related health harms. To control outbreaks, many prisons in the USA restricted in-person activities, which are now resuming even as viral variants proliferate. This study aims to use mathematical modelling to assess the risks and harms of COVID-19 outbreaks in prisons under a range of policies, including resumption of activities. METHODS: We obtained daily resident-level data for all California state prisons from Jan 1, 2020, to May 15, 2021, describing prison layouts, housing status, sociodemographic and health characteristics, participation in activities, and COVID-19 testing, infection, and vaccination status. We developed a transmission-dynamic stochastic microsimulation parameterised by the California data and published literature. After an initial infection is introduced to a prison, the model evaluates the effect of various policy scenarios on infections and hospitalisations over 200 days. Scenarios vary by vaccine coverage, baseline immunity (0%, 25%, or 50%), resumption of activities, and use of non-pharmaceutical interventions (NPIs) that reduce transmission by 75%. We simulated five prison types that differ by residential layout and demographics, and estimated outcomes with and without repeated infection introductions over the 200 days. FINDINGS: If a viral variant is introduced into a prison that has resumed pre-2020 contact levels, has moderate vaccine coverage (ranging from 36% to 76% among residents, dependent on age, with 40% coverage for staff), and has no baseline immunity, 23–74% of residents are expected to be infected over 200 days. High vaccination coverage (90%) coupled with NPIs reduces cumulative infections to 2–54%. Even in prisons with low room occupancies (ie, no more than two occupants) and low levels of cumulative infections (ie, <10%), hospitalisation risks are substantial when these prisons house medically vulnerable populations. Risks of large outbreaks (>20% of residents infected) are substantially higher if infections are repeatedly introduced. INTERPRETATION: Balancing benefits of resuming activities against risks of outbreaks presents challenging trade-offs. After achieving high vaccine coverage, prisons with mostly one-to-two-person cells that have higher baseline immunity from previous outbreaks can resume in-person activities with low risk of a widespread new outbreak, provided they maintain widespread NPIs, continue testing, and take measures to protect the medically vulnerable. FUNDING: Horowitz Family Foundation, National Institute on Drug Abuse, Centers for Disease Control and Prevention, National Science Foundation, Open Society Foundation, Advanced Micro Devices. The Author(s). Published by Elsevier Ltd. 2021-10 2021-08-06 /pmc/articles/PMC8342313/ /pubmed/34364404 http://dx.doi.org/10.1016/S2468-2667(21)00162-6 Text en © 2021 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Articles Ryckman, Theresa Chin, Elizabeth T Prince, Lea Leidner, David Long, Elizabeth Studdert, David M Salomon, Joshua A Alarid-Escudero, Fernando Andrews, Jason R Goldhaber-Fiebert, Jeremy D Outbreaks of COVID-19 variants in US prisons: a mathematical modelling analysis of vaccination and reopening policies |
title | Outbreaks of COVID-19 variants in US prisons: a mathematical modelling analysis of vaccination and reopening policies |
title_full | Outbreaks of COVID-19 variants in US prisons: a mathematical modelling analysis of vaccination and reopening policies |
title_fullStr | Outbreaks of COVID-19 variants in US prisons: a mathematical modelling analysis of vaccination and reopening policies |
title_full_unstemmed | Outbreaks of COVID-19 variants in US prisons: a mathematical modelling analysis of vaccination and reopening policies |
title_short | Outbreaks of COVID-19 variants in US prisons: a mathematical modelling analysis of vaccination and reopening policies |
title_sort | outbreaks of covid-19 variants in us prisons: a mathematical modelling analysis of vaccination and reopening policies |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8342313/ https://www.ncbi.nlm.nih.gov/pubmed/34364404 http://dx.doi.org/10.1016/S2468-2667(21)00162-6 |
work_keys_str_mv | AT ryckmantheresa outbreaksofcovid19variantsinusprisonsamathematicalmodellinganalysisofvaccinationandreopeningpolicies AT chinelizabetht outbreaksofcovid19variantsinusprisonsamathematicalmodellinganalysisofvaccinationandreopeningpolicies AT princelea outbreaksofcovid19variantsinusprisonsamathematicalmodellinganalysisofvaccinationandreopeningpolicies AT leidnerdavid outbreaksofcovid19variantsinusprisonsamathematicalmodellinganalysisofvaccinationandreopeningpolicies AT longelizabeth outbreaksofcovid19variantsinusprisonsamathematicalmodellinganalysisofvaccinationandreopeningpolicies AT studdertdavidm outbreaksofcovid19variantsinusprisonsamathematicalmodellinganalysisofvaccinationandreopeningpolicies AT salomonjoshuaa outbreaksofcovid19variantsinusprisonsamathematicalmodellinganalysisofvaccinationandreopeningpolicies AT alaridescuderofernando outbreaksofcovid19variantsinusprisonsamathematicalmodellinganalysisofvaccinationandreopeningpolicies AT andrewsjasonr outbreaksofcovid19variantsinusprisonsamathematicalmodellinganalysisofvaccinationandreopeningpolicies AT goldhaberfiebertjeremyd outbreaksofcovid19variantsinusprisonsamathematicalmodellinganalysisofvaccinationandreopeningpolicies |