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Comparing COVID-19 physical distancing policies: results from a physical distancing intensity coding framework for Botswana, India, Jamaica, Mozambique, Namibia, Ukraine, and the United States

BACKGROUND: Understanding the differences in timing and composition of physical distancing policies is important to evaluate the early global response to COVID-19. A physical distancing intensity monitoring framework comprising 16 domains was recently published to compare physical distancing approac...

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Autores principales: Lane, Jeff, Means, Arianna Rubin, Bardosh, Kevin, Shapoval, Anna, Vio, Ferruccio, Anderson, Clive, Cushnie, Anya, Forster, Norbert, Ledikwe, Jenny, O’Malley, Gabrielle, Mawandia, Shreshth, Parvez, Anwar, Perrone, Lucy, Mudender, Florindo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8541811/
https://www.ncbi.nlm.nih.gov/pubmed/34688295
http://dx.doi.org/10.1186/s12992-021-00770-9
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author Lane, Jeff
Means, Arianna Rubin
Bardosh, Kevin
Shapoval, Anna
Vio, Ferruccio
Anderson, Clive
Cushnie, Anya
Forster, Norbert
Ledikwe, Jenny
O’Malley, Gabrielle
Mawandia, Shreshth
Parvez, Anwar
Perrone, Lucy
Mudender, Florindo
author_facet Lane, Jeff
Means, Arianna Rubin
Bardosh, Kevin
Shapoval, Anna
Vio, Ferruccio
Anderson, Clive
Cushnie, Anya
Forster, Norbert
Ledikwe, Jenny
O’Malley, Gabrielle
Mawandia, Shreshth
Parvez, Anwar
Perrone, Lucy
Mudender, Florindo
author_sort Lane, Jeff
collection PubMed
description BACKGROUND: Understanding the differences in timing and composition of physical distancing policies is important to evaluate the early global response to COVID-19. A physical distancing intensity monitoring framework comprising 16 domains was recently published to compare physical distancing approaches across 12 U.S. States. We applied this framework to a diverse set of low and middle-income countries (LMICs) (Botswana, India, Jamaica, Mozambique, Namibia, and Ukraine) to test the appropriateness of this framework in the global context and to compare the policy responses in these LMICs with a sample of U.S. States during the first 100-days of the pandemic. RESULTS: The LMICs in our sample adopted wide ranging physical distancing policies. The highest peak daily physical distancing intensity during this period was: Botswana (4.60); India (4.40); Ukraine (4.40); Namibia (4.20); Mozambique (3.87), and Jamaica (3.80). The number of days each country stayed at peak policy intensity ranged from 12-days (Jamaica) to more than 67-days (Mozambique). We found some key similarities and differences, including substantial differences in whether and how countries expressly required certain groups to stay at home. Despite the much higher number of cases in the US, the physical distancing responses in our LMIC sample were generally more intense than in the U.S. States, but results vary depending on the U.S. State. The peak policy intensity for the U.S. 12-state average was 3.84, which would place it lower than every LMIC in this sample except Jamaica. The LMIC sample countries also reached peak physical distancing intensity earlier in outbreak progression compared to the U.S. states sample. The easing of physical distancing policies in the LMIC sample did not discernably correlate with change in COVID-19 incidence. CONCLUSIONS: This physical distancing intensity framework was appropriate for the LMIC context with only minor adaptations. This framework may be useful for ongoing monitoring of physical distancing policy approaches and for use in effectiveness analyses. This analysis helps to highlight the differing paths taken by the countries in this sample and may provide lessons to other countries regarding options for structuring physical distancing policies in response to COVID-19 and future outbreaks. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12992-021-00770-9.
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spelling pubmed-85418112021-10-25 Comparing COVID-19 physical distancing policies: results from a physical distancing intensity coding framework for Botswana, India, Jamaica, Mozambique, Namibia, Ukraine, and the United States Lane, Jeff Means, Arianna Rubin Bardosh, Kevin Shapoval, Anna Vio, Ferruccio Anderson, Clive Cushnie, Anya Forster, Norbert Ledikwe, Jenny O’Malley, Gabrielle Mawandia, Shreshth Parvez, Anwar Perrone, Lucy Mudender, Florindo Global Health Research BACKGROUND: Understanding the differences in timing and composition of physical distancing policies is important to evaluate the early global response to COVID-19. A physical distancing intensity monitoring framework comprising 16 domains was recently published to compare physical distancing approaches across 12 U.S. States. We applied this framework to a diverse set of low and middle-income countries (LMICs) (Botswana, India, Jamaica, Mozambique, Namibia, and Ukraine) to test the appropriateness of this framework in the global context and to compare the policy responses in these LMICs with a sample of U.S. States during the first 100-days of the pandemic. RESULTS: The LMICs in our sample adopted wide ranging physical distancing policies. The highest peak daily physical distancing intensity during this period was: Botswana (4.60); India (4.40); Ukraine (4.40); Namibia (4.20); Mozambique (3.87), and Jamaica (3.80). The number of days each country stayed at peak policy intensity ranged from 12-days (Jamaica) to more than 67-days (Mozambique). We found some key similarities and differences, including substantial differences in whether and how countries expressly required certain groups to stay at home. Despite the much higher number of cases in the US, the physical distancing responses in our LMIC sample were generally more intense than in the U.S. States, but results vary depending on the U.S. State. The peak policy intensity for the U.S. 12-state average was 3.84, which would place it lower than every LMIC in this sample except Jamaica. The LMIC sample countries also reached peak physical distancing intensity earlier in outbreak progression compared to the U.S. states sample. The easing of physical distancing policies in the LMIC sample did not discernably correlate with change in COVID-19 incidence. CONCLUSIONS: This physical distancing intensity framework was appropriate for the LMIC context with only minor adaptations. This framework may be useful for ongoing monitoring of physical distancing policy approaches and for use in effectiveness analyses. This analysis helps to highlight the differing paths taken by the countries in this sample and may provide lessons to other countries regarding options for structuring physical distancing policies in response to COVID-19 and future outbreaks. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12992-021-00770-9. BioMed Central 2021-10-23 /pmc/articles/PMC8541811/ /pubmed/34688295 http://dx.doi.org/10.1186/s12992-021-00770-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Lane, Jeff
Means, Arianna Rubin
Bardosh, Kevin
Shapoval, Anna
Vio, Ferruccio
Anderson, Clive
Cushnie, Anya
Forster, Norbert
Ledikwe, Jenny
O’Malley, Gabrielle
Mawandia, Shreshth
Parvez, Anwar
Perrone, Lucy
Mudender, Florindo
Comparing COVID-19 physical distancing policies: results from a physical distancing intensity coding framework for Botswana, India, Jamaica, Mozambique, Namibia, Ukraine, and the United States
title Comparing COVID-19 physical distancing policies: results from a physical distancing intensity coding framework for Botswana, India, Jamaica, Mozambique, Namibia, Ukraine, and the United States
title_full Comparing COVID-19 physical distancing policies: results from a physical distancing intensity coding framework for Botswana, India, Jamaica, Mozambique, Namibia, Ukraine, and the United States
title_fullStr Comparing COVID-19 physical distancing policies: results from a physical distancing intensity coding framework for Botswana, India, Jamaica, Mozambique, Namibia, Ukraine, and the United States
title_full_unstemmed Comparing COVID-19 physical distancing policies: results from a physical distancing intensity coding framework for Botswana, India, Jamaica, Mozambique, Namibia, Ukraine, and the United States
title_short Comparing COVID-19 physical distancing policies: results from a physical distancing intensity coding framework for Botswana, India, Jamaica, Mozambique, Namibia, Ukraine, and the United States
title_sort comparing covid-19 physical distancing policies: results from a physical distancing intensity coding framework for botswana, india, jamaica, mozambique, namibia, ukraine, and the united states
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8541811/
https://www.ncbi.nlm.nih.gov/pubmed/34688295
http://dx.doi.org/10.1186/s12992-021-00770-9
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