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How do economic and public finance statuses affect policy responses during a pandemic? – learning from the COVID-19 first wave

BACKGROUND: In the time of a pandemic, it is typical for public health bodies to collaborate with epidemiologists to design health policies both at national and international levels for controlling the spread. A point largely overlooked in literature is the extent economic capability and public fina...

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Autores principales: Imam, Tasadduq, Uddin, Shahadat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9016378/
https://www.ncbi.nlm.nih.gov/pubmed/35440081
http://dx.doi.org/10.1186/s12889-022-13209-6
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author Imam, Tasadduq
Uddin, Shahadat
author_facet Imam, Tasadduq
Uddin, Shahadat
author_sort Imam, Tasadduq
collection PubMed
description BACKGROUND: In the time of a pandemic, it is typical for public health bodies to collaborate with epidemiologists to design health policies both at national and international levels for controlling the spread. A point largely overlooked in literature is the extent economic capability and public finance status can influence the policy responses of countries during a pandemic situation. This article fills this gap by considering 12 public health and 7 economic measures (i.e., policies) in 200 countries during the COVID-19 first wave, with countries grouped across income categories. METHODS: We apply statistical analysis, inclusive of regression models, to assess the impact of economic capability and public finance status on policy responses. Multiple open-access datasets are used in this research, and information from the hybrid sources are cumulated as samples. In our analysis, we consider variables including population characteristics (population size, density) and economic and public finance status (GDR, current account balance, government surplus/deficit) further to policy responses across public health and economic measures. Additionally, we consider infection rates across countries and the institution of the measures relative to infection rate. RESULTS: Results suggest that countries from all income groups have favoured public health measures like school closures and travel bans, and economic measures like influencing interest rates. However, strong economy countries have more adopted technological monitoring than low-income countries. Contrarily, low-income countries have preferred traditional measures like curfew and obligatory mask-wearing. GDP per capita was a statistically significant factor influencing the institution of both public health and economic measures. Government finance statuses like current account balance and surplus/deficit were also significant factors influencing economic measures. CONCLUSIONS: Overall, the research reveals that, further to biological characteristics, policymakers and epidemiologists can consider the economic and public finance contexts when suggesting health responses to a pandemic. This, in turn, calls for more international cooperation on economic terms further to public health terms. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-13209-6.
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spelling pubmed-90163782022-04-19 How do economic and public finance statuses affect policy responses during a pandemic? – learning from the COVID-19 first wave Imam, Tasadduq Uddin, Shahadat BMC Public Health Research BACKGROUND: In the time of a pandemic, it is typical for public health bodies to collaborate with epidemiologists to design health policies both at national and international levels for controlling the spread. A point largely overlooked in literature is the extent economic capability and public finance status can influence the policy responses of countries during a pandemic situation. This article fills this gap by considering 12 public health and 7 economic measures (i.e., policies) in 200 countries during the COVID-19 first wave, with countries grouped across income categories. METHODS: We apply statistical analysis, inclusive of regression models, to assess the impact of economic capability and public finance status on policy responses. Multiple open-access datasets are used in this research, and information from the hybrid sources are cumulated as samples. In our analysis, we consider variables including population characteristics (population size, density) and economic and public finance status (GDR, current account balance, government surplus/deficit) further to policy responses across public health and economic measures. Additionally, we consider infection rates across countries and the institution of the measures relative to infection rate. RESULTS: Results suggest that countries from all income groups have favoured public health measures like school closures and travel bans, and economic measures like influencing interest rates. However, strong economy countries have more adopted technological monitoring than low-income countries. Contrarily, low-income countries have preferred traditional measures like curfew and obligatory mask-wearing. GDP per capita was a statistically significant factor influencing the institution of both public health and economic measures. Government finance statuses like current account balance and surplus/deficit were also significant factors influencing economic measures. CONCLUSIONS: Overall, the research reveals that, further to biological characteristics, policymakers and epidemiologists can consider the economic and public finance contexts when suggesting health responses to a pandemic. This, in turn, calls for more international cooperation on economic terms further to public health terms. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-13209-6. BioMed Central 2022-04-19 /pmc/articles/PMC9016378/ /pubmed/35440081 http://dx.doi.org/10.1186/s12889-022-13209-6 Text en © The Author(s) 2022 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
Imam, Tasadduq
Uddin, Shahadat
How do economic and public finance statuses affect policy responses during a pandemic? – learning from the COVID-19 first wave
title How do economic and public finance statuses affect policy responses during a pandemic? – learning from the COVID-19 first wave
title_full How do economic and public finance statuses affect policy responses during a pandemic? – learning from the COVID-19 first wave
title_fullStr How do economic and public finance statuses affect policy responses during a pandemic? – learning from the COVID-19 first wave
title_full_unstemmed How do economic and public finance statuses affect policy responses during a pandemic? – learning from the COVID-19 first wave
title_short How do economic and public finance statuses affect policy responses during a pandemic? – learning from the COVID-19 first wave
title_sort how do economic and public finance statuses affect policy responses during a pandemic? – learning from the covid-19 first wave
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9016378/
https://www.ncbi.nlm.nih.gov/pubmed/35440081
http://dx.doi.org/10.1186/s12889-022-13209-6
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