Skip to main content
Top
Published in: BMC Public Health 1/2022

Open Access 01-12-2022 | Public Health | Research

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

Authors: Tasadduq Imam, Shahadat Uddin

Published in: BMC Public Health | Issue 1/2022

Login to get access

Abstract

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.
Appendix
Available only for authorised users
Literature
1.
go back to reference Bailey SJ. Strategic public finance. New York: Macmillan International Higher Education; 2017. Bailey SJ. Strategic public finance. New York: Macmillan International Higher Education; 2017.
2.
go back to reference Jennings LC. Influenza a(H1N1)09: New Zealand’s response to the pandemic threat. J N Z Med Assoc. 2009;122(1298):11–6. Jennings LC. Influenza a(H1N1)09: New Zealand’s response to the pandemic threat. J N Z Med Assoc. 2009;122(1298):11–6.
3.
go back to reference Brownstein JS, Freifeld CC, Chan EH, Keller M, Sonricker AL, Mekaru SR, et al. Information technology and global surveillance of cases of 2009 H1N1 influenza. N Engl J Med. 2010;362(18):1731–5.CrossRefPubMedPubMedCentral Brownstein JS, Freifeld CC, Chan EH, Keller M, Sonricker AL, Mekaru SR, et al. Information technology and global surveillance of cases of 2009 H1N1 influenza. N Engl J Med. 2010;362(18):1731–5.CrossRefPubMedPubMedCentral
4.
go back to reference Fineberg HV. Pandemic preparedness and response — lessons from the H1N1 influenza of 2009. N Engl J Med. 2014;370(14):1335–42.CrossRefPubMed Fineberg HV. Pandemic preparedness and response — lessons from the H1N1 influenza of 2009. N Engl J Med. 2014;370(14):1335–42.CrossRefPubMed
5.
go back to reference Freimuth VS, Musa D, Hilyard K, Quinn SC, Kim K. Trust during the early stages of the 2009 H1N1 pandemic. J Health Commun. 2014;19(3):321–39.CrossRefPubMed Freimuth VS, Musa D, Hilyard K, Quinn SC, Kim K. Trust during the early stages of the 2009 H1N1 pandemic. J Health Commun. 2014;19(3):321–39.CrossRefPubMed
6.
go back to reference Chambers J, Barker K, Rouse A. Reflections on the UK’s approach to the 2009 swine flu pandemic: conflicts between national government and the local management of the public health response. Health Place. 2012;18(4):737–45.CrossRefPubMed Chambers J, Barker K, Rouse A. Reflections on the UK’s approach to the 2009 swine flu pandemic: conflicts between national government and the local management of the public health response. Health Place. 2012;18(4):737–45.CrossRefPubMed
7.
go back to reference Waller E, Davis M, Stephenson N. Australia’s pandemic influenza ‘protect’ phase: emerging out of the fog of pandemic. Crit Public Health. 2016;26(1):99–113.CrossRef Waller E, Davis M, Stephenson N. Australia’s pandemic influenza ‘protect’ phase: emerging out of the fog of pandemic. Crit Public Health. 2016;26(1):99–113.CrossRef
9.
go back to reference Liang W, Feng L, Xu C, Xiang N, Zhang Y, Shu Y, et al. Response to the first wave of pandemic (H1N1) 2009: experiences and lessons learnt from China. Public Health. 2012;126(5):427–36.CrossRefPubMed Liang W, Feng L, Xu C, Xiang N, Zhang Y, Shu Y, et al. Response to the first wave of pandemic (H1N1) 2009: experiences and lessons learnt from China. Public Health. 2012;126(5):427–36.CrossRefPubMed
10.
go back to reference Tang X, Du R, Wang R, Cao T, Guan L, Yang C, et al. Comparison of hospitalized patients with ARDS caused by COVID-19 and H1N1. Chest. 2020;158(1):195–205.CrossRefPubMed Tang X, Du R, Wang R, Cao T, Guan L, Yang C, et al. Comparison of hospitalized patients with ARDS caused by COVID-19 and H1N1. Chest. 2020;158(1):195–205.CrossRefPubMed
11.
go back to reference Fisman DN, Savage R, Gubbay J, Achonu C, Akwar H, Farrell DJ, et al. Older age and a reduced likelihood of 2009 H1N1 virus infection. N Engl J Med. 2009;361(20):2000–1.CrossRefPubMed Fisman DN, Savage R, Gubbay J, Achonu C, Akwar H, Farrell DJ, et al. Older age and a reduced likelihood of 2009 H1N1 virus infection. N Engl J Med. 2009;361(20):2000–1.CrossRefPubMed
12.
15.
go back to reference Imai H. Trust is a key factor in the willingness of health professionals to work during the COVID-19 outbreak: experience from the H1N1 pandemic in Japan 2009. Psychiatry Clin Neurosci. 2020;74(5):329–30.CrossRefPubMed Imai H. Trust is a key factor in the willingness of health professionals to work during the COVID-19 outbreak: experience from the H1N1 pandemic in Japan 2009. Psychiatry Clin Neurosci. 2020;74(5):329–30.CrossRefPubMed
16.
go back to reference Hale T, Angrist N, Kira B, Petherick A, Phillips T, Webster S. Variation in government responses to COVID-19. 2020. Report no.: version 6.0. Blavatnik School of Government Working Paper. Hale T, Angrist N, Kira B, Petherick A, Phillips T, Webster S. Variation in government responses to COVID-19. 2020. Report no.: version 6.0. Blavatnik School of Government Working Paper.
17.
go back to reference Fang Y, Nie Y, Penny M. Transmission dynamics of the COVID-19 outbreak and effectiveness of government interventions: a data-driven analysis. J Med Virol. 2020;92(6):645–59.CrossRefPubMed Fang Y, Nie Y, Penny M. Transmission dynamics of the COVID-19 outbreak and effectiveness of government interventions: a data-driven analysis. J Med Virol. 2020;92(6):645–59.CrossRefPubMed
18.
go back to reference McKibbin WJ, Fernando R. The global macroeconomic impacts of COVID-19: seven scenarios. Rochester: Social Science Research Network; 2020. Report No.: ID 3547729 McKibbin WJ, Fernando R. The global macroeconomic impacts of COVID-19: seven scenarios. Rochester: Social Science Research Network; 2020. Report No.: ID 3547729
19.
go back to reference Hopman J, Allegranzi B, Mehtar S. Managing COVID-19 in low- and middle-income countries. JAMA. 2020;323(16):1549–50.CrossRefPubMed Hopman J, Allegranzi B, Mehtar S. Managing COVID-19 in low- and middle-income countries. JAMA. 2020;323(16):1549–50.CrossRefPubMed
20.
go back to reference Wang J, Wang Z, Liu X, Yang X, Zheng M, Bai X. The impacts of a COVID-19 epidemic focus and general belief in a just world on individual emotions. Pers Individ Differ. 2020;168:110349.CrossRef Wang J, Wang Z, Liu X, Yang X, Zheng M, Bai X. The impacts of a COVID-19 epidemic focus and general belief in a just world on individual emotions. Pers Individ Differ. 2020;168:110349.CrossRef
21.
go back to reference Lee VJ, Chiew CJ, Khong WX. Interrupting transmission of COVID-19: lessons from containment efforts in Singapore. J Travel Med. 2020;27(3):taaa039.CrossRefPubMed Lee VJ, Chiew CJ, Khong WX. Interrupting transmission of COVID-19: lessons from containment efforts in Singapore. J Travel Med. 2020;27(3):taaa039.CrossRefPubMed
22.
go back to reference Oshitani H, Kamigaki T, Suzuki A. Major issues and challenges of influenza pandemic preparedness in developing countries. Emerg Infect Dis. 2008;14(6):875–80.CrossRefPubMedPubMedCentral Oshitani H, Kamigaki T, Suzuki A. Major issues and challenges of influenza pandemic preparedness in developing countries. Emerg Infect Dis. 2008;14(6):875–80.CrossRefPubMedPubMedCentral
23.
go back to reference Aung MN, Koyanagi Y, Yuasa M. Health inequality among different economies during early phase of COVID-19 pandemic. 2020. Report No.: PREPRINT (Version 1) available at Research Square.CrossRef Aung MN, Koyanagi Y, Yuasa M. Health inequality among different economies during early phase of COVID-19 pandemic. 2020. Report No.: PREPRINT (Version 1) available at Research Square.CrossRef
31.
go back to reference Hartley DM, Perencevich EN. Public health interventions for COVID-19: emerging evidence and implications for an evolving public health crisis. JAMA. 2020;323(19):1908–9.CrossRefPubMed Hartley DM, Perencevich EN. Public health interventions for COVID-19: emerging evidence and implications for an evolving public health crisis. JAMA. 2020;323(19):1908–9.CrossRefPubMed
32.
go back to reference An BY, Porcher S, Tang S-Y, Kim EE. Policy design for COVID-19: worldwide evidence on the efficacies of early mask mandates and other policy interventions. Public Adm Rev. 2021;81(6):1157–82.CrossRefPubMedPubMedCentral An BY, Porcher S, Tang S-Y, Kim EE. Policy design for COVID-19: worldwide evidence on the efficacies of early mask mandates and other policy interventions. Public Adm Rev. 2021;81(6):1157–82.CrossRefPubMedPubMedCentral
36.
go back to reference Hanafiah KM, Ng C, Wan AM. Effective communication at different phases of COVID-19 prevention: roles, enablers and barriers. Viruses. 2021;13(6):1058.CrossRef Hanafiah KM, Ng C, Wan AM. Effective communication at different phases of COVID-19 prevention: roles, enablers and barriers. Viruses. 2021;13(6):1058.CrossRef
37.
go back to reference Ahmed MAA, Ly BA, Millimouno TM, Alami H, Faye CL, Boukary S, et al. Willingness to comply with physical distancing measures against COVID-19 in four African countries. BMJ Glob Health. 2020;5(9):e003632.CrossRef Ahmed MAA, Ly BA, Millimouno TM, Alami H, Faye CL, Boukary S, et al. Willingness to comply with physical distancing measures against COVID-19 in four African countries. BMJ Glob Health. 2020;5(9):e003632.CrossRef
38.
go back to reference Adom D, Adu-Mensah J, Sekyere PA. Hand-to-mouth work culture and the COVID-19 lockdown restrictions: experiences of selected informal sector workers in Kumasi, Ghana. Res J Adv Human. 2020;1(2):45–63. Adom D, Adu-Mensah J, Sekyere PA. Hand-to-mouth work culture and the COVID-19 lockdown restrictions: experiences of selected informal sector workers in Kumasi, Ghana. Res J Adv Human. 2020;1(2):45–63.
39.
go back to reference Mohanty B, Chughtai A, Rabhi F. Use of Mobile apps for epidemic surveillance and response – availability and gaps. Global Biosecurity. 2019;1(2):37–49.CrossRef Mohanty B, Chughtai A, Rabhi F. Use of Mobile apps for epidemic surveillance and response – availability and gaps. Global Biosecurity. 2019;1(2):37–49.CrossRef
41.
go back to reference Urbaczewski A, Lee Y-J. Technology and surveillance in times of crisis, and beyond: lessons from Mobile tracking technology during the Covid-19 outbreak. Rochester: Social Science Research Network; 2020. Report No.: ID 3614145 Urbaczewski A, Lee Y-J. Technology and surveillance in times of crisis, and beyond: lessons from Mobile tracking technology during the Covid-19 outbreak. Rochester: Social Science Research Network; 2020. Report No.: ID 3614145
43.
go back to reference Amaratunga T, Cho YI, Jayatilleke AU, Ichikawa M, Nakahara S, Marasinghe A. Hospital based injury surveillance system for low and middle income countries. J Med Inform Technol. 2009;13:101–6. Amaratunga T, Cho YI, Jayatilleke AU, Ichikawa M, Nakahara S, Marasinghe A. Hospital based injury surveillance system for low and middle income countries. J Med Inform Technol. 2009;13:101–6.
44.
go back to reference Sayed S, Cherniak W, Lawler M, Tan SY, El Sadr W, Wolf N, et al. Improving pathology and laboratory medicine in low-income and middle-income countries: roadmap to solutions. Lancet. 2018;391(10133):1939–52.CrossRefPubMed Sayed S, Cherniak W, Lawler M, Tan SY, El Sadr W, Wolf N, et al. Improving pathology and laboratory medicine in low-income and middle-income countries: roadmap to solutions. Lancet. 2018;391(10133):1939–52.CrossRefPubMed
45.
go back to reference Cowling BJ, Zhou Y, Ip DKM, Leung GM, Aiello AE. Face masks to prevent transmission of influenza virus: a systematic review. Epidemiol Infect. 2010;138(4):449–56.CrossRefPubMed Cowling BJ, Zhou Y, Ip DKM, Leung GM, Aiello AE. Face masks to prevent transmission of influenza virus: a systematic review. Epidemiol Infect. 2010;138(4):449–56.CrossRefPubMed
47.
go back to reference Kok DQR, Woo WT. Saving lives and livelihoods in the COVID-19 pandemic: what have we learned, particularly from Asia? Asian Econ Papers. 2021;20(1):1–29.CrossRef Kok DQR, Woo WT. Saving lives and livelihoods in the COVID-19 pandemic: what have we learned, particularly from Asia? Asian Econ Papers. 2021;20(1):1–29.CrossRef
Metadata
Title
How do economic and public finance statuses affect policy responses during a pandemic? – learning from the COVID-19 first wave
Authors
Tasadduq Imam
Shahadat Uddin
Publication date
01-12-2022
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2022
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-022-13209-6

Other articles of this Issue 1/2022

BMC Public Health 1/2022 Go to the issue