Cargando…

Coronavirus pandemic in the South Asia region: Health policy and economy trade-off

BACKGROUND: The South Asian Association for Regional Cooperation (SAARC) covers Afghanistan, Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan, and Sri Lanka. We conducted a comparative analysis of the trade-off between the health policies for the prevention of COVID-19 spread and the impact of t...

Descripción completa

Detalles Bibliográficos
Autores principales: Irfan, Furqan B, Telford, Ben, Hollon, Nick, Dehghani, Ali, Schukow, Casey, Syed, Ayesha Yasmeen, Rego, Ryan T, Waljee, Akbar K, Cunningham, William, Ahmed, Fahad Shabbir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Society of Global Health 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10159594/
https://www.ncbi.nlm.nih.gov/pubmed/37141526
http://dx.doi.org/10.7189/jogh.13.06014
_version_ 1785037138147934208
author Irfan, Furqan B
Telford, Ben
Hollon, Nick
Dehghani, Ali
Schukow, Casey
Syed, Ayesha Yasmeen
Rego, Ryan T
Waljee, Akbar K
Cunningham, William
Ahmed, Fahad Shabbir
author_facet Irfan, Furqan B
Telford, Ben
Hollon, Nick
Dehghani, Ali
Schukow, Casey
Syed, Ayesha Yasmeen
Rego, Ryan T
Waljee, Akbar K
Cunningham, William
Ahmed, Fahad Shabbir
author_sort Irfan, Furqan B
collection PubMed
description BACKGROUND: The South Asian Association for Regional Cooperation (SAARC) covers Afghanistan, Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan, and Sri Lanka. We conducted a comparative analysis of the trade-off between the health policies for the prevention of COVID-19 spread and the impact of these policies on the economies and livelihoods of the South Asia populations. METHODS: We analyzed COVID-19 data on epidemiology, public health and health policy, health system capacity, and macroeconomic indicators from January 2020 to March 2021 to determine temporal trends by conducting joinpoint regression analysis using average weekly percent change (AWPC). RESULTS: Bangladesh had the highest statistically significant AWPC for new COVID-19 cases (17.0; 95% CI = 7.7-27.1, P < 0.001), followed by the Maldives (12.9; 95% CI = 5.3-21.0, P < 0.001) and India (10.0; 95% CI = 8.4-11.5, P < 0.001). The AWPC for COVID-19 deaths was significant for India (6.5; 95% CI = 4.3-8.9, P < 0.001) and Bangladesh (6.1; 95% CI = 3.7-8.5, P < 0.001). Nepal (55.79%), and India (34.91%) had the second- and third-highest increase in unemployment, while Afghanistan (6.83%) and Pakistan (16.83%) had the lowest. The rate of change of real GDP had the highest decrease for Maldives (557.51%), and India (297.03%); Pakistan (46.46%) and Bangladesh (70.80%), however, had the lowest decrease. The government response stringency index for Pakistan had a see-saw pattern with a sharp decline followed by an increase in the government health policy restrictions that approximated the test-positivity trend. CONCLUSIONS: Unlike developed economies, the South Asian developing countries experienced a trade-off between health policy and their economies during the COVID-19 pandemic. South Asian countries (Nepal and India), with extended periods of lockdowns and a mismatch between temporal trends of government response stringency index and the test-positivity or disease incidence, had higher adverse economic effects, unemployment, and burden of COVID-19. Pakistan demonstrated targeted lockdowns with a rapid see-saw pattern of government health policy response that approximated the test-positivity trend and resulted in lesser adverse economic effects, unemployment, and burden of COVID-19.
format Online
Article
Text
id pubmed-10159594
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher International Society of Global Health
record_format MEDLINE/PubMed
spelling pubmed-101595942023-05-05 Coronavirus pandemic in the South Asia region: Health policy and economy trade-off Irfan, Furqan B Telford, Ben Hollon, Nick Dehghani, Ali Schukow, Casey Syed, Ayesha Yasmeen Rego, Ryan T Waljee, Akbar K Cunningham, William Ahmed, Fahad Shabbir J Glob Health Articles BACKGROUND: The South Asian Association for Regional Cooperation (SAARC) covers Afghanistan, Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan, and Sri Lanka. We conducted a comparative analysis of the trade-off between the health policies for the prevention of COVID-19 spread and the impact of these policies on the economies and livelihoods of the South Asia populations. METHODS: We analyzed COVID-19 data on epidemiology, public health and health policy, health system capacity, and macroeconomic indicators from January 2020 to March 2021 to determine temporal trends by conducting joinpoint regression analysis using average weekly percent change (AWPC). RESULTS: Bangladesh had the highest statistically significant AWPC for new COVID-19 cases (17.0; 95% CI = 7.7-27.1, P < 0.001), followed by the Maldives (12.9; 95% CI = 5.3-21.0, P < 0.001) and India (10.0; 95% CI = 8.4-11.5, P < 0.001). The AWPC for COVID-19 deaths was significant for India (6.5; 95% CI = 4.3-8.9, P < 0.001) and Bangladesh (6.1; 95% CI = 3.7-8.5, P < 0.001). Nepal (55.79%), and India (34.91%) had the second- and third-highest increase in unemployment, while Afghanistan (6.83%) and Pakistan (16.83%) had the lowest. The rate of change of real GDP had the highest decrease for Maldives (557.51%), and India (297.03%); Pakistan (46.46%) and Bangladesh (70.80%), however, had the lowest decrease. The government response stringency index for Pakistan had a see-saw pattern with a sharp decline followed by an increase in the government health policy restrictions that approximated the test-positivity trend. CONCLUSIONS: Unlike developed economies, the South Asian developing countries experienced a trade-off between health policy and their economies during the COVID-19 pandemic. South Asian countries (Nepal and India), with extended periods of lockdowns and a mismatch between temporal trends of government response stringency index and the test-positivity or disease incidence, had higher adverse economic effects, unemployment, and burden of COVID-19. Pakistan demonstrated targeted lockdowns with a rapid see-saw pattern of government health policy response that approximated the test-positivity trend and resulted in lesser adverse economic effects, unemployment, and burden of COVID-19. International Society of Global Health 2023-05-05 /pmc/articles/PMC10159594/ /pubmed/37141526 http://dx.doi.org/10.7189/jogh.13.06014 Text en Copyright © 2023 by the Journal of Global Health. All rights reserved. https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License.
spellingShingle Articles
Irfan, Furqan B
Telford, Ben
Hollon, Nick
Dehghani, Ali
Schukow, Casey
Syed, Ayesha Yasmeen
Rego, Ryan T
Waljee, Akbar K
Cunningham, William
Ahmed, Fahad Shabbir
Coronavirus pandemic in the South Asia region: Health policy and economy trade-off
title Coronavirus pandemic in the South Asia region: Health policy and economy trade-off
title_full Coronavirus pandemic in the South Asia region: Health policy and economy trade-off
title_fullStr Coronavirus pandemic in the South Asia region: Health policy and economy trade-off
title_full_unstemmed Coronavirus pandemic in the South Asia region: Health policy and economy trade-off
title_short Coronavirus pandemic in the South Asia region: Health policy and economy trade-off
title_sort coronavirus pandemic in the south asia region: health policy and economy trade-off
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10159594/
https://www.ncbi.nlm.nih.gov/pubmed/37141526
http://dx.doi.org/10.7189/jogh.13.06014
work_keys_str_mv AT irfanfurqanb coronaviruspandemicinthesouthasiaregionhealthpolicyandeconomytradeoff
AT telfordben coronaviruspandemicinthesouthasiaregionhealthpolicyandeconomytradeoff
AT hollonnick coronaviruspandemicinthesouthasiaregionhealthpolicyandeconomytradeoff
AT dehghaniali coronaviruspandemicinthesouthasiaregionhealthpolicyandeconomytradeoff
AT schukowcasey coronaviruspandemicinthesouthasiaregionhealthpolicyandeconomytradeoff
AT syedayeshayasmeen coronaviruspandemicinthesouthasiaregionhealthpolicyandeconomytradeoff
AT regoryant coronaviruspandemicinthesouthasiaregionhealthpolicyandeconomytradeoff
AT waljeeakbark coronaviruspandemicinthesouthasiaregionhealthpolicyandeconomytradeoff
AT cunninghamwilliam coronaviruspandemicinthesouthasiaregionhealthpolicyandeconomytradeoff
AT ahmedfahadshabbir coronaviruspandemicinthesouthasiaregionhealthpolicyandeconomytradeoff