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Interstate disparities in the performances in combatting COVID-19 in India: efficiency estimates across states

BACKGROUND: Currently, the novel coronavirus or COVID-19 pandemic poses the greatest global health threat worldwide, and India is no exception. As an overpopulated developing country, it is very difficult to maintain social distancing to restrict the spread of the disease in India. Under these circu...

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Autores principales: Maity, Shrabanti, Ghosh, Nandini, Barlaskar, Ummey Rummana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7770151/
https://www.ncbi.nlm.nih.gov/pubmed/33372608
http://dx.doi.org/10.1186/s12889-020-10051-6
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author Maity, Shrabanti
Ghosh, Nandini
Barlaskar, Ummey Rummana
author_facet Maity, Shrabanti
Ghosh, Nandini
Barlaskar, Ummey Rummana
author_sort Maity, Shrabanti
collection PubMed
description BACKGROUND: Currently, the novel coronavirus or COVID-19 pandemic poses the greatest global health threat worldwide, and India is no exception. As an overpopulated developing country, it is very difficult to maintain social distancing to restrict the spread of the disease in India. Under these circumstances, it is necessary to examine India’s interstate performances to combat COVID-19. This study aims to explore twin objectives: to investigate the comparative efficiency of Indian states to combat COVID-19 and to unfold the factors responsible for interstate disparities in the efficiency in combatting COVID-19. METHODS: The stochastic production frontier model was utilized for data analysis. The empirical analysis was facilitated by the inefficiency effects model, revealing the factors that influence interstate variability in disease management efficiency. Three types of variables, namely, output, inputs, and exogenous, were used to measure health system efficiency. The relevant variables were compiled from secondary sources. The recovery rate from COVID-19 was the output variable and health infrastructures were considered as the input variable. On the contrary, the non-health determinants considered to have a strong influence on the efficiency of states’ disease management, but could not be considered as input variables, were recognised as exogenous variables. These exogenous variables were specifically used for the inefficiency analysis. RESULTS: The empirical results demonstrated the existence of disparities across Indian states in the level of efficiency in combatting COVID-19. A non-trivial outcome of this study was that Tamil Nadu was the best performer and Manipur was the worst performer of the investigated states. Variables such as elderly people, sex ratio, literacy rate, population density, influenced the efficiency of states, and thus, affected the recovery rate. CONCLUSION: This study argues for the efficient utilisation of the existing health infrastructures in India. Simultaneously, the study suggests improving the health infrastructure to achieve a long-run benefit. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-020-10051-6.
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spelling pubmed-77701512020-12-29 Interstate disparities in the performances in combatting COVID-19 in India: efficiency estimates across states Maity, Shrabanti Ghosh, Nandini Barlaskar, Ummey Rummana BMC Public Health Research Article BACKGROUND: Currently, the novel coronavirus or COVID-19 pandemic poses the greatest global health threat worldwide, and India is no exception. As an overpopulated developing country, it is very difficult to maintain social distancing to restrict the spread of the disease in India. Under these circumstances, it is necessary to examine India’s interstate performances to combat COVID-19. This study aims to explore twin objectives: to investigate the comparative efficiency of Indian states to combat COVID-19 and to unfold the factors responsible for interstate disparities in the efficiency in combatting COVID-19. METHODS: The stochastic production frontier model was utilized for data analysis. The empirical analysis was facilitated by the inefficiency effects model, revealing the factors that influence interstate variability in disease management efficiency. Three types of variables, namely, output, inputs, and exogenous, were used to measure health system efficiency. The relevant variables were compiled from secondary sources. The recovery rate from COVID-19 was the output variable and health infrastructures were considered as the input variable. On the contrary, the non-health determinants considered to have a strong influence on the efficiency of states’ disease management, but could not be considered as input variables, were recognised as exogenous variables. These exogenous variables were specifically used for the inefficiency analysis. RESULTS: The empirical results demonstrated the existence of disparities across Indian states in the level of efficiency in combatting COVID-19. A non-trivial outcome of this study was that Tamil Nadu was the best performer and Manipur was the worst performer of the investigated states. Variables such as elderly people, sex ratio, literacy rate, population density, influenced the efficiency of states, and thus, affected the recovery rate. CONCLUSION: This study argues for the efficient utilisation of the existing health infrastructures in India. Simultaneously, the study suggests improving the health infrastructure to achieve a long-run benefit. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-020-10051-6. BioMed Central 2020-12-29 /pmc/articles/PMC7770151/ /pubmed/33372608 http://dx.doi.org/10.1186/s12889-020-10051-6 Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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 Article
Maity, Shrabanti
Ghosh, Nandini
Barlaskar, Ummey Rummana
Interstate disparities in the performances in combatting COVID-19 in India: efficiency estimates across states
title Interstate disparities in the performances in combatting COVID-19 in India: efficiency estimates across states
title_full Interstate disparities in the performances in combatting COVID-19 in India: efficiency estimates across states
title_fullStr Interstate disparities in the performances in combatting COVID-19 in India: efficiency estimates across states
title_full_unstemmed Interstate disparities in the performances in combatting COVID-19 in India: efficiency estimates across states
title_short Interstate disparities in the performances in combatting COVID-19 in India: efficiency estimates across states
title_sort interstate disparities in the performances in combatting covid-19 in india: efficiency estimates across states
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7770151/
https://www.ncbi.nlm.nih.gov/pubmed/33372608
http://dx.doi.org/10.1186/s12889-020-10051-6
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