Estimating countries preparedness and vulnerability for the COVID-19 pandemic: Elaboration and approbation of overall index

Authors

DOI:

https://doi.org/10.18559/rielf.2023.1.10

Keywords:

pandemic preparedness, vulnerability, pandemic resistance, countries rating, multidimensional index

Abstract

Due to the outbreak of the COVID-19 pandemic and its social-economic conse­quences, the estimation role of preparedness and vulnerability has risen significantly. This paper complements existing investigations in the field of international comparisons and multidimensional rankings, presenting the results of a complex evaluation of the national level of preparedness and vulnerability in terms of pandemics based on the multidimen­sional index proposed by the authors. The main objective of the proposed research was to estimate the national level of preparedness and vulnerability for the pandemic from a complex point of view. An overall multidimensional index was calculated and used for complying countries ’ ranking based on the elaborated methodology. The proposed index allowed the authors to conclude that there is a significant difference in the overall level of preparedness for a pandemic and disproportion between certain system elements for each country. Analysis of existing databases, open sources, and reports highlighted the necessity to extend the existing list of indicators to evaluate the level of vulnerability. The expedi­ency of using the proposed index is proved by the statistical correlation analysis between subindexes and the level of morbidity and mortality due to the COVID-19. The proposed overall index is used for multidimensional grouping and cluster analysis to estimate the economic consequences of the pandemic. The results of the cluster analysis allowed creating four groups of the countries, namely : (1) highly vulnerable countries with a low level of preparedness ; (2) countries with a low level of preparedness and vulnerability ; (3) coun­tries with a high level of preparedness and vulnerability ; (4) countries with a low level of vulnerability and a high level of preparedness. The comparative analysis of economical outcomes (such as annual change of GDP in 2020–2019 to average annual GDP change for 2019–2017), unemployment rate change, and inflation change presented in the research highlighted disproportions of the pandemic influence by country’s groups.

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References

Ali, I. (2020). COVID-19: Are we ready for the second wave? Disaster Medicine and Public Health Preparedness, 14(5), e16-e18. https://doi.org/10.1017/dmp.2020.149
View in Google Scholar

Alyammahi, S. K., Abdinn, S. M., Alhamad, D. W., Elgendy, S. M., Altell Hany, A. T., & Omar, A. (2021). The dynamic association between COVID-19 and chronic disorders: An updated insight into prevalence, mechanisms and therapeutic modalities. Infection, Genetics and Evolution, 87, 104647. https://doi.org/10.1016/j.meegid.2020.104647
View in Google Scholar

Amer, F., Hammoud, S., Farran, B., Boncz, I., & Endrei, D. (2020). Assessment of countries’ preparedness and lockdown effectiveness in fighting COVID-19. Disaster Medicine and Public Health Preparedness, 15(2), e15-e22. https://doi.org/10.1017/dmp.2020.217
View in Google Scholar

Bell J. A., & Nuzzo J. B. (2021). Global health security index: Advancing collective action and accountability amid global crisis, 2021. www.GHSIndex.org
View in Google Scholar

Bhadra, A., Mukherjee, A., & Sarkar, K. (2021). Impact of population density on COVID-19 infected and mortality rate in India. Modeling Earth Systems and Environment, 7(1), 623–629. https://doi.org/10.1007/s40808-020-00984-7
View in Google Scholar

Boisson, S., Engels, D., Gordon, B. A., Medlicott, K. O., Neira, M. P., Montresor, A., Solomon, A. W., & Velleman. Y. (2016). Water, sanitation and hygiene for accelerating and sustaining progress on neglected tropical diseases: A new global strategy 2015–20. International Health, 8, i19–i21. https://doi.org/10.1093/inthealth/ihv073
View in Google Scholar

Bretscher, L., Hsu, A., Simasek, P., & Tamoni, A. (2020). The supply channel of uncertainty shocks and the cross-section of returns: Evidence from the COVID-19 crisis. Georgia Tech Scheller College of Business Research Paper No. 3588418. https://papers.ssrn.com/sol3/Papers.cfm?abstract_id=3588418
View in Google Scholar

Carozzi, F., Provenzano, S., & Roth, S. (2020). Urban density and COVID-19. Institute of Labor Economics. https://docs.iza.org/dp13440.pdf
View in Google Scholar

Chaudhry, R., Dranitsaris, G., Mubashir, T., Bartoszko, Ju., & Riazi, Sh. (2020). A country level analysis measuring the impact of government actions, country preparedness and socioeconomic factors on COVID-19 mortality and related health outcomes. eClini-calMedicine, 25, 100464. https://doi.org/10.1016/j.eclinm.2020.100464
View in Google Scholar

Desye, B. (2021). COVID-19 pandemic and water, sanitation, and hygiene: Impacts, challenges, and mitigation strategies. Environmental Health Insights, 15. https://doi.org/10.1177/11786302211029447
View in Google Scholar

Food and Agriculture Organization of the United Nations. (2021). Data. https://www.fao.org/faostat/ru/#data/FS
View in Google Scholar

Fung, I. C. H., & Cairncross, S. (2006). Effectiveness of handwashing in preventing SARS: A review. Tropical Medicine & International Health, 11, 1749–1758. https://doi.org/10.1111/j.1365-3156.2006.01734.x
View in Google Scholar

Gilbert, M., Pullano, G., Pinotti, F., Valdano, E., Poletto, Ch., Boelle, P. Y., D’Ortenzio, E., Yazdanpanah, Y., Eholie, S. P., Altmann, M., Gutierrez, B., Kraemer. M. U. G., & Colizza, V. (2020). Preparedness and vulnerability of African countries against importations of COVID19: A modelling study. Lancet, 395, 871–877. https://doi.org/10.1016/S0140-6736(20)30411-6
View in Google Scholar

Grasselli, G., Greco, M., & Zanella, A. (2020). Risk factors associated with mortality among patients with COVID-19 in intensive care units in Lombardy, Italy. JAMA Internal Medicine, 180, 1345–1355. https://doi.org/10.1001/jamainternmed.2020.3539
View in Google Scholar

Hamidi, S., Sabouri S., & Ewing, R. (2020). Does density aggravate the COVID-19 pandemic? Journal of the American Planning Association, 86(4), 495–509. https://doi.org/10.1080/01944363.2020.1777891
View in Google Scholar

Holman, N., Knighton, P., Kar, P., O’Keefe, J., Curley, M., Weaver, A., Barron, E., Bakhai, C., Khunti, K., Wareham, N. J., Sattar, N., Young, B., & Valabhji, J. (2020). Risk factors for COVID-19-related mortality in people with type 1 and type 2 diabetes in England: A population-based cohort study. Lancet Diabetes Endocrinol, 8(10), 823–833. https://doi.org/10.1016/S2213-8587(20)30271-0
View in Google Scholar

Howard, G., Bartram, J., Brocklehurst, C., Colford, J. M., Jr, Costa, F., Cunliffe, D., Dreibelbis, R., Eisenberg, J. N. S., Evans, B., Girones, R., Hrudey, S., Willetts, J., & Wright, C. Y. (2020). COVID-19: Urgent actions, critical reflections and future relevance of ‘WaSH’: Lessons for the current and future pandemics. Journal of Water & Health, 18(5), 613–630. https://doi.org/10.2166/wh.2020.162
View in Google Scholar

International Monetary Fund. (2020). World economic outlook: The great lockdown. https://www.imf.org/en/Publications/WEO/Issues/2020/04/14/weo-april-2020
View in Google Scholar

Irawan, A., & Alamsyah, H. (2021). The COVID-19’s economic crisis and its solution: A literature review. Etikonomi, 20(1), 77–92. https://doi.org/10.15408/etk.v20i1.16870
View in Google Scholar

James, J. J. (2020). COVID-19: From epidemic to pandemic. Disaster Medicine and Public Health Preparedness, 14(6), e3–e5. https://doi.org/10.1017/dmp.2020.84
View in Google Scholar

Jones, K. E., Patel, N. G., Levy, M. A., Streygard, A., Balk, D., Gittleman, J. L., & Daszak, P. (2008). Global trends in emerging infectious diseases. Nature, 451, 990–993. https://doi.org/10.1038/nature06536
View in Google Scholar

Kieny, M. P., Rottingen, J. A., & Farrar, J. (2016). The need for global R&D coordination for infectious diseases with epidemic potential. Lancet, 388, 460–461. https://doi.org/10.1016/S0140-6736(16)31152-7
View in Google Scholar

Kovacevic M., & Jahic, A. (2020). COVID-19 and human development: Exploring global preparedness and vulnerability. https://www.undp.org/sites/g/files/zskgke326/files/migration/jm/e3f5b57e028478537cac7243b8b985143d4a1ca8cafdafb86708d639fbc31670.pdf
View in Google Scholar

Kruk, M. E., & Freedman, L. P. (2008). Assessing health system performance in devel¬oping countries: A review of the literature. Health Policy, 85(3), 263–276. https://doi.org/10.1016/j.healthpol.2007.09.003
View in Google Scholar

Laires, P. A., Dias, S., Gama, A., Moniz, M., Pedro, A. R., Soares, P., Aguiar, P., & Nunes, C. (2021). The association between chronic disease and serious COVID-19 outcomes and its influence on risk perception: Survey study and database analysis. JMIR Public Health and Surveillance, 7(1), e22794. https://doi.org/10.2196/22794
View in Google Scholar

Mahler, D. G., Lakner, C., Aguilar, R. A. C., & Wu, H. (2020). The impact of COVID-19 (Coronavirus) on global poverty: Why Sub-Saharan Africa might be the region hardest hit. https://blogs.worldbank.org/opendata/impact-covid-19-coronavirus-global-poverty-why-sub-saharan-africa-might-be-region-hardest
View in Google Scholar

McCarthy, N. (2020). The countries with the most critical care beds per capita. https://www.forbes.com/sites/niallmccarthy/2020/03/12/the-countries-with-the-most-critical-carebeds-per-capita-infographic/#6e497d7f7f86
View in Google Scholar

McMichael, A. J. (2004). Environmental and social influences on emerging infectious diseases: Past, present and future. Philosophical Transactions of the Royal Society B: Biological Sciences, 359, 1049–1058. https://doi.org/10.1098/rstb.2004.1480
View in Google Scholar

Mei, Y., & Hu, J. (2020). Preparedness is essential for Western Pacific Islands during the COVID-19 pandemic. Disaster Medicine and Public Health Preparedness, 14(6), e26–e30. https://doi.org/10.1017/dmp.2020.102
View in Google Scholar

Morse, S. S., Mazet, J. A., Woolhouse, M., Parrish, C., Carrol, D., Karesh, W. B., Zambrana-Torrelio, C., Lipkin, W. I., & Daszak, P. (2012). Prediction and prevention of the next pan-demic zoonosis. Lancet, 380, 1956–1965. https://doi.org/10.1016/S0140-6736(12)61684-5
View in Google Scholar

Oppenheim, B., Gallivan, M., Madhav, N. K., Brown, N., Serhiyenko, V., Wolfe, N. D., & Ayscue, P. (2019). Assessing global preparedness for the next pandemic: Development and application of an Epidemic Preparedness Index. BMJ Global Health, 4(1), e001157. https://doi.org/10.1136/bmjgh-2018-001157
View in Google Scholar

Pueyo, T. (2020). Coronavirus: Why you must act now. https://tomaspueyo.medium.com/coronavirus-act-today-or-people-will-die-f4d3d9cd99ca
View in Google Scholar

Rabie, T., & Curtis, V. (2006). Hand washing and risk of respiratory infections: A quantitative systematic review. Tropical Medicine & International Health, 11(3), 258–267. https://doi.org/10.1111/j.1365-3156.2006.01568.x
View in Google Scholar

Remuzzi, A., & Remuzzi, G. (2020). COVID-19 and Italy: What next? Lancet, 395, 1225–1228. https://doi.org/10.1016/S01406736(20)30627-9
View in Google Scholar

Reynolds, B. W., & Seeger, M. (2005). Crisis and emergency risk communication as an integrative model. Journal of Health Communication, 10(1), 43–55. https://doi.org/10.1080/10810730590904571
View in Google Scholar

Riddle, M. C. (2020). Diabetes and COVID-19: Moving from news to knowledge and a glu-cose hypothesis. Diabetes Care, 43(10), 2336–2338. https://doi.org/10.2337/dci20-0045
View in Google Scholar

Ruff, C., Ruiz, M., Matheu, A., Juica, P., Mminchenkova, L., Flores, T., & Abbas, N. (2020). La competitividad economica, desde el impacto de la movilidad internacional de la educacion terciaria. Revista Ibérica de Sistemas e Tecnologias de Informação, 36, 14–29. https://dialnet.unirioja.es/servlet/articulo?codigo=8550427
View in Google Scholar

Tantrakarnapa, K., Bhopdhornangkul, B., & Nakhaapakorn, K. (2022). Influencing factors of COVID-19 spreading: A case study of Thailand. Journal of Public Health, 30(3), 621–627. https://doi.org/10.1007/s10389-020-01329-5
View in Google Scholar

UN Department of Economic and Social Affairs (UN DESA). (2020). Everyone included: Social impact of COVID-19. https://www.un.org/development/desa/dspd/everyone-included-covid-19.html
View in Google Scholar

World Health Organization. (2021). Water, sanitation and hygiene (WASH). https://www.who.int/health-topics/water-sanitation-and-hygienewash#:~:text=Safe%20drinking%2Dwater%2C%20sanitation%20and,communitie%20living%20in%20healthy%20 environments
View in Google Scholar

World Tourism Organization. (2021). Yearbook of tourism statistics, compendium of tourism statistics and data files. https://data.worldbank.org/indicator/ST.INT.ARVL
View in Google Scholar

Yechezkel, M., Weiss, A., & Rejwan, I. (2021). Human mobility and poverty as key driv¬ers of COVID-19 transmission and control. BMC Public Health, 21, 596. https://doi.org/10.1186/s12889-021-10561-x
View in Google Scholar

Zemtsov, S. P., & Baburin, V. L. (2020). Risks of morbidity and mortality during the COVID-19 pandemic in Russian regions. Population and Economics, 4(2), 158–181. https://populationandeconomics.pensoft.net/article/54055/
View in Google Scholar

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Published

2023-06-30

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How to Cite

Parshintseva, L. S. (2023). Estimating countries preparedness and vulnerability for the COVID-19 pandemic: Elaboration and approbation of overall index. La Revue Internationale Des Économistes De Langue Française, 8(1), 145-162. https://doi.org/10.18559/rielf.2023.1.10

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