RETHINKING THE ROLE OF VASSINATIONS IN MITIGATING COVID-19 MORTALITY: A CROSS-NATIONAL SOCIOECONOMIC ANALYSIS

Yıl 2024, Cilt: 26 Sayı: 47, 1173 - 1192, 31.12.2024

Bilal Kargı , Mario Coccia

https://doi.org/10.18493/kmusekad.1529330

Öz

This study investigates the effectiveness of COVID-19 vaccination strategies in reducing mortality across a global sample of over 150 countries. A counterintuitive finding emerged: a positive correlation (r= .65) was observed between the percentage of fully vaccinated individuals and COVID-19 deaths in January 2022. Regression analysis, controlling for GDP per capita, confirmed this association, indicating a 0.7% increase in expected deaths per 100,000 with each 1% rise in full vaccination rates. These findings suggest that vaccination alone may not be sufficient to curb the pandemic's negative impacts. Socioeconomic and environmental factors, viral mutations, and technological disparities (e.g., ventilator availability) likely play a significant role in mortality rates between countries. The study concludes that a multifaceted approach encompassing vaccination alongside measures addressing these additional factors is crucial for mitigating the COVID-19 pandemic's spread and mortality.

Anahtar Kelimeler

COVID-19; Vaccination Rates, Mortality Rates, Cross-National Analysis, Public Health Policy

Etik Beyan

This study did not use human or animal subjects. Therefore, it does not require Ethics Approval.

Destekleyen Kurum

None

Teşekkür

None

COVID-19 ÖLÜM ORANINI AZALTMADA AŞILANMANIN ROLÜNÜN YENİDEN DÜŞÜNÜLMESİ: ÜLKELERARASI SOSYOEKONOMİK BİR ANALİZ

Öz

Bu çalışma, 150'den fazla ülkeden oluşan küresel bir örneklemde COVID-19 aşılama stratejilerinin ölüm oranını azaltmadaki etkinliğini araştırmaktadır. Sezgiye aykırı bir bulgu ortaya çıktı: Ocak 2022'de tam aşılanmış bireylerin yüzdesi ile COVID-19 ölümleri arasında pozitif bir korelasyon (r = .65) gözlemlendi. Kişi başına düşen GSYİH'yi kontrol eden regresyon analizi, bu ilişkiyi doğruladı ve tam aşılama oranlarında her %1 artışla 100.000 kişi başına beklenen ölümlerde %0,7'lik bir artış olduğunu gösterdi. Bu bulgular, aşılamanın tek başına salgının olumsuz etkilerini azaltmak için yeterli olmayabileceğini düşündürmektedir. Sosyoekonomik ve çevresel faktörler, viral mutasyonlar ve teknolojik farklılıklar (örneğin, ventilatör bulunabilirliği) muhtemelen ülkeler arasındaki ölüm oranlarında önemli bir rol oynamaktadır. Çalışma, aşılamanın yanı sıra bu ek faktörleri ele alan önlemleri de kapsayan çok yönlü bir yaklaşımın COVID-19 salgınının yayılmasını ve ölüm oranını azaltmak için hayati önem taşıdığı sonucuna varmıştır.

Anahtar Kelimeler

COVID-19, Aşılama Oranları, Ölüm Oranları, Ülkelerarası Analiz, Halk Sağlığı Politikası

Etik Beyan

Bu çalışmada insan veya hayvan denek kullanılmamıştır. Bu nedenle Etik Onayı gerektirmemektedir.

Destekleyen Kurum

Yok

Teşekkür

Yok

Kaynakça

• Abbasi, J. (2020). COVID-19 and mRNA Vaccines-First Large Test for a New Approach. JAMA. 324(12), 1125-1127. https://doi.org/10.1001/jama.2020.16866
• Ackley, C.A., Lundberg, D.J., Ma, L., Preston, S.H., and Stokes, A.C. (2022). County-Level Estimates of Excess Mortality Associated with COVID-19 in the United States. Population Health, 17. 101021. https://doi.org/10.1016/j.ssmph.2021.101021
• Akamatsu, T., Nagae, T., Osawa, M., Satsukawa, K., Sakai, T., and Mizutani, D. (2021). Model-Based Analysis on Social Acceptability and Feasibility of a Focused Protection Strategy Against the COVID-19 Pandemic. Scientific Reports. 11(1), https://doi.org/10.1038/s41598-021-81630-9
• Aldila, D., Samiadji, B.M., Simorangkir, G.M., Khosnaw, S.H.A., and Shahzad, M. (2021). Impact of Early Detection and Vaccination Strategy in COVID-19 Eradication Program in Jakarta, Indonesia. BMC Research Notes, 14(1), 132. https://doi.org/10.1186/s13104-021-05540-9
• Anderson, R.M., Vegvari, C., Truscott, J., and Collyer, B.S. (2020). Challenges in Creating Herd Immunity to SARS-CoV-2 Infection by Mass Vaccination. Lancet, 396(10263), 1614-1616. https://doi.org/10.1016/S0140-6736(20)32318-7
• Angelopoulos, A.N., Pathak, R., Varma, R., and Jordan, M.I. (2020). On Identifying and Mitigating Bias in the Estimation of the COVID-19 Case Fatality Rate. Harvard Data Science Review, https://doi.org/10.1162/99608f92.f01ee285
• Ardito, L., Coccia, M., and Petruzzelli, A.M. (2021). Technological Exaptation and Crisis Management: Evidence from COVID-19 Outbreaks. R&D Management Special Issue, 51(4), 81-392. https://doi.org/10.1111/radm.12455 Aschwanden, C. The False Promise of Herd Immunity for COVID-19. Nature, 587(7832), 26-28. https://doi.org/10.1038/d41586-020-02948-4
• Aschwanden, C. (2021). Five reasons why COVID Herd Immunity is Probably Impossible. Nature, 591(7851), 520-522. https://doi.org/10.1038/d41586-021-00728-2
• Barnard, S., Chiavenna, C., Fox, S., Charlett, A., Waller, Z., Andrews, N., Goldblatt, P., and De Angelis, D. (2021). Methods for Modelling Excess Mortality Across England During the COVID-19 Pandemic. Statistical Methods in Medical Research, 31(9), 1790-1802. https://doi.org/10.1177/09622802211046384
• Bontempi, E., and Coccia, M. (2021). International Trade as Critical Parameter of COVID-19 Spread that Outclasses Demographic, Economic, Environmental, and Pollution Factors. Environmental Research, 201. 111514. https://doi.org/10.1016/j.envres.2021.111514
• Bontempi, E., Coccia, M., Vergalli, S., and Zanoletti, A. (2021). Can Commercial Trade Represent the Main Indicator of the COVID-19 Diffusion Due to Human-to-Human Interactions? A comparative analysis between Italy, France, and Spain. Environmental Research, 201, 111529. https://doi.org/10.1016/j.envres.2021.111529
• Caliskan, B., Özengin, N., and Cindoruk, S.S. (2020). Air Quality Level, Emission Sources and Control Strategies in Bursa/Turkey. Atmospheric Pollution Research, https://doi.org/10.1016/j.apr.2020.05.016
• Coccia, M. (2017). Varieties of Capitalism’s Theory of Innovation and a Conceptual Integration with Leadership-Oriented Executives: The Relation between Typologies of Executive, Technological and Socioeconomic Performances. International Journal of Public Sector Performance Management, 3(2), 148-168. https://doi.org/10.1504/IJPSPM.2017.084672
• Coccia, M. (2017a). Disruptive Firms and Industrial Change. Journal of Economic and Social Thought, 4(4), 437-450. https://doi.org/10.1453/jest.v4i4.1511
• Coccia, M. (2018). An Introduction to the Methods of Inquiry in Social Sciences. Journal of Social and Administrative Sciences, 5(2), 116-126. https://doi.org/10.1453/jsas.v5i2.1651
• Coccia, M. (2019). Metabolism of Public Organizations: A Case Study. Journal of Social and Administrative Sciences, 6(1), 1-9. https://doi.org/10.1453/jsas.v6i1.1793
• Coccia, M. (2020). Factors Determining the Diffusion of COVID-19 and Suggested Strategy to Prevent Future Accelerated Viral Infectivity Similar to COVID. Science of The Total Environment, 729, 138474. https://doi.org/10.1016/j.scitotenv.2020.138474
• Coccia, M. (2020a). How (Un)sustainable Environments are Related to the Diffusion of COVID-19: The Relation between Coronavirus Disease: Air Pollution, Wind Resource and Energy. Sustainability, 12, 9709. https://doi.org/10.3390/su12229709
• Coccia, M. (2020b). Deep Learning Technology for Improving Cancer Care in Society: New directions in cancer imaging driven by artificial intelligence. Technology in Society, 60, 101198. https://doi.org/10.1016/j.techsoc.2019.101198
• Coccia, M. (2020c). How do Environmental, Demographic, and Geographical Factors Influence the Spread of COVID-19. Journal of Social and Administrative Sciences, 7(3), 169-209. https://doi.org/10.1453/jsas.v7i3.2018
• Coccia, M. (2020d). An Index to Quantify Environmental Risk of Exposure to Future Epidemics of the COVID-19 and Similar Viral Agents: Theory and Practice. Environmental Research, 191, 110155 https://doi.org/10.1016/j.envres.2020c.110155
• Coccia, M. (2021). Effects of the Spread of COVID-19 on Public Health of Polluted Cities: Results of the First Wave for Explaining the Dejà vu in the Second Wave of COVID-19 Pandemic and Epidemics of Future Vital Agents. Environmental Science and Pollution Research, 28(15), 19147-19154. https://doi.org/10.1007/s11356-020-11662-7
• Coccia, M. (2021a). The Effects of Atmospheric Stability with Low Wind Speed and of Air Pollution on the Accelerated Transmission Dynamics of COVID-19. International Journal of Environmental Studies, 78(1), 1-27. https://doi.org/10.1080/00207233.2020.1802937
• Coccia, M. (2021c). Pandemic Prevention: Lessons from COVID-19. Encyclopedia, 1. 433-444. https://doi.org/10.3390/encyclopedia1020036
• Coccia, M. (2021d). High Health Expenditures and Low Exposure of Population to Air Pollution as Critical Factors that Can Reduce Fatality Rate in COVID-19 Pandemic Crisis: A Global Analysis. Environmental Research, 199. 111339. https://doi.org/10.1016/j.envres.2021.111339
• Coccia, M. (2022). The Spread of the Novel Coronavirus Disease 2019 in Polluted Cities: Lessons Learned from Environmental and Demographic Factors for Prevention of Pandemic Diseases. In N. Faghih, and F. Amir, (Eds), Socioeconomic Dynamics of the COVID-19 Crisis, Global, Regional, and Local Perspectives, Springer. https://doi.org/10.1007/978-3-030-89996-7
• Coccia, M. (2022a). Preparedness of Countries to Face Covid-19 Pandemic Crisis: Strategic Positioning and Underlying Structural Factors to Support Strategies of Prevention of Pandemic Threats. Environmental Research, 203, 111678. https://doi.org/10.1016/j.envres.2021.111678
• Coccia, M. (2022b). Optimal Levels of Vaccination to Reduce COVID-19 Infected Individuals and Deaths: A Global Analysis. Environmental Research, 204, 112314. https://doi.org/10.1016/j.envres.2021.112314
• Coccia, M. (2022c). Probability of Discoveries between Research Fields to Explain Scientific and Technological Change. Technology in Society. 68, 101874. https://doi.org/10.1016/j.techsoc.2022.101874
• Copat, C., Cristaldi, A., Fiore, M., Conti, G.O., and Ferrante, M. (2020). The Role of Air Pollution (PM and NO2) in COVID-19 Spread and Lethality: A Systematic Review. Environmental Research, 191, 110129. https://doi.org/10.1016/j.envres.2020.110129
• Davies, N.G., Jarvis, C.I., van Zandvoort, K., Clifford, S., Sun, F.Y., Funk, S., Medley, G., and Keogh, R.H. (2021). Increased Mortality in Community-Tested Cases of SARS-CoV-2 Lineage B.1.1.7. Nature, 593(7858), 270-274. https://doi.org/10.1038/s41586-021-03426-1
• de Vlas, S.J., and Coffeng, L.E. (2021). Achieving Herd Immunity Against COVID-19 at the Country Level by the Exit Strategy of a Phased Lift of Control. Scientific Reports, 11(1), 4445. https://doi.org/10.1038/s41598-021- 83492-7
• Fontanet, A., Autran, B., Lina, B., Kieny, M.P., Karim, S.S.A., and Sridhar, D. (2021). SARS-CoV-2 Variants and
• Ending the COVID-19 Pandemic. The Lancet, 397(10278), 952-954. https://doi.org/10.1016/s0140- 6736(21)00370-6
• Garber, A.M. (2021). Learning from Excess Pandemic Deaths. Journal of the American Medical Association, 325(17), 1729-1730. https://doi.org/10.1001/jama.2021.5120
• Hoo, G., and Soo, W. (2010). Noninvasive Ventilation in Adults with Acute Respiratory Distress: A Primer for the Clinician. Hospital Practice, 38(1), 16-25. https://doi.org/10.3810/hp.2010.02.275
• IMARC. (2022). Mechanical Ventilators Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast. 2022. 2021-2026 [accessed 2022]
• Islam, N., Shkolnikov, V.M., Acosta, R.J., Klimkin, I., Kawachi, I., Irizarry, R.A., Alicandro, G., Khunti, K., Yates, T., Jdanov, D.A., and White, M. (2021). Excess Deaths Associated with Covid-19 Pandemic in 2020: Age and Sex Disaggregated Time Series Analysis in 29 High Income Countries. BMJ, 373(1137), https://doi.org/10.1136/bmj.n1137
• Johns Hopkins Center for System Science and Engineering. (2022). Coronavirus COVID-19 Global Cases. [accessed in 14 January 2022]
• Kapitsinis, N. (2020). The Underlying Factors of the COVID-19 Spatially Uneven Spread. Initial Evidence from Regions in Nine EU Countries. Regional Science Policy and Practice, 12(6), 1027-1045. https://doi.org/10.1111/rsp3.12340
• Kargı, B., and Coccia, M. (2024). Emerging Innovative Technologies for Environmental Revolution: A Technological Forecasting Perspective International Journal of Innovation 12(3), e27000-e27000. https://doi.org/10.5585/2024.27000
• Kargı, B., Coccia, M., and Uçkaç, B.C. (2023). How does the Wealth Level of Nations Affect Their COVID19 Vaccination Plans? Economics, Management and Sustainability. 8(2), 6-19. https://doi.org/10.14254/jems.2023.8-2.1
• Kargı, B., Coccia, M., and Uçkaç, B.C. (2023a). The Relation between Restriction Policies Against Covid-19, Economic Growth and Mortality Rate in Society. Migration Letters, 20(5), 218-231. https://doi.org/10.47059/ml.v20i5.3538
• Kargı, B., Coccia, M., and Uçkaç, B.C. (2023b). Findings from the First Wave of Covid-19 on the Different Impacts of Lockdown on Public Health and Economic Growth. International Journal of Economic Sciences 12(2), 21-39. http://doi.org/10.52950/es.2023.12.2.002
• Kargı, B., Coccia, M., and Uçkaç, B.C. (2023c). Socioeconomic, Demographic and Environmental Factors and COVID-19 Vaccination: Interactions Affecting Effectiveness. Bulletin Social-Economic and Humanitarian Research, 19(21), 83-99. http://doi.org/10.52270/26585561_2023_19_21_83
• Kiang, M.V., Irizarry, R.A., Buckee, C.O., and Balsari, S. (2020). Every Body Counts: Measuring Mortality from the COVID-19 Pandemic. Annals of Internal Medicine, 173(12), 1004-1007. https://doi.org/10.7326/M20-3100
• Lau, H., Khosrawipour, T., Kocbach, P., Ichii, H., Bania, J., and Khosrawipour, V. (2021). Evaluating the Massive Underreporting and Undertesting of COVID-19 Cases in Multiple Global Epicenters. Pulmonology, 27(2), 110-115. https://doi.org/10.1016/j.pulmoe.2020.05.015
• Liu, Z., Magal, P., and Webb, G. (2021). Predicting the Number of Reported and Unreported Cases for the COVID-19 Epidemics in China, South Korea, Italy, France, Germany and United Kingdom. Journal of Theoretical Biology, 509, 110501. https://doi.org/10.1016/j.jtbi.2020.110501
• Mayo Clinic. (2021). Different Types of COVID-19 Vaccines: How they Work. 2021. [accessed 6 September 2021]
• Mayo Clinic. (2022). COVID-19 Variants: What's the Concern? 2022. [accessed January 2022]
• Moore, S., Hill, E.M., Tildesley, M.J., Dyson, L., and Keeling, M.J. (2021). Vaccination and Non-Pharmaceutical Interventions for COVID-19: A Mathematical Modelling Study. The Lancet Infectious Diseases, 21(6), 793-802. https://doi.org/10.1016/s1473-3099(21)00143-2
• Nicastro, F., Sironi, G., Antonello, E., Trabattoni, D., and Clerici, M. (2021). Solar UV-B/A Radiation is Highly Effective in Inactivating SARS-CoV-2. Scientific Reports, 1(1), 14805. https://doi.org/10.1038/s41598-021-94417-9
• Our World in Data. (2022). Coronavirus (COVID-19) Vaccinations - Statistics and Research - Our World in Data. [Accessed 25 January 2022].
• Our World in Data. (2022a). Number of medical ventilators. [accessed January 2022].
• Papanikolaou, V., Chrysovergis, A., Ragos, V., Tsiambas, E., Katsinis, S., Manoli, A., Papouliakos, S., Roukas, D., Mastronikolis, S., Peschos, D., and Batistatou, A. (2022). From Delta to Omicron: S1-RBD/S2 Mutation/Deletion Equilibrium in SARS-CoV-2 Defined Variants. Gene, 814, 146134. https://doi.org/10.1016/j.gene.2021.146134
• Prieto-Curiel, R., and González-Ramírez, H. (2021). Vaccination Strategies Against COVID-19 and the Diffusion of Anti-Vaccination Views. Scientific Reports, 11(1), 6626. https://doi.org/10.1038/s41598-021-85555-1
• Randolph, H.E., and Barreiro, L.B. (2020). Herd Immunity: Understanding COVID-19. Immunity, 52, 737-741. https://doi.org/10.1016/j.immuni.2020.04.012
• Ritchie, H., Ortiz-Ospina, E., Beltekian, D., Mathieu, E., Hasel, J., Macdonald, B., Giattino, C., and Roser, M. (2020). Policy Responses to the Coronavirus Pandemic. Our World in Data, Statistics and Research. Retrieved July 7, 2020, from.
• Rosario-Denes, K.A., Mutz-Yhan, S., Bernardes-Patricia, C., and Conte-Junior, C.A. (2020). Relationship between COVID-19 and Weather: Case Study in a Tropical Country. International Journal of Hygiene and Environmental Health, 229, 113587. https://doi.org/10.1016/j.ijheh.2020.113587
• Saadi, N., Chi, Y.-L., Ghosh, S., Jit, M., and Vassall, A. (2021). Models of COVID-19 Vaccine Prioritisation: A Systematic Literature Search and Narrative Review. BMC Medicine, 19(1), 318. https://doi.org/10.1186/s12916- 021-02190-3
• Sanmarchi, F., Golinelli, D., Lenzi, J., Esposito, F., Capodici, A., Reno, C., and Gibertoni, D. (2021). Exploring the Gap between Excess Mortality and COVID-19 Deaths in 67 Countries. JAMA Network Open, 4(7), e2117359. https://doi.org/10.1001/jamanetworkopen.2021.17359
• Seligman, B., Ferranna, M., and Bloom, D.E. (2021). Social Determinants of Mortality from COVID-19: A Simulation Study Using NHANES. PLoS Med, 18(1), e1003490. https://doi.org/10.1371/journal.pmed.1003490
• Shattock, A.J., Le Rutte, E.A., Dünner, R.P., Chitnis, N., and Penny, M.A. (2022). Impact of Vaccination and Non- Pharmaceutical Interventions on SARS-CoV-2 Dynamics in Switzerland. Epidemics, 38, 100535. https://doi.org/10.1016/j.epidem.2021.100535
• Stokes, A.C., Lundberg, D.J., Bor, J., and Bibbins-Domingo, K. (2021). Excess Deaths During the COVID-19 Pandemic: Implications for US Death Investigation Systems. American Journal of Public Health, 111(S2), S53- S54. https://doi.org/10.2105/AJPH.2021.306331
• Stokes, A.C., Lundbergi D.J., Eloi I.T., Hempstead, K., Bor, J., and Preston, S.H. (2021). COVID-19 and Excess Mortality in the United States: A County-Level Analysis. PLoS Medicine, 18(5), 003571. https://doi.org/10.1371/journal.pmed.1003571
• The World Bank. (2022). GDP per capita (constant 2015 US$), World Bank national accounts data, and OECD National Accounts data files. 2022. [Accessed January 2022]
• The World Bank. (2022a). Data, Population, total. [Accessed January 2022]
• Uçkaç, B.C., Coccia, M., and Kargı, B. (2023). Diffusion of COVID-19 in Polluted Regions: Main Role of Wind Energy for Sustainable and Health. International Journal of Membrane Science and Technology, 10(3), 2755- 2767. https://doi.org/10.15379/ijmst.v10i3.2286
• Uçkaç, B.C., Coccia, M., and Kargı, B. (2023a). Simultaneous Encouraging Effects of New Technologies for Socioeconomic and Environmental Sustainability. Bulletin Social-Economic and Humanitarian Research, 19(21), 100-120. https://doi.org/10.52270/26585561_2023_19_21_100
• Vinceti, M., Filippini, T., Rothman, K.J., Di Federico, S., and Orsini, N. (2021). SARS-CoV-2 Infection Incidence During the First and Second COVID-19 Waves in Italy. Environmental Research, 197, 111097. https://doi.org/10.1016/j.envres.2021.111097
• Woolf, S.H., Chapman, D.A., Sabo, R.T., and Zimmerman, E.B. (2021). Excess Deaths from COVID-19 and Other Causes in the US. Journal of the American Medical Association, 325(17), 1786-1789. https://doi.org/10.1001/jama.2021.5199