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Mortality Due to COVID-19 in Different Countries is Associated with their Demographic Character and Prevalence of Autoimmunity


Affiliations
1 National Centre for Cell Science, NCCS Complex, Ganeshkhind, Pune 411 007, India
2 Chennai Mathematical Institute, H1 SIPCOT IT Park, Siruseri 603 103, India
3 Council of Scientific and Industrial Research, 2, Rafi Marg, Anusandhan Bhavan, New Delhi 110 001, India
 

In the first few months of its deadly spread across the world, COVID-19 mortality has exhibited a wide range of variability across different nations. In order to explain this phenomenon empirically, we have taken into consideration all publicly available data for 106 countries on parameters like demography, preva-lence of communicable and non-communicable diseas-es, BCG vaccination status, sanitation parameters, etc. We used multivariate linear regression models and found that the incidence of communicable diseases correlated negatively. Demography, improved hygiene and higher incidence of autoimmune disorders corre-lated positively with COVID-19 mortality and they were among the most plausible factors to explain COVID-19 mortality compared to GDP of the nations.

Keywords

Autoimmunity, Epidemiology, Hygiene, Mortality, Risk Factors, COVID-19.
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  • GBD 2017 Disease and Injury Incidence and Prevalence Collabo-rators, Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet, 2018, 392, 1789–1858.

  • Pan, H.-Y. et al., National incidence of autoimmune liver diseases and its relationship with the human development index. Oncotar-get, 2016, 7, 46273–46282.

  • https://datahelpdesk.worldbank.org/knowledgebase/articles/90651- 9-world-bank-country-and-lending-groups (accessed on 29 June 2020).

  • Li, B. et al., Prevalence and impact of cardiovascular metabolic diseases on COVID-19 in China. Clin. Res. Cardiol., 2020, 109, 531–538.

  • Yang, J. et al., Prevalence of comorbidities in the novel Wuhan coronavirus (COVID-19) infection: a systematic review and meta-analysis. Int. J. Infect. Dis., 2020, 94, 91–95.

  • Emami, A., Javanmardi, F., Pirbonyeh, N. and Akbari, A., Preva-lence of underlying diseases in hospitalized patients with COVID-19: a systematic review and meta-analysis. Arch. Acad. Emerg. Med., 2020, 8(1), e35.

  • UN, COVID-19 and older persons: a defining moment for an informed, inclusive and targeted response. United Nations for Ageing; https://www.un.org/development/desa/ageing/news/2020/ 05/covid19/ (accessed on 29 June 2020).

  • Roser, M., Human development index (HDI). Our World in Data, 2014; https://ourworldindata.org/human-developmentindex#:~:text= The%20Human%20Development%20Index%20(HDI)%20provides%20a%20single%20index%20measure,a%20decent%20standard%20of%20living (accessed on 29 June 2020).

  • Grosse, J., Hornstein, H., Manuwald, U., Kugler, J., Glauche, I. and Rothe, U., Incidence of diabetic ketoacidosis of new-onset type 1 diabetes in children and adolescents in different countries correlates with human development index (HDI): an updated systematic review, meta-analysis, and meta-regression. Hormone Metab. Res., 2018, 50, 209–222.

  • Galeotti, C. and Bayry, J., Autoimmune and inflammatory diseases following COVID-19. Nature Rev. Rheumatol., 2020, 16, 413–414.

  • Okada, H., Kuhn, C., Feillet, H. and Bach, J., The ‘hygiene hypothesis’ for autoimmune and allergic diseases: an update. Clin. Exp. Immunol., 2010, 160, 1–9.

  • Bach, J.-F., The hygiene hypothesis in autoimmunity: the role of pathogens and commensals. Nature Rev. Immunol., 2018, 18, 105.

  • Roser, M., Ritchie, H., Ortiz-Ospina, E. and Hasell, J., Corona-virus pandemic (COVID-19). Our World in Data, 2020; https://ourworldindata.org/coronavirus (accessed on 29 June 2020).

  • https://www.who.int/data/gho (accessed on 29 June 2020).

  • https://data.worldbank.org/ (accessed on 29 June 2020).

  • https://www.who.int/data/gho/data/themes/water-sanitation-and-hygiene (accessed on 29 June 2020).

  • http://ghdx.healthdata.org/gbd-results-tool (accessed on 29 June 2020).

  • https://www.who.int/data/gho/data/themes/topics/topic-details/ GHO/bcg (accessed on 29 June 2020).

  • WHO coronavirus disease (COVID-19) dashboard; https:// covid19.who.int (accessed on 29 June 2020).

  • COVID-19 map. Johns Hopkins Coronavirus Resource Center, USA, https://coronavirus.jhu.edu/map.html (accessed on 29 June 2020).

  • COVID-19 situation update worldwide, as of 18 July 2020. Euro-pean Centre for Disease Prevention and Control, https://www. ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases (ac-cessed on 29 June 2020).

  • Schellekens, P. and Sourrouille, D., Tracking COVID-19 as cause of death: global estimates of relative severity, 2020.

  • Walter, L. A. and McGregor, A. J., Sex-and gender-specific observations and implications for COVID-19. West. J. Emerg. Med., 2020, 21, 507.

  • Jin, J.-M. et al., Gender differences in patients with COVID-19: focus on severity and mortality. Front. Public Health, 2020, 8, 152.

  • Netea, M. G., Quintin, J. and van der Meer, J. W. M., Trained immunity: a memory for innate host defense. Cell Host Microbe, 2011, 9, 355–361.

  • Quinn, S. M. et al., Anti-inflammatory trained immunity mediated by helminth products attenuates the induction of T cell-mediated autoimmune disease. Front. Immunol., 2019, 10.

  • Escobar, L. E., Molina-Cruz, A., and Barillas-Mury, C., BCG vac-cine protection from severe coronavirus disease 2019 (COVID-19). Proc. Natl. Acad. Sci., USA, 2020, 117(30), 17720–17726.

  • Mandated Bacillus Calmette-Guérin (BCG) vaccination predicts flattened curves for the spread of COVID-19. Science Advances; https://advances.sciencemag.org/content/6/32/eabc1463 (accessed on 29 June 2020).

  • Bach, J.-F. and Chatenoud, L., The hygiene hypothesis: an expla-nation for the increased frequency of insulin-dependent diabetes. Cold Spring Harbor Perspect. Med., 2012, 2, a007799.

  • Schellekens, P. and Sourrouille, D. M., Covid-19 mortality in rich and poor countries: a tale of two pandemics? SSRN Scholarly Paper, Social Science Research Network, Rochester, NY, USA, 2020.

  • Hadjadj, J. et al., Impaired type I interferon activity and inflam-matory responses in severe COVID-19 patients. Science, 2020, 369, 718–724.

  • Rouse, B. T. and Sehrawat, S., Immunity and immunopathology to viruses: what decides the outcome? Nature Rev. Immunol., 2010, 10, 514–526.

  • Long, Q.-X. et al., Clinical and immunological assessment of asymptomatic SARS-CoV-2 infections. Nature Med., 2020, 26, 1200–1204.


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  • Mortality Due to COVID-19 in Different Countries is Associated with their Demographic Character and Prevalence of Autoimmunity

Abstract Views: 382  |  PDF Views: 142

Authors

Bithika Chatterjee
National Centre for Cell Science, NCCS Complex, Ganeshkhind, Pune 411 007, India
Rajeeva Laxman Karandikar
Chennai Mathematical Institute, H1 SIPCOT IT Park, Siruseri 603 103, India
Shekhar C. Mande
Council of Scientific and Industrial Research, 2, Rafi Marg, Anusandhan Bhavan, New Delhi 110 001, India

Abstract


In the first few months of its deadly spread across the world, COVID-19 mortality has exhibited a wide range of variability across different nations. In order to explain this phenomenon empirically, we have taken into consideration all publicly available data for 106 countries on parameters like demography, preva-lence of communicable and non-communicable diseas-es, BCG vaccination status, sanitation parameters, etc. We used multivariate linear regression models and found that the incidence of communicable diseases correlated negatively. Demography, improved hygiene and higher incidence of autoimmune disorders corre-lated positively with COVID-19 mortality and they were among the most plausible factors to explain COVID-19 mortality compared to GDP of the nations.

Keywords


Autoimmunity, Epidemiology, Hygiene, Mortality, Risk Factors, COVID-19.

References





DOI: https://doi.org/10.18520/cs%2Fv120%2Fi3%2F501-508