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An Ecological Modeling on the Adjusted Effects of Socioeconomic Determinants and Hla-Drb1 Alleles in Fatality of Covid-19 During the Early Phase of Epidemics in a Group of Countries Publisher Pubmed



Yasin Ahmadi SA1 ; Shahsavar F2 ; Tehranibanihashemi A3 ; Elmi M4 ; Ahmadi P5 ; Sohrabpour S5 ; Nazarian H1 ; Jafarzadeh M6 ; Behnagh AK7 ; Anbari K8
Authors
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Authors Affiliations
  1. 1. Student Research Committee, Lorestan University of Medical Sciences, Khorramabad, Iran
  2. 2. Department of Immunology, Lorestan University of Medical Sciences, Khorramabad, Iran
  3. 3. Department of Community Medicine, Preventive Medicine and Public Health Research Center, Iran University of Medical Sciences, Tehran, Iran
  4. 4. School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Perth, WA, Australia
  5. 5. Otolaryngology Research Center, Amir Alam Hospital, Tehran University of Medical Sciences, Tehran, Iran
  6. 6. Endocrine Research Center, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran
  7. 7. Student Research Committee, Iran University of Medical Sciences, Tehran, Iran
  8. 8. Department of Community Medicine, Social Determinants of Health Research Center, Lorestan University of Medical Sciences, Khorramabad, Iran

Source: Przeglad epidemiologiczny Published:2021


Abstract

INTRODUCTION: Socioeconomic determinants along with genetic status may affect fatality rate of COVID-19. We intend to investigate the adjusted effects of the HLA-DRB1 alleles and socioeconomic determinants including gross domestic product per capita (GDP cap) and health expenditure per capita (HE cap) in fatality of COVID-19 during the early phase of epidemic in a group of countries. METHODS: As an ecological study, early exposure to epidemics was defined as having more than 5000 confirmed cases of COVID-19 from 1 March 2020 to 1 April 2020. Poisson regression was used to report adjusted incidence rate ratio (IRR) for case fatality rate in this constant time period. RESULTS: Fourteen countries were eligible. Among the alleles, DR7 showed the strongest risk factor (IRR=112.535, P<0.001). Having GDP cap more than 40000$ or having HE cap more than 3000$ was a protecting factor (IRR=0.899, P<0.001, adjusted with allele DR7). Having GDP cap more than 40000$ along with having HE cap more than 3000$ was a protecting factor (IRR=0.471, P<0.001, adjusted with allele DR7). CONCLUSION: Socioeconomic status of the countries may compensate the probable harmful effect of some HLA-DRB1 alleles. This conclusion was limited to a period that all the selected countries had almost similar governmental intervention. © National Institute of Public Health NIH – National Research Institute.