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10.3389/fpubh.2021.605290

http://scihub22266oqcxt.onion/10.3389/fpubh.2021.605290
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33598443!7882903!33598443
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suck abstract from ncbi


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pmid33598443      Front+Public+Health 2021 ; 9 (ä): 605290
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  • Correlation of Demographics, Healthcare Availability, and COVID-19 Outcome: Indonesian Ecological Study #MMPMID33598443
  • Wirawan GBS; Januraga PP
  • Front Public Health 2021[]; 9 (ä): 605290 PMID33598443show ga
  • Objective: To analyze the correlation between demographic and healthcare availability indicators with COVID-19 outcome among Indonesian provinces. Methods: We employed an ecological study design to study the correlation between demographics, healthcare availability, and COVID-19 indicators. Demographic and healthcare indicators were obtained from the Indonesian Health Profile of 2019 by the Ministry of Health while COVID-19 indicators were obtained from the Indonesian COVID-19 website in August 31st 2020. Non-parametric correlation and multivariate regression analyses were conducted with IBM SPSS 23.0. Results: We found the number of confirmed cases and case growth to be significantly correlated with demographic indicators, especially with distribution of age groups. Confirmed cases and case growth was significantly correlated (p < 0.05) with population density (correlation coefficient of 0.461 and 0.491) and proportion of young people (-0.377; -0.394). Incidence and incidence growth were correlated with ratios of GPs (0.426; 0.534), hospitals (0.376; 0.431), primary care clinics (0.423; 0.424), and hospital beds (0.472; 0.599) per capita. For mortality, case fatality rate (CFR) was correlated with population density (0.390) whereas mortality rate was correlated with ratio of hospital beds (0.387). Multivariate analyses found confirmed case independently associated with population density (beta of 0.638) and demographic structure (-0.289). Case growth was independently associated with density (0.763). Incidence growth was independently associated with hospital bed ratio (0.486). Conclusion: Pre-existing inequality of healthcare availability correlates with current reported incidence and mortality rate of COVID-19. Lack of healthcare availability in some provinces may have resulted in artificially low numbers of cases being diagnosed, lower demands for COVID-19 tests, and eventually lower case-findings.
  • |*Age Distribution[MESH]
  • |*Health Services Accessibility[MESH]
  • |*Population Density[MESH]
  • |Adult[MESH]
  • |Aged[MESH]
  • |COVID-19/*epidemiology/mortality[MESH]
  • |Child[MESH]
  • |Humans[MESH]
  • |Indonesia/epidemiology[MESH]


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