Published in

Termedia Publishing, Archives of Medical Science, 2020

DOI: 10.5114/aoms.2020.98236

Links

Tools

Export citation

Search in Google Scholar

COVID-19 in Poland: potential associations with epidemiology, population and healthcare quality

Journal article published in 2020 by Katarzyna Orlewska, Justyna Klusek ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Red circle
Preprint: archiving forbidden
Green circle
Postprint: archiving allowed
Green circle
Published version: archiving allowed
Data provided by SHERPA/RoMEO

Abstract

IntroductionAn attempt to assess basic epidemiological data was made two months after confirming the first case of SARS-CoV-2 in Poland (March 4th, 2020). The aim of the study was to examine which indicators related to epidemiology, population characteristics and health care quality affect COVID-19 incidence, mortality and case fatality in Poland.Material and methodsThe study was based on national data as of May 4th, 2020. For each voivodeship incidence rates, mortality rates, case fatality rates and daily cumulative index (DCI) were calculated. The correlations were examined using Pearson’s and Spearman’s rank correlation coefficient, with a significance level of p < 0.05 (2-tailed tests).ResultsThe overall COVID-19 incidence rate was 3.65 per 10,000 population, mortality rate 0.18 per 10,000 population and case fatality rate 5%. All three disease indicators were positively correlated with DCI and negatively correlated with the number of hospital beds in infectious diseases wards per 10,000 population. Both incidence and mortality rates were positively correlated with population density and number of cases per COVID-19 designated hospital.ConclusionsThe positive correlation between DCI and both mortality and case fatality suggests that DCI could be considered as an indirect indicator of healthcare burden, compared to incidence rate alone. Our analysis confirms the role of social distancing in reducing viral transmission. The results could be useful for policymakers to plan ahead in order to relieve the risk of healthcare system overload during the current and future epidemics.