Country-level Association of Socioeconomic, Environmental and Healthcare-Related Factors with the Disease-Burden and Mortality Rate of COVID-19
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Abstract
Background
COVID-19 pandemic is rapidly expanding throughout the world right now. Caused by a novel strain of the coronavirus, the manifestation of this pandemic shows a unique level of disease burden and mortality rate in different countries.
Objective
In this paper, we investigated the effects of several socioeconomic, environmental, and healthcare-related factors on the disease burden and mortality rate of COIVID-19 across countries. Our main objective is to provide a macro-level understanding of the most influential socioeconomic, environmental, and healthcare-related factors associated with the disease burden and mortality rate metrics without human bias.
Methods
We developed a multiple linear regression model using backward elimination to find the best fitting between reported death and cases across countries for country-level aggregated independent factors keeping COVID-19 test statistic in consideration. Notably, the method requires minimum human intervention and handles confounding effects intrinsically.
Results
Our results show that while the COVID-19 pandemic is seemingly spreading more rapidly in economically affluent countries, it Is more deadly in countries with inadequate healthcare infrastructure, lower capacity of handling epidemics, and lower allocation of the healthcare budget. We also did not find evidence of any association between environmental factors and COVID-19.
Conclusion
We took the number of tests performed into account and normalized the case and mortality counts based on the cumulative distribution of cases across days. Our analysis of the standardized factors provides both the direction and relative importance of different factors leading to several compelling insights into the most influential socioeconomic and healthcare infrastructure-related factors from a country-level view.
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SciScore for 10.1101/2021.08.22.21262449: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
No key resources detected.
Results from OddPub: Thank you for sharing your code and data.
Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this …
SciScore for 10.1101/2021.08.22.21262449: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
No key resources detected.
Results from OddPub: Thank you for sharing your code and data.
Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
- Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
- No protocol registration statement was detected.
Results from scite Reference Check: We found no unreliable references.
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