A Quest for the Origin of the Uneven Spread of Covid-19 Cases
This article has been Reviewed by the following groups
Listed in
- Evaluated articles (ScreenIT)
Abstract
For more than one and a half years now, the world is highly impacted by the Covid-19 pandemic. The Covid-19 cases are, however, not evenly distributed across the countries; a few countries, particularly high-income countries have been hit harder than the countries of weak economic condition. The reasons for such an asymmetrical distribution are not clearly understood yet. In this work, we have examined the unevenness of global distribution of Covid-19 incidences till 18th June 2021 in terms of the economic condition of countries. Subsequently, we have tried to identify the main underlying factors behind unequal Covid-19 cases. Our analysis suggests that the physical connectivity and the diffusion of coronavirus are the main causes of the different unequal spread of Covid-19 cases in different countries. We find that the Covid-19 infected and death cases are well described by a power law in terms of the stated parameters.
Article activity feed
-
-
SciScore for 10.1101/2021.07.14.21260550: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Ethics not detected. Sex as a biological variable not detected. Randomization not detected. Blinding not detected. Power Analysis not detected. Table 2: Resources
No key resources detected.
Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
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:…
SciScore for 10.1101/2021.07.14.21260550: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Ethics not detected. Sex as a biological variable not detected. Randomization not detected. Blinding not detected. Power Analysis not detected. Table 2: Resources
No key resources detected.
Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
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.
- Thank you for including a protocol registration statement.
Results from scite Reference Check: We found no unreliable references.
-