Covid-19 and the South Asian Countries: factors ruling the pandemic
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Abstract
The novel corona virus causing Covid-19 was first detected in the city of Wuhan, China in December, 2019. In matter of months Covid-19 was declared a pandemic by the World Health Organization. The focus of this research includes the probable factors that might have played an important role in the spread of this infection causing a global threat. In this study we dealt with the South Asian countries namely Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan. Data on the demography of the countries, the climatic and geographical conditions, the socio-economic statuses, GDP being in the forefront, was collected and compared with Covid-19 related data such as total number of positive, recovered and death cases, etc. to determine if there was any significant correlation. The wide range of correlations observed can curve the path for the future research to understand the factors behind the spread of the communicable disease, analyzing the dynamics of the future biological threats to mankind and design the precautionary or preventive methods accordingly.
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SciScore for 10.1101/2021.05.04.21256590: (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 found bar graphs of continuous data. We recommend replacing bar graphs with more …
SciScore for 10.1101/2021.05.04.21256590: (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 found bar graphs of continuous data. We recommend replacing bar graphs with more informative graphics, as many different datasets can lead to the same bar graph. The actual data may suggest different conclusions from the summary statistics. For more information, please see Weissgerber et al (2015).
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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