Current State and Predicting Future Scenario of COVID-19 Pandemic for Highly Infected Nations
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Abstract
Since the first report of COVID-19 from Wuhan China, the virus has rapidly spread across the globe now presently reported in 177 countries with positive cases crossing 400 thousand and rising. In the current study, prediction is made for highly infected countries by a simple and novel method using only cumulative positive cases reported. The rate of infection per week ( R w ) coefficient delineated three phases for the current COVID-19 pandemic. All the countries under study have passed Phase 1 and are currently in Phase 2 except for South Korea which is in Phase 3. Early detection with rapid and large-scale testing helps in controlling the COVID-19 pandemic. Staying in Phase 2 for longer period would lead to increase in COVID-19 positive cases.
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SciScore for 10.1101/2020.03.28.20046235: (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
Software and Algorithms Sentences Resources The data of confirmed positive COVID-19 cases up to March 27, 2020 was obtained from Wikipedia and Worldmeters [11][12]. Wikipediasuggested: (Wikipedia, RRID:SCR_004897)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: We detected the following sentences addressing limitations in the study:Limitations of Current method: The epidemic should show normal distribution. In the present method a week is considered to be from Saturday to Friday, …
SciScore for 10.1101/2020.03.28.20046235: (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
Software and Algorithms Sentences Resources The data of confirmed positive COVID-19 cases up to March 27, 2020 was obtained from Wikipedia and Worldmeters [11][12]. Wikipediasuggested: (Wikipedia, RRID:SCR_004897)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: We detected the following sentences addressing limitations in the study:Limitations of Current method: The epidemic should show normal distribution. In the present method a week is considered to be from Saturday to Friday, changing this pattern to other forms have considerable effect on results. It is difficult to predict the magnitude of PCW but rather gives a fair direction of the Epidemic and can evaluate efficiency of control measures undertaken to combat the disease. This method is suitable for larger territories or regions with community spread of virus.
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.
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SciScore for 10.1101/2020.03.28.20046235: (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
Software and Algorithms Sentences Resources Methods The data of confirmed positive COVID-19 cases up to March 27, 2020 was obtained from Wikipedia and Worldmeters [11][12]. Wikipediasuggested: (Wikipedia, SCR_004897)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).
About SciScore
SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy …
SciScore for 10.1101/2020.03.28.20046235: (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
Software and Algorithms Sentences Resources Methods The data of confirmed positive COVID-19 cases up to March 27, 2020 was obtained from Wikipedia and Worldmeters [11][12]. Wikipediasuggested: (Wikipedia, SCR_004897)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).
About SciScore
SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore is not a substitute for expert review. SciScore checks for the presence and correctness of RRIDs (research resource identifiers) in the manuscript, and detects sentences that appear to be missing RRIDs. SciScore also checks to make sure that rigor criteria are addressed by authors. It does this by detecting sentences that discuss criteria such as blinding or power analysis. SciScore does not guarantee that the rigor criteria that it detects are appropriate for the particular study. Instead it assists authors, editors, and reviewers by drawing attention to sections of the manuscript that contain or should contain various rigor criteria and key resources. For details on the results shown here, please follow this link.
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