Rhythmic components of COVID-19 daily cases in various countries
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Abstract
Not only does COVID-19 pandemic encourage scientists to look for remedies and treatment schemes, but also identify the drivers of pathogenicity and spread of the virus.
The scope of this research consisted in identifying recurrence patterns and comparing the number of daily cases between various countries. Data for countries where at least 500 daily cases were recorded at least once (17 in Europe, 3 in North America, 7 in South America, 3 in Central America, 17 in Asia and 3 in Africa).
According to our evaluation, the dynamics recorded for 25 countries includes a 7-day statistically significant component. This statistically significant weekly component has been identified in 76% of the countries examined in Europe, 66% in North America, 71% in South America, and 18% in Asia. The range of this rhythmic component is low at the growth stage and increases at the stabilization and decrease stages.
The weekly phases feature shifting peaks depending on the country. In some cases, the phases shift, i.e. they are not limited strictly to certain days of the week. Due to range and phase variation, its explanation cannot be limited to strictly medical and social factors. In some cases, national incidence dynamics includes 3, 4, 6, 8 and 10-day periods.
Understanding the factors of recurrence patterns in COVID-19 incidence dynamics may help in the pandemic response.
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SciScore for 10.1101/2020.07.23.20161240: (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 Data sources: Daily COVID-19 case data were obtained from the web site of Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU) (https://systems.jhu.edu/research/public-health/ncov/) and from Google database of national agency data (“coronavirus statistics by country” search query). Googlesuggested: (Google, RRID:SCR_017097)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 …SciScore for 10.1101/2020.07.23.20161240: (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 Data sources: Daily COVID-19 case data were obtained from the web site of Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU) (https://systems.jhu.edu/research/public-health/ncov/) and from Google database of national agency data (“coronavirus statistics by country” search query). Googlesuggested: (Google, RRID:SCR_017097)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.
- No protocol registration statement was detected.
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