COVID-19 in China: Risk Factors and R0 Revisited

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Abstract

No abstract available

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  1. SciScore for 10.1101/2020.05.18.20104703: (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
    SentencesResources
    We leveraged R package ggplot2, ggpubr, sf and RColorBrewer for plotting different figures including maps.
    ggplot2
    suggested: (ggplot2, RRID:SCR_014601)

    Results from OddPub: Thank you for sharing your code and data.


    Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
    This study has several limitations, most notably the fact that these analyses were based on routinely collected data during pandemic with the potential for both over and under reporting of COVID-19 cases. Secular changes in reporting could have biased incidence estimates and errors could have been introduced as data were aggregated at higher levels of the health information system. Data accuracy and completeness were not systematically assessed. Some cases might be detected based on clinical signs and symptoms, with the potential for misclassification (39). Testing systems have also limited sensitivity and specificity and are particularly likely to misclassify individuals. Parts of China were forced to shut down with restrictions on the population movement. These intervention measures are expected to also have an important impact on the associations between meteorological factors and the transmission of the virus. Additional climatic factors, socio-economic development, population mobility, population immunity, social distancing, health behavior changes, and urbanization, presumably affected the dynamics of the COVID-19 epidemic in China, but we cannot consider every factor in this study. The observed associations between temperature, demographic factors and estimated Ro were ecologic and not at the level of individuals. Conclusion: In conclusions, our study does not support that high temperature can reduce the transmission of COVID-19 and it will be premature to count on war...

    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.

    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 checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.