Human mobility and infection from Covid-19 in the Osaka metropolitan area
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Abstract
Controlling human mobility is thought to be an effective measure to prevent the spread of the COVID-19 pandemic. This study aims to clarify the human mobility types that impacted the number of COVID-19 cases during the medium-term COVID-19 pandemic in the Osaka metropolitan area. The method used in this study was analysis of the statistical relationship between human mobility changes and the total number of COVID-19 cases after two weeks. In conclusion, the results indicate that it is essential to control the human mobility of groceries/pharmacies to between −5 and 5% and that of parks to more than −20%. The most significant finding for urban sustainability is that urban transit was not found to be a source of infection. Hence governments in cities around the world may be able to encourage communities to return to transit mobility, if they are able to follow the kind of hygiene processes conducted in Osaka.
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SciScore for 10.1101/2022.05.12.22274931: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Ethics IRB: This research protocol was approved by the Research Ethics Committee of the Graduate School of Life Science, Osaka City University (No. 21-58). Sex as a biological variable not detected. Randomization A bootstrap sample is a random sample of observations drawn with replacement. 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: We detected the following sentences addressing limitations in the study:Air pollution was reduced by the human mobility limitation …
SciScore for 10.1101/2022.05.12.22274931: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Ethics IRB: This research protocol was approved by the Research Ethics Committee of the Graduate School of Life Science, Osaka City University (No. 21-58). Sex as a biological variable not detected. Randomization A bootstrap sample is a random sample of observations drawn with replacement. 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: We detected the following sentences addressing limitations in the study:Air pollution was reduced by the human mobility limitation [34]. If governments simply reactivate human mobility, carbon dioxide emissions may increase due to car traffic [35]. Therefore, the government needs to conduct a mix of several policies, such as working from home, online shopping, and active use of public transportation. Those policies could contribute to improving the urban sustainability for the post COVID-19 pandemic. The limitation of this study was that it was able to analyze only six types of human mobility available on Google Community Mobility Reports. Therefore, we cannot deny the possibility that the control of human mobility proposed by this study might cause an increase in another type of human mobility and a gradual increase in the number of infections. For example, would it truly be effective to restrict mainly dining and drinking establishments? To address this limitation, future research should research more diverse types of human mobility using GPS location history data. These GPS log data can be obtained at regular intervals from mobile phones with users’ consent. Using such data, we can clarify the relationship with the number of infections in more detail.
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.
Results from scite Reference Check: We found no unreliable references.
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