The socio-economic determinants of COVID-19: A spatial analysis of German county level data
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SciScore for 10.1101/2020.06.25.20140459: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement not detected. Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable 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:However, it must be mentioned as a limitation that our data do not distinguish between day care at home and nursing homes. We were also able to find clear evidence for our third question of spillover effects between …
SciScore for 10.1101/2020.06.25.20140459: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement not detected. Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable 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:However, it must be mentioned as a limitation that our data do not distinguish between day care at home and nursing homes. We were also able to find clear evidence for our third question of spillover effects between neighbouring districts, which, to our knowledge, was investigated empirically for COVID-19 in Germany for the first time here. On the one hand, the suitability of spatial models compared to simple OLS approaches is statistically supported. On the other hand, indications of negative effects (i.e. a containment effect on neighbouring regions) could be found especially for the number of early cases of infection or the average age, whereas spillover effects for doctor and pupil density turn out to be positive. Since this is a quasi export of infections across national borders, these questions should be analysed in future studies in greater detail and, if possible, on an even smaller regional scale, in order to expand the knowledge about the ecological pathways of COVID-19. In addition to the three above-mentioned questions, the counterintuitive positive influence of the economic status (e.g. household income or proportion of acedemics) of the districts on the occurrence of infections, as known from other studies, could be empirically confirmed. The practical relevance of the results lies, among other things, in the derivation of new or adaptation of existing political measures for the containment of COVID-19, which by their very nature also do not function at the indi...
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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