Impact of COVID-19 on the mortality rates for the resident population of the Umbria region in Italy
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Abstract
The mortality figures related to the coronavirus pandemic has been the topic of debate lately. Several hypothesis are made regarding the expected number of deaths in a region but there are various factors governing the same. In this paper, we have discussed the mortality figures in the Umbria region after analyzing the data from the national Health registry between December 2019 to April 2020; the period of infection and its comparison with the data from previous five years. The factors governing these figures were studied including temperature, standard mortality rates, territorial distribution, death due to all cases as well as the non-COVID deaths. A sharp increase in mortality figures was observed for the month of march and low temperature also had a role to play. However the difference when compared to previous 5 years was not significant as was expected at the start of the study. A single factor cannot be responsible for the total mortality figures in a region as is frequently predicted.
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SciScore for 10.1101/2020.09.24.20200667: (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: 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 …
SciScore for 10.1101/2020.09.24.20200667: (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: 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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