Contribution of age-related effects to COVID-19 differences of crude fatality ratios in two Argentine provinces between March and August 2020
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Abstract
The following paper presents temporary estimations of CFR (the ratio between deaths and infected positive cases) attributed to COVID-19 for two provinces in Argentina (Jujuy and Buenos Aires Province), using public data provided by the Argentine Ministry of Health. In order to make comparisons between jurisdictions, we applied a series of exploratory measures (which resulted in excluding many other jurisdictions from the comparison), and later on the Kitagawa decomposition procedure, trying to separate rate (“net” fatality) and structure components (age-attributable effects) from CFR estimations in those provinces. After the decomposition we can observe that between almost non existant differences on average, the magnitude of structure and net rate effects tend to go into different directions across age groups, indicating some premature mortality in Buenos Aires and an excess net CFR in Jujuy for older age-groups
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SciScore for 10.1101/2020.11.28.20240127: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement Consent: In the case of anonymous, open and public data it was not necessary to obtain any informed consent or approval of any ethics committee for analysis.
IRB: In the case of anonymous, open and public data it was not necessary to obtain any informed consent or approval of any ethics committee for analysis.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 …SciScore for 10.1101/2020.11.28.20240127: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement Consent: In the case of anonymous, open and public data it was not necessary to obtain any informed consent or approval of any ethics committee for analysis.
IRB: In the case of anonymous, open and public data it was not necessary to obtain any informed consent or approval of any ethics committee for analysis.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:Despite these limitations, this work succeeded in establishing that the effects attributable to the age structure only explains a portion of the COVID-19 CFR differences established between two jurisdictions in Argentina, identified in which age groups these differences are greater and lower, and illustrated a simple mathematical decomposition procedure to make the different rates of CFR in two provinces of the country.
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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