Spatio-temporal analysis between the incidence of COVID-19 and human development in Mato Grosso do Sul, Brazil
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Abstract
Objetive
To analyze the spatial distribution of the Covid-19 incidence and its correlation with the municipal human development index (IDHM) in the state of Mato Grosso do Sul (MS), Brazil.
Methods
This is an ecological, exploratory and analytical study whose units of analysis were the 79 municipalities that make up the state of MS. Covid-19 incidence coefficients, death numbers, lethality rate, mortality rate and Human Development Index for municipalities (IDHM) in the period from March 2020 to December 31, 2020 were used. spatial correlations between the variables mentioned above.
Results
The incidence of Covid-19 has spatial dependence with moderate positive correlation and formation of clusters located in the Metropolitan Region of Campo Grande (RMCG) and municipalities in the region.
Conclusion
The uneven mapping of Covid-19 and its relationship with IDHM in the Ministry of Health can contribute to actions to address the regional pandemic.
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SciScore for 10.1101/2021.01.19.21250106: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement IRB: All data used were secondary, without personal identification and in the public domain, which, according to Resolution No. 510/2016, of the National Health Council, dispenses with the need for prior approval by the Ethics in Research with Human Beings Committee (23). Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable The variables analyzed were: number of confirmed cases and deaths; number of suspected cases and deaths; number of tests; total number of hospitalized patients (in ICU and infirmary); biological sex (male and female) and age group (<1, 1-9, 10-19, 20-29, 30-39, 40-49, 40-59, 60-69, 70-79 and … SciScore for 10.1101/2021.01.19.21250106: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement IRB: All data used were secondary, without personal identification and in the public domain, which, according to Resolution No. 510/2016, of the National Health Council, dispenses with the need for prior approval by the Ethics in Research with Human Beings Committee (23). Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable The variables analyzed were: number of confirmed cases and deaths; number of suspected cases and deaths; number of tests; total number of hospitalized patients (in ICU and infirmary); biological sex (male and female) and age group (<1, 1-9, 10-19, 20-29, 30-39, 40-49, 40-59, 60-69, 70-79 and 80 + years). 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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