DOI of the published article https://doi.org/10.1590/1980-549720200091
The potential propagation of Covid-19 and government decision-making: a retrospective analysis in Florianópolis, Brazil
DOI:
https://doi.org/10.1590/SciELOPreprints.993Keywords:
Coronavirus Infections, Epidemiology, Decision Making, GovernmentAbstract
Objective: to analyze the association between the spreading potential of SARS-CoV-2 and the decision-making of the municipal government of Florianópolis (Brazil) regarding social distance. Methods: We analyzed new cases of COVID-19 with nowcasting treatment identified in Florianópolis residents between February 1 and July 14, 2020. Decrees related to COVID-19 published in the Official Gazette of the Municipality between February 1 and July 14, 2020 were also analyzed. Based on the actions proposed in the decrees, it was analyzed whether they relaxed social isolation, increased or maintained existing restrictions, thus creating the Social Distancing Index. Time-dependent reproduction numbers (Rt) for the period of 14 days prior to each decree were calculated. A matrix was constructed associating the classification of each decree and the Rt values, analyzing the consonance or dissonance between the potential dissemination of SARS-CoV-2 and the actions of the decrees. Results: 5,374 cases of COVID-19 and 26 decrees were analyzed. Nine decrees increased measures of social distance, nine maintained them and eight made them more flexible. Of the 26 actions, 9 were consonant and 17 dissonant with the tendency indicated by the Rt. Dissonances were observed in all the decrees that maintained the distance measures or made them more flexible. In the last two months analyzed there was the fastest expansion in the number of new cases and the greatest amount of dissonant decrees. Conclusion: There was an important divergence between municipal measures of social distance with epidemiological indicators at the time of each political decision.
Key-words: Coronavirus Infections. Epidemiology. Decision Making. Government.
Downloads
Metrics
Posted
Versions
- 08/06/2020 (2)
- 07/20/2020 (1)
How to Cite
Section
Copyright (c) 2020 Leandro Pereira Garcia, Jefferson Traebert, Alexandra Crispim Boing, Grazielli Faria Zimmer Santos, Lucas Alexandre Pedebôs, Eleonora d'Orsi, Paulo Inacio Prado, Maria Ameia de Sousa Mascena Veras, Giuliano Boava, Antonio Fernando Boing
This work is licensed under a Creative Commons Attribution 4.0 International License.