Evidence from Cochrane systematic reviews for the dissemination control of the COVID-19 infection
DOI:
https://doi.org/10.1590/SciELOPreprints.709Keywords:
Coronavirus infections, coronavirus, review, evidence-based practice, pandemicsAbstract
Introduction: The COVID-19 infection has high transmissibility and several measures have been adopted for dissemination control. Objective: To identify and summarize the evidence from the Cochrane systematic reviews (SR) on measures to control the dissemination of the COVID-19 infection. Study design: This review of Cochrane SR has carried out in the Division of Vascular and Endovascular Surgery and in the Division of Emergency Medicine and Evidence-Based Medicine of the Universidade Federal de São Paulo, Brazil. Methods: A comprehensive search in the Cochrane Database of Systematic Reviews retrieved all Cochrane SR directly related to control measures for the COVID-19 dissemination. The main characteristics and results of all included SR were summarized and discussed. Results: Three Cochrane SRs were included in the qualitative synthesis and they evaluated populational and individual measures to control the dissemination of COVID-19. Conclusion: Low-certainty evidence show that quarantine of people exposed to those confirmed or suspected COVID-19 cases prevented 44% - 81% of incident cases and 31% - 63% of deaths compared to no measures and as sooner the quarantine measures are implemented, greater costs are saved. High-confidence evidence showed that clear communication about infection control and prevention guidelines was vital to its implementation. Low-certainty evidence showed that people with a long gown had less contamination than those with a coverall, and the coverall was more difficult to doff. Other SRs are desirable for controlling the dissemination of the COVID-19 infection.
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Copyright (c) 2020 Ronald Flumignan, Luis Nakano, Patricia Pascoal, Brena Santos, Rebeca Correia, Beatriz Silveira, Fabio Takihi, Carolina Flumignan, Jorge Amorim, Alvaro Atallah

This work is licensed under a Creative Commons Attribution 4.0 International License.


