Understanding the Incidence of Covid-19 among the police force in Maharashtra through a mixed approach
This article has been Reviewed by the following groups
Listed in
- Evaluated articles (ScreenIT)
Abstract
Background
The study tries to understand the incidence of COVID-19 among police officials along with the challenges they face and their preparedness during the pandemic response in Maharashtra.
Method
The study analyzed the daily trends of confirmed, active, recovered, and deceased cases for Maharashtra and police professional. Ten telephonic in-depth interviews and a descriptive survey were conducted to obtain experiences of police regarding their combat against Covid-19.
Results
PPR (0.01 to 1.12), CRR (0 to 39.22) and CFR (0 to 1.07) have consistently increased and CRR found lower among police than the general population. The qualitative data by analyzing several indicators suggests that there is a higher individual efficacy over collective efficacy among the police force. Further, the long-time fight against Covid-19 had drained police force mentally and physically and this put them in higher risk.
Conclusion
Immediate priority interventions like provision of protective gears need to be provided by the government to control the risk of infection among police. Holistic support and recovery system from all stakeholders of society needed for the well-being of the police force so that they can soldier on to avert such a crisis in future.
Article activity feed
-
SciScore for 10.1101/2020.06.11.20125104: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement Consent: Oral consent had been taken from participants to record a telephonic interview. Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable not detected. Table 2: Resources
Software and Algorithms Sentences Resources Statistical Analysis: All the analysis was performed by using Microsoft EXCEL. Microsoft EXCELsuggested: (Microsoft Excel, RRID:SCR_016137)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 …SciScore for 10.1101/2020.06.11.20125104: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement Consent: Oral consent had been taken from participants to record a telephonic interview. Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable not detected. Table 2: Resources
Software and Algorithms Sentences Resources Statistical Analysis: All the analysis was performed by using Microsoft EXCEL. Microsoft EXCELsuggested: (Microsoft Excel, RRID:SCR_016137)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.
-
