Prevalence of SARS-CoV-2 infections and socio-occupational profile of delivery riders during the COVID-19 pandemic

Authors

  • Ester P Almeida Federal University of São João Del Rei, Dona Lindu Campus, Sebastião Gonçalves Coelho Street, 400, Chanadour, 35501-296 Divinópolis, MG, Brazil https://orcid.org/0000-0002-4831-5680
  • Vinícius S Belo Federal University of São João Del Rei, Dona Lindu Campus, Sebastião Gonçalves Coelho Street, 400, Chanadour, 35501-296 Divinópolis, MG, Brazil
  • Mônica F da Silva Federal University of São João Del Rei, Dona Lindu Campus, Sebastião Gonçalves Coelho Street, 400, Chanadour, 35501-296 Divinópolis, MG, Brazil
  • Roberta C Figueiredo Federal University of São João Del Rei, Dona Lindu Campus, Sebastião Gonçalves Coelho Street, 400, Chanadour, 35501-296 Divinópolis, MG, Brazil
  • Eduardo S da Silva Federal University of São João Del Rei, Dona Lindu Campus, Sebastião Gonçalves Coelho Street, 400, Chanadour, 35501-296 Divinópolis, MG, Brazil https://orcid.org/0000-0001-7409-9216
  • Mayron HM Gomes Federal University of São João Del Rei, Dona Lindu Campus, Sebastião Gonçalves Coelho Street, 400, Chanadour, 35501-296 Divinópolis, MG, Brazil https://orcid.org/0009-0001-0574-993X
  • Marina PC Oliveira Federal University of São João Del Rei, Dona Lindu Campus, Sebastião Gonçalves Coelho Street, 400, Chanadour, 35501-296 Divinópolis, MG, Brazil https://orcid.org/0009-0009-4826-835X
  • Marina MLM Toledo Federal University of São João Del Rei, Dona Lindu Campus, Sebastião Gonçalves Coelho Street, 400, Chanadour, 35501-296 Divinópolis, MG, Brazil https://orcid.org/0000-0002-9273-7389
  • Rafael G Teixeira-Neto Federal University of São João Del Rei, Dona Lindu Campus, Sebastião Gonçalves Coelho Street, 400, Chanadour, 35501-296 Divinópolis, MG, Brazil

DOI:

https://doi.org/10.3855/jidc.19218

Keywords:

COVID-19, SARS-CoV-2, health survey, occupational exposure

Abstract

Introduction: We assessed the prevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and associated socio-occupational factors among delivery riders from a Brazilian city at two time points during the pandemic.

Methodology: Surveys for antibody and viral RNA testing were conducted from November 2020 to January 2021, and from March to May 2021 in a group of 117 delivery riders. A questionnaire on socio-occupational characteristics and coronavirus disease 2019 (COVID-19) preventive measures was completed. Factors associated with prevalence were analyzed using bivariate analyses and multiple logistic regression models.

Results: The overall prevalence of COVID-19 was 15.4% (CI 9.0–23.0). Although not statistically significant, the prevalence was higher in the second phase of the survey (12% (CI 6.0–19.0)) than in the first (5.1% (CI 1.0–10.0)). The seroprevalence was significantly higher (p < 0.05) in the second phase of collection (10.3%) than in the first phase (3.4%). There were no statistically significant associations between the social characteristics assessed in the study and prevalence. Five behavioral variables were selected for the final multiple logistic regression model; and only the variable “cleans hands” had a significant association with the outcome, indicating that those who cleaned their hands had lower occurrence.

Conclusions: The prevalence among delivery riders was high and they were potentially exposed to risk of infection. Occupational activity and individual prevention behavior were better determinants of infection than social differences. It is necessary to take specific public measures for this group, especially during outbreaks of communicable diseases such as COVID-19.

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Published

2024-12-31

How to Cite

1.
Almeida EP, Belo VS, da Silva MF, Figueiredo RC, da Silva ES, Gomes MH, Oliveira MP, Toledo MM, Teixeira-Neto RG (2024) Prevalence of SARS-CoV-2 infections and socio-occupational profile of delivery riders during the COVID-19 pandemic. J Infect Dev Ctries 18:S239-S248. doi: 10.3855/jidc.19218

Issue

Vol. 18 No. 12.1: December 2024 -- SUPPLEMENT

Section

Coronavirus Pandemic

License

Copyright (c) 2024 Ester Pontes Almeida, Vinícius Silva Belo, Mônica Fernandes da Silva, Roberta Carvalho Figueiredo, Eduardo Sérgio da Silva, Mayron Henrique de Moraes Gomes, Marina Paula da Cunha Oliveira, Marina Marques Lopes de Morais Toledo, Rafael Gonçalves Teixeira-Neto

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