Data on occupational health and safety strategies influencing the reduction of coronavirus in South Africa

Tarisai Fritz Rukuni, Eugine Tafadzwa Maziriri, Tinashe Chuchu

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

This data article describes raw statistics on occupational health and safety strategies influencing the reduction of coronavirus in South Africa. The purpose of this research was to investigate factors that could potentially influence the reduction of the spread of COVID-19 in a municipality setting. The following independent constructs are explored: physical wellness, psychological wellness, Intellectual wellness, intellectual wellness, emotional wellness and social wellness. In addition to the individual dependent variables, the influence of these constructs on the reduction of COVID-19 transmission and employee performance at a selected municipality was tested. Hypotheses emerged from the proposed influence of each of these constructs on reduction of COVID-19 transmission at a municipality. Smart PLS was used to measure the impact of the proposed hypotheses of the research. In order to describe data on the respondents’ characteristics, SPSS and SMART PLS was used to generate the relevant statistics. The data generated for this research could potentially advise on how healthy and safety strategies could contribute to lowering the transmission of COVID-19 at a municipality.

Original languageEnglish
Article number106300
JournalData in Brief
Volume32
DOIs
Publication statusPublished - Oct 2020
Externally publishedYes

Keywords

  • Emotional wellness
  • Intellectual wellness
  • Physical wellness
  • Psychological wellness
  • Reduction of COVID-19 transmission at the municipality
  • Social wellness
  • employee performance

ASJC Scopus subject areas

  • Multidisciplinary

Fingerprint

Dive into the research topics of 'Data on occupational health and safety strategies influencing the reduction of coronavirus in South Africa'. Together they form a unique fingerprint.

Cite this