Information on occupation of patients with Covid-19: Literature review

COVID-19 infection rates among transportation and metal workers

OBJECTIVE

The aim of this study was to compare the workers in the metal and transportation sectors in terms of COVID-19 infection frequency and to examine and establish links between infection frequency and the workplace working conditions.

METHODS

A survey was prepared and conducted with a questionnaire prepared on the Google Form platform consisting of questions about the pandemic among the members of the All Transport Workers' and The United Metalworkers' Union in Turkey.

RESULTS

The number of workers diagnosed with COVID-19 was 5.8% in the transportation sector and 2.8% in the metal sector, with a significant difference (p=0.036). The percentage of workers diagnosed with COVID-19 who worked at a physical proximity less than 2 m in the transportation sector was higher than those who worked in the metal sector (p=0.014). The proportion of those who stated that there were COVID-19 patients among their colleagues and working at a physical proximity less than 2 m at the workplace was 18.2% in the transportation and 10.6% in the metal sector, with a significant difference (p=0.003), those who took time off from work was 74%, but 28.5% successively (p<0.001). The share of those who thought that the protective equipment and/or measures were not sufficient during the pandemic was 41.9% in the transportation and 17.7% in the metal sector (p<0.001).

CONCLUSION

The results emphasized that the characteristics of jobs, physical proximity during job hours, the use of protective equipment, and size of the workplaces should be considered as reasons for different infection risks in different sectors.

Magnifying the importance of collecting race, ethnicity, industry and occupation data during covid-19 pandemic

The contagiousness of coronavirus disease-2019 (COVID-19) led to the imposition of historical lockdowns in various countries. No scientific mind could have made accurate projections of the tremendous impact that COVID-19 would have on nations, communities, and the global-wide economy. Meanwhile, millions of workers have lost their jobs, while healthcare workers are overwhelmed and are reaching a state of mental and physical exhaustion. With the uncontrollable spread, researchers have been working to identify factors associated with COVID-19. In this regard, race, ethnicity, industry, and occupation have been found to be predominant factors of interest. However, unfortunately, the unavailability of such information has been a difficult reality. Since race, ethnicity, and employment are essential social determinants of health and could serve as potential risk-factors for COVID-19, collecting such information may offer important context for prioritising vulnerable groups. Thus, this perspective aims to highlight the importance and need for collecting race, ethnicity, and occupation-related data to track and treat the racial/ethnic groups that have been most strongly affected by the COVID-19 pandemic. Collecting such data will provide valuable insights and help public health officials recognise workplace-related outbreaks and evaluate the odds of various ethnic groups and professions contracting COVID-19.