This paper explores disparities in the effect of pollution on confirmed cases of Covid-19 based on counties' socioeconomic and demographic characteristics. Using data on all US counties on a daily basis over the year 2020 and applying a rich panel data fixed effect model, we document that: 1) there are discernible social and demographic disparities in the spread of Covid-19. Blacks, low educated, and poorer people are at higher risks of being infected by the new disease. 2) The criteria pollutants including Ozone, CO, PM10, and PM2.5 have the potential to accelerate the outbreak of the novel coronavirus. 3) The disadvantaged population is more vulnerable to the effects of pollution on the spread of coronavirus. Specifically, the effects of pollution on confirmed cases become larger for blacks, low educated, and counties with lower average wages in 2019.
This paper explores disparities in the effect of pollution on confirmed cases of Covid-19 based on counties’ socioeconomic and demographic characteristics. Using data on all US counties on a daily basis over the year 2020 and applying a rich panel data fixed effect model, we document that: 1) there are discernible social and demographic disparities in the spread of Covid-19. Blacks, low educated, and poorer people are at higher risks of being infected by the new disease. 2) The criteria pollutants including Ozone, CO, PM10, and PM2.5 have the potential to accelerate the outbreak of the novel coronavirus. 3) The disadvantaged population is more vulnerable to the effects of pollution on the spread of coronavirus. Specifically, the effects of pollution on confirmed cases become larger for blacks, low educated, and counties with lower average wages in 2019.
Minorities and poor people have higher rates of mortality due to various causes of deaths. Part of this phenomenon is due their higher exposure to unhealthy environments. In this paper we show that the onset of Covid-19 was associated with higher death rates among the disadvantaged population. Specifically, we document that the environmental air quality can affect the spread of the novel coronavirus and that this effect is more pronounced in low-income neighborhoods and for counties with lower average education and higher share of blacks. The fact that environment is more impactful among the disadvantaged population calls for policies that protect the poor and minorities during a global disease.
The hospital is a high risk environment for the transmission of infections to health care workers, visitors, patients and the surrounding community. Healthcare workers are exposed to a variety of hazards which predisposes these “indispensable carers” to various life threatening infections and diseases. This study is aimed at evaluating the occupational hygiene and infection control practices in Federal Medical Center (FMC) Owerri and FMC Yenayoa, both located within southern Nigeria. Descriptive cross sectional study using a structured questionnaire and walk-through safety checklist was employed. A total of 379 healthcare workers were selected through disproportionate stratified sampling from the two facilities. The questionnaires were self-administered and analyzed using SPSS Version 22.0. Frequencies, chi-square were computed and multivariable logistic regression analysis was used to identify the predisposing factors to which health workers are exposed; 60.7% of respondents were male, dominant age group; 30 – 39yrs, nurses represented a larger proportion (34.8%) of healthcare workers in this study; 51.7% and 48.3% of respondents in FMC Yenagoa and FMC Owerri respectively had a good knowledge of hazards and controls. There was a significant difference with chi-square as, 9.710 p-Value <0.008. Good level of attitude was 44.7% in Owerri and 21.2% in Yenagoa, chi-square 18.295 p-Value <0.001. Overall level of occupational hygiene and infection control practices was poor in both facilities. Health care workers had a very high level of exposure to ergonomic hazards (88.9%) and biological hazards 47.6% in Owerri and 55.3% in Yenagoa. Nurses were 5 times more at risk of ergonomic hazards (95%CI) – 5.96 (2.19–16.24) p-Value < 0.001, while Medical Laboratory scientists were 5 times more at risk of chemical hazards (OR = 5.98, 95CI: 3.05–11.69, p-Value <0.001). The checklist revealed that both facilities were of imminent high risk category. Health care workers at FMC Yenagoa had higher exposures to all five categories of hazards than FMC Owerri. Working in FMC Owerri predisposes workers to higher health hazards than in FMC Yenagoa. There was better administrative controls including trainings and immunizations in FMC Yenagoa than in FMC Owerri.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.