The aim of the study was to calculate the potential risk of contracting a Covid-19 infection in the context of working on the front lines of healthcare. The researcher collected information from more than three hundred articles in three medical science databases. Further, those articles that contained the necessary information and thus fell under the objectives of the study were eliminated from these articles. As a result, the remaining articles were divided into two blocks: 30 articles were included in the systematic analysis, while 28 more articles remained for the meta-analysis.
This article and the chart in it aim to provide a realistic assessment of the potential for infection among healthcare workers, using up-to-date information collected from an impressive array of sources. More than half of the doctors in the country tested positive for COVID-19 by arithmetically analyzing the collected texts, while death affected just 1.5 percent of the population. The aim of the article is to prepare the medical community for the potential burdens on the healthcare system in the future. Given that every doctor has been able to get COVID-19 from the very beginning of the pandemic, the article does an important job of demonstrating to doctors in clear language and statistics how far this global viral situation has gone. The authors also point out in a scientific way that in the event of the emergence of new information, there is an extreme opportunity to influence the general situation, or at least take care of yourself and use all possible means of external protection against an infectious disease. Doctors who do not protect themselves are at risk; they also have a fairly high degree of infection due to the lack of professional personal protection. The visual information is aimed at doctors and medical students studying the current problem of COVID-19 therapy and symptomatic relief, the combination of which is new to the medical community (Gholami et al., 2021). The diagram by which scientific papers are screened is built on the principle of an algorithm or an elementary logical computer program. In this algorithm, a previously unnecessary number of articles are eliminated in order to present a clear picture of the pandemic for workers.
Reference
Gholami, M., Fawad, I., Shadan, S., Rowaiee, R., Ghanem, H.-A., Khamis, A. H., & Ho, S. B. (2021). COVID-19 and healthcare workers: A systematic review and meta-analysis. International Journal of Infectuous Diseases 104.