2
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Work a key determinant in COVID-19 risk

      letter

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Using prevalence figures from the Global Burden of Diseases, Injuries, and Risk Factors Study 2017, Andrew Clark and colleagues (August, 2020) 1 estimated the global numbers of individuals at increased risk of severe COVID-19. Age, sex, and country were considered variables of interest, and a list of underlying health conditions relevant to the disease risk were included in the analysis, grouped into 11 categories. 1·7 billion people (22% [UI 15–38] of the global population) were estimated to be at risk of severe COVID-19, with increased risk for men, older people, African countries with high HIV/AIDS prevalence, and nations with high diabetes prevalence. 1 Ethnicity, socioeconomic deprivation, and obesity were cited as other risk factors for severe COVID-19. However, occupational risk was not assessed nor cited as a potential risk factor in the study by Clark and colleagues. Despite the absence of systematic studies on work-related risk factors for COVID-19, the pandemic has been described as a substantial challenge for occupational health 2 and several types of working condition have been reported as putting workers at risk of infection worldwide. At highest occupational risk are health-care workers, emergency response workers, and workers in social services and the care of older people. Clusters of other occupationally exposed groups have been reported. Outbreaks of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have occurred in factories operated by the meat and poultry processing industry. In such an environment, crowded living and transport conditions, numerous high-touch areas, and difficulties with workplace physical distancing could result in high risk for SARS-CoV-2 transmission. 3 In Italy, according to compensation claims, SARS-CoV-2 infection occurred at the workplace in 19·4% of all cases; 30% of people of working age (15–65 years) became infected in the workplace. 4 Health-care workers have been recognised as the most involved occupational category (29 548 affected individuals as of July 5, 2020, in Italy 5 ), and these individuals' dual role as victims and vectors must be highlighted. It will be important to implement policies that adequately factor in the occupational dimension of risk. Specific risk management at workplaces, protection of vulnerable workers, and the development of an occupational epidemiological surveillance system has to be considered as a priority in anti-COVID-19 strategies and in the management of vaccination policies.

          Related collections

          Most cited references3

          • Record: found
          • Abstract: found
          • Article: found

          Global, regional, and national estimates of the population at increased risk of severe COVID-19 due to underlying health conditions in 2020: a modelling study

          Summary Background The risk of severe COVID-19 if an individual becomes infected is known to be higher in older individuals and those with underlying health conditions. Understanding the number of individuals at increased risk of severe COVID-19 and how this varies between countries should inform the design of possible strategies to shield or vaccinate those at highest risk. Methods We estimated the number of individuals at increased risk of severe disease (defined as those with at least one condition listed as “at increased risk of severe COVID-19” in current guidelines) by age (5-year age groups), sex, and country for 188 countries using prevalence data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 and UN population estimates for 2020. The list of underlying conditions relevant to COVID-19 was determined by mapping the conditions listed in GBD 2017 to those listed in guidelines published by WHO and public health agencies in the UK and the USA. We analysed data from two large multimorbidity studies to determine appropriate adjustment factors for clustering and multimorbidity. To help interpretation of the degree of risk among those at increased risk, we also estimated the number of individuals at high risk (defined as those that would require hospital admission if infected) using age-specific infection–hospitalisation ratios for COVID-19 estimated for mainland China and making adjustments to reflect country-specific differences in the prevalence of underlying conditions and frailty. We assumed males were twice at likely as females to be at high risk. We also calculated the number of individuals without an underlying condition that could be considered at increased risk because of their age, using minimum ages from 50 to 70 years. We generated uncertainty intervals (UIs) for our estimates by running low and high scenarios using the lower and upper 95% confidence limits for country population size, disease prevalences, multimorbidity fractions, and infection–hospitalisation ratios, and plausible low and high estimates for the degree of clustering, informed by multimorbidity studies. Findings We estimated that 1·7 billion (UI 1·0–2·4) people, comprising 22% (UI 15–28) of the global population, have at least one underlying condition that puts them at increased risk of severe COVID-19 if infected (ranging from 66% of those aged 70 years or older). We estimated that 349 million (186–787) people (4% [3–9] of the global population) are at high risk of severe COVID-19 and would require hospital admission if infected (ranging from <1% of those younger than 20 years to approximately 20% of those aged 70 years or older). We estimated 6% (3–12) of males to be at high risk compared with 3% (2–7) of females. The share of the population at increased risk was highest in countries with older populations, African countries with high HIV/AIDS prevalence, and small island nations with high diabetes prevalence. Estimates of the number of individuals at increased risk were most sensitive to the prevalence of chronic kidney disease, diabetes, cardiovascular disease, and chronic respiratory disease. Interpretation About one in five individuals worldwide could be at increased risk of severe COVID-19, should they become infected, due to underlying health conditions, but this risk varies considerably by age. Our estimates are uncertain, and focus on underlying conditions rather than other risk factors such as ethnicity, socioeconomic deprivation, and obesity, but provide a starting point for considering the number of individuals that might need to be shielded or vaccinated as the global pandemic unfolds. Funding UK Department for International Development, Wellcome Trust, Health Data Research UK, Medical Research Council, and National Institute for Health Research.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            COVID-19 Among Workers in Meat and Poultry Processing Facilities ― 19 States, April 2020

            Congregate work and residential locations are at increased risk for infectious disease transmission including respiratory illness outbreaks. SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19), is primarily spread person to person through respiratory droplets. Nationwide, the meat and poultry processing industry, an essential component of the U.S. food infrastructure, employs approximately 500,000 persons, many of whom work in proximity to other workers (1). Because of reports of initial cases of COVID-19, in some meat processing facilities, states were asked to provide aggregated data concerning the number of meat and poultry processing facilities affected by COVID-19 and the number of workers with COVID-19 in these facilities, including COVID-19-related deaths. Qualitative data gathered by CDC during on-site and remote assessments were analyzed and summarized. During April 9-27, aggregate data on COVID-19 cases among 115 meat or poultry processing facilities in 19 states were reported to CDC. Among these facilities, COVID-19 was diagnosed in 4,913 (approximately 3%) workers, and 20 COVID-19-related deaths were reported. Facility barriers to effective prevention and control of COVID-19 included difficulty distancing workers at least 6 feet (2 meters) from one another (2) and in implementing COVID-19-specific disinfection guidelines.* Among workers, socioeconomic challenges might contribute to working while feeling ill, particularly if there are management practices such as bonuses that incentivize attendance. Methods to decrease transmission within the facility include worker symptom screening programs, policies to discourage working while experiencing symptoms compatible with COVID-19, and social distancing by workers. Source control measures (e.g., the use of cloth face covers) as well as increased disinfection of high-touch surfaces are also important means of preventing SARS-CoV-2 exposure. Mitigation efforts to reduce transmission in the community should also be considered. Many of these measures might also reduce asymptomatic and presymptomatic transmission (3). Implementation of these public health strategies will help protect workers from COVID-19 in this industry and assist in preserving the critical meat and poultry production infrastructure (4).
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              The COVID-19 pandemic: major risks to healthcare and other workers on the front line

                Bookmark

                Author and article information

                Journal
                Lancet Glob Health
                Lancet Glob Health
                The Lancet. Global Health
                The Author(s). Published by Elsevier Ltd.
                2214-109X
                25 September 2020
                25 September 2020
                Affiliations
                [a ]Italian National Institute for Insurance against Accidents at Work, Rome 00143, Italy
                [b ]WHO, Geneva, Switzerland
                Article
                S2214-109X(20)30411-3
                10.1016/S2214-109X(20)30411-3
                7518834
                32986980
                0caa55fb-7c20-44bd-8591-a160d16727fc
                © 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                Categories
                Correspondence

                Comments

                Comment on this article