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1.
Natl Vital Stat Rep ; 71(6): 1-33, 2022 Oct.
Article in English | MEDLINE | ID: covidwho-2092244

ABSTRACT

Objectives-This report describes COVID-19 mortality in 2020 among U.S. residents in 46 states and New York City by usual occupation and industry.


Subject(s)
COVID-19 , United States/epidemiology , Humans , New York City , Industry , Occupations
2.
Am J Public Health ; 112(11): 1620-1629, 2022 Nov.
Article in English | MEDLINE | ID: covidwho-2065248

ABSTRACT

Objectives. To characterize COVID-19 vaccine uptake and hesitancy among US nurses. Methods. We surveyed nurses in 3 national cohorts during spring 2021. Participants who indicated that they did not plan to receive or were unsure whether they planned to receive the vaccine were considered vaccine hesitant. Results. Among 32 426 female current and former nurses, 93% had been or planned to be vaccinated. After adjustment for age, race/ethnicity, and occupational variables, vaccine hesitancy was associated with lower education, living in the South, and working in a group care or home health setting. Those who experienced COVID-19 deaths and those reporting personal or household vulnerability to COVID-19 were less likely to be hesitant. Having contracted COVID-19 doubled the risk of vaccine hesitancy (95% confidence interval [CI] = 1.85, 2.53). Reasons for hesitancy that were common among nurses who did not plan to receive the vaccine were religion/ethics, belief that the vaccine was ineffective, and lack of concern about COVID-19; those who were unsure often cited concerns regarding side effects or medical reasons or reported that they had had COVID-19. Conclusions. Vaccine hesitancy was unusual and stemmed from specific concerns. Public Health Implications. Targeted messaging and outreach might reduce vaccine hesitancy. (Am J Public Health. 2022;112(11):1620-1629. https://doi.org/10.2105/AJPH.2022.307050).


Subject(s)
COVID-19 , Vaccines , COVID-19/epidemiology , COVID-19/prevention & control , COVID-19 Vaccines , Female , Humans , Patient Acceptance of Health Care , Vaccination
3.
Am J Public Health ; 112(11): 1599-1610, 2022 Nov.
Article in English | MEDLINE | ID: covidwho-2065243

ABSTRACT

Objectives. To explore previous COVID-19 diagnosis and COVID-19 vaccination status among US essential worker groups. Methods. We analyzed the US Census Household Pulse Survey (May 26-July 5, 2021), a nationally representative sample of adults aged 18 years and older. We compared currently employed essential workers working outside the home with those working at home using adjusted prevalence ratios. We calculated proportion vaccinated and intention to be vaccinated, stratifying by essential worker and demographic groups for those who worked or volunteered outside the home since January 1, 2021. Results. The proportion of workers with previous COVID-19 diagnosis was highest among first responders (24.9%) working outside the home compared with workers who did not (13.3%). Workers in agriculture, forestry, fishing, and hunting had the lowest vaccination rates (67.5%) compared with all workers (77.8%). Those without health insurance were much less likely to be vaccinated across all worker groups. Conclusions. This study underscores the importance of improving surveillance to monitor COVID-19 and other infectious diseases among workers and identify and implement tailored risk mitigation strategies, including vaccination campaigns, for workplaces. (Am J Public Health. 2022;112(11):1599-1610. https://doi.org/10.2105/AJPH.2022.307010).


Subject(s)
AIDS Vaccines , COVID-19 , Influenza Vaccines , Papillomavirus Vaccines , Respiratory Syncytial Virus Vaccines , SAIDS Vaccines , Adult , BCG Vaccine , COVID-19/diagnosis , COVID-19/epidemiology , COVID-19/prevention & control , COVID-19 Testing , COVID-19 Vaccines , Diphtheria-Tetanus-Pertussis Vaccine , Humans , Intention , Measles-Mumps-Rubella Vaccine , Vaccination
4.
Am J Ind Med ; 65(7): 548-555, 2022 07.
Article in English | MEDLINE | ID: covidwho-1825831

ABSTRACT

BACKGROUND: The Cybersecurity and Infrastructure Security Agency (CISA) produced an advisory list identifying essential critical infrastructure workers (ECIW) during the coronavirus disease 2019 (COVID-19) response. The CISA advisory list is the most common national definition of ECIW but has not been mapped to United States (U.S.) Census industry codes (CICs) to readily identify these worker populations in public health data sources. METHODS: We identified essential critical infrastructure industry designations corresponding to v4.0 of the CISA advisory list for all six-digit North American Industry Classification System (NAICS) codes and cross-walked NAICS codes to CICs. CICs were grouped as essential, non-essential, or mixed essential/non-essential according to component NAICS industries. We also obtained national estimated population sizes for NAICS and Census industries and cross-tabulated Census industry and occupation codes to identify industry-occupation pairs. RESULTS: We produced and made publicly available spreadsheets containing essential industry designations corresponding to v4.0 of the CISA advisory list for NAICS and Census industry titles and codes and population estimates by six-digit NAICS industry, Census industry, and Census industry-occupation pair. The CISA advisory list is highly inclusive and contains most industries and U.S. workers; 71.0% of Census industries comprising 80.6% of workers and 80.7% of NAICS industries comprising 87.1% of workers were designated as essential. CONCLUSIONS: We identified workers in essential critical infrastructure industries as defined by CISA using standardized industry codes. These classifications may support public health interventions and analyses related to the COVID-19 pandemic and future public health crises.


Subject(s)
COVID-19 , Pandemics , COVID-19/epidemiology , Censuses , Humans , Industry , Occupations , United States/epidemiology
5.
J Occup Environ Hyg ; 19(5): 256-265, 2022 05.
Article in English | MEDLINE | ID: covidwho-1730512

ABSTRACT

Like their counterparts in healthcare, workers in medical examiner and coroners' offices are considered essential workers. The frequency and urgency of their work during the coronavirus disease 2019 (COVID-19) pandemic have only become of greater importance. Because of the increased mortality in the general population due to SARS-CoV-2, the virus that causes COVID-19, it is reasonable to assume that the workload and risk of occupational exposure to SARS-CoV-2 have increased for these workers who are required by state law to investigate deaths known or suspected to be due to a contagious disease that constitutes a public hazard. Studies investigating the impact of the COVID-19 pandemic on these workers and their operations have been limited. The objective of this study was to conduct an assessment of routine medical examiner and coroners' office duties (e.g., infectious disease testing and decedent transport) by surveying the 67 county medical examiner and coroners' offices in Pennsylvania to characterize how the rise in infectious disease cases from COVID-19 influenced workload and resource needs. Quantitative results demonstrated an increase in workload and use of personal protective equipment (PPE) while engineering control usage remained the same. Qualitative results revealed various challenges experienced by the offices during the pandemic including limitations in access to PPE, insufficient storage space for increased numbers of decedents, personnel shortage/burnout, and limited or no engagement at the state level for emergency response planning and implementation. These data are valuable to inform the need for additional guidance or supplies and may be used to optimize resource planning and implementation (e.g., personnel, facilities, and supplies) for both routine and surge demand scenarios.


Subject(s)
COVID-19 , Occupational Exposure , COVID-19/epidemiology , Coroners and Medical Examiners , Health Personnel , Humans , Occupational Exposure/prevention & control , Pandemics/prevention & control , Pennsylvania/epidemiology , Personal Protective Equipment , SARS-CoV-2
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