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1000 Titel
  • Initial estimates of COVID-19 infections in hospital workers in the United States during the first wave of pandemic
1000 Autor/in
  1. Razzak, Junaid |
  2. Bhatti, Junaid A. |
  3. Tahir, Muhammad Ramzan |
  4. Pasha-Razzak, Omrana |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-12-04
1000 Erschienen in
1000 Quellenangabe
  • 15(12): e0242589
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1371/journal.pone.0242589 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7717542 |
1000 Publikationsstatus
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1000 Abstract/Summary
  • OBJECTIVE: We estimated the number of hospital workers in the United States (US) that might be infected or die during the COVID-19 pandemic based on the data in the early phases of the pandemic. METHODS: We calculated infection and death rates amongst US hospital workers per 100 COVID-19-related deaths in the general population based on observed numbers in Hubei, China, and Italy. We used Monte Carlo simulations to compute point estimates with 95% confidence intervals for hospital worker (HW) infections in the US based on each of these two scenarios. We also assessed the impact of restricting hospital workers aged ≥ 60 years from performing patient care activities on these estimates. RESULTS: We estimated that about 53,000 hospital workers in the US could get infected, and 1579 could die due to COVID19. The availability of PPE for high-risk workers alone could reduce this number to about 28,000 infections and 850 deaths. Restricting high-risk hospital workers such as those aged ≥ 60 years from direct patient care could reduce counts to 2,000 healthcare worker infections and 60 deaths. CONCLUSION: We estimate that US hospital workers will bear a significant burden of illness due to COVID-19. Making PPE available to all hospital workers and reducing the exposure of hospital workers above the age of 60 could mitigate these risks.
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal Hospitals
lokal Public and occupational health
lokal Italy
lokal China
lokal Medical personnel
lokal Safety equipment
lokal Death rates
1000 Fächerklassifikation (DDC)
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  1. https://orcid.org/0000-0003-0735-9094|https://frl.publisso.de/adhoc/uri/QmhhdHRpLCBKdW5haWQgQS4=|https://frl.publisso.de/adhoc/uri/VGFoaXIsIE11aGFtbWFkIFJhbXphbg==|https://frl.publisso.de/adhoc/uri/UGFzaGEtUmF6emFrLCBPbXJhbmE=
1000 (Academic) Editor
1000 Label
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  1. Fogarty International Center |
  2. ELRHA UK |
  3. Manulife Canada |
  4. APOTEX |
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    1000 Förderer Fogarty International Center |
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    1000 Förderer Manulife Canada |
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1000 Erstellt am 2022-03-16T13:36:17.141+0100
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