Estimated number of N95 respirators needed for healthcare workers in acute-care hospitals during the coronavirus disease 2019 (COVID-19) pandemic.


Journal

Infection control and hospital epidemiology
ISSN: 1559-6834
Titre abrégé: Infect Control Hosp Epidemiol
Pays: United States
ID NLM: 8804099

Informations de publication

Date de publication:
11 2021
Historique:
pubmed: 12 1 2021
medline: 18 11 2021
entrez: 11 1 2021
Statut: ppublish

Résumé

Due to shortages of N95 respirators during the coronavirus disease 2019 (COVID-19) pandemic, it is necessary to estimate the number of N95s required for healthcare workers (HCWs) to inform manufacturing targets and resource allocation. We developed a model to determine the number of N95 respirators needed for HCWs both in a single acute-care hospital and the United States. For an acute-care hospital with 400 all-cause monthly admissions, the number of N95 respirators needed to manage COVID-19 patients admitted during a month ranges from 113 (95% interpercentile range [IPR], 50-229) if 0.5% of admissions are COVID-19 patients to 22,101 (95% IPR, 5,904-25,881) if 100% of admissions are COVID-19 patients (assuming single use per respirator, and 10 encounters between HCWs and each COVID-19 patient per day). The number of N95s needed decreases to a range of 22 (95% IPR, 10-43) to 4,445 (95% IPR, 1,975-8,684) if each N95 is used for 5 patient encounters. Varying monthly all-cause admissions to 2,000 requires 6,645-13,404 respirators with a 60% COVID-19 admission prevalence, 10 HCW-patient encounters, and reusing N95s 5-10 times. Nationally, the number of N95 respirators needed over the course of the pandemic ranges from 86 million (95% IPR, 37.1-200.6 million) to 1.6 billion (95% IPR, 0.7-3.6 billion) as 5%-90% of the population is exposed (single-use). This number ranges from 17.4 million (95% IPR, 7.3-41 million) to 312.3 million (95% IPR, 131.5-737.3 million) using each respirator for 5 encounters. We quantified the number of N95 respirators needed for a given acute-care hospital and nationally during the COVID-19 pandemic under varying conditions.

Identifiants

pubmed: 33427134
pii: S0899823X2001418X
doi: 10.1017/ice.2020.1418
pmc: PMC7884668
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

1318-1326

Subventions

Organisme : NIGMS NIH HHS
ID : R01 GM127512
Pays : United States
Organisme : AHRQ HHS
ID : R01 HS028165
Pays : United States

Auteurs

Patrick T Wedlock (PT)

Public Health Informatics, Computational, and Operations Research, CUNY Graduate School of Public Health and Health Policy, New York City, New York.

Kelly J O'Shea (KJ)

Public Health Informatics, Computational, and Operations Research, CUNY Graduate School of Public Health and Health Policy, New York City, New York.

Madellena Conte (M)

Institute for Implementation Science in Population Health, City University of New York, New York City, New York.

Sarah M Bartsch (SM)

Public Health Informatics, Computational, and Operations Research, CUNY Graduate School of Public Health and Health Policy, New York City, New York.

Samuel L Randall (SL)

Public Health Informatics, Computational, and Operations Research, CUNY Graduate School of Public Health and Health Policy, New York City, New York.

Marie C Ferguson (MC)

Public Health Informatics, Computational, and Operations Research, CUNY Graduate School of Public Health and Health Policy, New York City, New York.

Sarah N Cox (SN)

Public Health Informatics, Computational, and Operations Research, CUNY Graduate School of Public Health and Health Policy, New York City, New York.

Sheryl S Siegmund (SS)

Public Health Informatics, Computational, and Operations Research, CUNY Graduate School of Public Health and Health Policy, New York City, New York.

Sarah Kulkarni (S)

Institute for Implementation Science in Population Health, City University of New York, New York City, New York.

Denis Nash (D)

Institute for Implementation Science in Population Health, City University of New York, New York City, New York.

Michael Y Lin (MY)

Division of Infectious Diseases, Department of Medicine, Rush University Medical Center, Chicago, Illinois.

Bruce Y Lee (BY)

Public Health Informatics, Computational, and Operations Research, CUNY Graduate School of Public Health and Health Policy, New York City, New York.

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Classifications MeSH