Evidence map›Paper›PMID 33177904›Full record

ArticleRisk management and healthcare policy2020

Scenarios to Manage the Demand for N95 Respirators for Healthcare Workers During the COVID-19 Pandemic.

Yinxiaohe Sun, Hirono Otomaru, Sharon Esi Duoduwa Quaye, Jyoti Somani, Natasha Bagdasarian, Darius L L Beh, Dale A Fisher, Alex R Cook, Borame L Dickens

Open access · goldAbstract read
In one paragraph

Article in Risk management and healthcare policy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.1field-weighted citation impact, top 45% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Respiratory Protection: Lessons Learned from a Global Pandemic.Risk management and healthcare policy · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 2 countries.

Yinxiaohe SunSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
Hirono Otomaru *Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
Sharon Esi Duoduwa QuayeSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
Jyoti SomaniDivision of Infectious Diseases, National University Hospital, Singapore.
Natasha BagdasarianDivision of Infectious Diseases, National University Hospital, Singapore.
Darius L L BehDivision of Infectious Diseases, National University Hospital, Singapore.
Dale A FisherDivision of Infectious Diseases, National University Hospital, Singapore.ORCID 0000-0003-2353-2651
Alex R CookSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
Borame L Dickens *Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
National University of Singapore · SGNational University Hospital · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBy estimating N95 respirator demand based on simulated epidemics, we aim to assist planning efforts requiring estimations of respirator demand for the healthcare system to continue operating safely in the coming months.

methodsWe assess respiratory needs over the course of mild, moderate and severe epidemic scenarios within Singapore as a case study using a transmission dynamic model. The number of respirators required within the respiratory isolation wards and intensive care units was estimated over the course of the epidemic. We also considered single-use, extended-use and prolonged-use strategies for N95 respirators for use by healthcare workers treating suspected but negative (misclassified) or confirmed COVID-19 patients.

resultsDepending on the confirmed to misclassified case ratio, from 1:0 to 1:10, a range of 117.1 million to 1.1 billion masks are required for single-use. This decreases to 71.6-784.4 million for extended-use and 12.8-148.2 million for prolonged-use, representing a 31.8-38.9% and 86.5-89.1% reduction, respectively.

conclusionAn extended-use policy should be considered when short-term supply chains are strained but planning measures are in place to ensure long-term availability. With severe shortage expectations from a severe epidemic, as some European countries have experienced, prolonged use is necessary to prolong supply.

Indexed as

COVID-19 pandemichealthcare resourcesmathematical modellingN95 respiratorspolicy

Identifiers

PMID33177904
PMCPMC7652237
OpenAlexW3097075262

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.