Evidence map›Paper›PMID 33979360›Full record

ArticlePloS one2021

Projecting COVID-19 isolation bed requirements for people experiencing homelessness.

Tanvi A Ingle, Maike Morrison, Xutong Wang, Timothy Mercer, Vella Karman, Spencer Fox, Lauren Ancel Meyers

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 5% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Real-time pandemic surveillance using hospital admissions and mobility data.Proceedings of the National Academy of Sciences of the United States of America · 2022
    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

7 authors at 4 institutions in 1 country.

Tanvi A IngleDepartment of Integrative Biology, The University of Texas at Austin, Austin, Texas, United States of America.
Maike MorrisonDepartment of Biology, Stanford University, Stanford, California, United States of America.ORCID 0000-0003-0430-1401
Xutong WangDepartment of Integrative Biology, The University of Texas at Austin, Austin, Texas, United States of America.
Timothy MercerDepartment of Population Health, The University of Texas at Austin Dell Medical School, Austin, Texas, United Staites of America.
Vella KarmanHomeless Services Division, Austin Public Health, Austin, Texas, United States of America.
Spencer FoxDepartment of Integrative Biology, The University of Texas at Austin, Austin, Texas, United States of America.
Lauren Ancel MeyersDepartment of Integrative Biology, The University of Texas at Austin, Austin, Texas, United States of America.ORCID 0000-0002-5828-8874
The University of Texas at Austin · USMemorialCare Health System · USSanta Fe Institute · USStanford University · US

Funding

Accelerating viral outbreak detection in US cities using mechanistic models, machine learning and diverse geospatial dataR01AI151176 · NIAID · YALE UNIVERSITY · PI GALVANI, ALISON P, MEYERS, LAUREN ANCEL · 2020 to 2024
$3.9M
Impact of New Adolescent VaccinesU01IP000136 · IP · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SAWYER, MARK H · 2008 to 2009
$398k
NCIRD CDC HHS U01 IP000136NIAID NIH HHS R01 AI151176
6 · The paper itself

Abstract

As COVID-19 spreads across the United States, people experiencing homelessness (PEH) are among the most vulnerable to the virus. To mitigate transmission, municipal governments are procuring isolation facilities for PEH to utilize following possible exposure to the virus. Here we describe the framework for anticipating isolation bed demand in PEH communities that we developed to support public health planning in Austin, Texas during March 2020. Using a mathematical model of COVID-19 transmission, we projected that, under no social distancing orders, a maximum of 299 (95% Confidence Interval: 223, 321) PEH may require isolation rooms in the same week. Based on these analyses, Austin Public Health finalized a lease agreement for 205 isolation rooms on March 27th 2020. As of October 7th 2020, a maximum of 130 rooms have been used on a single day, and a total of 602 PEH have used the facility. As a general rule of thumb, we expect the peak proportion of the PEH population that will require isolation to be roughly triple the projected peak daily incidence in the city. This framework can guide the provisioning of COVID-19 isolation and post-acute care facilities for high risk communities throughout the United States.

Indexed as

COVID-19ForecastingHumansIll-Housed PersonsModels, TheoreticalPatient IsolationPatient IsolatorsPublic HealthSARS-CoV-2United States

Identifiers

PMID33979360
PMCPMC8115830
OpenAlexW3161326470

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.