Evidence map›Paper›PMID 36918758›Full record

SynthesisBMC infectious diseases2023

COVID-19 in the homeless population: a scoping review and meta-analysis examining differences in prevalence, presentation, vaccine hesitancy and government response in the first year of the pandemic.

Tharanika Ahillan, Matthew Emmerson, Bethan Swift, Hadiya Golamgouse, Kaiyang Song, Angela Roxas, Sakina Bano Mendha, Elena Avramović, Jatin Rastogi, Binta Sultan

Open access · goldFull text readMeta-AnalysisScoping Review
In one paragraph

Synthesis in BMC infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
14.4field-weighted citation impact, top 1% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.

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  16. Signs, symptoms and comorbidities of COVID-19 infection in informal workers in Medellin, Colombia, 2021.Revista brasileira de medicina do trabalho : publicacao oficial da Associacao Nacional de Medicina do Trabalho-ANAMT
    Article
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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

10 authors at 6 institutions in 1 country.

Tharanika Ahillan *Barts Health NHS Trust, London, UK. t.ahillan@nhs.net.
Matthew Emmerson *University of Oxford, Oxford, UK.
Bethan SwiftWellcome Centre for Human Genetics, Oxford, UK.
Hadiya GolamgouseUniversity College London, London, UK.
Kaiyang SongUniversity of Oxford, Oxford, UK.
Angela RoxasKing's College London, London, UK.
Sakina Bano MendhaLondon School of Hygiene & Tropical Medicine, London, UK.
Elena AvramovićKing's College London, London, UK.
Jatin RastogiKing's College London, London, UK.
Binta SultanInstitute of Global Health, University College London, London, UK.
King's College London · GBUniversity College London · GBUniversity of Oxford · GBBarts Health NHS Trust · GBCentre for Human Genetics · GBLondon School of Hygiene & Tropical Medicine · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsPeople experiencing homelessness (PEH) have been identified as being increasingly susceptible to Coronavirus disease (COVID-19), with policies enacted to test, isolate, increase hygiene practices and prioritise vaccines among this population. Here, we conduct a scoping review of the current evidence-base pertaining to the prevalence and presentation of COVID-19 in PEH, COVID-vaccine hesitancy rates and government interventions enacted within the first year of the pandemic for PEH. MATERIALS AND

methodsA systematic search was conducted on Pubmed, Cochrane, Embase and MedRxiv databases for studies reporting primary data on COVID-19 prevalence and clinical characteristics in PEH, vaccine uptake for PEH and policies enacted targeting PEH. Study qualities were assessed with The National Heart, Lung and Blood Institute's set of Study Quality.

resultsEighty-three studies were included in our final analysis. The overall prevalence of symptomatic COVID-19 infection in PEH is estimated at 35%. The most common symptoms found were cough and shortness of breath, followed by fever. Concerns regarding vaccine hesitancy amongst PEH related to thoroughness of COVID-19 vaccine clinical trials, side effects and mistrust of the government. The main strategies implemented by governments were mass testing, adaption of healthcare service provision, provision of alternative housing, encouraging personal hygiene (hand sanitation and mask wearing), and inter-organisational communication. DISCUSSION: In our meta-analysis, 35% of PEH with a COVID-19 infection presented symptomatically; the low prevalence of symptomatic COVID-19 infection suggests widespread testing following outbreaks would be beneficial for this group of individuals. Temporary recuperation units and measures for housing stability in the pandemic, namely provision of alternative housing and stopping evictions, were found to be highly effective. High rates of vaccine hesitancy means that education and encouragement towards vaccination would be beneficial for this vulnerable population, where comorbidities are common. Finally increased focus in research should be placed on the mental health burden of COVID-19 and the pandemic on PEH moving forwards.

Indexed as

COVID-19COVID-19 VaccinesHealth PolicyIll-Housed PersonsPublic Health PracticeSocial Determinants of HealthHumansPandemicsPrevalenceUnited StatesVaccination HesitancyCOVID-19 VaccinesCOVID-19HomelessHomelessnessPoliciesPrevalenceSARS-COV-2Scoping reviewSymptoms

Identifiers

PMID36918758
PMCPMC10012317
OpenAlexW4324309719

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read17
measurements read88
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.