Evidence map›Paper›PMID 34543324›Full record

Observational studyPloS one2021

Analysis of social interactions and risk factors relevant to the spread of infectious diseases at hospitals and nursing homes.

Frederik Boe Hüttel, Anne-Mette Iversen, Marco Bo Hansen, Bjarne Kjær Ersbøll, Svend Ellermann-Eriksen, Niels Lundtorp Olsen

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

6 authors at 2 institutions in 1 country.

Frederik Boe HüttelDTU Compute, Technical University of Denmark, Lyngby, Denmark.ORCID 0000-0003-4603-3708
Anne-Mette IversenDepartment of Oncology, Aarhus University Hospital, Aarhus, Denmark.
Marco Bo HansenKonduto ApS, Sani nudge, Copenhagen, Denmark.ORCID 0000-0002-5695-6728
Bjarne Kjær ErsbøllDTU Compute, Technical University of Denmark, Lyngby, Denmark.
Svend Ellermann-EriksenDepartment of Clinical Microbiology, Aarhus University Hospital, Aarhus, Denmark.
Niels Lundtorp OlsenDTU Compute, Technical University of Denmark, Lyngby, Denmark.
Technical University of Denmark · DKAarhus University Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ensuring the safety of healthcare workers is vital to overcome the ongoing COVID-19 pandemic. We here present an analysis of the social interactions between the healthcare workers at hospitals and nursing homes. Using data from an automated hand hygiene system, we inferred social interactions between healthcare workers to identify transmission paths of infection in hospitals and nursing homes. A majority of social interactions occurred in medication rooms and kitchens emphasising that health-care workers should be especially aware of following the infection prevention guidelines in these places. Using epidemiology simulations of disease at the locations, we found no need to quarantine all healthcare workers at work with a contagious colleague. Only 14.1% and 24.2% of the health-care workers in the hospitals and nursing homes are potentially infected when we disregard hand sanitization and assume the disease is very infectious. Based on our simulations, we observe a 41% and 26% reduction in the number of infected healthcare workers at the hospital and nursing home, when we assume that hand sanitization reduces the spread by 20% from people to people and 99% from people to objects. The analysis and results presented here forms a basis for future research to explore the potential of a fully automated contact tracing systems.

Indexed as

HospitalsNursing HomesSocial InteractionCommunicable DiseasesComputer SimulationDenmarkHealth PersonnelHumansRisk Factors

Identifiers

PMID34543324
PMCPMC8452062
OpenAlexW3199483745

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.