Evidence map›Paper›PMID 35993116›Full record

ArticleThe Journal of infectious diseases2022

Understanding Early Pandemic Severe Acute Respiratory Syndrome Coronavirus 2 Transmission in a Medical Center by Incorporating Public Sequencing Databases to Mitigate Bias.

Jacquelyn Turcinovic, Beau Schaeffer, Bradford P Taylor, Tara C Bouton, Aubrey R Odom-Mabey, Sarah E Weber, Sara Lodi, Elizabeth J Ragan, John H Connor, Karen R Jacobson and 1 more

Open access · hybridAbstract read
In one paragraph

Article in The Journal of infectious diseases, 2022. 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
0.3field-weighted citation impact, top 44% 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, 3 citations in OpenAlex.

  1. Integrated Genomic and Social Network Analyses of SARS-CoV-2 Transmission in the Healthcare Setting.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
    Article
  2. Article
  3. Review
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

11 authors at 2 institutions in 1 country.

Jacquelyn TurcinovicNational Emerging Infectious Diseases Laboratories, Boston University, Boston, Massachusetts, USA.
Beau SchaefferCenter for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Bradford P TaylorCenter for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0001-7808-955X
Tara C BoutonSection of Infectious Diseases, Boston University School of Medicine and Boston Medical Center, Boston, Massachusetts, USA.
Aubrey R Odom-MabeyBioinformatics Program, Boston University, Boston, Massachusetts, USA.
Sarah E WeberSection of Infectious Diseases, Boston University School of Medicine and Boston Medical Center, Boston, Massachusetts, USA.
Sara LodiDepartment of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA.
Elizabeth J RaganSection of Infectious Diseases, Boston University School of Medicine and Boston Medical Center, Boston, Massachusetts, USA.
John H ConnorNational Emerging Infectious Diseases Laboratories, Boston University, Boston, Massachusetts, USA.
Karen R JacobsonSection of Infectious Diseases, Boston University School of Medicine and Boston Medical Center, Boston, Massachusetts, USA.
William P HanageCenter for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Boston University · USCenter for Disease Dynamics, Economics & Policy · US

Funding

Epidemiology of Infectious Diseases and BiodefenseT32AI007535 · NIAID · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI GRAD, YONATAN H, MURRAY, MEGAN B · 1998 to 2025
$4.8M
Deep sequencing of pathogens to precisely define transmission networks using rare variantsR01AI128344 · NIAID · HARVARD SCHOOL OF PUBLIC HEALTH · PI HANAGE, WILLIAM · 2017 to 2021
$3.4M
Predoctoral Training in Bioinformatics and Computational BiologyT32GM100842 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI TULLIUS, THOMAS D · 2012 to 2022
$2.8M
Understanding HIV's impact on RR/MDR-TB development and transmission through genomicsK23AI152930 · NIAID · BOSTON MEDICAL CENTER · PI BOUTON, TARA CATHERINE · 2021 to 2025
$1.0M
NCATS NIH HHSNIAID NIH HHS K23 AI152930NIAID NIH HHS R01 AI128344NIAID NIH HHS T32 AI007535NIGMS NIH HHS T32GM100842NIH HHS 1UL1TR001430
6 · The paper itself

Abstract

backgroundThroughout the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic, healthcare workers (HCWs) have faced risk of infection from within the workplace via patients and staff as well as from the outside community, complicating our ability to resolve transmission chains in order to inform hospital infection control policy. Here we show how the incorporation of sequences from public genomic databases aided genomic surveillance early in the pandemic when circulating viral diversity was limited.

methodsWe sequenced a subset of discarded, diagnostic SARS-CoV-2 isolates between March and May 2020 from Boston Medical Center HCWs and combined this data set with publicly available sequences from the surrounding community deposited in GISAID with the goal of inferring specific transmission routes.

resultsContextualizing our data with publicly available sequences reveals that 73% (95% confidence interval, 63%-84%) of coronavirus disease 2019 cases in HCWs are likely novel introductions rather than nosocomial spread.

conclusionsWe argue that introductions of SARS-CoV-2 into the hospital environment are frequent and that expanding public genomic surveillance can better aid infection control when determining routes of transmission.

Indexed as

COVID-19SARS-CoV-2Health PersonnelHospitalsHumansInfection ControlPandemicsCOVID-19genomic epidemiologyinfection controlnosocomial infectionSARS-CoV-2

Identifiers

PMID35993116
PMCPMC9452097
OpenAlexW4292575684

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.