Evidence map›Paper›PMID 33200150›Full record

ArticlemedRxiv : the preprint server for health sciences2020

Association of social distancing and masking with risk of COVID-19.

Sohee Kwon, Amit D Joshi, Chun-Han Lo, David A Drew, Long H Nguyen, Chuan-Guo Guo, Wenjie Ma, Raaj S Mehta, Erica T Warner, Christina M Astley and 10 more

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2020. 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
–field-weighted citation impact
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, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 6 institutions in 3 countries.

Sohee KwonClinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Amit D JoshiClinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Chun-Han LoClinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
David A DrewClinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Long H NguyenClinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Chuan-Guo GuoClinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Wenjie MaClinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Raaj S MehtaClinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Erica T WarnerClinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Christina M AstleyDivision of Endocrinology and Computational Epidemiology, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA.
Jordi MerinoDiabetes Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Benjamin MurraySchool of Biomedical Engineering & Imaging Sciences, King's College London, London, U.K.
Jonathan WolfZoe Global Limited, London, U.K.
Sebastien OurselinSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, U.K.
Claire J StevesDepartment of Twin Research and Genetic Epidemiology, King's College London, London, U.K.
Tim D SpectorDepartment of Twin Research and Genetic Epidemiology, King's College London, London, U.K.
Jaime E HartChanning Division of Network Medicine, Department of Medicine, Brigham and Hospital and Harvard Medical School, Boston, MA, USA.
Mingyang SongClinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Trang VoPhamEpidemiology Program, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, 15 Seattle, WA, USA.
Andrew T ChanClinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Harvard University · USKing's College London · GBBroad Institute · USBrigham and Women's Hospital · USUniversity of Washington · USZOE (United Kingdom) · GB

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI JAIME ELIZABETH HART · 1985 to 2026
$44.6M
ROLE OF DIETARY CONSTITUENTS ON GENE EXPRESSION IN INTESTINAL EPITHELIUMP30DK040561 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Elizabeth Austen Lawson, Takara Leah Stanley · 1994 to 2026
$31.6M
Integrating lifecourse approaches, biologic and digital phenotypes in support of heart and lung disease epidemiologic researchU01HL145386 · NHLBI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI CHAVARRO, JORGE EDUARDO, MANSON, JOANN ELISABETH · 2019 to 2025
$17.8M
Risk Prediction of Symptomatic Gallbladder DiseaseK01DK110267 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI JOSHI, AMIT DOLAR · 2016 to 2021
$876k
Impact of Aspirin on the Gut Microbiome and Mucosal MicroenvironmentK01DK120742 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI DREW, DAVID A · 2020 to 2024
$793k
Air pollution and health disparities in liver disease and cancerK01DK125612 · NIDDK · FRED HUTCHINSON CANCER RESEARCH CENTER · PI VOPHAM, TRANG · 2020 to 2024
$746k
Seasonal and Viral Determinants of Type 1 Diabetes Onset, Remission, and Glycemic ControlK23DK120899 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI ASTLEY, CHRISTINA M. · 2019 to 2021
$682k
EPA EP-W-17-011NHLBI NIH HHS U01 HL145386NIDDK NIH HHS K01 DK110267NIDDK NIH HHS K01 DK120742NIDDK NIH HHS K01 DK125612NIDDK NIH HHS K23 DK120899NIDDK NIH HHS P30 DK040561NIEHS NIH HHS P30 ES000002Wellcome Trust
6 · The paper itself

Abstract

Given the continued burden of severe acute respiratory syndrome coronavirus 2 (SARS CoV-2) disease (COVID-19) across the U.S., there is a high unmet need for data to inform decision-making regarding social distancing and universal masking. We examined the association of community-level social distancing measures and individual masking with risk of predicted COVID-19 in a large prospective U.S. cohort study of 198,077 participants. Individuals living in communities with the greatest social distancing had a 31% lower risk of predicted COVID-19 compared with those living in communities with poor social distancing. Self-reported masking was associated with a 63% reduced risk of predicted COVID-19 even among individuals living in a community with poor social distancing. These findings provide support for the efficacy of mask-wearing even in settings of poor social distancing in reducing COVID-19 transmission. In the current environment of relaxed social distancing mandates and practices, universal masking may be particularly important in mitigating risk of infection.

Identifiers

PMID33200150
PMCPMC7668763
OpenAlexW3100457068

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.