Evidence map›Paper›PMID 36274183›Full record

ArticleNature communications2022

Contact tracing reveals community transmission of COVID-19 in New York City.

Sen Pei, Sasikiran Kandula, Jaime Cascante Vega, Wan Yang, Steffen Foerster, Corinne Thompson, Jennifer Baumgartner, Shama Desai Ahuja, Kathleen Blaney, Jay K Varma and 2 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

11 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
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  3. Reconstructing the early spatial spread of pandemic respiratory viruses in the United States.Proceedings of the National Academy of Sciences of the United States of America · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 5 institutions in 1 country.

Sen PeiDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, 10032, USA. sp3449@cumc.columbia.edu.ORCID 0000-0002-7072-2995
Sasikiran KandulaDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, 10032, USA.
Jaime Cascante VegaDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, 10032, USA.ORCID 0000-0002-3958-6665
Wan YangDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, 10032, USA.
Steffen FoersterNew York City Department of Health and Mental Hygiene (DOHMH), Long Island City, NY, 11001, USA.
Corinne ThompsonNew York City Department of Health and Mental Hygiene (DOHMH), Long Island City, NY, 11001, USA.
Jennifer BaumgartnerNew York City Department of Health and Mental Hygiene (DOHMH), Long Island City, NY, 11001, USA.
Shama Desai AhujaDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, 10032, USA.
Kathleen BlaneyNew York City Department of Health and Mental Hygiene (DOHMH), Long Island City, NY, 11001, USA.ORCID 0000-0002-5890-8412
Jay K VarmaDepartment of Population Health Sciences, Weill Cornell Medical College, New York, NY, 10065, USA.ORCID 0000-0003-4764-0294
Theodore LongNYC Health + Hospitals, New York, NY, USA.
Jeffrey ShamanDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, 10032, USA.ORCID 0000-0002-7216-7809
New York City Department of Health and Mental Hygiene · USColumbia University · USColumbia University Irving Medical Center · USCornell University · USNew York City Health and Hospitals Corporation · US

Funding

Quantifying Error Growth to Improve Infectious Disease Forecast AccuracyR01AI163023 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI JEFFREY L SHAMAN · 2021 to 2026
$3.3M
ACL HHS U01CK000592NCEZID CDC HHS U01 CK000592NIAID NIH HHS R01 AI163023
6 · The paper itself

Abstract

Understanding SARS-CoV-2 transmission within and among communities is critical for tailoring public health policies to local context. However, analysis of community transmission is challenging due to a lack of high-resolution surveillance and testing data. Here, using contact tracing records for 644,029 cases and their contacts in New York City during the second pandemic wave, we provide a detailed characterization of the operational performance of contact tracing and reconstruct exposure and transmission networks at individual and ZIP code scales. We find considerable heterogeneity in reported close contacts and secondary infections and evidence of extensive transmission across ZIP code areas. Our analysis reveals the spatial pattern of SARS-CoV-2 spread and communities that are tightly interconnected by exposure and transmission. We find that locations with higher vaccination coverage and lower numbers of visitors to points-of-interest had reduced within- and cross-ZIP code transmission events, highlighting potential measures for curtailing SARS-CoV-2 spread in urban settings.

Indexed as

Contact TracingCOVID-19HumansNew York CityPandemicsSARS-CoV-2

Identifiers

PMID36274183
PMCPMC9588776
OpenAlexW4307130883

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.