Evidence map›Paper›PMID 34117227›Full record

ArticleNature communications2021

Citywide serosurveillance of the initial SARS-CoV-2 outbreak in San Francisco using electronic health records.

Isobel Routledge, Adrienne Epstein, Saki Takahashi, Owen Janson, Jill Hakim, Elias Duarte, Keirstinne Turcios, Joanna Vinden, Kirk Sujishi, Jesus Rangel and 17 more

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

27 authors.

Isobel Routledge *University of California San Francisco, San Francisco, CA, USA. isobel.routledge@ucsf.edu.ORCID 0000-0002-0354-4076
Adrienne Epstein *University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0002-8253-6102
Saki Takahashi *University of California San Francisco, San Francisco, CA, USA.
Owen JansonUniversity of California San Francisco, San Francisco, CA, USA.
Jill HakimUniversity of California San Francisco, San Francisco, CA, USA.
Elias DuarteUniversity of California San Francisco, San Francisco, CA, USA.
Keirstinne TurciosUniversity of California San Francisco, San Francisco, CA, USA.
Joanna VindenUniversity of California San Francisco, San Francisco, CA, USA.
Kirk SujishiUniversity of California San Francisco, San Francisco, CA, USA.
Jesus RangelUniversity of California San Francisco, San Francisco, CA, USA.
Marcelina CohUniversity of California San Francisco, San Francisco, CA, USA.
Lee BesanaUniversity of California San Francisco, San Francisco, CA, USA.
Wai-Kit HoUniversity of California San Francisco, San Francisco, CA, USA.
Ching-Ying OonUniversity of California San Francisco, San Francisco, CA, USA.
Chui Mei OngUniversity of California San Francisco, San Francisco, CA, USA.
Cassandra YunUniversity of California San Francisco, San Francisco, CA, USA.ORCID 0000-0002-6971-2060
Kara LynchUniversity of California San Francisco, San Francisco, CA, USA.
Alan H B WuUniversity of California San Francisco, San Francisco, CA, USA.
Wesley WuChan Zuckerberg Biohub, San Francisco, CA, USA.
William KarlonUniversity of California San Francisco, San Francisco, CA, USA.
Edward ThornborrowUniversity of California San Francisco, San Francisco, CA, USA.
Michael J PelusoUniversity of California San Francisco, San Francisco, CA, USA.ORCID 0000-0003-0585-6230
Timothy J HenrichUniversity of California San Francisco, San Francisco, CA, USA.
John E PakChan Zuckerberg Biohub, San Francisco, CA, USA.
Jessica BriggsUniversity of California San Francisco, San Francisco, CA, USA.ORCID 0000-0002-8078-3898
Bryan GreenhouseUniversity of California San Francisco, San Francisco, CA, USA.ORCID 0000-0003-0287-9111
Isabel Rodriguez-BarraquerUniversity of California San Francisco, San Francisco, CA, USA.

Funding

MIDAS Coordination CenterU24GM132013 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HOCHHEISER, HARRY S · 2019 to 2023
$8.1M
BIOLOGY OF INFECTIOUS DISEASES TRAINING PROGRAMT32AI007641 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MATTHEW G DORSEY · 2000 to 2026
$6.9M
Training in HIV Translational ResearchT32AI060530 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Diane V Havlir · 2005 to 2026
$6.4M
Targeting Non Viral Markers of HIV PersistenceR01AI141003 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HENRICH, TIMOTHY JENSEN · 2018 to 2022
$4.9M
Uncovering the dynamics of human pathogens using high throughput multiplexed serological toolsR35GM138361 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI RODRÍGUEZ-BARRAQUER, ISABEL · 2020 to 2024
$1.6M
Mentoring translational scientists in international infectious disease researchK24AI144048 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Bryan R Greenhouse · 2019 to 2026
$1.6M
NIAID NIH HHS K24 AI144048NIAID NIH HHS R01 AI141003NIAID NIH HHS T32 AI060530NIGMS NIH HHS R35 GM138361NIGMS NIH HHS U24 GM132013
6 · The paper itself

Abstract

Serosurveillance provides a unique opportunity to quantify the proportion of the population that has been exposed to pathogens. Here, we developed and piloted Serosurveillance for Continuous, ActionabLe Epidemiologic Intelligence of Transmission (SCALE-IT), a platform through which we systematically tested remnant samples from routine blood draws in two major hospital networks in San Francisco for SARS-CoV-2 antibodies during the early months of the pandemic. Importantly, SCALE-IT allows for algorithmic sample selection and rich data on covariates by leveraging electronic health record data. We estimated overall seroprevalence at 4.2%, corresponding to a case ascertainment rate of only 4.9%, and identified important heterogeneities by neighborhood, homelessness status, and race/ethnicity. Neighborhood seroprevalence estimates from SCALE-IT were comparable to local community-based surveys, while providing results encompassing the entire city that have been previously unavailable. Leveraging this hybrid serosurveillance approach has strong potential for application beyond this local context and for diseases other than SARS-CoV-2.

Indexed as

AdultAgedAged, 80 and overChildChild, PreschoolCOVID-19Electronic Health RecordsFemaleHumansInfantInfant, NewbornMaleMiddle AgedPandemicsSan FranciscoSARS-CoV-2

Identifiers

PMID34117227
PMCPMC8195995

What OpenQuestion holds

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Registered trials

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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.