Evidence map›Paper›PMID 36639132›Full record

ArticleEmerging infectious diseases2023

Estimated Cases Averted by COVID-19 Digital Exposure Notification, Pennsylvania, USA, November 8, 2020-January 2, 2021.

Seonghye Jeon, Gabriel Rainisch, A-Mac Harris, Jared Shinabery, Muneeza Iqbal, Amar Pallavaram, Stacy Hilton, Saugat Karki, Patrick K Moonan, John E Oeltmann and 1 more

Abstract read
In one paragraph

Article in Emerging infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Seonghye Jeon
Gabriel Rainisch
A-Mac Harris
Jared Shinabery
Muneeza Iqbal
Amar Pallavaram
Stacy Hilton
Saugat Karki
Patrick K Moonan
John E Oeltmann
Martin I Meltzer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We combined field-based data with mathematical modeling to estimate the effectiveness of smartphone-enabled COVID-19 exposure notification in Pennsylvania, USA. We estimated that digital notifications potentially averted 7-69 cases/1,000 notifications during November 8, 2020-January 2, 2021. Greater use and increased compliance could increase the effectiveness of digital notifications.

Indexed as

COVID-19Disease NotificationHumansModels, TheoreticalPennsylvaniaSARS-CoV-2cases avertedcoronaviruscoronavirus diseaseCOVID-19digital exposure notificationPennsylvaniarespiratory infectionsSARSSARS-CoV-2severe acute respiratory syndrome coronavirus 2United Statesviruseszoonoses

Identifiers

PMID36639132
PMCPMC9881797

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.