Evidence map›Paper›PMID 39206001›Full record

ArticleFrontiers in public health2024

Evaluation of the effectiveness of Washington State's digital COVID-19 exposure notification system over one pandemic year.

Adam S Elder, Cory J Arrouzet, Ljubomir Miljacic, Bryant T Karras, Amanda Higgins, Laura M West, Daniel Lorigan, Debra Revere, Nayak Polissar, Courtney D Segal and 2 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. The utility of bluetooth and smartphone technology to detect peer contact.Experimental and clinical psychopharmacology · 2026
    Article
  2. Article
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

12 authors.

Adam S ElderDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, WA, United States.
Cory J ArrouzetDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, WA, United States.
Ljubomir MiljacicThe Mountain-Whisper-Light: Statistics & Data Science, Seattle, WA, United States.
Bryant T KarrasWashington State Department, Tumwater, WA, United States.
Amanda HigginsWashington State Department, Tumwater, WA, United States.
Laura M WestWashington State Department, Tumwater, WA, United States.
Daniel LoriganDepartment of Biobehavioral Nursing and Health Informatics, School of Nursing, University of Washington, Seattle, WA, United States.
Debra RevereDepartment of Health Systems and Population Health, School of Public Health, University of Washington, Seattle, WA, United States.
Nayak PolissarThe Mountain-Whisper-Light: Statistics & Data Science, Seattle, WA, United States.
Courtney D SegalDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, WA, United States.
William B LoberWashington State Department, Tumwater, WA, United States.
Janet G BasemanDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, WA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Digital exposure notifications are a novel public health intervention used during the COVID-19 pandemic to alert users of possible COVID-19 exposure. We seek to quantify the effectiveness of Washington State's digital exposure notification system, WA Notify, as measured by the number of COVID-19 cases averted during a 1-year period. Methods: While maintaining individuals' privacy, WA Notify collected data that could be used to evaluate the system's effectiveness. This article uses these and other data and builds on a previous model to estimate the number of cases averted by WA Notify. Novel estimates of some model parameters are possible because of improvements in the quality and breadth of data reported by WA Notify. Results: We estimate that WA Notify averted 64,000 (sensitivity analysis: 35,000-92,000) COVID-19 cases in Washington State during the study period from 1 March 2021 to 28 February 2022. During this period, there were an estimated 1,089,000 exposure notifications generated and 155,000 cases reported to WA Notify. During the last 78 days of the study period, the median estimated number of daily active users was 1,740,000. Discussion: We believe WA Notify reduced the impact of the COVID-19 pandemic in Washington State and that similar systems could reduce the impact of future communicable disease outbreaks.

Indexed as

COVID-19Contact TracingDisease NotificationHumansPandemicsPublic HealthSARS-CoV-2WashingtonCOVID-19data privacydigital exposure notificationsnon-pharmaceutical interventionsoutbreak investigation and response

Identifiers

PMID39206001
PMCPMC11349652

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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.