Evidence map›Paper›PMID 35340741›Full record

ArticleEthics & behavior2022

Ethical Perspectives in Sharing Digital Data for Public Health Surveillance Before and Shortly After the Onset of the COVID-19 Pandemic.

Romina A Romero, Sean D Young

Abstract read
In one paragraph

Article in Ethics & behavior, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

2 authors.

Romina A RomeroDepartment of Emergency Medicine, University of California, Irvine, California, United States of America.
Sean D YoungDepartment of Emergency Medicine, University of California, Irvine, California, United States of America.

Funding

Survey CoreU2CDA050098 · NIDA · UNIVERSITY OF CHICAGO · PI POLLACK, HAROLD ALEXANDER, SCHNEIDER, JOHN · 2019 to 2019
$17.2M
Mining real-time social media big data to monitor HIV: Development and Ethical IssuesR01AI132030 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YOUNG, SEAN · 2017 to 2020
$3.4M
HOPE Social Media Intervention for HIV Testing and Studying Social NetworksR01MH106415 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YOUNG, SEAN · 2015 to 2019
$2.9M
Digital Device ID Targeting for Increasing Medications for Opioid Use Disorder: A Feasibility and Acceptability StudyR34DA054511 · NIDA · UNIVERSITY OF CALIFORNIA-IRVINE · PI YOUNG, SEAN · 2021 to 2023
$707k
Adapting the HOPE Online Support Intervention to Increase MAT Uptake Among OUD PatientsR61AT010606 · NCCIH · UNIVERSITY OF CALIFORNIA-IRVINE · PI YOUNG, SEAN · 2019 to 2019
$374k
NCCIH NIH HHS R61 AT010606NIAID NIH HHS R01 AI132030NIDA NIH HHS R34 DA054511NIDA NIH HHS U2C DA050098NIMH NIH HHS R01 MH106415
6 · The paper itself

Abstract

Data from digital technologies are increasingly integrated in public health research. In April of 2020, we interviewed a subset of participants (N=25) who completed a survey approximately one month earlier (just prior to the declaration of the COVID-19 pandemic in the United States). Using the survey, we contacted and interviewed participants who had expressed their willingness or unwillingness to share digital data (e.g., from contact tracing apps) for use in public health. We followed a directed content analysis approach for the analysis of the interview data. Among participants who had reported being unwilling to share data, concerns about privacy, confidentiality, and the purpose of the research were cited. During the interviews, 76.9% of the participants who had previously indicated that they were unwilling to share their data, expressed willingness to share data in order to assist with COVID-19 prevention. Our results contribute to our understanding of people's perspectives on sharing personal data and of the way their perspectives can vary as a function of potential uses of their personal information (e.g., prevention of COVID-19).

Indexed as

contact tracingCOVID-19data privacydigital toolssocial media

Identifiers

PMID35340741
PMCPMC8942380

What OpenQuestion holds

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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.