Evidence map›Paper›PMID 35998763›Full record

ArticlePreventive medicine2022

US shelter in place policies and child abuse Google search volume during the COVID-19 pandemic.

Corinne A Riddell, Kriszta Farkas, Krista Neumann, N Jeanie Santaularia, Jennifer Ahern, Susan M Mason

Open access · hybridAbstract read
In one paragraph

Article in Preventive medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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

6 authors at 2 institutions in 1 country.

Corinne A RiddellDivision of Epidemiology, School of Public Health, University of California, Berkeley, USA; Division of Biostatistics, School of Public Health, University of California, Berkeley, USA. Electronic address: c.riddell@berkeley.edu.
Kriszta FarkasDivision of Epidemiology, School of Public Health, University of California, Berkeley, USA.
Krista NeumannDivision of Epidemiology, School of Public Health, University of California, Berkeley, USA.
N Jeanie SantaulariaMinnesota Population Center, University of Minnesota, MN, USA; Division of Epidemiology and Community Health, University of Minnesota, MN, USA.
Jennifer AhernDivision of Epidemiology, School of Public Health, University of California, Berkeley, USA.
Susan M MasonDivision of Epidemiology and Community Health, University of Minnesota, MN, USA.
University of California, Berkeley · USUniversity of Minnesota · US

Funding

Minnesota Population Center Science and Technical CoreP2CHD041023 · NICHD · UNIVERSITY OF MINNESOTA · PI THERESA LOUISE OSYPUK · 2016 to 2026
$4.3M
Dev-Core-001P2CHD073964 · NICHD · UNIVERSITY OF CALIFORNIA BERKELEY · PI EDWARD ANDREW MIGUEL · 2019 to 2026
$2.9M
Interdisciplinary Population Health Science Training: Linking Multilevel Forces Across TimeT32HD095134 · NICHD · UNIVERSITY OF MINNESOTA · PI THERESA LOUISE OSYPUK, John Robert Warren · 2019 to 2026
$2.5M
Computational Social Science Training ProgramT32HD101364 · NICHD · UNIVERSITY OF CALIFORNIA BERKELEY · PI Jennifer Ahern, PATRICK T BRADSHAW · 2020 to 2026
$1.7M
NICHD NIH HHS P2C HD041023NICHD NIH HHS P2C HD073964NICHD NIH HHS T32 HD095134NICHD NIH HHS T32 HD101364
6 · The paper itself

Abstract

The COVID-19 pandemic has led to unemployment, school closures, movement restrictions, and social isolation, all of which are child abuse risk factors. Our objective was to estimate the effect of COVID-19 shelter in place (SIP) policies on child abuse as captured by Google searches. We applied a differences-in-differences design to estimate the effect of SIP on child abuse search volume. We linked state-level SIP policies to outcome data from the Google Health Trends Application Programming Interface. The outcome was searches for child abuse-related phrases as a scaled proportion of total searches for each state-week between December 31, 2017 and June 14, 2020. Between 914 and 1512 phrases were included for each abuse subdomain (physical, sexual, and emotional). Eight states and DC were excluded because of suppressed outcome data. Of the remaining states, 38 introduced a SIP policy between March 19, 2020 and April 7, 2020 and 4 states did not. The introduction of SIP generally led to no change, except for a slight reduction in child abuse search volume in weeks 8-10 post-SIP introduction, net of changes experienced by states that did not introduce SIP at the same time. We did not find strong evidence for an effect of SIP on child abuse searches. However, an increase in total search volume during the pandemic that may be differential between states with and without SIP policies could have biased these findings. Future work should examine the effect of SIP at the individual and population level using other data sources.

Indexed as

Child AbuseCOVID-19ChildEmergency ShelterHumansPandemicsPolicySearch EngineUnited StatesChild abuseChild neglectCOVID-19Shelter in place

Identifiers

PMID35998763
PMCPMC9395225
OpenAlexW4292686004

What OpenQuestion holds

Textmetadata
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.