Evidence map›Paper›PMID 36215233›Full record

ArticlePloS one2022

Disaggregating Asian American and Pacific Islander Risk of Fatal Police Violence.

Gabriel L Schwartz, Jaquelyn L Jahn

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Guiding Principles for Writing About Immigrants and Immigrant Health.Journal of immigrant and minority health · 2024
    Article
  4. A Call for a Transformative Public Health Training: The Necessity of Abolition.Health education & behavior : the official publication of the Society for Public Health Education · 2023
    Article
  5. 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

2 authors.

Gabriel L SchwartzPhilip R. Lee Institute for Health Policy Studies, University of California, San Francisco, San Francisco, CA, United States of America.ORCID 0000-0001-8299-1407
Jaquelyn L JahnThe Ubuntu Center on Racism, Global Movements, and Population Health Equity and the Department of Epidemiology & Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, PA, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High rates and racial inequities in U.S. fatal police violence are an urgent area of public health concern and policy attention. Asian Americans and Pacific Islanders (AAPIs) have been described as experiencing low rates of fatal police violence, yet AAPI subgroups vary widely on nearly every demographic and economic metric. Here, we calculate fatal police violence rates by AAPI regional and national/ethnic background, finding wide variation. We compile a list of AAPI people killed in interactions with police in 2013-2019, then use web searches and surname algorithms to identify decedents' backgrounds. Rates are then calculated by combining this numerator data with population denominators from the American Community Survey and fitting Poisson models. Excluding 18% of deaths with missing regional backgrounds, East and South Asian Americans died at a rate of 0.05 and 0.04 deaths per 100,000 (95% CI: 0.04-0.06 and 0.02-0.08), respectively, less than a third of Southeast Asian Americans' rate (0.16, CI: 0.13-0.19). Pacific Islanders suffered higher rates (0.88, CI: 0.65-1.19), on par with Native and Black Americans. More granularly, Southeast Asian American groups displaced by US war in Southeast Asia suffered higher rates than others from the same region. Traditional racial classifications thus obscure high risks of fatal police violence for AAPI subgroups. Disaggregation is needed to improve responses to fatal police violence and its racial/ethnic inequities.

Indexed as

Asian American Native Hawaiian and Pacific IslanderPoliceViolenceEthnicityHumansUnited States

Identifiers

PMID36215233
PMCPMC9550032

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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.