Evidence map›Paper›PMID 34709868›Full record

ArticleAmerican journal of public health2021

COVID-19 Pandemic and Indigenous Representation in Public Health Data.

Kimberly R Huyser, Aggie J Yellow Horse, Alena A Kuhlemeier, Michelle R Huyser

Abstract read
In one paragraph

Article in American journal of public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. A GIS software-based method to identify public health data belonging to address-defined communities.Journal of the American Medical Informatics Association : JAMIA · 2024
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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

4 authors.

Kimberly R HuyserKimberly R. Huyser is with the Department of Sociology at The University of British Columbia, Vancouver, BC, Canada. Aggie J. Yellow Horse is with the School of Social Transformation at the Arizona State University, Tempe. Alena A. Kuhlemeier is with the Department of Sociology at the University of New Mexico, Albuquerque. Michelle R. Huyser is with the Department of Surgery at Roswell Park Comprehensive Cancer Center, Buffalo, NY.
Aggie J Yellow HorseKimberly R. Huyser is with the Department of Sociology at The University of British Columbia, Vancouver, BC, Canada. Aggie J. Yellow Horse is with the School of Social Transformation at the Arizona State University, Tempe. Alena A. Kuhlemeier is with the Department of Sociology at the University of New Mexico, Albuquerque. Michelle R. Huyser is with the Department of Surgery at Roswell Park Comprehensive Cancer Center, Buffalo, NY.
Alena A KuhlemeierKimberly R. Huyser is with the Department of Sociology at The University of British Columbia, Vancouver, BC, Canada. Aggie J. Yellow Horse is with the School of Social Transformation at the Arizona State University, Tempe. Alena A. Kuhlemeier is with the Department of Sociology at the University of New Mexico, Albuquerque. Michelle R. Huyser is with the Department of Surgery at Roswell Park Comprehensive Cancer Center, Buffalo, NY.
Michelle R HuyserKimberly R. Huyser is with the Department of Sociology at The University of British Columbia, Vancouver, BC, Canada. Aggie J. Yellow Horse is with the School of Social Transformation at the Arizona State University, Tempe. Alena A. Kuhlemeier is with the Department of Sociology at the University of New Mexico, Albuquerque. Michelle R. Huyser is with the Department of Surgery at Roswell Park Comprehensive Cancer Center, Buffalo, NY.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Public Health 3.0 calls for the inclusion of new partners and novel data to bring systemic change to the US public health landscape. The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has illuminated significant data gaps influenced by ongoing colonial legacies of racism and erasure. American Indian and Alaska Native (AI/AN) populations and communities have been disproportionately affected by incomplete public health data and by the COVID-19 pandemic itself. Our findings indicate that only 26 US states were able to calculate COVID-19‒related death rates for AI/AN populations. Given that 37 states have Indian Health Service locations, we argue that public health researchers and practitioners should have a far larger data set of aggregated public health information on AI/AN populations. Despite enormous obstacles, local Tribal facilities have created effective community responses to COVID-19 testing, tracking, and vaccine administration. Their knowledge can lead the way to a healthier nation. Federal and state governments and health agencies must learn to responsibly support Tribal efforts, collect data from AI/AN persons in partnership with Indian Health Service and Tribal governments, and communicate effectively with Tribal authorities to ensure Indigenous data sovereignty. (

Indexed as

Public HealthAlaska NativesAmerican Indian or Alaska NativeCOVID-19COVID-19 TestingCOVID-19 VaccinesData CollectionHumansSARS-CoV-2United StatesUnited States Indian Health ServiceCOVID-19 Vaccines

Identifiers

PMID34709868
PMCPMC8561074

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.