Evidence map›Paper›PMID 39186007›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2024

A GIS software-based method to identify public health data belonging to address-defined communities.

Amanda M Lam, Mariana C Singletary, Theresa Cullen

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Amanda M LamEpidemiology Division, Pima County Health Department, Tucson, AZ 85714, United States.ORCID 0009-0005-4202-6166
Mariana C SingletaryEpidemiology Division, Pima County Health Department, Tucson, AZ 85714, United States.
Theresa CullenPima County Health Department, Tucson, AZ 85714, United States.ORCID 0000-0002-8730-5688

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis communication presents the results of defining a tribal health jurisdiction by a combination of tribal affiliation (TA) and case address. MATERIALS AND

methodsThrough a county-tribal partnership, Geographic Information System (GIS) software and custom code were used to extract tribal data from county data by identifying reservation addresses in county extracts of COVID-19 case records from December 30, 2019, to December 31, 2022 (n = 374 653) and COVID-19 vaccination records from December 1, 2020, to April 18, 2023 (n = 2 355 058).

resultsThe tool identified 1.91 times as many case records and 3.76 times as many vaccination records as filtering by TA alone. DISCUSSION AND

conclusionThis method of identifying communities by patient address, in combination with TA and enrollment, can help tribal health jurisdictions attain equitable access to public health data, when done in partnership with a data sharing agreement. This methodology has potential applications for other populations underrepresented in public health and clinical research.

Indexed as

COVID-19Geographic Information SystemsSoftwareCOVID-19 VaccinesHumansIndians, North AmericanPublic HealthResidence CharacteristicsCOVID-19 VaccinesAmerican Indian and Alaska Nativegeocodinggeographic information systemshealth equitypublic health surveillance

Identifiers

PMID39186007
PMCPMC11491637

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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.