Evidence map›Paper›PMID 42005731›Full record

ArticleAJPM focus2026

Effects of Demographic Factors and Comorbidities on SAR-CoV-2 (Coronavirus) Severity in Southern New Mexico.

Naheed Shahbaz, Robert Goldsteen, Soyoung Jeon, Rachel Brown, Andrew Issa

Abstract read
In one paragraph

Article in AJPM focus, 2026. 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

5 authors.

Naheed ShahbazCenter for Healthcare Equity in Kidney Disease (CHEK-D), Department of Internal Medicine, University of New Mexico, Albuquerque, New Mexico.
Robert GoldsteenBurrell College of Osteopathic Medicine, Las Cruces, New Mexico.
Soyoung JeonDepartment of Economics, Applied Statistics and International Business, College of Business, New Mexico State University, Las Cruces, New Mexico.
Rachel BrownBurrell College of Osteopathic Medicine, Las Cruces, New Mexico.
Andrew IssaBurrell College of Osteopathic Medicine, Las Cruces, New Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Globally, COVID-19 has caused widespread morbidity and mortality, with comorbidities and demographic disparities shaping risk of severe illness. Although much focus has been on high-population areas and areas with deep public health responses, relatively few studies have examined the Southwestern U.S., particularly the interborder region with Mexico. This study investigates how the COVID-19 pandemic affected patients with common comorbid conditions and examines and compares outcomes in border counties and selected nonborder counties in southern New Mexico. Methods: The data set of COVID-19-positive patients (N=93,586) was collected from the New Mexico Department of Health (June 2020-December 2022). This study examined the associations between demographic characteristics; underlying comorbidities; and COVID-19 outcomes, including hospitalization and death. Results: The patients assessed were more likely to be female (54.8%), Hispanic (48.5%), and border county residents (95.7%). Of all patients, 4,445 (4.8%) were hospitalized, and 1,517 (1.6%) died. Hispanics were associated with higher deaths (OR=1.60; 95% CI=1.28, 1.99), whereas hospitalization did not differ by ethnicity ( Conclusions: This study identified key demographic and clinical factors associated with SARS-CoV-2 outcomes in the New Mexico-Mexico border region. Older age, male adults, residence in nonborder counties, and pre-existing medical conditions were significant predictors of hospitalization and mortality, with several comorbidities showing particularly strong associations. Unlike other studies, in the New Mexico/Mexico region, the greater access to screening and medical services in border zones, given the proximity to 2 larger cities (Las Cruces, NM and El Paso, TX), resulted in improved outcomes than in less well-resourced counties in New Mexico. State departments of health should target state regions with less access to nearby populated areas for their efforts to mitigate these disparities and improve health outcomes.

Indexed as

comorbiditiesCOVID-19health disparitieshospitalization riskSARS-CoV-2U.S.-Mexico border

Identifiers

PMID42005731
PMCPMC13090593

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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.