Evidence map›Paper›PMID 40885930›Full record

ArticleBMC pulmonary medicine2025

Evaluating the impact of altitudinal variations on COVID-19 mortality rates: a comprehensive analysis.

Emre Karsli, Damla Anbarli Metin, Arda Kocatas, Feride Fulya Ercan, Ramazan Sabirli, Aylin Koseler, Matteo Pellegrini

Abstract read
In one paragraph

Article in BMC pulmonary medicine, 2025. 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
–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

1 citing paper in PubMed.

  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

7 authors.

Emre KarsliFaculty of Medicine Department of Emergency Medicine, Cigli Training and Research Hospital, Izmir Bakircay University, Izmir, Turkey. emre.karsli@bakircay.edu.tr.ORCID http://orcid.org/0000-0002-0441-3019
Damla Anbarli MetinFaculty of Medicine, Department of Emergency Medicine, Karabuk University, Karabuk, Turkey.ORCID http://orcid.org/0000-0001-9873-4587
Arda KocatasFaculty of Medicine Department of Emergency Medicine, Cigli Training and Research Hospital, Izmir Bakircay University, Izmir, Turkey.ORCID http://orcid.org/0000-0003-4196-8993
Feride Fulya ErcanFaculty of Medicine Department of Emergency Medicine, Cigli Training and Research Hospital, Izmir Bakircay University, Izmir, Turkey.ORCID http://orcid.org/0000-0002-3239-9058
Ramazan SabirliFaculty of Medicine Department of Emergency Medicine, Cigli Training and Research Hospital, Izmir Bakircay University, Izmir, Turkey.ORCID http://orcid.org/0000-0003-4599-5833
Aylin KoselerFaculty of Medicine, Department of Biophysics, Pamukkale University, Denizli, Turkey.ORCID http://orcid.org/0000-0003-4832-0436
Matteo PellegriniDavid Geffen School of Medicine, Department of Molecular, Cell & Developmental Biology, University of California Los Angeles, Los Angeles, USA.ORCID http://orcid.org/0000-0001-9355-9564

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh altitude, known for its effects on respiratory diseases, was analyzed for its potential protective role. Data from the New York Times COVID-19 repository, U.S. Census Bureau, and topographic maps were utilized, covering January 2020 to August 2022, including pre- and post-vaccination periods. This study investigates the influence of high altitude on COVID-19 mortality, fatality rates, and vaccination outcomes in the United States. COVID-19, caused by SARS-CoV-2, has shown significant disparities in severity and outcomes across populations.

methodsThis study utilized publicly available data from the New York Times COVID-19 repository and the US Census Bureau's American Community Survey to analyze case fatality rates across mainland US counties from January 21, 2020, to August 13, 2022. Average altitude data were obtained from topographic maps, and counties outside the mainland USA were excluded. Vaccination-related data were assessed using the cutoff date of December 14, 2020. The rural-urban status of counties was determined using the Index of Relative Rurality (IRR) from Waldorf and Kim's study, which included 3105 of 3109 counties.

resultsCounties above 1500 m exhibited significantly lower case numbers, deaths, cases per million, and fatality rates compared to counties below this altitude. Pre-vaccination fatality rates were notably reduced in high-altitude regions (p = 0.0001), while post-vaccination data continued to demonstrate lower fatality rates (p < 0.0001). A positive correlation between rurality and post-vaccination fatality rates was observed (rho = 0.176, p = 0.0001). Altitude, alongside vaccination status, was identified as a critical factor influencing fatality rates (p = 0.001 for both). Additionally, a significant positive correlation between rurality (Index of Relative Rurality) and post-vaccination fatality rates was observed (rho = 0.176, p = 0.0001).

conclusionsOur findings highlight that high-altitude adaptations, such as increased lung capacity and epigenetic changes, may mitigate COVID-19 severity. However, the role of environmental and genetic factors remains insufficiently explored. Importantly, the study underscores healthcare inequities in rural high-altitude areas, where limited vaccination access exacerbates mortality risks. While altitude shows promise as a protective factor, addressing healthcare access disparities and further investigating high-altitude physiological and genetic adaptations are imperative for optimizing COVID-19 outcomes in diverse populations.

Indexed as

AltitudeCOVID-19COVID-19 VaccinesHumansRural PopulationSARS-CoV-2United StatesVaccinationCOVID-19 Vaccines

Identifiers

PMID40885930
PMCPMC12398992

What Socratic 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 Socratic graph.