Evidence map›Paper›PMID 42487905›Full record

ArticleFrontiers in epidemiology2026

Global information-seeking behavior of air pollution and cardiovascular disease: insights from google trends analysis.

Javeria Akhter, Talha Ali, Aasiya Shahbaz, Noor Ul Ain Shahzad, Jamil Nasrallah

Abstract read
In one paragraph

Article in Frontiers in epidemiology, 2026. 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

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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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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

5 authors.

Javeria AkhterLung Health Program, Community Health Directorate, Indus Hospital and Health Network, Karachi, Pakistan.
Talha AliDepartment of Medicine, Shaheed Mohtarma Benazir Bhutto Medical College Lyari, Karachi, Pakistan.
Aasiya ShahbazDepartment of Medicine, Dow University of Health Sciences, Karachi, Pakistan.
Noor Ul Ain ShahzadDepartment of Medicine, Dow University of Health Sciences, Karachi, Pakistan.
Jamil NasrallahDepartment of Medicine, Faculty of Medical Sciences, Lebanese University, Beirut, Lebanon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Air pollution (AP) contributes to over 4.2 million premature deaths annually, with approximately 20% linked to cardiovascular disease (CVD)-related deaths. Despite robust scientific evidence, information-seeking behavior remains poorly characterized. This study applies an infodemiological approach to assess global information-seeking behavior related to AP and its cardiovascular implications. Methods: A retrospective analysis was conducted using Google Trends data from June 2020 to June 2025. Five AP-related search terms (e.g., "air pollution," "PM₂.₅," "air quality index," "environmental pollution," and "mask") and five CVD-related search terms (e.g., "cardiovascular disease", "heart disease," "heart attack," "chest pain," and "high blood pressure") were analyzed globally. Pearson correlation coefficients, partial correlation analysis controlling for pandemic-related confounding, and time-series approaches including ARIMAX modeling and Granger causality testing were applied to assess temporal and correlational patterns in information-seeking behavior. Results: Global information-seeking behavior showed marked variability across AP and CVD search terms. AP showed moderate positive correlations with "CVD", "heart disease", and "high blood pressure" (r = 0.275;0.295;0.386, Conclusion: This analysis indicates moderate information-seeking behavior in the association between AP and CVD, with geographic variation. Findings highlight the need for targeted public health communication strategies that translate AP risk into accessible cardiovascular health messages.

Indexed as

air pollutioncardiovascular diseasegoogle trendsinfodemiologyinformation-seeking behavior

Identifiers

PMID42487905
PMCPMC13388820

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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.