ArticleFrontiers in public health2026
Respiratory symptoms, vaccination coverage, and antibiotic use among Hajj pilgrims: a multi-season cross sectional study (2023-2025).
Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Respiratory tract infections are the most frequently reported illnesses during Hajj, one of the world's largest recurring mass gatherings. The convergence of millions of pilgrims from diverse geographic regions in Makkah, Saudi Arabia creates conditions conducive to the transmission of respiratory pathogens. Understanding patterns of infection, vaccination coverage, and antibiotic use across multiple seasons is essential to inform preventive strategies. Methods: A multi-season cross-sectional study was conducted during three consecutive Hajj seasons (2023-2025). Adult pilgrims were recruited and interviewed using a standardized structured questionnaire. Data collected included sociodemographic characteristics, vaccination history (meningococcal, influenza, COVID-19, pneumococcal), comorbidities, smoking behavior, respiratory symptoms, healthcare-seeking behavior, and antibiotic use. Multivariable logistic regression analyses were performed to identify factors independently associated with respiratory symptoms and antibiotic consumption. Results: A total of 712 human participants (adult Hajj pilgrims) were enrolled. Overall, 38.9% reported at least one respiratory symptom at the time of assessment, with cough (28.1%), sore throat (23.5%), and runny nose (21.9%) being most common. Chronic lung disease (adjusted odds ratio [aOR] 2.36; 95% CI 1.42-3.92), presence of ≥1 chronic condition (aOR 1.58; 95% CI 1.12-2.24), and current smoking (aOR 1.74; 95% CI 1.15-2.63) were independently associated with respiratory symptoms. Influenza vaccination was associated with reduced odds of multi-symptom respiratory illness (aOR 0.72; 95% CI 0.53-0.98). Among symptomatic participants, 29.6% reported antibiotic use, frequently in the absence of febrile illness. Vaccination coverage was high for meningococcal vaccine (96.1%), while pneumococcal vaccination coverage remained lower. Conclusion: Respiratory symptoms remain a substantial health burden among Hajj pilgrims across consecutive seasons. Chronic lung disease and smoking increase susceptibility, while influenza vaccination appears protective. The frequent use of antibiotics highlights the need for strengthened antimicrobial stewardship. Enhanced vaccination uptake, targeted risk communication, and integrated prevention strategies are critical to mitigating respiratory infection risks during mass gatherings and safeguarding global public health.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.