Evidence map›Paper›PMID 41969704›Full record

ArticleIndian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine2026

Kumbh Mela 2025 as a Case Study for Road Safety: A Public Health Model to Reduce RTA-Related Trauma and Deaths in India.

Preeti Tiwari, Nishtha Chauhan, Narendra Kumar Tiwary, Vaibhav Pandey

Abstract read
In one paragraph

Article in Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine, 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

4 authors.

Preeti TiwariUnit of Oral and Maxillofacial Surgery, Faculty of Dental Sciences, Institute of Medical Sciences, Banaras Hindu University, Uttar Pradesh, India.
Nishtha ChauhanUnit of Oral and Maxillofacial Surgery, Faculty of Dental Sciences, Institute of Medical Sciences, Banaras Hindu University, Uttar Pradesh, India.
Narendra Kumar TiwaryDepartment of Community Medicine RG Kar Medical College, Kolkata, West Bengal, India.
Vaibhav PandeyDepartment of Pediatric Surgery, Institute of Medical Sciences, Banaras Hindu University, Uttar Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

India has one of the highest rates of road traffic accidents (RTAs) globally. Mass gatherings significantly amplify this burden due to increased vehicular movement, crowd congestion, and infrastructural strain. We conducted a retrospective study to assess the impact of Kumbh Mela 2025, one of the largest documented human congregations, on RTA-related injuries. Retrospective, hospital-based study at a Level-1 trauma center comparing trauma cases in a 15-day Kumbh period versus a 25-day pre-Kumbh baseline. Poisson regression on baseline data estimated expected case counts for the Kumbh period; observed versus expected cases were compared. The Kumbh period saw 202 trauma cases versus 181 predicted (12% surge). RTAs were the predominant cause of injuries, contributing substantially to maxillofacial trauma cases. National projections assumed 400-600 million pilgrim journeys. Based on regression projection model, there was a 42% injury reduction from safety interventions. Trauma incidence rose modestly during Kumbh Mela 2025, but targeted road safety measures mitigated potential harm. Mass-gathering preparedness with evidence-based interventions can yield significant public health benefits, informing policy for safer large events in India.

Indexed as

Kumbhmaxillofacial traumaRTAsafety measures

Identifiers

PMID41969704
PMCPMC13068409

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

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 OpenQuestion graph.