Evidence map›Paper›PMID 41767959›Full record

ArticleFrontiers in veterinary science2025

AI-based analysis of climatic and air pollution determinants of dog bite incidence.

Sneha Gautam, Aron Rodrick Lakra, N S Athish, Lazarus Godson Asirvatham, Bairi Levi Rakshith, Chang-Hoi Ho, Vibhanshu Vaibhav Singh, Vincent Sam Jebadurai, Lavudiya Ramesh Babu

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 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

9 authors.

Sneha GautamDivision of Civil Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India.
Aron Rodrick LakraDivision of Computer Science and Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India.
N S AthishDivision of Artificial Intelligence and Machine Learning, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India.
Lazarus Godson AsirvathamDivision of Mechanical Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India.
Bairi Levi RakshithDivision of Mechanical Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India.
Chang-Hoi HoDepartment of Climate and Energy Systems Engineering, Ewha Womans University, Seoul, Republic of Korea.
Vibhanshu Vaibhav SinghDivision of Civil Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India.
Vincent Sam JebaduraiDivision of Civil Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India.
Lavudiya Ramesh BabuDivision of Biotechnology, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dog bite incidents are an emerging public health concern that may be influenced by changing environmental conditions. This study investigated the relationship between meteorological variables (maximum temperature and relative humidity) and dog bite incidence across five Indian states: Bihar, Karnataka, Punjab, Telangana, and Uttar Pradesh. The role of key air pollutants, including formaldehyde, nitrogen dioxide, sulfur dioxide, and ozone, was also examined. Statistical analyses showed that maximum temperature (

Indexed as

artificial intelligenceclimate changedog bite incidentsenvironmental dynamicspollution parameterspublic health implications

Identifiers

PMID41767959
PMCPMC12947389

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.