Evidence map›Paper›PMID 38250715›Full record

ArticlePeerJ2024

Time-series analysis of meteorological factors and emergency department visits due to dog/cat bites in Jinshan area, China.

Pei Pang, Xiaoyong Zhou, Yabin Hu, Yin Zhang, Baoshi He, Guoxiong Xu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2024. 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

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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

6 authors.

Pei PangDepartment of Medical Affairs, Jinshan Hospital, Fudan University, Shanghai, China.
Xiaoyong ZhouDepartment of Medical Affairs, Jinshan Hospital, Fudan University, Shanghai, China.
Yabin HuKey Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, Shanghai, China.
Yin ZhangShanghai Meteorological Service Center, Shanghai, China.
Baoshi HeKey Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, China.
Guoxiong XuResearch Center for Clinical Medicine, Jinshan Hospital, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Meteorological factors play an important role in human health. Clarifying the occurrence of dog and cat bites (DCBs) under different meteorological conditions can provide key insights into the prevention of DCBs. Therefore, the objective of the study was to explore the relationship between meteorological factors and DCBs and to provide caution to avoid the incidents that may occur by DCBs. Methods: In this study, data on meteorological factors and cases of DCBs were retrospectively collected at the Shanghai Climate Center and Jinshan Hospital of Fudan University, respectively, in 2016-2020. The distributed lag non-linear and time series model (DLNM) were used to examine the effect of meteorological elements on daily hospital visits due to DCBs. Results: A total of 26,857 DCBs were collected ranging from 1 to 39 cases per day. The relationship between ambient temperature and DCBs was J-shaped. DCBs were positively correlated with daily mean temperature (rs = 0.588, Conclusions: The extremely high temperature increased the risk of injuries caused by DCBs, particularly for females. These data may help to develop public health strategies for potentially avoiding the occurrence of DCBs.

Indexed as

Cat DiseasesDog DiseasesAnimalsCatsChinaDogsEmergency Room VisitsFemaleHumansMaleMeteorological ConceptsRetrospective StudiesDistributed lag non-linear model (DLNM)Dog and cat bites (DCBs)Emergency department visitsMeteorological factorsRelative risk

Identifiers

PMID38250715
PMCPMC10800098

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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.