Evidence map›Paper›PMID 36901332›Full record

ArticleInternational journal of environmental research and public health2023

Comprehensive Dynamic Influence of Multiple Meteorological Factors on the Detection Rate of Bacterial Foodborne Diseases under Spatio-Temporal Heterogeneity.

Xiaojuan Qi, Jingxian Guo, Shenjun Yao, Ting Liu, Hao Hou, Huan Ren

Open access · goldFull text read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 18% of its field
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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Xiaojuan QiDepartment of Nutrition and Food Safety, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China.
Jingxian GuoZhejiang Key Laboratory of Urban Wetlands and Regional Change, Hangzhou Normal University, Hangzhou 311121, China.
Shenjun YaoKey Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai 200241, China.
Ting LiuZhejiang Key Laboratory of Urban Wetlands and Regional Change, Hangzhou Normal University, Hangzhou 311121, China.ORCID 0000-0003-0389-2553
Hao HouZhejiang Key Laboratory of Urban Wetlands and Regional Change, Hangzhou Normal University, Hangzhou 311121, China.ORCID 0000-0003-2444-133X
Huan RenZhejiang Key Laboratory of Urban Wetlands and Regional Change, Hangzhou Normal University, Hangzhou 311121, China.ORCID 0000-0001-5114-6366
Hangzhou Normal University · CNEast China Normal University · CNZhejiang Center for Disease Control and Prevention · CN

Funding

Hangzhou Science and Technology Commission 20201203B141National Natural Science Foundation of China 41101371
6 · The paper itself

Abstract

Foodborne diseases are a critical public health problem worldwide and significantly impact human health, economic losses, and social dynamics. Understanding the dynamic relationship between the detection rate of bacterial foodborne diseases and a variety of meteorological factors is crucial for predicting outbreaks of bacterial foodborne diseases. This study analyzed the spatio-temporal patterns of vibriosis in Zhejiang Province from 2014 to 2018 at regional and weekly scales, investigating the dynamic effects of various meteorological factors. Vibriosis had a significant temporal and spatial pattern of aggregation, and a high incidence period occurred in the summer seasons from June to August. The detection rate of

Indexed as

Bacterial InfectionsFoodborne DiseasesVibrio InfectionsChinaClimateHumansIncidenceMeteorological ConceptsSpatio-Temporal Analysisbacterial foodborne diseasesmeteorological factorsprincipal component analysisspatio-temporal scanning statisticsvector autoregressive model

Identifiers

PMID36901332
PMCPMC10001511
OpenAlexW4322627987

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read12
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.