Evidence map›Paper›PMID 36141780›Full record

SynthesisInternational journal of environmental research and public health2022

Meteorological Factors Affecting Infectious Diarrhea in Different Climate Zones of China.

Mengya Yang, Can Chen, Xiaobao Zhang, Yuxia Du, Daixi Jiang, Danying Yan, Xiaoxiao Liu, Cheng Ding, Lei Lan, Hao Lei and 1 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 19 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

11 authors at 2 institutions in 1 country.

Mengya YangSchool of Public Health, School of Medicine, Zhejiang University, Hangzhou 310058, China.
Can ChenState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital College of Medicine, Zhejiang University, Hangzhou 310003, China.
Xiaobao ZhangState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital College of Medicine, Zhejiang University, Hangzhou 310003, China.
Yuxia DuState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital College of Medicine, Zhejiang University, Hangzhou 310003, China.
Daixi JiangState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital College of Medicine, Zhejiang University, Hangzhou 310003, China.
Danying YanState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital College of Medicine, Zhejiang University, Hangzhou 310003, China.
Xiaoxiao LiuState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital College of Medicine, Zhejiang University, Hangzhou 310003, China.
Cheng DingState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital College of Medicine, Zhejiang University, Hangzhou 310003, China.
Lei LanState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital College of Medicine, Zhejiang University, Hangzhou 310003, China.
Hao LeiSchool of Public Health, School of Medicine, Zhejiang University, Hangzhou 310058, China.ORCID 0000-0002-1850-7040
Shigui YangSchool of Public Health, School of Medicine, Zhejiang University, Hangzhou 310058, China.
State Key Laboratory of Diagnosis and Treatment of Infectious DiseasesZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Meteorological factors and the increase in extreme weather events are closely related to the incidence rate of infectious diarrhea. However, few studies have explored whether the impact of the same meteorological factors on the incidence rate of infectious diarrhea in different climate regions has changed and quantified these changes. In this study, the time series fixed-effect Poisson regression model guided by climate was used to quantify the relationships between the incidence rate of various types of infectious diarrhea and meteorological factors in different climate regions of China from 2004 to 2018, with a lag of 0-2 months. In addition, six social factors, including per capita Gross Domestic Product (GDP), population density, number of doctors per 1000 people, proportion of urbanized population, proportion of children aged 0-14 years old, and proportion of elderly over 65 years old, were included in the model for confounding control. Additionally, the intercept of each province in each model was analyzed by a meta-analysis. Four climate regions were considered in this study: tropical monsoon areas, subtropical monsoon areas, temperate areas and alpine plateau areas. The results indicate that the influence of meteorological factors and extreme weather in different climate regions on diverse infectious diarrhea types is distinct. In general, temperature was positively correlated with all infectious diarrhea cases (0.2 ≤ r ≤ 0.6,

Indexed as

DysenteryMeteorological ConceptsAdolescentAgedChildChild, PreschoolChinaClimateDiarrheaHumansIncidenceInfantInfant, NewbornWeatherfixed-effect modelincidenceinfectious diarrheameteorological factorsPoisson regression

Identifiers

PMID36141780
PMCPMC9517640
OpenAlexW4296003028

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.