Evidence map›Paper›PMID 25649629›Full record

ArticleScientific reports2015

Exploration of diarrhoea seasonality and its drivers in China.

Zhiwei Xu, Wenbiao Hu, Yewu Zhang, Xiaofeng Wang, Maigeng Zhou, Hong Su, Cunrui Huang, Shilu Tong, Qing Guo

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. The phenomenon of summer diarrhea and its waning, 1910-1930.Explorations in economic history · 2020
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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

9 authors.

Zhiwei Xu1] School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia [2] Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia.
Wenbiao Hu1] School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia [2] Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia.
Yewu ZhangCenter for Public Health Surveillance and Information Service, Chinese Center for Disease Control and Prevention, Beijing, China.
Xiaofeng WangCenter for Public Health Surveillance and Information Service, Chinese Center for Disease Control and Prevention, Beijing, China.
Maigeng ZhouNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Hong SuSchool of Public Health, Anhui Medical University, Hefei, Anhui, China.
Cunrui HuangCentre for Environment and Population Health, School of Environment, Griffith University, Brisbane, Australia.
Shilu Tong1] School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia [2] Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia.
Qing GuoCenter for Public Health Surveillance and Information Service, Chinese Center for Disease Control and Prevention, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the diarrhoea seasonality and its potential drivers as well as potential opportunities for future diarrhoea control and prevention in China. Data on weekly infectious diarrhoea cases in 31 provinces of China from 2005 to 2012, and data on demographic and geographic characteristics, as well as climatic factors, were complied. A cosinor function combined with a Poisson regression was used to calculate the three seasonal parameters of diarrhoea in different provinces. Regression tree analysis was used to identify the predictors of diarrhoea seasonality. Diarrhoea cases in China showed a bimodal distribution. Diarrhoea in children <5 years was more likely to peak in fall-winter seasons, while diarrhoea in persons > = 5 years peaked in summer. Latitude was significantly associated with spatial pattern of diarrhoea seasonality, with peak and trough times occurring earlier at high latitudes (northern areas), and later at low latitudes (southern areas). The annual amplitudes of diarrhoea in persons > = 5 years increased with latitude (r = 0.62, P<0.001). Latitude 27.8° N and 38.65° N were the latitudinal thresholds for diarrhoea seasonality in China. Regional-specific diarrhoea control and prevention strategies may be optimal for China. More attention should be paid to diarrhoea in children <5 years during fall-winter seasons.

Indexed as

SeasonsAdolescentAdultAgedAged, 80 and overAge DistributionChildChild, PreschoolChinaDiarrheaFemaleGeography, MedicalHumansInfantInfant, NewbornMale

Identifiers

PMID25649629
PMCPMC4316158

What OpenQuestion holds

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LicenceCC BY
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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.