Evidence map›Paper›PMID 25386954›Full record

ArticleInternational journal of environmental research and public health2014

Spatial analysis of the distribution, risk factors and access to medical resources of patients with hepatitis B in Shenzhen, China.

Yuliang Xi, Fu Ren, Shi Liang, Jinghua Zhang, De-Nan Lin

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

5 authors.

Yuliang XiSchool of Resources and Environmental Science, Wuhan University, Wuhan 430079, China. yuliangwhu@163.com.
Fu RenSchool of Resources and Environmental Science, Wuhan University, Wuhan 430079, China. renfu@whu.edu.cn.
Shi LiangShenzhen Center for Health Information, Renmin Road North 2210, Luohu District, Shenzhen 518001, China. carlsl@126.com.
Jinghua ZhangSchool of Resources and Environmental Science, Wuhan University, Wuhan 430079, China. zhangjinghuawh@163.com.
De-Nan LinShenzhen Center for Health Information, Renmin Road North 2210, Luohu District, Shenzhen 518001, China. ldn308@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Considering the high morbidity of hepatitis B in China, many epidemiological studies based on classic medical statistical analysis have been started but lack spatial information. However, spatial information such as the spatial distribution, autocorrelation and risk factors of the disease is of great help in studying patients with hepatitis B. This study examined 2851 cases of hepatitis B that were hospitalized in Shenzhen in 2010 and studied the spatial distribution, risk factors and spatial access to health services using spatial interpolation, Pearson correlation analysis and the improved two-step floating catchment area method. The results showed that the spatial distribution of hepatitis B, along with risk factors as well as spatial access to the regional medical resources, was uneven and mainly concentrated in the south and southwest of Shenzhen in 2010. In addition, the distribution characteristics of hepatitis B revealed a positive correlation between four types of service establishments and risk factors for the disease. The Pearson correlation coefficients are 0.566, 0.515, 0.626, 0.538 corresponding to bath centres, beauty salons, massage parlours and pedicure parlours (p < 0.05). Additionally, the allocation of medical resources for hepatitis B is adequate, as most patients could be treated at nearby hospitals.

Indexed as

Catchment Area, HealthHealth Services AccessibilityChinaFemaleGeographyHepatitis BHumansMaleRisk FactorsSpatial Analysis

Identifiers

PMID25386954
PMCPMC4245626

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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.