Evidence map›Paper›PMID 30423966›Full record

ArticleInternational journal of environmental research and public health2018

A Spatio-Temporal Pattern and Socio-Economic Factors Analysis of Improved Sanitation in China, 2006⁻2015.

Qing Luo, Mengjie Zhang, Wei Yao, Yanfen Fu, Haichun Wei, Yong Tao, Jianjun Liu, Hongyan Yao

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Socio-Economic Factors Related to Drinking Water Source and Sanitation in Malaysia.International journal of environmental research and public health · 2020
    Article
  7. Sanitation in Rural India: Exploring the Associations between Dwelling Space and Household Latrine Ownership.International journal of environmental research and public health · 2019
    Article
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

8 authors.

Qing LuoChinese Center for Disease Control and Prevention, Beijing 102206, China. luoqing@ncrwstg.chinacdc.cn.
Mengjie ZhangNational Center for Rural Water Supply Technical Guidance, Chinese Center for Disease Control and Prevention, Beijing 102200, China. 18810285279@126.com.
Wei YaoNational Center for Rural Water Supply Technical Guidance, Chinese Center for Disease Control and Prevention, Beijing 102200, China. yaowei@ncrwstg.chinacdc.cn.
Yanfen FuNational Center for Rural Water Supply Technical Guidance, Chinese Center for Disease Control and Prevention, Beijing 102200, China. fuyf@ncrwstg.chinacdc.cn.
Haichun WeiNational Center for Rural Water Supply Technical Guidance, Chinese Center for Disease Control and Prevention, Beijing 102200, China. weihc@ncrwstg.chinacdc.cn.
Yong TaoNational Center for Rural Water Supply Technical Guidance, Chinese Center for Disease Control and Prevention, Beijing 102200, China. taoyong1958@163.com.
Jianjun LiuChinese Center for Disease Control and Prevention, Beijing 102206, China. liujj@chinacdc.cn.
Hongyan YaoChinese Center for Disease Control and Prevention, Beijing 102206, China. yaohy@chinacdc.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ensuring an adequate and safe access to sanitation is essential to prevent diseases. Using provincial spatial panel data reported in the China Health Statistical Yearbook and the China Statistical Yearbook, this paper analyzed the spatio-temporal characteristics of improved rural sanitation in 30 Chinese provinces during the period 2006⁻2015, and analyzed factors that may affect improved sanitation rates in rural China. Spatial autocorrelations of improved sanitation rates were computed via Global and Local Moran's I firstly, and then, inter-provincial disparities of improved sanitation were assessed by using the Theil index estimator; finally, the spatial panel model was employed to examine the potential socio-economic factors. Spatial autocorrelations results suggested that the provincial improved sanitation rates changes affect both the provinces themselves and the adjacent regions; Analysis of the spatial panel model revealed that factors such as GDP per capita, investment proportion ratio, centralized water supply, rural residents' expenditure were positively associated with improved sanitation rates, and illiteracy rate of people older than 15 was negatively related with improved sanitation rates. Socio-economic factors had affected the improved sanitation rates in 30 provinces in rural China. Thus, a series of policies, socio-economic measures and personal latrine literacy education should be given to improve the status of improved sanitation rates in rural China.

Indexed as

Socioeconomic FactorsSpatio-Temporal AnalysisChinaRural PopulationSanitationSpatial Analysisrural Chinasanitationspatial analysisspatial panel model

Identifiers

PMID30423966
PMCPMC6266269

What OpenQuestion holds

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Registered trials

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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.