Evidence map›Paper›PMID 31234446›Full record

ArticleInternational journal of environmental research and public health2019

Identifying and Predicting the Geographical Distribution Patterns of

Yingnan Niu, Rendong Li, Juan Qiu, Xingjian Xu, Duan Huang, Qihui Shao, Ying Cui

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. 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
–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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. The Current Distribution ofTropical medicine and infectious disease · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Identifying the Determinants of Distribution ofPathogens (Basel, Switzerland) · 2022
    Article
  9. Article
  10. Review
  11. Comprehensive Risk Assessment of Schistosomiasis Epidemic Based on Precise Identification ofInternational journal of environmental research and public health · 2021
    Article
  12. 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

7 authors.

Yingnan NiuKey Laboratory of Monitoring and Estimate for Environment and Disaster of Hubei Province, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China. niuyingnan16@mails.ucas.ac.cn.
Rendong LiKey Laboratory of Monitoring and Estimate for Environment and Disaster of Hubei Province, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China. lrd@asch.whigg.ac.cn.
Juan QiuKey Laboratory of Monitoring and Estimate for Environment and Disaster of Hubei Province, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China. qiujuan@asch.whigg.ac.cn.
Xingjian XuHubei Provincial Center for Disease Control and Prevention, Wuhan 430079, China. xuxj8412@foxmail.com.
Duan HuangKey Laboratory of Monitoring and Estimate for Environment and Disaster of Hubei Province, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China. huangduan@asch.whigg.ac.cn.
Qihui ShaoKey Laboratory of Monitoring and Estimate for Environment and Disaster of Hubei Province, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China. shaoqihui18@mails.ucas.ac.cn.
Ying CuiKey Laboratory of Monitoring and Estimate for Environment and Disaster of Hubei Province, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China. cuiying17@mails.ucas.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Schistosomiasis is a snail-borne parasitic disease endemic to the tropics and subtropics, whose distribution depends on snail prevalence as determined by climatic and environmental factors. Here, dynamic spatial and temporal patterns of Oncomelania hupensis distributions were quantified using general statistics, global Moran's I, and standard deviation ellipses, with Maxent modeling used to predict the distribution of habitat areas suitable for this snail in Gong'an County, a severely affected region of Jianghan Plain, China, based on annual average temperature, humidity of the climate, soil type, normalized difference vegetation index, land use, ditch density, land surface temperature, and digital elevation model variables; each variable's contribution was tested using the jackknife method. Several key results emerged. First, coverage area of O

Indexed as

Animal DistributionEcosystemAnimalsChinaDisease VectorsSchistosomiasisSnailsSpatial AnalysisMaxentOncomelania hupensisspatiotemporal changessuitable habitats

Identifiers

PMID31234446
PMCPMC6616429

What OpenQuestion holds

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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.