Evidence map›Paper›PMID 30544811›Full record

ArticleInternational journal of environmental research and public health2018

Spatiotemporal Variation and Hot Spot Detection of Visceral Leishmaniasis Disease in Kashi Prefecture, China.

Canjun Zheng, Jingying Fu, Zeng Li, Gang Lin, Dong Jiang, Xiao-Nong Zhou

Open access · goldAbstract 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 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 6% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
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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

6 authors at 4 institutions in 1 country.

Canjun ZhengChinese Center for Disease Control and Prevention (China CDC), Beijing 102206, China. zhengcj@chinacdc.cn.
Jingying FuState Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China. fujy@igsnrr.ac.cn.
Zeng LiCollege of Geoscience and Surveying Engineering, China University of Mining & Technology (Beijing), Beijing 100083, China. lizeng_cumtb@163.com.
Gang LinCollege of Geoscience and Surveying Engineering, China University of Mining & Technology (Beijing), Beijing 100083, China. ling@lreis.ac.cn.ORCID 0000-0002-0706-8193
Dong JiangState Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China. jiangd@igsnrr.ac.cn.ORCID 0000-0002-4154-5969
Xiao-Nong ZhouNational Institute for Parasitic Diseases, Chinese Center for Disease Control and Prevention (China CDC), Shanghai 200025, China. zhouxn1@chinacdc.cn.
China University of Mining and Technology · CNChinese Academy of Sciences · CNChinese Center For Disease Control and Prevention · CNNational Institute for Parasitic Diseases · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Visceral leishmaniasis (VL) remains a serious public health problem in China. To explore the temporal, spatial, and spatiotemporal characteristics of visceral leishmaniasis (VL), the spatial and spatiotemporal clustering distribution and their relationships with the surrounding geographic environmental factors were analyzed. In this study, the average nearest-neighbor distance (ANN), Ripley's K-function and Moran's I statistics were used to evaluate spatial autocorrelation in the VL distribution of the existing case patterns. Getis⁻Ord Gi* was used to identify the hot-spot and cold-spot areas based on Geographic Information System (GIS), and spatiotemporal retrospective permutation scan statistics was used to detect the spatiotemporal clusters. The results indicated that VL continues to be a serious public health problem in Kashi Prefecture, China, particularly in the north-central region of Jiashi County, which is a relatively high-risk area in which hot spots are distributed. Autumn and winter months were the outbreak season for VL cases. The detection of spatial and spatiotemporal patterns can provide epidemiologists and local governments with significant information for prevention measures and control strategies.

Indexed as

Spatio-Temporal AnalysisChinaCluster AnalysisDisease OutbreaksFemaleGeographic Information SystemsGeographyHumansLeishmaniasis, VisceralMaleSpace-Time ClusteringGIShot spotsKashi Prefecturespatiotemporal clusters

Identifiers

PMID30544811
PMCPMC6313707
OpenAlexW2905512393

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.