Evidence map›Paper›PMID 28587151›Full record

ArticleInternational journal of environmental research and public health2017

Geographical Environment Factors and Risk Assessment of Tick-Borne Encephalitis in Hulunbuir, Northeastern China.

Yifan Li, Juanle Wang, Mengxu Gao, Liqun Fang, Changhua Liu, Xin Lyu, Yongqing Bai, Qiang Zhao, Hairong Li, Hongjie Yu and 4 more

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

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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

14 authors at 6 institutions in 1 country.

Yifan LiState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China. lyf@qdio.ac.cn.
Juanle WangState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China. wangjl@igsnrr.ac.cn.
Mengxu GaoState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China. gaomx@igsnrr.ac.cn.
Liqun FangState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China. fang_lq@163.com.
Changhua LiuInstitute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China. lch@qdio.ac.cn.
Xin LyuState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China. lx@lreis.ac.cn.
Yongqing BaiState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China. baiyq@lreis.ac.cn.
Qiang ZhaoState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China. zhaoq@lreis.ac.cn.
Hairong LiState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China. lihr@igsnrr.ac.cn.
Hongjie YuSchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai 200032, China. cfetpyhj@vip.sina.com.
Wuchun CaoState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China. caowc@bmi.ac.cn.
Liqiang FengInstitute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China. fenglq@qdio.ac.cn.
Yanjun WangInstitute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China. yjwang@qdio.ac.cn.
Bin ZhangInstitute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China. zhangbin@qdio.ac.cn.
Chinese Academy of Sciences · CNInstitute of Geographic Sciences and Natural Resources Research · CNInstitute of Microbiology · CNFudan University · CNJiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application · CNNational Center for Science and Technology Evaluation · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tick-borne encephalitis (TBE) is one of natural foci diseases transmitted by ticks. Its distribution and transmission are closely related to geographic and environmental factors. Identification of environmental determinates of TBE is of great importance to understanding the general distribution of existing and potential TBE natural foci. Hulunbuir, one of the most severe endemic areas of the disease, is selected as the study area. Statistical analysis, global and local spatial autocorrelation analysis, and regression methods were applied to detect the spatiotemporal characteristics, compare the impact degree of associated factors, and model the risk distribution using the heterogeneity. The statistical analysis of gridded geographic and environmental factors and TBE incidence show that the TBE patients mainly occurred during spring and summer and that there is a significant positive spatial autocorrelation between the distribution of TBE cases and environmental characteristics. The impact degree of these factors on TBE risks has the following descending order: temperature, relative humidity, vegetation coverage, precipitation and topography. A high-risk area with a triangle shape was determined in the central part of Hulunbuir; the low-risk area is located in the two belts next to the outside edge of the central triangle. The TBE risk distribution revealed that the impact of the geographic factors changed depending on the heterogeneity.

Indexed as

ChinaEncephalitis, Tick-BorneEncephalitis Viruses, Tick-BorneGeographyHumansHumidityIncidenceRisk AssessmentSeasonsSpatial AnalysisTemperaturegeographic and environmental factorsgeographic weighted regressionspatial autocorrelationtick-borne encephalitis

Identifiers

PMID28587151
PMCPMC5486255
OpenAlexW2619831601

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.