Evidence map›Paper›PMID 40303770›Full record

ArticleTransboundary and emerging diseases2023

Predicting Risk Areas of Classical Scrapie in China Based on Environmental Suitability.

Hong Li, Haoju Pan, Le Xu, Suya Li, Shiyuan Li, Si Chen, Churiga Man, Li Du, Qiaoling Chen, Jianhua Xiao and 3 more

Abstract read
In one paragraph

Article in Transboundary and emerging diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

13 authors.

Hong LiHainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, Haikou Key Lab of Animal Genetic Engineering, School of Animal Science and Technology, Hainan University, Haikou 570228, China.ORCID https://orcid.org/0009-0002-1935-8283
Haoju PanHainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, Haikou Key Lab of Animal Genetic Engineering, School of Animal Science and Technology, Hainan University, Haikou 570228, China.
Le XuHainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, Haikou Key Lab of Animal Genetic Engineering, School of Animal Science and Technology, Hainan University, Haikou 570228, China.
Suya LiHainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, Haikou Key Lab of Animal Genetic Engineering, School of Animal Science and Technology, Hainan University, Haikou 570228, China.
Shiyuan LiHainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, Haikou Key Lab of Animal Genetic Engineering, School of Animal Science and Technology, Hainan University, Haikou 570228, China.
Si ChenHainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, Haikou Key Lab of Animal Genetic Engineering, School of Animal Science and Technology, Hainan University, Haikou 570228, China.
Churiga ManHainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, Haikou Key Lab of Animal Genetic Engineering, School of Animal Science and Technology, Hainan University, Haikou 570228, China.
Li DuHainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, Haikou Key Lab of Animal Genetic Engineering, School of Animal Science and Technology, Hainan University, Haikou 570228, China.
Qiaoling ChenHainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, Haikou Key Lab of Animal Genetic Engineering, School of Animal Science and Technology, Hainan University, Haikou 570228, China.
Jianhua XiaoDepartment of Veterinary Surgery, College of Veterinary Medicine, Northeast Agricultural University, Harbin, Heilongjiang Province, China.
Hongbin WangDepartment of Veterinary Surgery, College of Veterinary Medicine, Northeast Agricultural University, Harbin, Heilongjiang Province, China.ORCID https://orcid.org/0000-0002-7896-1579
Fengyang WangHainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, Haikou Key Lab of Animal Genetic Engineering, School of Animal Science and Technology, Hainan University, Haikou 570228, China.
Hongyan GaoHainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, Haikou Key Lab of Animal Genetic Engineering, School of Animal Science and Technology, Hainan University, Haikou 570228, China.ORCID https://orcid.org/0009-0005-8563-8824

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Classical scrapie is a transmissible spongiform encephalopathy that attacks the central nervous system of sheep and goats. Since its discovery in the 18th century, the disease has caused enormous economic losses and public health impacts in continental Europe. In the late 20th century, classical scrapie began to spread to places, such as Asia and the Americas, becoming a disease of global concern. In this study, based on prion occurrence records and high-resolution environmental layers, a risk assessment of classical scrapie in China was performed using a maximum entropy model. The model achieved an area under the curve value of 0.906 (95% confidence interval, 0.0883-0.0929). Sheep distribution density, road density, goat distribution density, minimum temperature of the coldest month, port density, and precipitation of the driest quarter were identified as important factors affecting the occurrence of classical scrapie. The risk map showed that potential high-risk areas in China were mainly located in Northeast China, North China, and Northwest China. This study can provide a valuable reference for the prevention of classical scrapie in China. According to the environmental variables and risk areas of classical scrapie, implementing monitoring and early warning measures in these areas is recommended to reduce the possibility of classical scrapie occurrence and transmission.

Indexed as

Goat DiseasesScrapieAnimalsChinaEnvironmentGoatsRisk AssessmentRisk FactorsSheep

Identifiers

PMID40303770
PMCPMC12016686

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.