Evidence map›Paper›PMID 42769431›Full record

ArticleFrontiers in microbiology2026

MaxEnt-based suitable areas analysis of global lumpy skin disease under current and future climate scenarios.

Yanqun Wei, Zhenhuan He, Wenjing Li, Jingshan Bi, Zhongyi Zhao, Jialiang Xin, Rong Yang, Zhengji Wei, Mengjia Yang, Jing Huang and 6 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Yanqun Wei *Guangxi Center for Animal Disease Control and Prevention, Nanning, China.
Zhenhuan He *Guangxi Agricultural and Animal Husbandry Engineering School, Liuzhou, China.
Wenjing LiCollege of Animal Science and Technology, Guangxi University, Nanning, China.
Jingshan BiGuangxi Center for Animal Disease Control and Prevention, Nanning, China.
Zhongyi ZhaoGuangxi Center for Animal Disease Control and Prevention, Nanning, China.
Jialiang XinCollege of Veterinary Medicine, Sichuan Agricultural University, Chengdu, China.
Rong YangGuangxi Center for Animal Disease Control and Prevention, Nanning, China.
Zhengji WeiGuangxi Center for Animal Disease Control and Prevention, Nanning, China.
Mengjia YangCollege of Animal Science and Technology, Guangxi University, Nanning, China.
Jing HuangCollege of Animal Science and Technology, Guangxi University, Nanning, China.
Jiangtao ZhangCollege of Animal Science and Technology, Guangxi University, Nanning, China.
Haotian XueCollege of Animal Science and Technology, Guangxi University, Nanning, China.
Zhou ChenBeihai Center for Animal Disease Control and Prevention, Beihai, China.
Jiafang XuBeihai Center for Animal Disease Control and Prevention, Beihai, China.
Jiafeng DingCollege of Animal Science and Technology, Guangxi University, Nanning, China.
Min ZhengGuangxi Center for Animal Disease Control and Prevention, Nanning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Lumpy skin disease is an acute and subacute systemic infectious disease of cattle and buffalo. Methods: This study aimed to map the environmental suitable areas of lumpy skin disease under current and future climate scenarios using the MaxEnt model. Environmental variables were screened to construct distribution models for lumpy skin disease and its vector Results: Key environmental variables influencing the environmental suitability of lumpy skin disease include cattle and buffalo distribution densities, the maximum temperature of the warmest month, and annual precipitation. Model performance was evaluated using AUC, TSS, and test omission rate, indicating good predictive ability. Under the future climate scenarios, climatically suitable areas for lumpy skin disease expanded, primarily in mid- to high-latitude regions between 40º and 70º, including the south-central U.S., northeastern Argentina, southeastern Brazil, Europe (excluding northern Europe, such as Iceland, Norway, and Sweden), the Mediterranean coastal areas of North Africa (such as Tunisia, northern Algeria, and Morocco), Turkey, Tajikistan, northern India, eastern China, South Korea, central and southern Japan, northern Indochina, and eastern Australia. Discussion: These results represent environmental suitability rather than actual disease risk, which also depends on factors such as animal movement, trade, vaccination, and surveillance. These findings offer valuable insights for the prevention and control of lumpy skin disease, mitigating both the suitable areas of disease occurrence and associated economic losses.

Indexed as

environmental variablefuture climate scenariolumpy skin diseasemaximum entropy modelStomoxys calcitrans

Identifiers

PMID42769431
PMCPMC13590795

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