ArticleJournal of thoracic disease2026
Chikungunya fever in Guangdong, China, 2025: rapid spread and challenges.
Zhijie Lin, Ruibin Liu, Xuanfeng Li, Zhiqi Zeng, Xiaoyan Deng, Zifeng Yang, Yihui Huang, Di Wang, Chitin Hon
Abstract readLetter
In one paragraphArticle in Journal of thoracic disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
9 authors.
Zhijie LinRespiratory Disease AI Laboratory in Epidemic Intelligence and Medical Big Data Applications, Faculty of Innovation Engineering, Macau University of Science and Technology, Macau SAR, China.ORCID https://orcid.org/0009-0008-0642-6279 Ruibin LiuRespiratory Disease AI Laboratory in Epidemic Intelligence and Medical Big Data Applications, Faculty of Innovation Engineering, Macau University of Science and Technology, Macau SAR, China.ORCID https://orcid.org/0000-0002-8252-5585 Xuanfeng LiRespiratory Disease AI Laboratory in Epidemic Intelligence and Medical Big Data Applications, Faculty of Innovation Engineering, Macau University of Science and Technology, Macau SAR, China.ORCID https://orcid.org/0009-0002-6022-1000 Zhiqi ZengRespiratory Disease AI Laboratory in Epidemic Intelligence and Medical Big Data Applications, Faculty of Innovation Engineering, Macau University of Science and Technology, Macau SAR, China.
Xiaoyan DengKingMed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China.
Zifeng YangChina-Portugal Artificial Intelligence and Public Health Technologies Joint Laboratory, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Yihui HuangInstitute of Infectious Diseases, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China.
Di WangRespiratory Disease AI Laboratory in Epidemic Intelligence and Medical Big Data Applications, Faculty of Innovation Engineering, Macau University of Science and Technology, Macau SAR, China.
Chitin HonRespiratory Disease AI Laboratory in Epidemic Intelligence and Medical Big Data Applications, Faculty of Innovation Engineering, Macau University of Science and Technology, Macau SAR, China.ORCID https://orcid.org/0000-0002-5658-3503 Funding
No grant is acknowledged in the PubMed record.
6 · The paper itselfAbstract
PubMed holds no abstract for this paper.
Indexed as
Chikungunya fever (CHIKF)early warningGuangdonghybrid modeloutbreak
Identifiers
PMID42306655
PMCPMC13266866
What OpenQuestion holds
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