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Identification of tuberculosis transmission hotspots in urban China using surveillance data: a machine learning approach based on genomic and spatial analysis

Abstract Background Tuberculosis (TB) remains a critical global public health issue, particularly in rapidly urbanizing regions where population density and migration facilitate transmission. While whole-genome sequencing (WGS) has revolutionized our understanding of TB transmission dynamics, its hi...

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Autors principals: Yixiao Lu, Xiaoyu Lu, Meng Li, Honghua Lin, Liping Lu, Renjie Hou, Yating Ji, Yang Zhao, Ying Wang, Jianhui Yuan, Yanzi Xu, Yunxia Wang, Chongguang Yang
Format: Artigo
Idioma:Inglês
Publicat: BMC 2026-03-01
Col·lecció:BMC Infectious Diseases
Matèries:
Tuberculosis
Spatial epidemiology
Machine learning
Disease hotspot
Urbanization
Genomic clustering
Accés en línia:https://doi.org/10.1186/s12879-026-13018-x
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