Objective: To analyze the spatial distribution characteristics of multidrug-resistant (MDR) tuberculosis (TB) cases in Zhejiang province in 2010-2012.
Methods: Data on MDR-TB cases in Zhejiang province were collected and linked to the digital map at the county and district levels. ArcGIS 10.0 software was used for spatial analysis.
Results: RESULTS from the spatial autocorrelation analysis showed that spatial aggregation appeared in MDR-TB distribution during 2010-2012 while local Moran's I spatial autocorrelation analysis identified several "high incidence regions" (Wuxing, Deqing, Yuhang, Gongshu, Jianggan, Xiaoshan, Yuecheng, Shaoxing Shengzhou, Changshan, Kecheng), and "low incidence region" (Haishu). Through Getis-Ord General G spatial autocorrelation analysis, 18 "positive hotspots" (Wuxing, Nanxun, Deqing, Yuhang, Shangcheng, Xiacheng, Gongshu, Jianggan, Binjiang Xiaoshan Xihu, Haining, Yuecheng, Shaoxing, Zhuji, Shengzhou, Kecheng and Suichang) and 11 "negative hotspots" (Nanhu, Haiyan, Cixi, Dinghai, Zhenhai, Jiangbei, Jiangdong, Beilun, Yinzhou, Fenghua, and Yueqing) were identified.
Conclusions: Spatial analysis on MDR-TB incidence implied the spatial aggregation in Zhejiang province. Data showed that the hotspots with high population density and human movement were under progressive expansion.
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http://dx.doi.org/10.3760/cma.j.issn.0254-6450.2016.06.018 | DOI Listing |
Sci Adv
March 2025
School of Pharmacy, Lanzhou University, Lanzhou, Gansu 730000, China.
The emergence and rapid spread of multidrug-resistant strains pose a great challenge to the quality and safety of agricultural products and the efficient use of pesticides. Previously unidentified fungicides and targets are urgently needed to combat -associated infections as alternative therapeutic options. In this study, the promising compound Z24 demonstrated efficacy against all tested plant pathogenic fungi.
View Article and Find Full Text PDFJ Immunol
February 2025
Department of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, 310058, China.
Immune memory is crucial for preventing hepatitis E virus (HEV) infection. Our study aims to investigate immunological memory characteristics and differences between vaccination and natural HEV infection, taking into account that both can induce immune memory. We recruited 60 HEV-infected patients, 58 contingency HEV-vaccinated individuals and 4 controls from an outbreak of hepatitis E in a nursing home between June and August 2023.
View Article and Find Full Text PDFBrief Bioinform
March 2025
School of Artificial Intelligence, Jilin University, 3003 Qianjin Street, Changchun 130012, Jilin Province, China.
Identifying genes causally linked to cancer from a multi-omics perspective is essential for understanding the mechanisms of cancer and improving therapeutic strategies. Traditional statistical and machine-learning methods that rely on generalized correlation approaches to identify cancer genes often produce redundant, biased predictions with limited interpretability, largely due to overlooking confounding factors, selection biases, and the nonlinear activation function in neural networks. In this study, we introduce a novel framework for identifying cancer genes across multiple omics domains, named ICGI (Integrative Causal Gene Identification), which leverages a large language model (LLM) prompted with causality contextual cues and prompts, in conjunction with data-driven causal feature selection.
View Article and Find Full Text PDFEar Nose Throat J
March 2025
The Clinical Research Center for Respiratory Diseases of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China.
Bioresour Bioprocess
March 2025
Key Laboratory of Bioorganic Synthesis of Zhejiang Province, College of Biotechnology and Bioengineering, Zhejiang University of Technology, No. 18, Chaowang Road, Hangzhou, Zhejiang Province, 310014, P. R. China.
S-adenosyl-L-methionine (SAM) is an important compound with significant pharmaceutical and nutraceutical applications. Currently, microbial fermentation is dominant in SAM production, which remains challenging due to its complex biosynthetic pathway and insufficient precursor availability. In this study, a multimodule engineering strategy based on CRISPR/Cas9 was established to improve the SAM productivity of Saccharomyces cerevisiae.
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