5 Papers
Min Luo is an academic researcher from Centers for Disease Control and Prevention. The author has contributed to research in topics: Outbreak & Viral load. The author has an hindex of 2, co-authored 2 publications. Previous affiliations of Min Luo include Peking Union Medical College.
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Papers
Viral infection and Transmission in a large well-traced outbreak caused by the Delta SARS-CoV-2 variant
Baisheng Li,Baisheng Li,Aiping Deng,Aiping Deng,Kuibiao Li,Yao Hu,Yao Hu,Zhencui Li,Zhencui Li,Qianling Xiong,Qianling Xiong,Zhe Liu,Zhe Liu,Qianfang Guo,Qianfang Guo,Lirong Zou,Lirong Zou,Huan Zhang,Huan Zhang,Meng Zhang,Meng Zhang,Fangzhu Ouyang,Fangzhu Ouyang,Juan Su,Juan Su,Wenzhe Su,Jing Xu,Jing Xu,Huifang Lin,Huifang Lin,Jing Sun,Jing Sun,Jinju Peng,Jinju Peng,Huimin Jiang,Huimin Jiang,Pingping Zhou,Pingping Zhou,Ting Hu,Ting Hu,Min Luo,Min Luo,Yingtao Zhang,Yingtao Zhang,Huanying Zheng,Huanying Zheng,Jianpeng Xiao,Jianpeng Xiao,Tao Liu,Tao Liu,Rongfei Che,Rongfei Che,Hanri Zeng,Hanri Zeng,Zhonghua Zheng,Zhonghua Zheng,Yushi Huang,Yushi Huang,Jianxiang Yu,Jianxiang Yu,Lina Yi,Lina Yi,Jie Wu,Jie Wu,Jing-diao Chen,Jing-diao Chen,Haojie Zhong,Haojie Zhong,Xiaoling Deng,Xiaoling Deng,Min Kang,Min Kang,Oliver G. Pybus,Matthew Hall,Katrina A. Lythgoe,Yan Li,Yan Li,Jun Yuan,Jianfeng He,Jianfeng He,Jing Lu,Jing Lu +81 more
TL;DR: Wang et al. as discussed by the authors reported the first local transmission of the Delta SARS-CoV-2 variant in mainland China and all 167 infections could be traced back to the first index case.
A review of valve health diagnosis and assessment: Insights for intelligence maintenance of natural gas pipeline valves in China
Shijian Zhang,Min Luo,Hao Qian,Lisheng Liu,Hong Yang,Yibing Zhang,Xubing Liu,Zongbao Xie,Lingjin Yang,Wen Jie Zhang +9 more
TL;DR: This study reviews valve health diagnosis and assessment techniques for natural gas pipeline valves in China, exploring conventional maintenance methods, performance testing parameters, and data-driven fault diagnostics to advance intelligent maintenance and predictive decision-making.
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Development and Validation of a Recurrence-Free Survival Prediction Model for Locally Advanced Esophageal Squamous Cell Carcinoma with Neoadjuvant Chemoradiotherapy
Yehan Zhou,Wenwu He,P. Guo,Chengmin Zhou,Min Luo,Yang Liu,Hong Yang,Sheng Qin,Xue-Feng Leng,Zongyao Huang,Yang Liu +10 more
TL;DR: Clinical prediction models incorporating LN-TRG factors have high predictive efficacy, can help identify patients at high risk of recurrence after neoadjuvant therapy, and can be used as a supplement to the AJCC/TNM staging system while offering a scientific rationale for early postoperative intervention.
5
Effectiveness of Inactivated COVID-19 Vaccines Against COVID-19 Pneumonia and Severe Illness Caused by the B.1.617.2 (Delta) Variant: Evidence from an Outbreak in Guangdong, China
Min Kang,Yao Yi,Yan Li,Limei Sun,Aiping Deng,Ting Hu,Jiayi Zhang,Jun Liu,Mingji Cheng,Shen Xie,Min Luo,Jing Jiang,Yawen Jiang,Shixing Tang,Jianfeng He +14 more
TL;DR: Full vaccination with inactivated vaccines is effective against pneumonia, severe, and critical illness caused by the B.1.617.2 variant, leaving an important gap in the evidence base of inactivated COVID-19 vaccines for use by immunization programs.
Effectiveness of Inactivated COVID-19 Vaccines Against Illness Caused by the B.1.617.2 (Delta) Variant During an Outbreak in Guangdong, China
Min Gu Kang,Yao Yi,Yuan Li,Limei Sun,Aiping Deng,Ting Hu,Jiayi Zhang,Jun Li,Mingji Cheng,Shen Xie,Min Luo,Qing Jiang,Yawen Jiang,Shixing Tang,Jianfeng He +14 more
TL;DR: The authors of this cohort study analyzed vaccination, surveillance, screening, tracing, and quarantine data to determine the effectiveness of inactivated COVID-19 vaccines against infections, pneumonia, and severe or critical illness caused by the Delta variant.