Overview of Tuberculosis.- Epidemiology of Tuberculosis in Migrating Population.- Tuberculosis Control Strategy and Mode in Migrating Population.- Diagnosis and Treatment of Tuberculosis in Migrating Population.- Management of Tuberculosis in Migrating Population.- Tuberculosis Control in Schools.- Control of Drug Resistant Tuberculosis.- TB/HIV Infection Control.- Application of New Technology in Tuberculosis Control of Migrating Population.- Emergency Management of Public Health Event of Tuberculosis.
Weiye Yu is a Professor of Department of Tuberculosis, The Shenzhen Center for Chronic Disease Control, Shenzhen, Guangdong, China. He is the Director of Shenzhen Center for Chronic Disease Control.
Puxuan Lu is a Professor and Director of Department of Radiology, The Shenzhen Center for Chronic Disease Control, Shenzhen, Guangdong, China. He is the vice-chairman of Infectious Disease Radiology Specialty Committee of Chinese Society of Radiology, and the author of Springer books: Diagnostic Imaging of Emerging Infectious Diseases, 2015, and Pulmonary Aspergillosis, 2019.
Weiguo Tan is a Professor of Department of Tuberculosis, The Shenzhen Center for Chronic Disease Control, Shenzhen, Guangdong, China.
With the rapid development of economy and international communication, world population mobility increase significantly. As migrating population is one of vulnerable populations to infectious diseases, strengthening monitoring system and intervention approaches will be a key factor in controlling the spread of infectious diseases. This book is intended to provide valuable information on creating effective prevention and intervention strategies of tuberculosis, taking Shenzhen, one of typical immigrant cities, as an example. Followed by overview of tuberculosis, the control strategy, diagnosis and treatment of tuberculosis, drug resistant tuberculosis, and HIV-associated tuberculosis in migrating population is introduced. In addition, application of innovative technologies, for example, internet, molecular biology, and artificial intelligence in tuberculosis control is presented. It will be a useful reference for practitioners in centers for infectious disease control and prevention, hospitals, academic institutions, as well as staff in government agencies and non-government organizations with interests in tuberculosis prevention and control.