| Literature DB >> 32288414 |
Qinyi Cai1, Yiqun Mi1, Zhaowu Chu2, Yuanyi Zheng1, Fang Chen1, Yicheng Liu1.
Abstract
During the prevention of coronavirus disease 2019 (COVID-19), epidemiological data is essential for controlling the source of infection, cutting off the route of transmission, and protecting vulnerable populations. Following Law of the People's Republic of China on Prevention and Treatment of Infectious Diseases and other related regulations, medical institutions have been authorized to collect the detailed information of patients, while it is still a formidable task in megacities because of the significant patient mobility and the existing information sharing barrier. As a smart city which strengthens precise epidemic prevention and control, Shanghai has established a multi-department platform named "one-net management" on dynamic information monitoring. By sharing epidemiological data with medical institutions under a safe environment, we believe that the ability to prevent and control epidemics among medical institutions will be effectively and comprehensively improved. © Shanghai Jiao Tong University and Springer-Verlag GmbH Germany, part of Springer Nature 2020.Entities:
Keywords: big data sharing; epidemic prevention and control; medical institutions; megacities
Year: 2020 PMID: 32288414 PMCID: PMC7137855 DOI: 10.1007/s12204-020-2166-3
Source DB: PubMed Journal: J Shanghai Jiaotong Univ Sci