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Mobile health technology combats COVID-19 in China.
Wu, Jieyu; Xie, Xiaowei; Yang, Le; Xu, Xingyan; Cai, Yingying; Wang, Tinggui; Xie, Xiaoxu.
  • Wu J; School of Public Health, Fujian Medical University, No. 1 Xuefu North Road, Fuzhou 350122, China.
  • Xie X; The First Clinical Medical School, Shanxi Medical University, No. 98 Daxue Street, Taiyuan 030619, China.
  • Yang L; School of Public Health, Fujian Medical University, No. 1 Xuefu North Road, Fuzhou 350122, China.
  • Xu X; School of Public Health, Fujian Medical University, No. 1 Xuefu North Road, Fuzhou 350122, China.
  • Cai Y; School of Public Health, Fujian Medical University, No. 1 Xuefu North Road, Fuzhou 350122, China.
  • Wang T; School of Public Health, Fujian Medical University, No. 1 Xuefu North Road, Fuzhou 350122, China.
  • Xie X; School of Public Health, Fujian Medical University, No. 1 Xuefu North Road, Fuzhou 350122, China. Electronic address: xiexiaoxu@aliyun.com.
J Infect ; 82(1): 159-198, 2021 01.
Article in English | MEDLINE | ID: covidwho-676870
ABSTRACT
China empowers mobile health technologies to fight against COVID-19 pandemic. The success of mobile health here may be a useful reference for other parts of the world. We explore China's application of mobile health technologies to replenishing traditional public-health and social approaches for mitigating and suppressing COVID-19, and found that Internet hospitals alleviate the unavailability, inaccessibility, and inequity of health services during the outbreak; the fact-check and information-release platforms reduce the spread of misinformation; and the infection risk scoring systems facilitate restoring the order of production and life.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Telemedicine / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: J Infect Year: 2021 Document Type: Article Affiliation country: J.jinf.2020.07.024

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Telemedicine / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: J Infect Year: 2021 Document Type: Article Affiliation country: J.jinf.2020.07.024