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Case-Initiated COVID-19 Contact Tracing Using Anonymous Notifications.
Cheng, Weibin; Hao, Chun.
  • Cheng W; Institute for Healthcare Artificial Intelligence Application, Guangdong Second Provincial General Hospital, Guangzhou, China.
  • Hao C; Department of Medical Statistics and Sun Yat-sen Global Health Institute, School of Public Health & Institute of State Governance, Sun Yat-sen University, Guangzhou, China.
JMIR Mhealth Uhealth ; 8(6): e20369, 2020 06 22.
Article in English | MEDLINE | ID: covidwho-610658
ABSTRACT
We discuss the concept of a participatory digital contact notification approach to assist tracing of contacts who are exposed to confirmed cases of coronavirus disease (COVID-19); the approach is simple and affordable for countries with limited access to health care resources and advanced technology. The proposed tool serves as a supplemental contract tracing approach to counteract the shortage of health care staff while providing privacy protection for both cases and contacts. This tool can be deployed on the internet or as a plugin for a smartphone app. Confirmed cases with COVID-19 can use this tool to provide contact information (either email addresses or mobile phone numbers) of close contacts. The system will then automatically send a message to the contacts informing them of their contact status, what this status means, the actions that should follow (eg, self-quarantine, respiratory hygiene/cough etiquette), and advice for receiving early care if they develop symptoms. The name of the sender of the notification message by email or mobile phone can be anonymous or not. The message received by the contact contains no disease information but contains a security code for the contact to log on the platform to retrieve the information.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Contact Tracing / Coronavirus Infections / Pandemics Type of study: Diagnostic study / Observational study Limits: Humans Language: English Journal: JMIR Mhealth Uhealth Year: 2020 Document Type: Article Affiliation country: 20369

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Contact Tracing / Coronavirus Infections / Pandemics Type of study: Diagnostic study / Observational study Limits: Humans Language: English Journal: JMIR Mhealth Uhealth Year: 2020 Document Type: Article Affiliation country: 20369