Efficacy of a Self-test and Self-alert Mobile Applet in Detecting Susceptible Infection of COVID-19

NCT04256395 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 102456

Last updated 2020-07-07

No results posted yet for this study

Summary

The "COVID-19 infection self-test and alert system" (hereinafter referred to as "COVID-19 self-test applet") jointly developed by Beijing Tsinghua Changgung Hospital, Institute for precision medicine, artificial intelligence of Tsinghua University was launched on February 1,2020. Residents , according to their actual healthy situation, after answering questions online, the system will conduct intelligent analysis, make disease risk assessment and give healthcare and medical guidance. Based on the Internet population survey, and referring to the diagnosis and screening standards of the National Health Commission of the People's Republic of China, investigators carried out the mobile applet of Internet survey and registry study for the Internet accessible identifiable population, so as to screen the suspected population and guide the medical treatment.

Conditions

  • Susceptibility to Viral and Mycobacterial Infection

Interventions

OTHER

mobile internet survey on self-test

1\. make a questionnaire, the content of which refers to the new coronavirus diagnosis and treatment guidelines released by the National Health Commission; 2. develop the mobile applet and carry out internet propagation; 3. background data could be identified according to computer technology, de duplication and de privacy; 4. once registered, the applet can automatically remind the self-test twice a day, and encourage to adhere to 14 days; 5. automatically compare with the standards and highly suspected population could be given medical guidance and encouraged to go to the fever clinic of the designated hospital for definite diagnosis.

Sponsors & Collaborators

  • Institute for precision medicine of Tsinghua University

    collaborator UNKNOWN
  • Institute for artificial intelligent of Tsinghua University

    collaborator UNKNOWN
  • Chinese Medical Doctor Association

    collaborator OTHER
  • Institute for network behavior of Tsinghua University

    collaborator UNKNOWN
  • school of clinical medicine of Tsinghua University

    collaborator UNKNOWN
  • Beijing Tsinghua Chang Gung Hospital

    lead OTHER

Principal Investigators

  • Jiahong Dong, M.D · Beijing Tsinghua Changgeng Hospital

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-02-01
Primary Completion
2020-07-01
Completion
2020-07-01

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04256395 on ClinicalTrials.gov