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

Registry Study on the Efficacy of a Self-test and Self-alert Applet in Detecting Susceptible Infection of COVID-19 --a Population Based Mobile Internet Survey

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04256395
Acronym
COVID-19
Enrollment
102456
Registered
2020-02-05
Start date
2020-02-01
Completion date
2020-07-01
Last updated
2020-07-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Susceptibility to Viral and Mycobacterial Infection

Keywords

registry study, novel coronavirus(COVID-19), mobile internet survey

Brief 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.

Detailed description

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. This survey was also advocated by Chinese Medical Doctor Association. Residents , or even oversea Chinese people,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.

Interventions

OTHERmobile 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

Institute for precision medicine of Tsinghua University
CollaboratorUNKNOWN
Institute for artificial intelligent of Tsinghua University
CollaboratorUNKNOWN
Chinese Medical Doctor Association
CollaboratorOTHER
Institute for network behavior of Tsinghua University
CollaboratorUNKNOWN
school of clinical medicine of Tsinghua University
CollaboratorUNKNOWN
Beijing Tsinghua Chang Gung Hospital
Lead SponsorOTHER

Study design

Observational model
OTHER
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL

Inclusion criteria

* people who lived in or out of China at present and threatened by the infection and spread of COVID-19 * without gender and age restriction * people who have concerns of his health * voluntary completion of the self-test and evaluation.

Exclusion criteria

* people who are not internet accessible or can not use this Mobile Applet. * people who can not recognize the questionnaire.

Design outcomes

Primary

MeasureTime frameDescription
positive number diagnosed by national guideline in the evaluated population5 monthsafter the end of this study, investigators calculate and sum up the total evaluated population and positively diagnosed population, then check the ROC of this system, finally to calculate the sensitivity and accuracy of this self-test and self-alert system

Secondary

MeasureTime frameDescription
distribution map of evaluated people5 monthafter the end of this study, investigators calculate the proportion and distribution of evaluated people with normal and abnormal scores
Effect of medical guidance by designated feedback questionnaire5 monthafter the end of this study, investigators sent the feedback inform to every evaluated people and collect and analysis the response to find out whether this applet can help them in the following surveillance or medical treatment. And how it works.
mental scale of relief the mental anxiety and avoid unnecessary outpatient5 monthafter the end of this study, investigators sent the designated mental scale including anxiety, and collect the response and draw the conclusion.

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026