Smart Cloud for COVID-19 Prevention and Control

Summary

In response to the continuous outbreaks of COVID-19, AHS urgently needs to have an effective way to prevent and control future waves of the COVID-19 epidemic until we have a vaccine or completely contain the virus. The objective of this project is to design and develop a Smart (augmented-intelligent) Cloud solution to address this urgent need. The Smart Cloud fuses COVID-19 information and data from various sources, performs deep data analysis and learning, and provide predictions and recommendations for COVID-19 outbreaks using machine learning techniques.

Eligibility

Currently recruiting participants: No

Eligible ages: 18 to 100

Accepts healthy participants: Yes

Inclusion criteria:

1) 18 years of age or older.
2) Patients who have done COVID-19 test (positive or not)
3) People who has contact history with COVID-19 patients

Participate

Sorry, this study is not currently accepting new participants.
Browse other research studies.

Additional information

Contact information

There is no direct recruitment. Data is from AHS database.

Principal investigator:

Mea Wang

Clinical trial:

No

REB-ID:

REB20-1154