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 gender: Male, Female, Transgender, Other

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.
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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