Health Condition 1: B972- Coronavirus as the cause of diseases classified elsewhere
Conditions
Interventions
Sponsors
Eligibility
Inclusion criteria
Inclusion criteria: 1. All patients who have undergone rt-PCR test for COVID -19 prior to participation in the study. 2. Male or female participants 18 years or older 3. Pregnant women 4. Healthy Volunteers 5. Participants with comorbidities or other diseases resemblant of COVID-19 based on symptomatic profile at presentation. These conditions include, but are not limited to, ARDS, tuberculosis, viral pneumonitis, pertussis, hay fever, habit cough, and reflux. 6. Participants willing to provide a signed informed consent for voluntary participation in the study
Exclusion criteria
Exclusion criteria: 1. Impaired decision making capacity: inability to provide informed consent or to comply with study assessments (i.e. inadequate comprehension). 2. Cancer Subjects 3. Subjects at risk of severe adverse effects (such as coughing bouts due to asthma, COPD, or other conditions) through forcing a cough through participation in the study. 4. Laboratory Personnel 5. Employees Of Participating Sites 6. Prisoners
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Clinically validated dataset needed to train and test a machine learning model that can accurately predict ones likelihood of having COVID-19 with a validated sensitivity of at least 75 and a specificity of at least 75 in a local populationTimepoint: 6 Months | — |
Secondary
| Measure | Time frame |
|---|---|
| The algorithms performance will be benchmarked against established diagnostic tests, including PCR and antigen testingTimepoint: 6 Months | — |
Countries
Brazil, Colombia, India
Contacts
Christian Medical College