Welcome to Epidy's COVID-19 Risk Factors platform

Country where the study was conducted

Study type

Observational study

Data Source

Size of study popopulation

222

Study population description

Kaggle dataset of COVID-19 patients 13th January to 28th February, 2020

Study population characteristics

A Machine Learning Model Reveals Older Age and Delayed Hospitalization as Predictors of Mortality in Patients with COVID-19

Follow up type

Follow up

Outcome related to coronavirus

COVID-19 (death)

Number of cases

Case definition

Associated factor category

Patient characteristics

Associated factor name

Gender

Associated factor description

Risk reference category

Female

Number of cases in the reference category

Total number of patients in the reference category

Risk comparison category

Male

Number of cases in the comparison category

Total number of patients in the comparison category

Type of measure of association

Odds ratio

Risk value (95% confidence interval)

2.380 (1.210-4.710)

Significant preventive factor

Significant risk factor

Yes

Is the risk adjusted?

Risk adjustment description

Comment

Article Quality

QC done?

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