Data captured in the EHRs will be collected from all available departments, including
inpatient hospital, outpatient hospital, emergency room, etc. for virtually all types of
provided services in each participating site. The study period will be from January 1,
2020 to the most recent data available.

- Primary objective To determine factors that predict disease prognosis and outcomes
in COVID-19 patients, specifically: Hospitalization/Off-site monitoring, transfer to
ICU and/or need for medical mechanical ventilation (both invasive and non-
invasive), length of ICU stay, and outcome (cure/ hospital discharge, in-hospital
death)

- Secondary objectives

- To describe the demographic and clinical characteristics of COVID-19 patients

- To describe the patient management (treatment and procedures) in the target
population

- To describe the outcomes of COVID-19 (discharge, hospitalization, transfer to
ICU/ mechanical medical ventilation, in-hospital death) in relation to
patients' clinical and demographic characteristics, and treatment received

- To determine whether the factors that predict COVID-19 prognosis and outcome
also apply to other types of pneumonia.

- Exploratory objectives One of the goals of this study is to configure the Big Data
system to unravel any hidden variable/s (and their associations) that may offer
novel clinical insights into COVID-19 management.