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Epidemiology of COVID-19 Inpatients

✔ OPEN SCIENCE

This page contains code, details, and data (coming soon) of a multicentric research project on the epidemiology of COVID-19 inpatients. Patient registry was retrieved from medical records and hospital information systems retrospectively, followed by a follow-up call to identify post-COVID symptoms and complications.

Project Details

Data Sources:

• Phase I Registry (2019-2020): Emam Hossein Hospital, Taleghani Hospital, Shohada-E-Tajrish Hospital
• Phase II (2021-2022): Emam Hossein Hospital, Loghman Hospital

Research Team:

• Principal Investigator: Dr. Mohamad Amin Pourhoseingholi, PhD (Research Institute for Gastroenterology and Liver Diseases; [email protected])
• Coordinator: Dr. Seyed Amir Ahmad Safavi-Naini, MD (Research Institute for Gastroenterology and Liver Diseases; [email protected])

Ethics:

• Ethical ID: IR.SBMU.RIGLD.REC.1399.058

Research Center:

• Basic and Molecular Epidemiology Research Center

Published Articles:

1. Epidemiology of COVID-19 in Tehran, Iran: A Cohort Study of Clinical Profile, Risk Factors, and Outcomes

2. Generalizable machine learning approach for COVID-19 mortality risk prediction using on-admission clinical and laboratory features

   • Preprint version: COVID-19 Mortality Risk Prediction using Clinical and Laboratory Examination: Machine Learning Approach for Implementation
   • GitHub Repo: SiavashShirzad/CovidAI

3. Serial and Admittance Laboratory Profile of COVID-19: Dynamic Trend of Poor Prognostic Biomarkers

   • GitHub Repo: Sdamirsa/COVID19_SerialLabratory

4. Effect of interferon-α on COVID-19 in-hospital mortality: a large-scale propensity score-matched study

5. Atorvastatin Effect on COVID-19 Outcomes: A Propensity Score Matched Study on Hospitalized Patients

6. Assessing the effect of remdesivir alone and in combination with corticosteroids on time to death in COVID-19: A propensity score-matched analysis

7. Large Language Models versus Classical Machine Learning: Performance in COVID-19 Mortality Prediction Using High-dimensional Tabular Data (under review)

   • GitHub Repo: mohammad-gh009/Large-Language-Models-vs-Classical-Machine-learning