# A Systems Approach to Predict the Outcome of SARS-CoV-2 in the Population of a City; COVID-19

> **NCT04351503** · — · COMPLETED · sponsor: **University Hospital, Basel, Switzerland** · enrollment: 126586 (actual)

## Conditions studied

- SARS Coronavirus (SARS-CoV-2) Infection

## Interventions

- **OTHER:** Study A
- **OTHER:** Study B
- **OTHER:** Study C
- **OTHER:** Study D

## Key facts

- **NCT ID:** NCT04351503
- **Lead sponsor:** University Hospital, Basel, Switzerland
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** COMPLETED
- **Start date:** 2020-04-09
- **Primary completion:** 2022-07-31
- **Final completion:** 2022-07-31
- **Target enrollment:** 126586 (ACTUAL)
- **Last updated:** 2024-05-09

## Collaborators

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- [object Object]
- [object Object]

## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT04351503

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT04351503, "A Systems Approach to Predict the Outcome of SARS-CoV-2 in the Population of a City; COVID-19". Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/clinical/NCT04351503. Licensed CC0.

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