Pung, R. 2023. rachaelpung/covid_missed_infections. [Online]. Zenodo. Available from: https://doi.org/10.5281/zenodo.7538046
Pung, R. rachaelpung/covid_missed_infections [Internet]. Zenodo; 2023. Available from: https://doi.org/10.5281/zenodo.7538046
Pung, R (2023). rachaelpung/covid_missed_infections. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.7538046
Alternative Title
Relative role of border restrictions, case finding and contact tracing in controlling SARS-CoV-2 in the presence of undetected transmission
Description
This repository contains code and aggregate data to reconstruct the COVID-19 pandemic trajectory in Singapore. For each time period of the pandemic, we simulated the transmissions through a branching process model to compute the expected incidence over time and model outputs were fitted against the daily incidence of linked and unlinked local COVID-19 cases. Model parameters were estimated using a Bayesian MCMC framework.
Keywords
| Data capture method | Simulation |
|---|---|
| Date (Date published in a 3rd party system) | 15 January 2023 |
| Language(s) of written materials | English |
| Data Creators | Pung, R |
|---|---|
| LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology |
| Research Centre | Centre for the Mathematical Modelling of Infectious Diseases |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Date Deposited | 04 Oct 2021 09:05 |
|---|---|
| Last Modified | 04 Apr 2023 09:04 |
| Publisher | Zenodo |
