rachaelpung/covid_missed_infections

Pung, RORCID logo (2023). rachaelpung/covid_missed_infections. [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.7538046
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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

COVID-19, SARS-CoV-2, Coronavirus, Pandemic trajectory

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