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Dataset Information

Impact of non-pharmacological interventions on the first wave of COVID-19 in Portugal 2020.


ABSTRACT:

Introduction

The COVID-19 pandemic caused over 7 million global deaths. Without vaccines during the first wave, governments implemented nonpharmacological interventions (NPIs) such as lockdowns, school closures, and travel restrictions. This study quantifies the impact of NPIs on COVID-19 transmission in Portugal between 24th February and 1st May.

Methods

A compartmental SEIR (Susceptible, Exposed, Infectious, Removed) model was employed to simulate the first COVID-19 wave in Portugal, using a Bayesian approach and symptom-onset incidence data. The effect of the lockdown, which began on March 22, 2020, on the effective reproductive number, R t was measured. A counterfactual scenario was created to ascertain the number of cases prevented by the NPIs d

SUBMITTER: Loyens DB 

PROVIDER: S-EPMC11868933 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature