Article

A simplified model for the analysis of COVID-19 evolution during the lockdown period in Italy

2020-06-05

Abstract excerpt

A simplified model applied to COVID-19 cases detected and officially published by the italian government [1], seems to fit quite well the time evolution of the disease in Italy during the period feb-24th - may-19th 2020. The hypothesis behind the model is based on the fact that in the lockdown period the infection cannot be transmitted due to social isolation and, more generally, due to the strong protection measu...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: d434759e-dc3f-526d-bbf2-8bd22400e675
DOI: 10.1101/2020.06.02.20119883

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A simplified model for the analysis of COVID-19 evolution during the lockdown period in ItalyDOI 10.1101/2020.06.02.20119883Read

Qualitative forecast and temporal evolution of the disease spreading using a simplified model and COVID-19 data for ItalySemantic proximity Read

Tracing DAY-ZERO and Forecasting the Fade out of the COVID-19 Outbreak in Lombardy, Italy: A Compartmental Modelling and Numerical Optimization ApproachSemantic proximity Read

Extended compartmental model for modeling COVID-19 epidemic in SloveniaSemantic proximity Read

Modelling the transmission dynamics of COVID-19 in six high burden countriesSemantic proximity Read

Stochastic simulation of successive waves of COVID-19 in the province of BarcelonaSemantic proximity Read

Epidemiological aspects of COVID-19 disease in India during nationwide lockdown phase-An empirical data-based analysis and its implications on interrupting the transmissionSemantic proximity Read

The COVID-19 Pandemic: Model-Based Evaluation of Non-Pharmaceutical Interventions and PrognosesSemantic proximity Read

A modified SEIR model to predict the COVID-19 outbreak in Spain and Italy: simulating control scenarios and multi-scale epidemicsSemantic proximity Read

Comparison of COVID-19 Patterns Between Severely-Struck Italy and the Rest of the Worlds: An Observational StudySemantic proximity Read

Bayesian inference across multiple models suggests a strong increase in lethality of COVID-19 in late 2020 in the UKSemantic proximity Read

Modelling and predicting the spatio-temporal spread of COVID-19 in ItalySemantic proximity Read

An Evaluation of Prospective COVID-19 Modeling: From Data to Science TranslationSemantic proximity Read