Markovian and non-Markovian processes with active decision making strategies For addressing the COVID-19 pandemic
We study and predict the evolution of Covid-19 in six US states from the period May 1
through August 31 using a discrete compartment-based model and prescribe active …
through August 31 using a discrete compartment-based model and prescribe active …
Markovian and non-Markovian processes with active decision making strategies for addressing the COVID-19 epidemic
We study and predict the evolution of Covid-19 in six US states from the period May 1
through August 31 using a discrete compartment-based model and prescribe active …
through August 31 using a discrete compartment-based model and prescribe active …
[PDF][PDF] When to lift the lockdown? global covid-19 scenario planning and policy effects using compartmental gaussian processes
Abstract The coronavirus disease 2019 (COVID-19) outbreak has led government officials
and policy makers to rely on mathematical compartmental models for estimating the …
and policy makers to rely on mathematical compartmental models for estimating the …
The impact of public safety measures on the spread of COVID-19 in the United States assessed by causal model-based projections of the pandemic
The novel coronavirus, SARS-CoV-2, and the disease it causes, COVID-19 was declared a
pandemic on March 11, 2020 by the World Health Organization. Since then, the disease has …
pandemic on March 11, 2020 by the World Health Organization. Since then, the disease has …
When and how to lift the lockdown? global covid-19 scenario analysis and policy assessment using compartmental gaussian processes
Abstract The coronavirus disease 2019 (COVID-19) global pandemic has led many
countries to impose unprecedented lockdown measures in order to slow down the outbreak …
countries to impose unprecedented lockdown measures in order to slow down the outbreak …
[HTML][HTML] Modelling, prediction and design of COVID-19 lockdowns by stringency and duration
A Mellone, Z Gong, G Scarciotti - Scientific Reports, 2021 - nature.com
The implementation of lockdowns has been a key policy to curb the spread of COVID-19 and
to keep under control the number of infections. However, quantitatively predicting in …
to keep under control the number of infections. However, quantitatively predicting in …
[PDF][PDF] On fast multi-shot epidemic interventions for post lock-down mitigation: Implications for simple covid-19 models
The initial UK government strategy of a timed intervention as a means of combating Covid-
19 is in stark contrast to policies adopted in many other countries which have embraced …
19 is in stark contrast to policies adopted in many other countries which have embraced …
[HTML][HTML] Prediction and prevention of pandemics via graphical model inference and convex programming
Hard-to-predict bursts of COVID-19 pandemic revealed significance of statistical modeling
which would resolve spatio-temporal correlations over geographical areas, for example …
which would resolve spatio-temporal correlations over geographical areas, for example …
[HTML][HTML] Infection dynamics of COVID-19 virus under lockdown and reopening
Motivated by COVID-19, we develop and analyze a simple stochastic model for the spread
of disease in human population. We track how the number of infected and critically ill people …
of disease in human population. We track how the number of infected and critically ill people …
Pandemic simulation and forecasting of exit strategies: Convergence of machine learning and epidemiologicalmodels
[en] The COVID-19 pandemic has created a public health emergency unprecedented in this
century. The lack ofaccurate knowledge regarding the outcomes of the virus has made it …
century. The lack ofaccurate knowledge regarding the outcomes of the virus has made it …