Feedback control-based mitigation strategies for COVID-19 are threatened by the time span occurring before an infection is detected in official data. Such a delay also depends on behavioral, technological and procedural issues other than the incubation period. We provide a machine learning...

We derive a model in which firms operate in an epidemic environment and internalize infections among their employees in the workplace. The model is calibrated to fit the properties of the Covid-19 epidemic. We show that firms have incentives to fight against infections and can do so very...

In this paper I use administrative data to estimate the number of deaths, the number of infections, and mortality rates from Covid-19 in Lombardia, the hot spot of the disease in Italy and Europe. The information is relevant for the policy maker, to make decisions, and for the public, to adopt...

We embed a lockdown choice in a simplified epidemiological model and derive formulas for the optimal lockdown intensity and duration. The optimal policy re- ects the rate of time preference, epidemiological factors, the hazard rate of vaccine discovery, learning effects in the health care...

We contrast the canonical epidemiological SIR model due to Kermack and McKendrick (1927) with more tractable alternatives that offer similar degrees of "realism" and exibility. We provide results connecting the different models which can be exploited for calibration purposes. We use the expected...

Should the intellectual property rights on the first Covid-19 vaccines be temporarily lifted in applying the Trade-Related Aspect of Intellectual Property (TRIPS) flexibility? Is it right to grant the first generation of Covid-19 vaccines a special treatment from an IPR perspective? On what...

We propose a regional inequality-based mechanism to explain the heterogeneity in the spread of Covid-19 and test it using data from India. We argue that an area characterized by coreperiphery economic structure creates regional inequality in which the periphery remains dependent on the core for...

We consider a model of network interactions where the outcome of a unit depends on the outcomes of the connected units. We determine the key network link, i.e., the network link whose removal results in the largest reduction in the aggregate outcomes, and provide a measure that quantifies the...