• New Insights into the Estimation of Reproduction Numbers during an Epidemic 

      Sebastiani, Giovanni; Spassiani, Ilaria (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-10-25)
      In this paper, we deal with the problem of estimating the reproduction number Rt during an epidemic, as it represents one of the most used indicators to study and control this phenomenon. In particular, we focus on two issues. First, to estimate Rt , we consider the use of positive test case data as an alternative to the first symptoms data, which are typically used. We both theoretically and ...
    • Spatiotemporal Analysis of COVID-19 Incidence Data 

      Spassiani, Ilaria; Sebastiani, Giovanni; Palu, Giorgio (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-03-11)
      High-density lipoproteins (HDL) are a heterogenous group of plasma molecules with a large variety in composition. There is a wide specter in lipid content and the number of different proteins that has been associated with HDL is approaching 100. Given this heterogeneity and the fact that the total amount of HDL is inversely related to the risk of coronary heart disease (CHD), there has been ...
    • Vaccination criteria based on factors influencing COVID-19 diffusion and mortality 

      Spassiani, Ilaria; Gubian, Lorenzo; Palu, Giorgio; Sebastiani, Giovanni (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-12-15)
      SARS-CoV-2 is highly contagious, rapidly turned into a pandemic, and is causing a relevant number of critical to severe life-threatening COVID-19 patients. However, robust statistical studies of a large cohort of patients, potentially useful to implement a vaccination campaign, are rare. We analyzed public data of about 19,000 patients for the period 28 February to 15 May 2020 by several mathematical ...