Advanced Studies in Epidemiology and Statistical Modeling of COVID-19 and Other Infectious Diseases

Dear Colleagues,

Probably, infectious diseases have always spread among living species. There are documents showing that during the 16th century it became clear that some diseases were caused by unseen transmissible agents. Besides quarantine and disinfection, inoculation (variolation) is reported to be a common practice in Asian and African medicine. The mathematician Daniel Bernoulli, a pioneer of probability and statistics, in the second half of the 18th century demonstrated the effectiveness of inoculation. At the beginning of the 19th century, Edward Jenner, the father of immunology, first introduced inoculation from cows (vacca in latin), i.e., vaccination. The first scientific publications on deterministic mathematical models to quantitatively describe the evolution of epidemics appeared in the first half of the 20th century. However, even nowadays, probabilistic models and statistics are fundamental in epidemiology. To fight against the COVID-19 pandemic and to control it, ancient and modern methods have been used, such as quarantine, face masks, disinfection, and mRNA vaccines. In addition, probabilistic models and statistical methods have been providing a significant contribution to this aim, for example to identify the factors that are mainly influencing COVID-19 diffusion, to predict the effect of measures for reducing virus diffusion, and to optimize vaccination campaigns. Beside COVID-19, it is also important to study other infectious diseases, e.g., tuberculosis, AIDS, monkeypox, etc.

This Special Issue will focus on some advanced statistical studies on COVID-19 and other infection diseases.

Dr. Pablo Caballero-Pérez
Dr. Giovanni Sebastiani
Guest Editors

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