In the past few months, several works were published in regards to the dynamics and early
detection of COVID-19 via mathematical modeling and Artificial intelligence (AI). The aim of …

This primer article focuses on the basic reproduction number, ℛ 0, for infectious diseases,
and other reproduction numbers related to ℛ 0 that are useful in guiding control strategies …

Despite various levels of preventive measures, in 2020, many countries have suffered
severely from the coronavirus disease 2019 (COVID-19) pandemic caused by the severe …

In this paper we develop a mathematical model for the spread of the coronavirus disease
2019 (COVID-19). It is a new θ-SEIHRD model (not a SIR, SEIR or other general purpose …

An epidemic disease caused by a new coronavirus has spread in Northern Italy with a
strong contagion rate. We implement an SEIR model to compute the infected population and …

Individual variation in susceptibility and exposure is subject to selection by natural infection,
accelerating the acquisition of immunity, and reducing herd immunity thresholds and …

While large scale mobility data has become a popular tool to monitor the mobility patterns
during the COVID-19 pandemic, the impacts of non-compulsory measures in Tokyo, Japan …

Over the past decade, the use of networks has led to a new modelling paradigm combining
several branches of science, including physics, mathematics, biology and social sciences …

In recent years the research community has accumulated overwhelming evidence for the
emergence of complex and heterogeneous connectivity patterns in a wide range of …

Viruses that infect microbial hosts have traditionally been studied in laboratory settings with
a focus on either obligate lysis or persistent lysogeny. In the environment, these infection …