(1) Background: The virulence of coronavirus diseases due to viruses like SARS-CoV or
MERS-CoV decreases in humid and hot weather. The putative temperature dependence of …

In this paper we use the technique of functional data analysis to model daily hospitalized,
deceased, Intensive Care Unit (ICU) cases and return home patient numbers along the …

(1) Background: The estimation of daily reproduction numbers throughout the
contagiousness period is rarely considered, and only their sum R0 is calculated to quantify …

Background The models that historically have been used to model infectious disease
outbreaks are equation-based and statistical models. However, these models do not capture …

The COVID-19 pandemic continues to spread and already shows a recurrence in many
countries, despite several social distancing and vaccination measures implemented all …

Optimal control for infectious diseases has received increasing attention over the past few
decades. In general, a combination of cost state variables and control effort have been …

Revisiting the classical model by Ross and Kermack-McKendrick, the Susceptible–Infectious–
Recovered (SIR) model used to formalize the COVID-19 epidemic, requires improvements …

The obesity pandemic is represented by a discrete-time Hopfield Boolean network
embedded in continuous-time population dynamics. The influence of the social environment …

The present study has investigated mixed control strategy to reduce the required level of
vaccination to eradicate a disease. It is well known that despite the advances on the …

This chapter aims to apply a mathematical approach of the social and community networks
in the discrete dynamic modeling context of a current pandemic, obesity, identified as a …