The COVID-19 epidemic has caused more than 6.4 million deaths to date and has become a
hot topic of interest in different disciplines. According to bibliometric analysis, more than …

Although international airports served as main entry points for SARS-CoV-2, the factors
driving the uneven geographic spread of COVID-19 cases and deaths in Brazil remain …

Background and objective Many countries around the world experienced a high increase in
the number of COVID-19 cases after a few weeks of the first case, and along with it …

Since 2019, major infectious disease outbreaks have placed tremendous pressure on global
public health systems, triggering extensive research on the predictive modeling of infectious …

The COVID-19 virus outbreak has affected most of the world in 2020. This paper deals with
artificial intelligence (AI) methods that can address the problem of predicting scale …

Background and Objective: COVID-19 pandemic continues unabated due to the rapid
spread of new mutant strains of the virus. Decentralized cluster containment is an efficient …

Mathematical modeling is a powerful tool to study the process of the spread of infectious
diseases. Among various mathematical methods for describing the spread of infectious …

Background and objective: One of the main goals of epidemiological studies is to build
models capable of forecasting the prevalence of a contagious disease, in order to propose …

The delay of an infectious disease is significant when aiming to predict its strength and
spreading patterns. In this paper the SEIR​(susceptible–exposed–infected–recovered) …

The Covid-19 pandemic emerged and evolved so quickly that societies were not able to
respond quickly enough, mainly due to the nature of the Covid-19 virus' rate of spread and …