The objective of this study was to analyse the dynamics of spatial dispersion of the
coronavirus disease 2019 (COVID-19) in Brazil by correlating them to socioeconomic …

Objective: to analyze how the social isolation measures and closed borders affected the
health and economy in an international border region. Method: descriptive cross-sectional …

Brazil was one of the countries most affected during the first year of the COVID-19 pandemic,
in a pre-vaccine era, and mathematical and statistical models were used in decision-making …

Background and aims The novel coronavirus-induced severe acute respiratory syndrome
(COVID-19) led to one of the most significant global pandemics of the 21st century, causing …

With the emergence of the COVID-19 pandemic, experts aim to predict the number of
confirmed cases and take measures to reduce death rates in order to be prepared for future …

People share and seek information online that reflects a variety of social phenomena,
including concerns about health conditions. We analyze how the contents of social networks …

Objetivo: Analisar a tendência temporal da incidência, mortalidade, cobertura de
enfermarias e leitos de terapia intensiva e rígido isolamento social no estado do Ceará e …

Monitoring the crowd in urban hot spot has been an important research topic in the field of
urban management and has high social impact. It can allow more flexible allocation of public …

INTRODUCTION: Mathematical models have been used to obtain long-term forecasts of the
COVID-19 epidemic. METHODS: The daily COVID-19 case count in two Brazilian states was …

We propose a probabilistic model to quantify the cost-benefit of mass Vaccination Scenarios
(VSs) against COVID-19. Through this approach, we conduct a six-month simulation, from …