COVID-19

Ensemble learning models coupled with urban mobility information applied to predict COVID-19 incidence cases

The coronavirus disease (COVID-19), according to the World Health Organization, by September 4th, 2020, has infected more than 26 million people, and more than 865 thousand have died from it in the worldwide. It is important to forecast the incidence …

covibrasilbot

A Twitter bot that reports the number of confirmed cases and deaths by COVID-19 in Brazil using rtweet and Github Actions.

Forecasting COVID-19 pandemic using an echo state neural network-based framework

Forecasts can help in the decision-making process. Epidemiological forecasts are no different, they can help to evaluate the scenario and possible direction of disease spread, for guiding possible interventions. In this work, Echo State Networks …

COVID-19 Automatic Reports from Brazil

The number of confirmed cases and deaths by COVID-19 from Brazil is daily update and summarized in the automatic reports and graphs.

Forecasting the cumulative cases of COVID-19 in four large Brazilian cities using machine learning approaches

The Coronavirus disease 2019 (COVID-19) is a disease responsible for infecting millions of people since the first notification until nowadays. Developing efficient short-term forecasting models allow knowing the number of future COVID-19 cases. In …

Inteligência artificial como suporte a tomada de decisão para previsão de novos casos do coronavírus (COVID-19)

Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables

The novel coronavirus disease (COVID-19) is a public health problem once according to the World Health Organization up to June 24th, 2020, more than 9.1 million people were infected, and more than 470 thousand have died worldwide. In the current …

Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil

The new Coronavirus (COVID-19) is an emerging disease responsible for infecting millions of people since the first notification until nowadays. Developing efficient short-term forecasting models allow forecasting the number of future cases. In this …