26 datasets found

The dataset used in the paper is a collection of COVID-19 hospital demand data, including confirmed cases, deaths, and hospital occupancy.

The dataset used in this paper is the COVID-19 data from Italy, downloaded from the Italian Ministry for Health free repository.

The dataset contains the patient database data on Ebola virus disease.

The dataset contains the cumulative number of infected individuals over time within administrative divisions at the first or second level in Guinea, Sierra Leone, and Liberia.

The dataset is used to model the propagation of COVID-19 epidemic as spatio-temporal point processes and propose a generative and intensity-free model to track the spread of the...

The dataset used in this paper to analyze the spreading dynamics of SARS-CoV-2 and the effectiveness of test-trace-and-isolate (TTI) strategies.

The dataset used in this paper is the age-structured SIR model parameters.

The dataset used in this paper is the COVID-19 data from Washington State, USA.

The Our World in Data COVID-19 dataset is a aggregated dataset from various sources, including official data collated by the Our World in Data team, JHU CSSE COVID-19 Data,...

The dataset used in the paper is COVID-19 data from India, including daily new cases, recoveries, and deaths, as well as population data and tourism data.

The dataset used in this paper is a list of parameters and corresponding values that describe the population and infection kinetics.

The dataset used in this paper is aggregated data from Israel, including confirmed cases, severe cases, and vaccination rates.

Large IQVIA patient claims dataset, which can be used for COVID-19 prediction.

The dataset is used to describe a singular Lagrangian for the Kermack-McKendrick model.

The dataset used in this study is a collection of Twitter data, containing all relevant tweets published for each stock.

Internet data on two common viruses, Respiratory Syncytial Virus (RSV) and West Nile Virus (WNV) in the United States (US).

The COVID-19 pandemic has created turmoil in the lives of millions of people across the globe. Even with the advent of vaccines, their distribution remains a challenge.

The dataset used in the paper is COVID-19 forecasting dataset, which includes various covariates such as mobility indices, non-pharmaceutical interventions, hospital resource...

The dataset is used to study the improved SIR epidemic model of social network marketing effectiveness.

The dataset is used to study the effects of non-pharmaceutical interventions on COVID-19-related mortality.