17 datasets found

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.

The June-Germany framework is used to simulate the impact of school closures on COVID-19 transmission in Germany.

The dataset used in this paper is an SI epidemic model whereby the susceptible compartment is structured by a continuous variable x ∈ X, with X being an interval (possibly...

Outbreak data for African Swine Fever in Wild Boar.

African swine fever case data and its separation into clusters.

The dataset used in the paper is COVID-19 case data, state restriction policy, population and density, population with higher risk, age structure data, race structure data, and...

The dataset is used to demonstrate the application of the Computational Hypergraph Discovery (CHD) framework to recover functional dependencies from COVID-19 open data.