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COVID-19 data in India
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. -
COVID-19 time series
Raw data for Confirmed cases and Deaths time series -
COVID-19 Parameters and Values
The dataset used in this paper is a list of parameters and corresponding values that describe the population and infection kinetics. -
Israel COVID-19 Aggregated Data
The dataset used in this paper is aggregated data from Israel, including confirmed cases, severe cases, and vaccination rates. -
Florence plague and COVID-19 pandemic mortality data
The dataset used in the paper is the mortality data from the plague pandemic of 1417 in Florence and the COVID-19 pandemic in China and Europe. -
COVID-19 risk index
The dataset used in the paper is a COVID-19 risk index, which is a combination of two sources: INFORM and Euler Hermes. The dataset contains country-level exposure to COVID-19... -
IQVIA patient claims dataset
Large IQVIA patient claims dataset, which can be used for COVID-19 prediction. -
COVID-19 data
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. -
COVID-19 Forecasting Dataset
The dataset used in the paper is COVID-19 forecasting dataset, which includes various covariates such as mobility indices, non-pharmaceutical interventions, hospital resource... -
Effects of non-pharmaceutical interventions on COVID-19-related mortality
The dataset is used to study the effects of non-pharmaceutical interventions on COVID-19-related mortality. -
June-Germany framework
The June-Germany framework is used to simulate the impact of school closures on COVID-19 transmission in Germany. -
COVID-19 dataset
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... -
COVID-19 Open Data
The dataset is used to demonstrate the application of the Computational Hypergraph Discovery (CHD) framework to recover functional dependencies from COVID-19 open data.