100 datasets found

The NoCoCoDa dataset is a collection of cough sounds for COVID-19 diagnosis.

The COVID-19 Artificial Intelligence Diagnosis Using Only Cough Recordings dataset is a collection of cough sounds for COVID-19 diagnosis.

The AI4COVID-19 dataset is a collection of cough sounds for COVID-19 diagnosis.

The Coswara dataset is a collection of breathing, cough, and voice sounds for COVID-19 diagnosis.

The proposed method uses four cough datasets, namely Cambridge, Coswara, Virufy, and Virufy integrated with NoCoCoDa to verify the proposed method.

The dataset used in the paper is the COVID-19 pandemic data from Spain, which includes the number of new infected, dead, and recovered cases.

This work has been completed with collaborators Dana Turjeman, John P. Dickerson, and Elissa M. Redmiles

The LDA2Net dataset is a collection of COVID-19 related research papers, including peer-reviewed and pre-peer-reviewed articles.

The Cord-19 corpus is a large collection of COVID-19 related research papers, including peer-reviewed and pre-peer-reviewed articles.

The dataset used in this study is the COVID-19 data from South Korea, including age distributions and hospitalization data.

The dataset used in this study is the COVID-19 data from Spain, including age distributions and hospitalization data.

The dataset used in this study is a comprehensive list of countries with their age distributions and COVID-19 data.

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 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,...

COVID-19 dataset for Poisson regression model

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 for New Zealand COVID-19 pandemic forecasting using spatio-temporal graph neural networks.

The dataset contains COVID-19 daily confirmed positive cases and mobility at transit stations.

The dataset contains public movements estimated from Google mobility reports and COVID-19 daily confirmed positive cases.