COVID-19

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Datasets:

Kaggle

The primary goal of Kaggle’s COVID-19 effort is to find factors that impact the transmission of COVID-19 (particularly those that map to the NASEM/WHO open scientific questions). You've already shown great results in producing meaningful insights to help address the pandemic! - Kaggle Team

  • COVID-19 Dataset Challenge: Kagglers will need to find, curate, share -- and join -- useful public datasets. You can review the relevant threads for sharing datasets and discussing dataset ideas to get an idea of the types of things that Kagglers find most useful. For this challenge we are only considering public datasets on Kaggle.

Acknowledgments

Research Tools

Which help to uncover potential patterns across research papers...

Simulations

Centers of Disease Control and Prevention (CDC)

What is Corona virus? What is COVID-19? Coronaviruses (CoV) are a large family of viruses that cause illness ranging from the common cold to more severe diseases such as Middle East Respiratory Syndrome (MERS-CoV) and Severe Acute Respiratory Syndrome (SARS-CoV). Coronavirus disease (COVID-19) caused by SARS-COV2 is a new strain that was discovered in 2019 and has not been previously identified in humans. Coronaviruses are zoonotic, meaning they are transmitted between animals and people. Detailed investigations found that SARS-CoV was transmitted from civet cats to humans and MERS-CoV from camels to humans. Several known coronaviruses are circulating in animals that have not yet infected humans. It is believed that COVID-19 was transmitted from pangolin to humans (current theory). Common signs of infection include respiratory symptoms, fever, cough, shortness of breath and breathing difficulties. In more severe cases, infection can cause pneumonia, severe acute

Corona Virus: Epidemiology, Pathophysiology, Diagnostics | Zach Murphy

The Exponential Power of Now | Nicholas P. Jewell is Chair of Biostatistics and Epidemiology at the London School of Medicine and Tropical Medicine