Difference between revisions of "COVID-19"
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* [http://www.kaggle.com/competitions Competitions | Kaggle] | * [http://www.kaggle.com/competitions Competitions | Kaggle] | ||
* [http://covidtracking.com/data/ Covid Tracking Project] | * [http://covidtracking.com/data/ Covid Tracking Project] | ||
| + | * [http://www.coursera.org/learn/covid19-epidemiology?utm_medium=email&utm_source=other&utm_campaign=partner.8.opencourse.targetedmessages.marketing~partner.8.KgPy15eFTxqdgao_YqVH5g Fighting COVID-19 with Epidemiology: A Johns Hopkins Teach-Out] This free Teach-Out is for anyone who has been curious about how we identify and measure outbreaks like the COVID-19 epidemic and wants to understand the epidemiology of these infections. | ||
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 | 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 | ||
Revision as of 10:32, 28 March 2020
Youtube search... ...Google search
- Kaggle
- Kaggle Competitions
- Competitions | Kaggle
- Covid Tracking Project
- Fighting COVID-19 with Epidemiology: A Johns Hopkins Teach-Out This free Teach-Out is for anyone who has been curious about how we identify and measure outbreaks like the COVID-19 epidemic and wants to understand the epidemiology of these infections.
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 Open Research Dataset Challenge (CORD-19) in response to the COVID-19 pandemic
- COVID-19 Global Forecasting Challenge week 2 of Kaggle's COVID19 forecasting series: The primary goal is not only to forecast accurately, but to find factors that impact transmission rate of COVID-19. You are encouraged to pull in, curate, and share data sources that might be helpful. If you find variables that look like they impact the transmission rate, please share your findings in a notebook.
- 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
- John Hopkins University The Center for Systems Science and Engineering (CSSE) for making the data available to the public ...COVID-19 Map
- White House Office of Science and Technology Policy (OSTP) for pulling together the key open questions.
