What do we know about COVID-19 risk factors? What have we learned from epidemiological studies?
Specifically, want to know what the literature reports about:
Data on potential risks factors:
Smoking, pre-existing pulmonary disease
Co-infections (determine whether co-existing respiratory/viral infections make the virus more transmissible or virulent) and other co-morbidities
Neonates and pregnant women
Socio-economic and behavioral factors to understand the economic impact of the virus and whether there were differences.
Transmission dynamics of the virus, including the basic reproductive number, incubation period, serial interval, modes of transmission and environmental factors
Severity of disease, including risk of fatality among symptomatic hospitalized patients, and high-risk patient groups
Susceptibility of populations
Public health mitigation measures that could be effective for control Prizes
Kaggle is sponsoring a $1,000 per task award to the winner who is identified as best meeting the evaluation criteria. The winner may elect to receive this award as a charitable donation to COVID-19 relief/research efforts or as a monetary payment.
If you are interested please contact me .
Good data modelling
https://www.youtube.com/user/kaggledotcom
Kaggle is a wonderful platform for Data Science enthusiasts and professionals to learn and grow in the field. Kaggle was co-founded by Anthony Goldbloom and Ben Hamner in 2010. Anthony Goldbloom and Jeremy Howard were the chief personnels of the platform. It initially started out with Machine Learning competitions. However, Kaggle has now evolved into a hub for Data Science from competitions to discussions and even education. In 2011, the value of the company rose to $25 million. Eventually, Google acquired Kaggle in early 2017.
