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Welcome to the Philosophy of Data Science Section.
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- Journal of Data Science, 2021, v. 19, n. 2, p. 173, doi. 10.6339/21-JDS192EDI
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Evaluate the Risk of Resumption of Business for the States of New York, New Jersey and Connecticut via a Pre-Symptomatic and Asymptomatic Transmission Model of COVID-19.
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- Journal of Data Science, 2021, v. 19, n. 2, p. 178, doi. 10.6339/21-JDS994
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Discussion of "Evaluate the Risk of Resumption of Business for the States of New York, New Jersey and Connecticut via a Pre-Symptomatic and Asymptomatic Transmission Model of COVID-19".
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- Journal of Data Science, 2021, v. 19, n. 2, p. 197, doi. 10.6339/21-JDS994A
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- Article
Discussion of "Evaluate the Risk of Resumption of Business for the States of New York, New Jersey and Connecticut via a Pre-Symptomatic and Asymptomatic Transmission Model of COVID-19".
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- Journal of Data Science, 2021, v. 19, n. 2, p. 201, doi. 10.6339/21-JDS994B
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- Article
Discussion of "Evaluate the Risk of Resumption of Business for the States of New York, New Jersey and Connecticut via a Pre-Symptomatic and Asymptomatic Transmission Model of COVID-19".
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- Journal of Data Science, 2021, v. 19, n. 2, p. 203, doi. 10.6339/21-JDS994C
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- Article
Discussion of "Evaluate the Risk of Resumption of Business for the States of New York, New Jersey and Connecticut via a Pre-Symptomatic and Asymptomatic Transmission Model of COVID-19".
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- Journal of Data Science, 2021, v. 19, n. 2, p. 206, doi. 10.6339/21-JDS994D
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- Article
Discussion of "Evaluate the Risk of Resumption of Business for the States of New York, New Jersey and Connecticut via a Pre-Symptomatic and Asymptomatic Transmission Model of COVID-19".
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- Journal of Data Science, 2021, v. 19, n. 2, p. 210, doi. 10.6339/21-JDS994E
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Rejoinder: "Evaluate the Risk of Resumption of Business for the States of New York, New Jersey and Connecticut via a Pre-Symptomatic and Asymptomatic Transmission Model of COVID-19".
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- Journal of Data Science, 2021, v. 19, n. 2, p. 215, doi. 10.6339/21-JDS994REJ
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Methods, Challenges, and Practical Issues of COVID-19 Projection: A Data Science Perspective.
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- Journal of Data Science, 2021, v. 19, n. 2, p. 219, doi. 10.6339/21-JDS1013
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Testing for COVID-19: Some Statistical Issues.
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- Journal of Data Science, 2021, v. 19, n. 2, p. 243, doi. 10.6339/21-JDS993
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Assessment of Effects of Age and Gender on the Incubation Period of COVID-19 with a Mixture Regression Model.
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- Journal of Data Science, 2021, v. 19, n. 2, p. 253, doi. 10.6339/21-JDS992
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Time Series Regression Models for COVID-19 Deaths.
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- Journal of Data Science, 2021, v. 19, n. 2, p. 269, doi. 10.6339/21-JDS991
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AICov: An Integrative Deep Learning Framework for COVID-19 Forecasting with Population Covariates.
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- Journal of Data Science, 2021, v. 19, n. 2, p. 293, doi. 10.6339/21-JDS1007
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Statistical Challenges in the Analysis of Sequence and Structure Data for the COVID-19 Spike Protein.
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- Journal of Data Science, 2021, v. 19, n. 2, p. 314, doi. 10.6339/21-JDS1006
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Community Detection in Google Searches Related to "Coronavirus".
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- Journal of Data Science, 2021, v. 19, n. 2, p. 334, doi. 10.6339/21-JDS1001
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Estimating the Number of Infected Cases in COVID-19 Pandemic.
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- Journal of Data Science, 2021, v. 19, n. 2, p. 348, doi. 10.6339/21-JDS1002
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