Volume 19, Number 2, April 2021

  • Glen Wright Colopy
    Welcome to the Philosophy of Data Science Section
  • Ting Tian, Jianbin Tan, Yukang Jiang, Xueqin Wang, and Heping Zhang
    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
  • Jeffrey S. Morris, and Jing Huang
    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”
  • Corbin Quick and Xihong Lin
    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”
  • Yishu Xue, Hou-Cheng Yang, Yuqing Pan, and Guanyu HuDiscussion 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”
  • Shan Yu, Guannan Wang, and Li Wang
    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”
  • Chuanrong Zhang, and Xinba LiDiscussion 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”
  • Ting Tian, Jianbin Tan, Yukang Jiang, Xueqin Wang, and Heping Zhang
    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”
  • Myungjin Kim, Zhiling Gu, Shan Yu, Guannan Wang, and Li WangMethods, Challenges, and Practical Issues of COVID-19 Projection: A Data Science Perspective
  • Grace Y. Yi, Wenqing He, Dennis K. J. Lin, and Chun Ming Yu
    Testing for COVID-19: Some Statistical Issues
  • Siming Zheng, Jing Qin, and Yong Zhou
    Assessment of Effects of Age and Gender on the Incubation Period of COVID-19 with a Mixture Regression Model
  • Marinho G. Andrade, Jorge A. Achcar, Katiane S. Conceição, and Nalini Ravishanker
    Time Series Regression Models for COVID-19 Deaths
  • Geoffrey C. Fox, Gregor von Laszewski, Fugang Wang, and Saumyadipta Pyne
    AICov: An Integrative Deep Learning Framework for COVID-19 Forecasting with Population Covariates
  • Shiyu He and Samuel W.K. WongFive Critical Genes
    Related to Seven COVID-19 Subtypes: A Data Science Discovery Statistical Challenges in the Analysis of Sequence and Structure Data for the COVID-19 Spike Protein
  • Philip D. Waggoner
    Community Detection in Google Searches Related to“Coronavirus”
  • Donghui Yan, Ying Xu, and Pei Wang
    Estimating the Number of Infected Cases in COVID-19 Pandemic

Journal of Data Science, v.19, no.2

Welcome to the Philosophy of Data Science Section

By Glen Wright Colopy

Journal of Data Science, v.19, no.2

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

By Ting Tian, Jianbin Tan, Yukang Jiang, Xueqin Wang, and Heping Zhang

Journal of Data Science, v.19, no.2

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”

By Jeffrey S. Morris, and Jing Huang

Journal of Data Science, v.19, no.2

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”

By Corbin Quick and Xihong Lin

Journal of Data Science, v.19, no.2

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”

By Yishu Xue, Hou-Cheng Yang, Yuqing Pan, and Guanyu Hu

Journal of Data Science, v.19, no.2

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”

By Shan Yu, Guannan Wang, and Li Wang

Journal of Data Science, v.19, no.2

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”

By Chuanrong Zhang, and Xinba Li

Journal of Data Science, v.19, no.2

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”

By Ting Tian, Jianbin Tan, Yukang Jiang, Xueqin Wang, and Heping Zhang

Journal of Data Science, v.19, no.2

Methods, Challenges, and Practical Issues of COVID-19 Projection: A Data Science Perspective

By Myungjin Kim, Zhiling Gu, Shan Yu, Guannan Wang, and Li Wang

Journal of Data Science, v.19, no.2

Testing for COVID-19: Some Statistical Issues

By Grace Y. Yi, Wenqing He, Dennis K. J. Lin, and Chun Ming Yu

Journal of Data Science, v.19, no.2

Assessment of Effects of Age and Gender on the Incubation Period of COVID-19 with a Mixture Regression Model

By Siming Zheng, Jing Qin, and Yong Zhou

Journal of Data Science, v.19, no.2

Time Series Regression Models for COVID-19 Deaths

By Marinho G. Andrade, Jorge A. Achcar, Katiane S. Conceição, and Nalini Ravishanker

Journal of Data Science, v.19, no.2

AICov: An Integrative Deep Learning Framework for COVID-19 Forecasting with Population Covariates

By Geoffrey C. Fox, Gregor von Laszewski, Fugang Wang1, and Saumyadipta Pyne

Journal of Data Science, v.19, no.2

Five Critical Genes Related to Seven COVID-19 Subtypes: A Data Science Discovery Statistical Challenges in the Analysis of Sequence and Structure Data for the COVID-19 Spike Protein

By Shiyu He and Samuel W.K. Wong

Journal of Data Science, v.19, no.2

Community Detection in Google Searches Related to“Coronavirus”

By Philip D. Waggoner

Journal of Data Science, v.19, no.2

Estimating the Number of Infected Cases in COVID-19 Pandemic

By Donghui Yan, Ying Xu, and Pei Wang