Special Issue 1: COVID-19: Unprecedented Challenges and Chances · Harvard Data Science Review

From the Editor-In-Chief

COVID-19: A Massive Stress Test With Many Unexpected Opportunities (for Data Science)

by Xiao-Li Meng

A Conversation With Larry Bacow on the Impact of COVID-19

by Lawrence Bacow, Xiao-Li Meng, and Liberty Vittert

Published: May 14, 2020

Building Intuition Regarding the Statistical Behavior of Mass Medical Testing Programs

by Lance Waller and Taal Levi

Published: May 14, 2021

Modeling and Analysis of the Spread of COVID-19 Under a Multiple-Strain Model With Mutations

by Osman Yagan, Anirudh Sridhar, Rashad Eletreby, Simon Levin, Joshua B. Plotkin, and H. Vincent Poor

Published: Apr 23, 2021

Individual Acceptance of Using Health Data for Private and Public Benefit: Changes During the COVID-19 Pandemic

by Frederic Gerdon, Helen Nissenbaum, Ruben L. Bach, Frauke Kreuter, and Stefan Zins

Published: Apr 06, 2021

Curating a COVID-19 Data Repository and Forecasting County-Level Death Counts in the United States

by Nicholas Altieri, Rebecca L Barter, James Duncan, Raaz Dwivedi, Karl Kumbier, Xiao Li, Robert Netzorg, Briton Park, and 6 more

Published: Feb 08, 2021

Connections

Supplements (1):

Bin Yu & 1 other

The Politics of COVID-19: Partisan Polarization About the Pandemic Has Increased, but Support for Health Care Reform Hasn’t Moved at All

by John Sides, Chris Tausanovitch, and Lynn Vavreck

Published: Nov 30, 2020

Knowledge Graphs and COVID-19: Opportunities, Challenges, and Implementation

by Mayank Kejriwal

Published: Dec 01, 2020

Estimating the Number of SARS-CoV-2 Infections and the Impact of Mitigation Policies in the United States

by James Johndrow, Patrick Ball, Maria Gargiulo, and Kristian Lum

Published: Nov 23, 2020

Geo-Mapping of COVID-19 Risk Correlates Across Districts and Parliamentary Constituencies in India

by S V Subramanian, Omar Karlsson, Weixing Zhang, and Rockli Kim

Connections

Supplements (1):

S V Subramanian & 3 others

A Conversation on COVID-19 With Head of Statistics for BBC News Robert Cuffe

by Robert Cuffe, Liberty Vittert, and Xiao-Li Meng

Published: Aug 21, 2020

A Conversation on COVID-19 With Brief19 Editor-in-Chief and ER Physician Jeremy Faust

by Jeremy Faust, Xiao-Li Meng, and Liberty Vittert

Published: Jul 24, 2020

Time Series Models Based on Growth Curves With Applications to Forecasting Coronavirus

by Andrew Harvey and Paul Kattuman

Published: Aug 25, 2020

A Spatiotemporal Epidemiological Prediction Model to Inform County-Level COVID-19 Risk in the United States

by Yiwang Zhou, Lili Wang, Leyao Zhang, Lan Shi, Kangping Yang, Jie He, Zhao Bangyao, William Overton, and 2 more

Published: Aug 06, 2020

On Identifying and Mitigating Bias in the Estimation of the COVID-19 Case Fatality Rate

by Anastasios Nikolas Angelopoulos, Reese Pathak, Rohit Varma, and Michael I. Jordan

Connections

Supplements (1):

Aleksandrina Goeva & 1 other

Predictions, Role of Interventions, and Effects of a Historic National Lockdown in India's Response to the COVID-19 Pandemic: Data Science Call to Arms

by Debashree Ray, Maxwell Salvatore, Rupam Bhattacharyya, Lili Wang, Jiacong Du, Shariq Mohammed, Soumik Purkayastha, Aritra Halder, and 10 more

Published: Jun 09, 2020

Tackling COVID-19 Through Responsible AI Innovation: Five Steps in the Right Direction

by David Leslie

Published: Jun 05, 2020

A Conversation About COVID-19 With Economists, Sociologists, Statisticians, and Operations Researchers

by David Banks, Laura A. Albert, Jonathan P. Caulkins, Sylvia Frühwirth-Schnatter, Fiona Greig, Adrian Raftery, and Duncan Thomas

Published: May 22, 2020

A Conversation About COVID-19 With Biostatisticians and Epidemiologists

by David Banks, Susan S. Ellenberg, Thomas R. Fleming, M. Elizabeth Halloran, Andrew B. Lawson, and Lance Waller

Published: May 14, 2020

Bayesian Adaptive Clinical Trials for Anti-Infective Therapeutics During Epidemic Outbreaks

by Shomesh Chaudhuri, Andrew W. Lo, Danying Xiao, and Qingyang Xu

Published: May 14, 2020

Estimating Probabilities of Success of Vaccine and Other Anti-Infective Therapeutic Development Programs

by Andrew W. Lo, Kien Wei Siah, and Chi Heem Wong

Published: May 14, 2020

The Coronavirus Exponential: A Preliminary Investigation Into the Public's Understanding

by Alexander Podkul, Liberty Vittert, Scott Tranter, and Alex Alduncin

Published: May 14, 2020

COVID-19: Unprecedented Challenges and Chances

Special Issue 1

From the Editor-In-Chief

COVID-19: A Massive Stress Test With Many Unexpected Opportunities (for Data Science)

Contents

A Conversation With Larry Bacow on the Impact of COVID-19

Building Intuition Regarding the Statistical Behavior of Mass Medical Testing Programs

Modeling and Analysis of the Spread of COVID-19 Under a Multiple-Strain Model With Mutations

Individual Acceptance of Using Health Data for Private and Public Benefit: Changes During the COVID-19 Pandemic

Curating a COVID-19 Data Repository and Forecasting County-Level Death Counts in the United States

The Politics of COVID-19: Partisan Polarization About the Pandemic Has Increased, but Support for Health Care Reform Hasn’t Moved at All

Knowledge Graphs and COVID-19: Opportunities, Challenges, and Implementation

Estimating the Number of SARS-CoV-2 Infections and the Impact of Mitigation Policies in the United States

Geo-Mapping of COVID-19 Risk Correlates Across Districts and Parliamentary Constituencies in India

A Conversation on COVID-19 With Head of Statistics for BBC News Robert Cuffe

A Conversation on COVID-19 With Brief19 Editor-in-Chief and ER Physician Jeremy Faust

Time Series Models Based on Growth Curves With Applications to Forecasting Coronavirus

A Spatiotemporal Epidemiological Prediction Model to Inform County-Level COVID-19 Risk in the United States

On Identifying and Mitigating Bias in the Estimation of the COVID-19 Case Fatality Rate

Predictions, Role of Interventions, and Effects of a Historic National Lockdown in India's Response to the COVID-19 Pandemic: Data Science Call to Arms

Tackling COVID-19 Through Responsible AI Innovation: Five Steps in the Right Direction

A Conversation About COVID-19 With Economists, Sociologists, Statisticians, and Operations Researchers

A Conversation About COVID-19 With Biostatisticians and Epidemiologists

Bayesian Adaptive Clinical Trials for Anti-Infective Therapeutics During Epidemic Outbreaks

Estimating Probabilities of Success of Vaccine and Other Anti-Infective Therapeutic Development Programs

The Coronavirus Exponential: A Preliminary Investigation Into the Public's Understanding