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original article |
Date |
Title |
Authors Max. 6 Authors |
| 1 |
[GO] |
2024―Mar―07 |
A comprehensive benchmark for COVID-19 predictive modeling using electronic health records in intensive care |
Junyi Gao, Yinghao Zhu, Wenqing Wang, Zixiang Wang, Guiying Dong, Wen Tang, Hao Wang, Yasha Wang, Ewen M. Harrison, Liantao Ma |
| 2 |
[GO] |
2023―Dec―01 |
Using machine learning probabilities to identify effects of COVID-19 |
Vijendra Ramlall, Undina Gisladottir, Jenna Kefeli, Yutaro Tanaka, Benjamin May, Nicholas Tatonetti |
| 3 |
[GO] |
2023―Jul―21 |
Understanding the host-pathogen evolutionary balance through Gaussian process modeling of SARS-CoV-2 |
Salvatore Loguercio, Ben C. Calverley, Chao Wang, Daniel Shak, Pei Zhao, Shuhong Sun, G.R. Scott Budinger, William E. Balch |
| 4 |
[GO] |
2022―Dec―01 |
Comprehensively identifying Long Covid articles with human-in-the-loop machine learning |
Robert Leaman, Rezarta Islamaj, Alexis Allot, Qingyu Chen, W. John Wilbur, Zhiyong Lu |
| 5 |
[GO] |
2022―Aug―12 |
Analyzing the impact of a real-life outbreak simulator on pandemic mitigation: An epidemiological modeling study |
Ivan Specht, Kian Sani, Bryn C. Loftness, Curtis Hoffman, Gabrielle Gionet, Amy Bronson, John Marshall, Craig Decker, Landen Bailey, Tomi Siyanbade, Molly Kemball, Brett E. Pickett, William P. Hanage, Todd Brown, Pardis C. Sabeti, Andrés Colubri |
| 6 |
[GO] |
2022―Jul―07 |
Efficient compression of SARS-CoV-2 genome data using Nucleotide Archival Format (NAF) |
Kirill Kryukov, Lihua Jin, So Nakagawa |
| 7 |
[GO] |
2022―Jun―15 |
Diet During the COVID-19 Pandemic: An Analysis of Twitter Data |
Mark A. Hernandez, Shagun Modi, Kanisha Mittal, Pallavi Dwivedi, Quynh C. Nguyen, Nina L. Cesare, Elaine O. Nsoesie |
| 8 |
[GO] |
2022―Mar―09 |
Using Machine Learning to Identify Important Predictors of COVID-19 Infection Prevention Behaviors During the Early Phase of the Pandemic |
Caspar J. van Lissa, Wolfgang Stroebe, Michelle R. vanDellen, N. Pontus Leander, Maximilian Agostini, Tim Draws, Andrii Grygoryshyn, Ben Gützgow, Jannis Kreienkamp, Clara S. Vetter, Georgios Abakoumkin, Jamilah Hanum Abdul Khaiyom, Vjolica Ahmedi, Handan Akkas, Carlos A. Almenara, Mohsin Atta, Sabahat Cigdem Bagci, Sima Basel, Edona Berisha Kida, Allan B.I. Bernardo, Nicholas R. Buttrick, Phatthanakit Chobthamkit, Hoon-Seok Choi, Mioara Cristea, Sára Csaba, Kaja Damnjanović, Ivan Danyliuk, Arobindu Dash, Daniela Di Santo, Karen M. Douglas, Violeta Enea, Daiane Gracieli Faller, Gavan J. Fitzsimons, Alexandra Gheorghiu, Ángel Gómez, Ali Hamaidia, Qing Han, Mai Helmy, Joevarian Hudiyana, Bertus F. Jeronimus, Ding-Yu Jiang, Veljko Jovanović, Željka Kamenov, Anna Kende, Shian-Ling Keng, Tra Thi Thanh Kieu, Yasin Koc, Kamila Kovyazina, Inna Kozytska, Joshua Krause, Arie W. Kruglanksi, Anton Kurapov, Maja Kutlaca, Nóra Anna Lantos, Edward P. Lemay, Cokorda Bagus Jaya Lesmana, Winnifred R. Louis, Adrian Lueders, Najma Iqbal Malik, Anton P. Martinez, Kira O. McCabe, Jasmina Mehulić, Mirra Noor Milla, Idris Mohammed, Erica Molinario, Manuel Moyano, Hayat Muhammad, Silvana Mula, Hamdi Muluk, Solomiia Myroniuk, Reza Najafi, Claudia F. Nisa, Boglárka Nyúl, Paul A. O’Keefe, Jose Javier Olivas Osuna, Evgeny N. Osin, Joonha Park, Gennaro Pica, Antonio Pierro, Jonas H. Rees, Anne Margit Reitsema, Elena Resta, Marika Rullo, Michelle K. Ryan, Adil Samekin, Pekka Santtila, Edyta M. Sasin, Birga M. Schumpe, Heyla A. Selim, Michael Vicente Stanton, Samiah Sultana, Robbie M. Sutton, Eleftheria Tseliou, Akira Utsugi, Jolien Anne van Breen, Kees Van Veen, Alexandra Vázquez, Robin Wollast, Victoria Wai-Lan Yeung, Somayeh Zand, Iris Lav Žeželj, Bang Zheng, Andreas Zick, Claudia Zúñiga, Jocelyn J. Bélanger |
| 9 |
[GO] |
2022―Feb―09 |
SASC: A Simple Approach to Synthetic Cohorts for generating longitudinal observational patient cohorts from COVID-19 clinical data |
Takoua Khorchani, Yojana Gadiya, Gesa Witt, Delia Lanzillotta, Carsten Claussen, Andrea Zaliani |
| 10 |
[GO] |
2022―Feb―01 |
Inferring global-scale temporal latent topics from news reports to predict public health interventions for COVID-19 |
Zhi Wen, Guido Powell, Imane Chafi, David L. Buckeridge, Yue Li |
| 11 |
[GO] |
2021―Nov―18 |
Metaviromic identification of discriminative genomic features in SARS-CoV-2 using machine learning |
Jonathan J. Park, Sidi Chen |
| 12 |
[GO] |
2021―Nov―09 |
Machine Learning and Network Medicine approaches for Drug Repositioning for COVID-19 |
Suzana de Siqueira Santos, Mateo Torres, Diego Galeano, María del Mar Sánchez, Luca Cernuzzi, Alberto Paccanaro |
| 13 |
[GO] |
2021―Oct―25 |
Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients |
Tingyi Wanyan, Hossein Honarvar, Suraj K. Jaladanki, Chengxi Zang, Nidhi Naik, Sulaiman Somani, Jessica K. De Freitas, Ishan Paranjpe, Akhil Vaid, Jing Zhang, Riccardo Miotto, Zhangyang Wang, Girish N. Nadkarni, Marinka Zitnik, Ariful Azad, Fei Wang, Ying Ding, Benjamin S. Glicksberg |
| 14 |
[GO] |
2021―Sep―15 |
A snapshot of a pandemic: The interplay between social isolation and COVID-19 dynamics in Brazil |
Cláudia P. Ferreira, Diego Marcondes, Mariana P. Melo, Sérgio M. Oliva, Cláudia M. Peixoto, Pedro S. Peixoto |
| 15 |
[GO] |
2021―Aug―13 |
Did chatbots miss their “Apollo Moment”? Potential, gaps, and lessons from using collaboration assistants during COVID-19 |
Biplav Srivastava |
| 16 |
[GO] |
2021―Aug―13 |
On the role of artificial intelligence in medical imaging of COVID-19 |
Jannis Born, David Beymer, Deepta Rajan, Adam Coy, Vandana V. Mukherjee, Matteo Manica, Prasanth Prasanna, Deddeh Ballah, Michal Guindy, Dorith Shaham, Pallav L. Shah, Emmanouil Karteris, Jan L. Robertus, Maria Gabrani, Michal Rosen-Zvi |
| 17 |
[GO] |
2021―Aug―13 |
Accounting for uncertainty during a pandemic |
Jon Zelner, Julien Riou, Ruth Etzioni, Andrew Gelman |
| 18 |
[GO] |
2021―Jul―27 |
Data analytics to evaluate the impact of infectious disease on economy: Case study of COVID-19 pandemic |
Meleik Hyman, Calvin Mark, Ahmed Imteaj, Hamed Ghiaie, Shabnam Rezapour, Arif M. Sadri, M. Hadi Amini |
| 19 |
[GO] |
2021―Jul―14 |
Integrative resource for network-based investigation of COVID-19 combinatoric drug repositioning and mechanism of action |
A.K.M. Azad, Shadma Fatima, Alexander Capraro, Shafagh A. Waters, Fatemeh Vafaee |
| 20 |
[GO] |
2021―Jun―18 |
Lag Time between State-level Policy Interventions and Changepoints in COVID-19 Outcomes in the United States |
Tanujit Dey, Jaechoul Lee, Sounak Chakraborty, Jay Chandra, Anushka Bhaskar, Kenneth Zhang, Anchal Bhaskar, Francesca Dominici |
| 21 |
[GO] |
2021―May―06 |
Welcome to the revolution: Covid-19 and the democratization of spatial-temporal data |
Tom Koch |
| 22 |
[GO] |
2021―Apr―30 |
On the Role of Artificial Intelligence in Medical Imaging of COVID-19 |
Jannis Born, David Beymer, Deepta Rajan, Adam Coy, Vandana V. Mukherjee, Matteo Manica, Prasanth Prasanna, Deddeh Ballah, Michal Guindy, Dorith Shaham, Pallav L. Shah, Emmanouil Karteris, Jan L. Robertus, Maria Gabrani, Michal Rosen-Zvi |
| 23 |
[GO] |
2021―Apr―21 |
An intra-host SARS-CoV-2 dynamics model to assess testing and quarantine strategies for incoming travelers, contact person management and de-isolation |
Wiep van der Toorn, Djin-Ye Oh, Daniel Bourquain, Janine Michel, Eva Krause, Andreas Nitsche, Max von Kleist |
| 24 |
[GO] |
2021―Apr―16 |
COVID-19 and the differential dilemma |
Sharlee Climer |
| 25 |
[GO] |
2021―Apr―16 |
Uncovering the complexities of biological structures with network-based learning: an application in SARS-CoV-2 |
Faraz Faghri, Mike A. Nalls |
| 26 |
[GO] |
2021―Apr―05 |
Secondary analysis of transcriptomes of SARS-CoV-2 infection models to characterize COVID-19 |
Sudhir Ghandikota, Mihika Sharma, Anil G. Jegga |
| 27 |
[GO] |
2021―Mar―29 |
Network-based Virus-Host Interaction Prediction with Application to SARS-CoV-2 |
Hangyu Du, Feng Chen, Hongfu Liu, Pengyu Hong |
| 28 |
[GO] |
2021―Jan―12 |
How Could COVID-19 Change Scholarly Communication to a New Normal in the Open Science Paradigm? |
Kazuhiro Hayashi |
| 29 |
[GO] |
2021―Jan―12 |
How Do Data Bolster Pandemic Preparedness and Response? How Do We Improve Data and Systems to Be Better Prepared? |
Priyanka Pillai |
| 30 |
[GO] |
2020―Dec―13 |
Characterizing COVID-19 and Influenza Illnesses in the Real World via Person-Generated Health Data |
Allison Shapiro, Nicole Marinsek, Ieuan Clay, Ben Bradshaw, Ernesto Ramirez, Jae Min, Andrew Trister, Yuedong Wang, Tim Althoff, Luca Foschini |
| 31 |
[GO] |
2020―Dec―12 |
A Learning-Based Model to Evaluate Hospitalization Priority in COVID-19 Pandemics |
Yichao Zheng, Yinheng Zhu, Mengqi Ji, Rongpin Wang, Xinfeng Liu, Mudan Zhang, Jun Liu, Xiaochun Zhang, Choo Hui Qin, Lu Fang, Shaohua Ma |
| 32 |
[GO] |
2020―Nov―17 |
A Machine Learning-Aided Global Diagnostic and Comparative Tool to Assess Effect of Quarantine Control in COVID-19 Spread |
Raj Dandekar, Chris Rackauckas, George Barbastathis |
| 33 |
[GO] |
2020―Nov―13 |
The Pandemic Lens: Focusing across Time Scales for Local-Global Sustainability |
Paul Arthur Berkman |
| 34 |
[GO] |
2020―Nov―09 |
KG-COVID-19: a framework to produce customized knowledge graphs for COVID-19 response |
Justin T. Reese, Deepak Unni, Tiffany J. Callahan, Luca Cappelletti, Vida Ravanmehr, Seth Carbon, Kent A. Shefchek, Benjamin M. Good, James P. Balhoff, Tommaso Fontana, Hannah Blau, Nicolas Matentzoglu, Nomi L. Harris, Monica C. Munoz-Torres, Melissa A. Haendel, Peter N. Robinson, Marcin P. Joachimiak, Christopher J. Mungall |
| 35 |
[GO] |
2020―Oct―09 |
High Tech, High Risk: Tech Ethics Lessons for the COVID-19 Pandemic Response |
Emanuel Moss, Jacob Metcalf |
| 36 |
[GO] |
2020―Sep―16 |
Machine Learning Maps Research Needs in COVID-19 Literature |
Anhvinh Doanvo, Xiaolu Qian, Divya Ramjee, Helen Piontkivska, Angel Desai, Maimuna Majumder |
| 37 |
[GO] |
2020―Aug―14 |
Data Sharing in a Time of Pandemic |
Sarah Callaghan |
| 38 |
[GO] |
2020―Aug―03 |
A Learning-based Model to Evaluate Hospitalization Priority in COVID-19 Pandemics |
Yichao Zheng, Yinheng Zhu, Mengqi Ji, Rongpin Wang, Xinfeng Liu, Mudan Zhang, Choo Hui Qin, Lu Fang, Shaohua Ma |
| 39 |
[GO] |
2020―Jul―25 |
The COVID-19 Drug and Gene Set Library |
Maxim V. Kuleshov, Daniel J. Stein, Daniel J.B. Clarke, Eryk Kropiwnicki, Kathleen M. Jagodnik, Alon Bartal, John E. Evangelista, Jason Hom, Minxuan Cheng, Allison Bailey, Abigail Zhou, Laura B. Ferguson, Alexander Lachmann, Avi Ma’ayan |
| 40 |
[GO] |
2020―Jul―10 |
Do We Need a Coronavirus (Safeguards) Act 2020? Proposed Legal Safeguards for Digital Contact Tracing and Other Apps in the COVID-19 Crisis |
Tessa Darbyshire |
| 41 |
[GO] |
2020―Jul―04 |
Machine Learning Approaches in COVID-19 Survival Analysis and Discharge Time Likelihood Prediction using Clinical Data |
Mohammadreza Nemati, Jamal Ansary, Nazafarin Nemati |
| 42 |
[GO] |
2020―Jun―16 |
The Discomfort of Death Counts: Mourning through the distorted lens of reported COVID-19 death data |
Deborah Raji |
| 43 |
[GO] |
2020―Apr―07 |
COVID-19 Is a Data Science Issue |
Sarah Callaghan |
| 44 |
[GO] |
2020―Mar―26 |
A Primer on Biodefense Data Science for Pandemic Preparedness |
Eric Perakslis |
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