Publications

If you are using the WNTRAC dataset for research purposes, please cite our work using the text below.

Suryanarayanan, P., Tsou, CH., Poddar, A. et al. AI-assisted tracking of worldwide non-pharmaceutical interventions for COVID-19. Sci Data 8, 94 (2021). https://doi.org/10.1038/s41597-021-00878-y

Read our latest paper from Nature Scientific Data. Download the citation.

Please refer to our data use policy for license and usage guidelines.

Talks

Other publications

Ozery-Flato, Michal, Ora Pinchasov, Miel Dabush-Kasa, Efrat Hexter, Gabriel Chodick, Michal Guindy, and Michal Rosen-Zvi. "Predictive and Causal Analysis of No-Shows for Medical Exams During COVID-19: A Case Study of Breast Imaging in a Nationwide Israeli Health Organization." medRxiv (2021) and AMIA 2021.
Wen, Zhi, Guido Powell, Imane Chafi, David Buckeridge, and Yue Li. "Inferring global-scale temporal latent topics from news reports to predict public health interventions for COVID-19." medRxiv (2021).
Aisha Walcott, Divya Pathak, and Michal Rosen-Zvi. "AI Data Tracker Encourages Scientific Research into COVID-19 Non-Pharmaceutical Interventions." IBM Research Blog (2020)
Bent, O. E., Wachira, C., Remy, S. L., Ogallo, W., & Walcott-Bryant, A. (2022). A Framework for Inferring Epidemiological Model Parameters using Bayesian Nonparametrics. AMIA ... Annual Symposium proceedings. AMIA Symposium, 2021, 217–226.

Visualizations

Code