Conference/ Journal Publications

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1) A. Chharia, G. Jeevan, R. A. Jha, M. Liu, J. Berman, and C. Glorioso. “Accuracy of US CDC COVID-19 Forecasting Models.” Frontiers in Public Health (2024). DOI: 10.3389/fpubh.2024.1359368

2) S. Natraj, M. Bhide, N. Yap, M. Liu, A. Seth, J. Berman, and C. Glorioso. “COVID-19 activity risk calculator as a gamified public health intervention tool.” Nature Scientific Reports (2023). DOI: 10.1038/s41598-023-40338-8

3) J. Rufino, C. Baquero, D. Frey, C. Glorioso, A. Ortega, N. Reščič, J. Charles Roberts, R. E. Lillo, R. Menezes, J. Prakash Champati & A. Fernández Anta. “Using survey data to estimate the impact of the omicron variant on vaccine efficacy against COVID-19 infection”. Nature Scientific Reports (2023). DOI: 10.1038/s41598-023-27951-3

4) J. Álvarez, C. Baquero, E. Cabana, J. Prakash Champati, A. Fernández Anta, D. Frey, A. García-Agúndez, C. Georgiou, M. Goessens, H. Hernández, R. Lillo, R. Menezes, R. Moreno, N. Nicolaou, O. Ojo, A. Ortega, J. Rufino, E. Stavrakis, G. Jeevan, and C. Glorioso. “Estimating Active Cases of COVID-19”. ACM SIGKDD Conference on Knowledge Discovery & Data Mining: Data-driven Humanitarian Mapping (2021). DOI: 10.1101/2021.12.09.21267355

Preprints

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1) R. Jain, U. Gupta, S. TV, R. Sukumaran, and C. Glorioso. “Analysis of Tata-1mg data for Covid-19 2nd wave prediction in India.” arXiv (2021). DOI: 10.13140/RG.2.2.17341.18407

2) P. Nandakishore, M. Liu, Prakash R., S. Gourneni, R. Sukumaran, J. Berman, S. Iyer, and C. Glorioso. “Deviations in Predicted COVID-19 cases in the US during early months of 2021 relate to rise in B.1.526 and its family of variants”. medRxiv (2021). DOI: 10.1101/2021.12.06.21267388

Impact

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Our study on the Accuracy of US CDC COVID-19 forecasting models inspired below news articles: