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pro vyhledávání: '"Awasthi, Naman"'
The COVID-19 Forecast Hub, a repository of COVID-19 forecasts from over 50 independent research groups, is used by the Centers for Disease Control and Prevention (CDC) for their official COVID-19 communications. As such, the Forecast Hub is a critica
Externí odkaz:
http://arxiv.org/abs/2405.14891
Early in the pandemic, counties and states implemented a variety of non-pharmacological interventions (NPIs) focused on mobility, such as national lockdowns or work-from-home strategies, as it became clear that restricting movement was essential to c
Externí odkaz:
http://arxiv.org/abs/2405.11121
One of the central difficulties of addressing the COVID-19 pandemic has been accurately measuring and predicting the spread of infections. In particular, official COVID-19 case counts in the United States are under counts of actual caseloads due to t
Externí odkaz:
http://arxiv.org/abs/2405.10355
COVID-19 forecasting models have been used to inform decision making around resource allocation and intervention decisions e.g., hospital beds or stay-at-home orders. State of the art deep learning models often use multimodal data such as mobility or
Externí odkaz:
http://arxiv.org/abs/2405.09483
Human mobility data has been extensively used in covid-19 case prediction models. Nevertheless, related work has questioned whether mobility data really helps that much. We present a systematic analysis across mobility datasets and prediction lookahe
Externí odkaz:
http://arxiv.org/abs/2407.10304
Autor:
Guhan, Pooja, Awasthi, Naman, McDonald, and Kathryn, Bussell, Kristin, Manocha, Dinesh, Reeves, Gloria, Bera, Aniket
We discuss MET, a learning-based algorithm proposed for perceiving a patient's level of engagement during telehealth sessions. We leverage latent vectors corresponding to Affective and Cognitive features frequently used in psychology literature to un
Externí odkaz:
http://arxiv.org/abs/2011.08690
Publikováno v:
In Computers, Environment and Urban Systems June 2023 102
Akademický článek
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Autor:
Mohanty, Rajat, Awasthi, Naman, Hosmani, Shrinivas Baburao, Sankaranarayanan, Anju Innaran, Oberoi, Nimish H., Singh, Praveen Kumar, Singh, Nikhil, Patel, Dharati
Publikováno v:
Journal of Contemporary Dental Practice; Jul2023, Vol. 24 Issue 7, p454-458, 5p
Publikováno v:
JMIR Infodemiology; Jan-Dec2023, Vol. 3 Issue 1, p1-16, 16p