Spatiotemporal prediction of COVID-19 cases using inter-and intra-county proxies of human interactions
Measurements of human interaction through proxies such as social connectedness or
movement patterns have proved useful for predictive modeling of COVID-19, which is a …
movement patterns have proved useful for predictive modeling of COVID-19, which is a …
Multiwave covid-19 prediction from social awareness using web search and mobility data
Recurring outbreaks of COVID-19 have posed enduring effects on global society, which
calls for a predictor of pandemic waves using various data with early availability. Existing …
calls for a predictor of pandemic waves using various data with early availability. Existing …
Modeling and analysis of COVID-19 new deaths using tree-based ensemble
The COVID-19 pandemic has emerged as the world's most serious health crisis, affecting
millions of people all over the world. The majority of nations have imposed nationwide …
millions of people all over the world. The majority of nations have imposed nationwide …
[HTML][HTML] Predicting county-level COVID-19 cases using spatiotemporal machine learning: Modeling human interactions using social media and cell-phone data
B Vahedi, M Karimzadeh, H Zoraghein - 2021 - europepmc.org
Measurements of human interaction through proxies such as social connectedness or
movement patterns have proved useful for predictive modeling of COVID-19. In this study …
movement patterns have proved useful for predictive modeling of COVID-19. In this study …
Incorporating Scale and Uncertainty in Geospatial Artificial Intelligence
BV Torghabeh - 2024 - search.proquest.com
Abstract Despite its advancements, Geospatial Artificial Intelligence (Geospatial AI)
continues to face challenges that limit its full potential. This dissertation investigates three of …
continues to face challenges that limit its full potential. This dissertation investigates three of …
Multiwave COVID-19 Prediction via Social Awareness-Based Graph Neural Networks using Mobility and Web Search Data
Recurring outbreaks of COVID-19 have posed enduring effects on global society, which
calls for a predictor of pandemic waves using various data with early availability. Existing …
calls for a predictor of pandemic waves using various data with early availability. Existing …
Role of Machine Learning in Handling the COVID-19 Pandemic
Since its appearance in late 2019, Severe Acute Respiratory Syndrome Coronavirus 2
(SARS-CoV-2) has become a significant threat to human health and public safety. Machine …
(SARS-CoV-2) has become a significant threat to human health and public safety. Machine …
County-Specific, Real-Time Projection of the Effect of Business Closures on the COVID-19 Pandemic
D Yurk, Y Abu-Mostafa - medRxiv, 2021 - medrxiv.org
Public health policies such as business closures have been one of our most effective tools in
slowing the spread of COVID-19, but they also impose costs. This has created demand from …
slowing the spread of COVID-19, but they also impose costs. This has created demand from …