Spatiotemporal prediction of COVID-19 cases using inter- and intra-county proxies of human interactions
Journal Article
Overview
publication date
- November 8, 2021
has subject area
- Behavior - Cell Phone Use
- Computing Methodologies - Machine Learning
- Coronavirus Infections - COVID-19
- Environment and Public Health - Models, Statistical
- Environment and Public Health - Spatio-Temporal Analysis
- Epidemiologic Measurements - Population Dynamics
- Forecasting
- Health Care Evaluation Mechanisms - Models, Statistical
- Health Care Evaluation Mechanisms - Spatio-Temporal Analysis
- Humans
- Infections - COVID-19
- Infections - COVID-19
- Investigative Techniques - Models, Statistical
- Investigative Techniques - Spatio-Temporal Analysis
- Lung Diseases - COVID-19
- Mathematical Concepts - Machine Learning
- Models, Theoretical - Models, Statistical
- Population Characteristics - Population Dynamics
- Respiratory Tract Diseases - COVID-19
- Respiratory Tract Diseases - COVID-19
- SARS-CoV-2
- Social Behavior - Cell Phone Use
- Social Sciences - Population Dynamics
- Virus Diseases - COVID-19
has restriction
- gold
Date in CU Experts
- November 9, 2021 3:01 AM
Full Author List
- Vahedi B; Karimzadeh M; Zoraghein H
author count
- 3
citation count
- 10
published in
- Nature Communications Journal
Other Profiles
Electronic International Standard Serial Number (EISSN)
- 2041-1723
Digital Object Identifier (DOI)
Additional Document Info
volume
- 12
issue
- 1
number
- ARTN 6440