Spatial-Temporal Relationship Between Population Mobility and COVID-19 Outbreaks in South Carolina: Time Series Forecasting Analysis

The characteristics of multi-source mobility datasets and how they reveal the luxury nature of social distancing in the U.S. during the COVID-19 pandemic

(2021) Xiao Huang et al.   International Journal of Digital Earth

Short-Range Forecasting of COVID-19 During Early Onset at County, Health District, and State Geographic Levels Using Seven Methods: Comparative Forecasting Study

(2021) Christopher J Lynch et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Aggregated mobility data could help fight COVID-19

(2020) Caroline O. Buckee et al.   SCIENCE

Use of Twitter social media activity as a proxy for human mobility to predict the spatiotemporal spread of COVID-19 at global scale

(2020) Donal Bisanzio et al.   Geospatial Health

Association between mobility patterns and COVID-19 transmission in the USA: a mathematical modelling study

(2020) Hamada S Badr et al.   LANCET INFECTIOUS DISEASES

Taking the pulse of COVID-19: a spatiotemporal perspective

(2020) Chaowei Yang et al.   International Journal of Digital Earth

Associations between phone mobility data and COVID-19 cases

(2020) Oliver Gatalo et al.   LANCET INFECTIOUS DISEASES

Modeling COVID-19 scenarios for the United States

(2020)   NATURE MEDICINE

Mobile device data reveal the dynamics in a positive relationship between human mobility and COVID-19 infections

(2020) Chenfeng Xiong et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Misconceptions about weather and seasonality must not misguide COVID-19 response

(2020) Colin J. Carlson et al.   Nature Communications

Changing travel patterns in China during the early stages of the COVID-19 pandemic

(2020) Hamish Gibbs et al.   Nature Communications

Count regression models for COVID-19

(2020) Stephen Chan et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

tscount: An R Package for Analysis of Count Time Series Following Generalized Linear Models

(2017) Tobias Liboschik et al.   Journal of Statistical Software