Progress in understanding human-COVID-19 dynamics using geospatial big data: a systematic review
The COVID-19 pandemic has dramatically changed human daily life. To mitigate the
pandemic's impacts, different countries and regions implemented various policies to contain …
pandemic's impacts, different countries and regions implemented various policies to contain …
The apple mobility trends data in human mobility patterns during restrictions and prediction of covid-19: a systematic review and meta-analysis
A Strzelecki - Healthcare, 2022 - mdpi.com
The objective of this systematic review with PRISMA guidelines is to discover how
population movement information has epidemiological implications for the spread of COVID …
population movement information has epidemiological implications for the spread of COVID …
An open repository of real-time COVID-19 indicators
A Reinhart, L Brooks, M Jahja… - Proceedings of the …, 2021 - National Acad Sciences
The COVID-19 pandemic presented enormous data challenges in the United States. Policy
makers, epidemiological modelers, and health researchers all require up-to-date data on the …
makers, epidemiological modelers, and health researchers all require up-to-date data on the …
Impacts of human mobility on the citywide transmission dynamics of 18 respiratory viruses in pre-and post-COVID-19 pandemic years
AC Perofsky, CL Hansen, R Burstein, S Boyle… - Nature …, 2024 - nature.com
Many studies have used mobile device location data to model SARS-CoV-2 dynamics, yet
relationships between mobility behavior and endemic respiratory pathogens are less …
relationships between mobility behavior and endemic respiratory pathogens are less …
Mobility was a significant determinant of reported COVID-19 incidence during the Omicron Surge in the most populous US Counties
JE Harris - BMC Infectious Diseases, 2022 - Springer
Background Significant immune escape by the Omicron variant, along with the emergence
of widespread worry fatigue, have called into question the robustness of the previously …
of widespread worry fatigue, have called into question the robustness of the previously …
The limits of human mobility traces to predict the spread of COVID-19: A transfer entropy approach
Mobile phone data have been widely used to model the spread of COVID-19; however,
quantifying and comparing their predictive value across different settings is challenging …
quantifying and comparing their predictive value across different settings is challenging …
Effects of non-compulsory and mandatory COVID-19 interventions on travel distance and time away from home, Norway, 2021
Background Given the societal, economic and health costs of COVID-19 non-
pharmaceutical interventions (NPI), it is important to assess their effects. Human mobility …
pharmaceutical interventions (NPI), it is important to assess their effects. Human mobility …
Multi-Scale Simulation of Complex Systems: A Perspective of Integrating Knowledge and Data
Complex system simulation has been playing an irreplaceable role in understanding,
predicting, and controlling diverse complex systems. In the past few decades, the multi-scale …
predicting, and controlling diverse complex systems. In the past few decades, the multi-scale …
Unraveling the role of adapting risk perception during the COVID-19 pandemic in Europe
B Heinlein, M De Domenico - Chaos, Solitons & Fractals, 2023 - Elsevier
During the COVID-19 pandemic, the behavioral response to reported case numbers
changed drastically over time. While a few dozen cases were enough to trigger government …
changed drastically over time. While a few dozen cases were enough to trigger government …
Translational bioinformatics to enable precision medicine for all: elevating equity across molecular, clinical, and digital realms
Objectives: Over the past few years, challenges from the pandemic have led to an explosion
of data sharing and algorithmic development efforts in the areas of molecular …
of data sharing and algorithmic development efforts in the areas of molecular …