Epidemic versus economic performances of the COVID-19 lockdown: A big data driven analysis

H Zhang, P Li, Z Zhang, W Li, J Chen, X Song… - Cities, 2022 - Elsevier
Lockdown measures have been a “panacea” for pandemic control but also a violent “poison”
for economies. Lockdown policies strongly restrict human mobility but mobility reduce does …

A survey of visual analytics in urban area

Z Feng, H Qu, SH Yang, Y Ding, J Song - Expert Systems, 2022 - Wiley Online Library
Nowadays, the population has been overgrowing due to urbanization, yielding many severe
problems in the urban area, including traffic congestion, unbalanced distribution of urban …

The 1st ACM sigspatial international workshop on modeling and understanding the spread of covid-19

T Anderson, J Yu, A Züfle - SIGSPATIAL Special, 2021 - dl.acm.org
In response to the COVID-19 pandemic, a number of spatially-explicit models have been
developed to better explain the pathways of the disease, to predict the trajectory of the …

Using mobile network data to color epidemic risk maps

E Cabana, A Lutu, E Frias-Martinez… - Proceedings of the 3rd …, 2022 - dl.acm.org
In this paper we propose a method for using mobile network data to detect potential COVID-
19 hospitalizations and derive corresponding epidemic risk maps. We apply our methods to …

Introduction to the special issue on understanding the spread of COVID-19, part 1

A Züfle, T Anderson, S Gao - ACM Transactions on Spatial Algorithms …, 2022 - dl.acm.org
Infectious diseases are transmitted between human hosts when in close contact over space
and time. Recently, an unprecedented amount of spatial and spatiotemporal data have been …

Introduction to this special issue: Modeling and understanding the spread of COVID-19: (part II)

A Züfle, T Anderson - SIGSPATIAL Special, 2020 - dl.acm.org
Introduction to this special issue: Modeling and understanding the spread of COVID-19: (part
II) Page 1 Introduction to this Special Issue: Modeling and Understanding the Spread of …

[PDF][PDF] Introduction to the special issue on understanding the spread of Covid-19, part 2

Z Andreas, S Gao, T Anderson - ACM Transactions on Spatial …, 2022 - scholar.archive.org
Welcome to the second of two volumes of the ACM Transactions on Spatial Algorithms and
Systems's special issue on łUnderstanding the Spread of COVID-19. ž This volume presents …

A geometry-driven neural topic model for trip purpose inference

J Zhang, Z Fan, X Song, R Shibasaki - GeoInformatica, 2024 - Springer
Understanding urban human mobility, particularly trip purposes, is essential for optimizing
traffic management, personalized recommendations, and urban planning. However, in real …

SpatialEpi'2022 Workshop Report: The 3rd ACM SIGSPATIAL International Workshop on Spatial Computing for Epidemiology

T Anderson, JS Kim, A Roess, A Züfle - SIGSPATIAL Special, 2023 - dl.acm.org
Since the onset of the COVID-19 pandemic, researchers in the SIGSPATIAL community
have utilized computational solutions to better explain, predict, and respond to infectious …

Kajian Sistem Deteksi Dini pada saat Pandemi COVID-19

N Setyasaputra - Jurnal Sistem Cerdas, 2021 - apic.id
One of the increasing cases of COVID-19 is due to the large crowd. The crowd that occurred
during the last quarter of 2020 occurred as a result of the easing of the PSBB to revive the …