Given still-high levels of coronavirus disease 2019 (COVID-19) susceptibility and
inconsistent transmission-containing strategies, outbreaks have continued to emerge across …

SARS-CoV2 spread is hard to control, as asymptomatic people contribute to transmission.
Currently, Covid-19 mitigation imposes social distancing and isolates the diseased. This …

Mobility is an indicator of human movement through space and time. With the increasing
availability of geolocated data (from GPS, accelerometers, etc.), it is now possible to …

Background Low infection and case-fatality rates have been thus far observed in Taiwan.
One of the reasons for this major success is better use of big data analytics in efficient …

The wide adoption of mobile devices has created unprecedented opportunities to collect
mobility traces and make them available for the research community to conduct …

This document describes the aggregation and anonymization process applied to the initial
version of Google COVID-19 Community Mobility Reports (published at http://google …

Various studies demonstrate that data on mobile phone use are useful when analysing
problems in the fields of human activity or population dynamics, including tourism …

COVID-19 reaffirms the vital role of superspreaders in a pandemic. We propose to broaden
the research on superspreaders through integrating human mobility data and geographical …

Effectively predicting the evolution of COVID-19 is of great significance to contain the
pandemic. Extensive previous studies proposed a great number of SIR variants, which are …

Background As many countries seek to slow the spread of COVID-19 without reimposing
national restrictions, it has become important to track the disease at a local level to identify …