Estimating the contribution of setting-specific contacts to SARS-CoV-2 transmission using digital contact tracing data

Z Wang, P Yang, R Wang, L Ferretti, L Zhao… - Nature …, 2024 - nature.com
While many countries employed digital contact tracing to contain the spread of SARS-CoV-2,
the contribution of cospace-time interaction (ie, individuals who shared the same space and …

Measuring Chinese mobility behaviour during COVID-19 using geotagged social media data

K Zhu, Z Cheng, J Wang - Humanities and Social Sciences …, 2024 - nature.com
COVID-19 caused widespread disruption to normal lives and human activities. In China, the
mobility behaviour response to the COVID-19 pandemic at the intra-city and population …

Epidemic spreading on spatial higher-order network

W Gu, Y Qiu, W Li, Z Zhang, X Liu, Y Song… - … Journal of Nonlinear …, 2024 - pubs.aip.org
Higher-order interactions exist widely in mobile populations and are extremely important in
spreading epidemics, such as influenza. However, research on high-order interaction …

[HTML][HTML] Evaluating Policy Shifts on Perceived Greenspace Quality: Applying Regression Discontinuity During the COVID-19 Reopening Period

C Lin, C Jia, B Wang, S Kang, H Chen, D Li, L Wu - Land, 2024 - mdpi.com
Urban greenspaces have been essential in supporting residents' well-being during the
COVID-19 pandemic, particularly under strict lockdown measures. However, the impact of …

Strong long ties facilitate epidemic containment on mobility networks

J Mou, S Tan, J Zhang, B Sai, M Wang, B Dai… - PNAS …, 2024 - academic.oup.com
The analysis of connection strengths and distances in the mobility network is pivotal for
delineating critical pathways, particularly in the context of epidemic propagation. Local …

Behavior-driven forecasts of neighborhood-level COVID-19 spread in New York City

R Zhang, J Tai, Q Yao, W Yang, K Ruggeri, J Shaman… - medRxiv, 2024 - medrxiv.org
The COVID-19 pandemic in New York City (NYC) was characterized by marked disparities
in disease burdens across neighborhoods. Accurate neighborhood-level forecasts are …

[HTML][HTML] Nonrepresentativeness of Human Mobility Data and its Impact on Modeling Dynamics of the COVID-19 Pandemic: Systematic Evaluation

C Liu, P Holme, S Lehmann, W Yang… - JMIR Formative …, 2024 - formative.jmir.org
Background In recent years, a range of novel smartphone-derived data streams about
human mobility have become available on a near–real-time basis. These data have been …