ArticleNature communications2021
Real-time tracking and prediction of COVID-19 infection using digital proxies of population mobility and mixing.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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Who cites it
41 citing papers in PubMed.
- Evaluating the association between COVID-19 transmission and mobility in omicron outbreaks in China.Communications medicine · 2025Article
- Pilot study: a descriptive-retrospective analysis of SARS-CoV-2 variants distribution and phylogenesis in the Phlegraean area.Frontiers in molecular biosciences · 2025Article
- Continuing to be cautious: Japanese contact patterns during the COVID-19 pandemic and their association with public health recommendations.PLOS global public health · 2025Article
- A self-driven ESN-DSS approach for effective COVID-19 time series prediction and modelling.Epidemiology and infection · 2024Article
- Article
- Generative Bayesian modeling to nowcast the effective reproduction number from line list data with missing symptom onset dates.PLoS computational biology · 2024Article
- Comparison of control and transmission of COVID-19 across epidemic waves in Hong Kong: an observational study.The Lancet regional health. Western Pacific · 2024Article
- Article
- Real-time estimation of the effective reproduction number of COVID-19 from behavioral data.Scientific reports · 2023Article
- COVID-19 case rates, spatial mobility, and neighbourhood socioeconomic characteristics in Toronto: a spatial-temporal analysis.Canadian journal of public health = Revue canadienne de sante publique · 2023Article
- Prehospital Cardiac Arrest Should be Considered When Evaluating Coronavirus Disease 2019 Mortality in the United States.Methods of information in medicine · 2023Article
- Predicting onset risk of COVID-19 symptom to support healthy travel route planning in the new normal of long-term coexistence with SARS-CoV-2.Environment and planning. B, urban analytics and city science · 2023Article
- Exploring Transformer and Graph Convolutional Networks for Human Mobility Modeling.Sensors (Basel, Switzerland) · 2023Article
- Dining-Out Behavior as a Proxy for the Superspreading Potential of SARS-CoV-2 Infections: Modeling Analysis.JMIR public health and surveillance · 2023Article
- A new method for the joint estimation of instantaneous reproductive number and serial interval during epidemics.PLoS computational biology · 2023Article
- TransCode: Uncovering COVID-19 transmission patterns via deep learning.Infectious diseases of poverty · 2023Article
- Article
- A Spatiotemporal Solution to Control COVID-19 Transmission at the Community Scale for Returning to Normalcy: COVID-19 Symptom Onset Risk Spatiotemporal Analysis.JMIR public health and surveillance · 2023Article
- Article
- Modeling mobility, risk, and pandemic severity during the first year of COVID.Socio-economic planning sciences · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Digital proxies of human mobility and physical mixing have been used to monitor viral transmissibility and effectiveness of social distancing interventions in the ongoing COVID-19 pandemic. We develop a new framework that parameterizes disease transmission models with age-specific digital mobility data. By fitting the model to case data in Hong Kong, we are able to accurately track the local effective reproduction number of COVID-19 in near real time (i.e., no longer constrained by the delay of around 9 days between infection and reporting of cases) which is essential for quick assessment of the effectiveness of interventions on reducing transmissibility. Our findings show that accurate nowcast and forecast of COVID-19 epidemics can be obtained by integrating valid digital proxies of physical mixing into conventional epidemic models.
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