Search Results - "Allen, Andrea J"
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A machine learning-based phenotype for long COVID in children: An EHR-based study from the RECOVER program
Published in PloS one (10-08-2023)“…As clinical understanding of pediatric Post-Acute Sequelae of SARS CoV-2 (PASC) develops, and hence the clinical definition evolves, it is desirable to have a…”
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Compressing the Chronology of a Temporal Network with Graph Commutators
Published in Physical review letters (16-02-2024)“…Studies of dynamics on temporal networks often represent the network as a series of "snapshots," static networks active for short durations of time. We argue…”
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Temporal and Probabilistic Comparisons of Epidemic Interventions
Published in Bulletin of mathematical biology (01-12-2023)“…Forecasting disease spread is a critical tool to help public health officials design and plan public health interventions. However, the expected future state…”
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Vaccine Effectiveness Against Long COVID in Children
Published in Pediatrics (Evanston) (01-04-2024)“…Vaccination reduces the risk of acute COVID-19 in children, but it is less clear whether it protects against long COVID. We estimated vaccine effectiveness…”
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Predicting the diversity of early epidemic spread on networks
Published in Physical review research (01-02-2022)“…The interplay of biological, social, structural, and random factors makes disease forecasting extraordinarily complex. The course of an epidemic exhibits…”
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457. Temporal Evolution of Subphenotypes of Pediatric PASC: An EHR-Based Retrospective Cohort Study from the RECOVER Program
Published in Open forum infectious diseases (27-11-2023)“…Abstract Background The post-acute sequelae of SARS-CoV-2 (PASC), has been associated with a wide variety of presentations in children. As the pandemic has…”
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1362. Pediatric long COVID subphenotypes: an EHR-based study from the RECOVER program
Published in Open forum infectious diseases (27-11-2023)“…Abstract Background Post-acute sequelae of COVID-19 (PASC, or long COVID) has been associated with a wide variety of symptoms, conditions, and body systems;…”
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Compressing the chronology of a temporal network with graph commutators
Published 29-03-2024“…Phys. Rev. Lett. 132, 077402 (2024) Studies of dynamics on temporal networks often represent the network as a series of "snapshots," static networks active for…”
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Temporal and probabilistic comparisons of epidemic interventions
Published 18-01-2024“…Bull. of Math. Biol. 85(2023)118 Forecasting disease spread is a critical tool to help public health officials design and plan public health…”
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Predicting the diversity of early epidemic spread on networks
Published 23-02-2022“…Phys. Rev. Research 4, 013123 (2022) The interplay of biological, social, structural and random factors makes disease forecasting extraordinarily complex. The…”
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