Jacob Liam Curran-Sebastian

Large-scale genomic surveillance reveals immunosuppression drives mutation dynamics in persistent SARS-CoV-2 infections

Mark P. Khurana, Alexandros Katsiferis, Neil Scheidwasser, Mathilde Marie Brünnich Sloth et autres

Persistent SARS-CoV-2 infections have been hypothesized to play a key role in the emergence of variants of concern. However, the factors determining which individuals are at risk and their viral molecular signatures during infection remain poorly understood. Using Denmark's extensive COVID-19 surveillance, …

dk, gb, au, us (code pays fourni par la source)

Transmission Networks and Intervention Effects From SARS-CoV-2 Genomic and Social Network Data in Denmark

Jacob Liam Curran-Sebastian, Christian Morgenstern, Jonas L. Juul, Mark Poulsen Khurana et autres

Decision-making by governments during disease outbreaks is increasingly reliant on large-scale pathogen genomics and detailed individual-level data. We use 293,841 SARS-CoV-2 genomes collected in Denmark, between September 1st 2020 and December 31st 2021, and combine these with comprehensive individual-level data on settings, …

dk, gb (code pays fourni par la source)

Probability of extinction and peak time for multi-type epidemics with application to COVID-19 variants of concern

Jacob Liam Curran-Sebastian, Louise Dyson, Edward M. Hill, Ian Hall et autres

During the COVID-19 pandemic, the emergence of novel variants of concern (VoCs) prompted different responses from governments across the world aimed at mitigating the impacts of more transmissible or more harmful strains. We model the invasion of a novel VoC into a …

dk, gb (code pays fourni par la source)

Artificial intelligence for modelling infectious disease epidemics

Moritz U. G. Kraemer, Joseph L.-H. Tsui, Serina Y. Chang, Spyros Lytras et autres

gb, us, jp, dk, Congo, Afrique du Sud, ch, au, de, fr (code pays fourni par la source)

SARS-CoV-2 Reinfections and Subsequent Risk of Hospital-Diagnosed Post-Acute Sequelae: A Nationwide Cohort Study

Mark P. Khurana, Mathilde Marie Brünnich Sloth, Neil Scheidwasser, Jacob Liam Curran-Sebastian et autres

dk, gb, ch, au (code pays fourni par la source)

Modelling the stochastic importation dynamics and establishment of novel pathogenic strains using a general branching processes framework

Jacob Liam Curran-Sebastian, Frederik Mølkjær Andersen, Samir Bhatt

The importation and subsequent establishment of novel pathogenic strains in a population is subject to a large degree of uncertainty due to the stochastic nature of the disease dynamics. Mathematical models need to take this stochasticity in the early phase of an …

dk (code pays fourni par la source)

High-resolution epidemiological landscape from ~290,000 SARS-CoV-2 genomes from Denmark

Mark P. Khurana, Jacob Liam Curran-Sebastian, Neil Scheidwasser, Christian Morgenstern et autres

Vast amounts of pathogen genomic, demographic and spatial data are transforming our understanding of SARS-CoV-2 emergence and spread. We examined the drivers of molecular evolution and spread of 291,791 SARS-CoV-2 genomes from Denmark in 2021. With a sequencing rate consistently exceeding 60%, …

dk, gb, au, ch (code pays fourni par la source)

Modelling the implementation of narrow versus broader spectrum antibiotics in the empiric treatment of E. coli bacteraemia

Mark P. Khurana, Jacob Liam Curran-Sebastian, Samir Bhatt, Gwenan M. Knight

The implementation of new antimicrobial resistance stewardship programs is crucial in optimizing antibiotic use. However, prescription choices can be difficult during empiric therapy; clinicians must balance the survival benefits of broader spectrum antibiotics with associated increases in resistance. The aim of this …

dk, gb (code pays fourni par la source)

Modelling the Stochastic Importation Dynamics and Establishment of Novel Pathogenic Strains using a General Branching Processes Framework

Jacob Liam Curran-Sebastian, Frederik Mølkjær Andersen, Samir Bhatt

The importation and subsequent establishment of novel pathogenic strains in a population is subject to a large degree of uncertainty due to the stochastic nature of the disease dynamics. Mathematical models need to take this stochasticity in the early phase of an …

Calculation of Epidemic First Passage and Peak Time Probability Distributions

Jacob Liam Curran-Sebastian, Lorenzo Pellis, Ian Hall, Thomas House

Abstract. Understanding the timing of the peak of a disease outbreak forms an important part of epidemic forecasting. In many cases, such information is essential for planning increased hospital bed demand and for designing of public health interventions. The time taken for …

dk, gb (code pays fourni par la source)

Modelling the Stochastic Importation Dynamics and Establishment of Novel Pathogenic Strains Using a General Branching Processes Framework

Jacob Liam Curran-Sebastian, Frederik Mølkjær Andersen, Samir Bhatt

dk, gb (code pays fourni par la source)

Probability of Extinction and Peak Time for Multi-Type Epidemics with Application to Covid-19 Variants of Concern

Jacob Liam Curran-Sebastian, Louise Dyson, Edward M. Hill, Lorenzo Pellis et autres

dk, us, gb (code pays fourni par la source)