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Bayesian Inference of Phylogenetic Distances: Revisiting the Eigenvalue Approach
Abstract Using genetic data to infer evolutionary distances between molecular sequence pairs based on a Markov substitution model is a …
Matthew J. Penn
,
Neil Scheidwasser
,
Christl Ann Donnelly
,
David Alejandro Duchêne
,
Samir Bhatt
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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
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Preprint
Ethnicity and anthropometric deficits in children: A cross-sectional analysis of national survey data from 18 countries in sub-Saharan Africa
Child anthropometric deficits remain a major public health problem in Sub-Saharan Africa (SSA) and are a key target of the UN …
Lucy S. Tusting
,
Swapnil Mishra
,
Harry S. Gibson
,
Steve W. Lindsay
,
Daniel J. Weiss
,
Seth Flaxman
,
Samir Bhatt
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Estimating the impact of imported malaria on local transmission in a near elimination setting: a case study from Bhutan
Background Bhutan has achieved a substantial reduction in both malaria morbidity and mortality over the last two decades and is aiming …
Kinley Wangdi
,
H. Juliette T. Unwin
,
Kinley Penjor
,
Tsheten Tsheten
,
Tobgyal
,
Archie C. A. Clements
,
Darren James Gray
,
Manas Kotepui
,
Samir Bhatt
,
Peter W. Gething
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Non-pharmaceutical interventions: evaluating challenges and priorities for future health shocks
Non-pharmaceutical interventions implemented during health shocks such as the covid-19 pandemic require rapid, robust, and rigorous …
Azeem Majeed
,
Jennifer Kathleen Quint
,
Samir Bhatt
,
Firoza Davies
,
Nazrul Islam
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Modelling the implementation of narrow versus broader spectrum antibiotics in the empiric treatment of E. coli bacteraemia
The implementation of new antimicrobial resistance stewardship programs is crucial in optimizing antibiotic use. However, prescription …
Mark Khurana
,
Jacob Liam Curran-Sebastian
,
Samir Bhatt
,
Gwenan M. Knight
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SpanSeq: similarity-based sequence data splitting method for improved development and assessment of deep learning projects
Abstract The use of deep learning models in computational biology has increased massively in recent years, and it is expected to …
Alfred Ferrer Florensa
,
José Juan Almagro Armenteros
,
Henrik Nielsen
,
Frank M. Aarestrup
,
Philip T. L. C. Clausen
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Phylo2Vec: A Vector Representation for Binary Trees
Binary phylogenetic trees inferred from biological data are central to understanding the shared history among evolutionary units. …
Matthew J Penn
,
Neil Scheidwasser
,
Mark Khurana
,
David Alejandro Duchêne
,
Christl Ann Donnelly
,
Samir Bhatt
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The interaction of disease transmission, mortality, and economic output over the first 2 years of the COVID-19 pandemic
BACKGROUND: The COVID-19 pandemic has caused over 7.02 million deaths as of January 2024 and profoundly affected most countries’ …
Christian Morgenstern
,
Daniel J. Laydon
,
Charles A. Whittaker
,
Swapnil Mishra
,
David Haw
,
Samir Bhatt
,
Neil M. Ferguson
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Three steps towards comparability and standardization among molecular methods for characterizing insect communities
Molecular methods are currently some of the best-suited technologies for implementation in insect monitoring. However, the field is …
Ela Iwaszkiewicz-Eggebrecht
,
Vera Marie Alida Zizka
,
Christina Islas Lynggaard
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