output
20142022
most citedTracking COVID-19 using online search

169 citations

16 papers

econ.GN2022★ 13 cited

Data needs for integrated economic-epidemiological models of pandemic mitigation policies

David J. Haw, Christian Morgenstern, Giovanni Forchini +4

The COVID-19 pandemic and the mitigation policies implemented in response to it have resulted in economic losses worldwide. Attempts to understand the relationship between economic…

stat.ME2022★ 23 cited

A comparison of two frameworks for multi-state modelling, applied to outcomes after hospital admissions with COVID-19

Christopher Jackson, Brian Tom, Peter Kirwan +5

We compare two multi-state modelling frameworks that can be used to represent dates of events following hospital admission for people infected during an epidemic. The methods are a…

q-bio.PE2022★ 10 cited

Novel methods for estimating the instantaneous and overall COVID-19 case fatality risk among care home residents in England

Christopher E. Overton, Luke Webb, Uma Datta +10

The COVID-19 pandemic has had high mortality rates in the elderly and frail worldwide, particularly in care homes. This is driven by the difficulty of isolating care homes from the…

physics.med-ph2021★ 9 cited

Monte Carlo calculation of organ and effective dose rates from ground contaminated by Am 241: Results of an international intercomparison exercise

J Eakins, C Huet, H Brkić +12

An intercomparison exercise is described that examines Monte Carlo modelling of anthropomorphic voxel phantoms in an idealized ground-contamination photon exposure scenario. Thirte…

physics.med-ph2021★ 12 cited

EURADOS Intercomparison on the Usage of the ICRP/ICRU Adult Reference Computational Phantoms

Maria Zankl, Jonathan Eakins, Jose-Maria Gomez Ros +6

The European Radiation Dosimetry Group, EURADOS, has organised an intercomparison study on the usage of the ICRP/ICRU voxel reference computational phantoms together with radiation…

stat.AP2021★ 107 cited

Hospitalisation risk for COVID-19 patients infected with SARS-CoV-2 variant B.1.1.7: cohort analysis

Tommy Nyberg, Katherine A. Twohig, Ross J. Harris +7

Objective: To evaluate the relationship between coronavirus disease 2019 (COVID-19) diagnosis with SARS-CoV-2 variant B.1.1.7 (also known as Variant of Concern 202012/01) and the r…

stat.AP2020★ 27 cited

A joint bayesian space-time model to integrate spatially misaligned air pollution data in R-INLA

Chiara Forlani, Samir Bhatt, Michela Cameletti +2

In air pollution studies, dispersion models provide estimates of concentration at grid level covering the entire spatial domain, and are then calibrated against measurements from m…

q-bio.PE2020★ 58 cited

Shut and re-open: the role of schools in the spread of COVID-19 in Europe

Helena B. Stage, Joseph Shingleton, Sanmitra Ghosh +3

We investigate the effect of school closure and subsequent reopening on the transmission of COVID-19, by considering Denmark, Norway, Sweden, and German states as case studies. By…

q-bio.PE2020★ 60 cited

Using statistics and mathematical modelling to understand infectious disease outbreaks: COVID-19 as an example

Christopher E. Overton, Helena B. Stage, Shazaad Ahmad +16

During an infectious disease outbreak, biases in the data and complexities of the underlying dynamics pose significant challenges in mathematically modelling the outbreak and desig…

cs.SI2020★ 169 cited

Tracking COVID-19 using online search

Vasileios Lampos, Maimuna S. Majumder, Elad Yom-Tov +6

Previous research has demonstrated that various properties of infectious diseases can be inferred from online search behaviour. In this work we use time series of online search que…

q-bio.CB2018★ 1 cited

A mathematical study of CD8+ T cell responses calibrated with human data

John Paul Gosling, Sheeja M. Krishnan, Grant Lythe +3

Complete understanding of the mechanisms regulating the proliferation and differentiation that takes place during human immune CD8+ T cell responses is still lacking. Human clinica…

physics.bio-ph2017★ 29 cited

Label-free optical vibrational spectroscopy to detect the metabolic state of M. tuberculosis cells at the site of disease

Vincent O. Baron, Mingzhou Chen, Simon O. Clark +4

Tuberculosis relapse is a barrier to shorter treatment. It is thought that lipid rich cells, phenotypically resistant to antibiotics, may play a major role. Most studies investigat…

stat.AP2017

Exploiting routinely collected severe case data to monitor and predict influenza outbreaks

Alice Corbella, Xu-Sheng Zhang, Paul J. Birrell +4

Influenza remains a significant burden on health systems. Effective responses rely on the timely understanding of the magnitude and the evolution of an outbreak. For monitoring pur…

q-bio.MN2016★ 3 cited

A pathway-based network analysis of hypertension-related genes

Huan Wang, Jing-Bo Hu, Chuan-Yun Xu +5

Complex network approach has become an effective way to describe interrelationships among large amounts of biological data, which is especially useful in finding core functions and…

q-bio.GN2015

Identifying lineage effects when controlling for population structure improves power in bacterial association studies

Sarah G Earle, Chieh-Hsi Wu, Jane Charlesworth +16

Bacteria pose unique challenges for genome-wide association studies (GWAS) because of strong structuring into distinct strains and substantial linkage disequilibrium across the gen…

stat.AP2014★ 62 cited

Reconstructing transmission trees for communicable diseases using densely sampled genetic data

Colin J. Worby, Philip D. O'Neill, Theodore Kypraios +5

Whole genome sequencing of pathogens from multiple hosts in an epidemic offers the potential to investigate who infected whom with unparalleled resolution, potentially yielding imp…