output
20172022
most citedHospitalisation risk for COVID-19 patients infected with SARS-CoV-2 variant B.1.1.7: cohort analysis

107 citations

8 papers

econ.GN202213 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…

physics.med-ph20219 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-ph202112 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.AP2021107 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.AP202027 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.PE202060 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…