Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2023Understanding the leading indicators of hospital admissions from COVID-19 across successive waves in the UK11citations
  • 2021Growth, reproduction numbers and factors affecting the spread of SARS-CoV-2 novel variants of concern in the UK from October 2020 to July 2021: a modelling analysis25citations
  • 2016Fast femtosecond laser ablation for efficient cutting of sintered alumina substrates30citations

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Chart of shared publication
Baird, Tarrion
1 / 1 shared
Baxter, James
1 / 1 shared
Fyles, Martyn
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Overton, Christopher E.
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Mellor, Jonathon
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Chawner, Liam
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Hall, Ian
1 / 1 shared
Xu, Feng
1 / 7 shared
Pellis, Lorenzo
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Glaser, Alex
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Johnsen, Alexander
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Oosterbeek, Reece N.
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Simpson, M. Cather
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Ashforth, Simon
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Bodley, Owen
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2023
2021
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Co-Authors (by relevance)

  • Baird, Tarrion
  • Baxter, James
  • Fyles, Martyn
  • Overton, Christopher E.
  • Mellor, Jonathon
  • Chawner, Liam
  • Hall, Ian
  • Xu, Feng
  • Pellis, Lorenzo
  • Glaser, Alex
  • Johnsen, Alexander
  • Oosterbeek, Reece N.
  • Simpson, M. Cather
  • Ashforth, Simon
  • Bodley, Owen
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article

Growth, reproduction numbers and factors affecting the spread of SARS-CoV-2 novel variants of concern in the UK from October 2020 to July 2021: a modelling analysis

  • Hall, Ian
  • Ward, Thomas
  • Xu, Feng
  • Pellis, Lorenzo
  • Glaser, Alex
  • Johnsen, Alexander
Abstract

<p>Objectives Importations of novel variants of concern (VOC), particularly B.1.617.2, have become the impetus behind recent outbreaks of SARS-CoV-2. Concerns around the impact on vaccine effectiveness, transmissibility and severity are now driving the public health response to these variants. This paper analyses the patterns of growth in hospitalisations and confirmed cases for novel VOCs by age groups, geography and ethnicity in the context of changing behaviour, non-pharmaceutical interventions (NPIs) and the UK vaccination programme. We seek to highlight where strategies have been effective and periods that have facilitated the establishment of new variants. Design We have algorithmically linked the most complete testing and hospitalisation data in England to create a data set of confirmed infections and hospitalisations by SARSCoV-2 genomic variant. We have used these linked data sets to analyse temporal, geographic and demographic distinctions. Setting and participants The setting is England from October 2020 to July 2021. Participants included all COVID-19 tests that included RT-PCR CT gene target data or underwent sequencing and hospitalisations that could be linked to these tests. Methods To calculate the instantaneous growth rate for VOCs we have developed a generalised additive model fit to multiple splines and varying day of the week effects. We have further modelled the instantaneous reproduction number R<sub>t</sub> for the B.1.1.7 and B.1.617.2 variants and included a doubly interval censored model to temporally adjust the confirmed variant cases. Results We observed a clear replacement of the predominant B.1.1.7 by the B.1.617.2 variant without observing sustained exponential growth in other novel variants. Modelled exponential growth of RT PCR gene target triple-positive cases was initially detected in the youngest age groups, although we now observe across all ages a very small doubling time of 10.7 (95% CI 9.1 to 13.2) days and 8 (95% CI 6.9 to 9.1) days for cases and hospitalisations, respectively. We observe that growth in RT PCR gene target triple-positive cases was first detected in the Indian ethnicity group in late February, with a peak of 0.06 (95% CI 0.07 to 0.05) in the instantaneous growth rate, but is now maintained by the white ethnicity groups, observing a doubling time of 6.8 (95% CI 4.9 to 11) days. R<sub>t</sub> analysis indicates a reproduction number advantage of 0.45 for B.1.617.2 relative to B.1.1.7, with the R<sub>t</sub> value peaking at 1.85 for B.1.617.2. Conclusions Our results illustrate a clear transmission advantage for the B.1.617.2 variant and the growth in hospitalisations illustrates that this variant is able to maintain exponential growth within age groups that are largely doubly vaccinated. There are concerning signs of intermittent growth in the B.1.351 variant, reaching a 28-day doubling time peak in March 2021, although this variant is presently not showing any evidence of a transmission advantage over B.1.617.2. Step 1b of the UK national lockdown easing was sufficient to precipitate exponential growth in B.1.617.2 cases for most regions and younger adult age groups. The final stages of NPI easing appeared to have a negligible impact on the growth of B.1.617.2 with every region experiencing sustained exponential growth from step 2. Nonetheless, early targeted local NPIs appeared to markedly reduced growth of B.1.617.2. Later localised interventions, at a time of higher prevalence and greater geographic dispersion of this variant, appeared to have a negligible impact on growth.</p>

Topics
  • impedance spectroscopy
  • dispersion
  • precipitate
  • chemical ionisation