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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Materials Map under construction

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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University of Essex

in Cooperation with on an Cooperation-Score of 37%

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Publications (1/1 displayed)

  • 2023Understanding the leading indicators of hospital admissions from COVID-19 across successive waves in the UK11citations

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Chart of shared publication
Baird, Tarrion
1 / 1 shared
Baxter, James
1 / 1 shared
Fyles, Martyn
1 / 1 shared
Overton, Christopher E.
1 / 1 shared
Mellor, Jonathon
1 / 1 shared
Ward, Thomas
1 / 3 shared
Chart of publication period
2023

Co-Authors (by relevance)

  • Baird, Tarrion
  • Baxter, James
  • Fyles, Martyn
  • Overton, Christopher E.
  • Mellor, Jonathon
  • Ward, Thomas
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article

Understanding the leading indicators of hospital admissions from COVID-19 across successive waves in the UK

  • Baird, Tarrion
  • Baxter, James
  • Fyles, Martyn
  • Overton, Christopher E.
  • Mellor, Jonathon
  • Ward, Thomas
  • Chawner, Liam
Abstract

<jats:title>Abstract</jats:title><jats:p>Following the end of universal testing in the UK, hospital admissions are a key measure of COVID-19 pandemic pressure. Understanding leading indicators of admissions at the National Health Service (NHS) Trust, regional and national geographies help health services plan for ongoing pressures. We explored the spatio-temporal relationships of leading indicators of hospitalisations across SARS-CoV-2 waves in England. This analysis includes an evaluation of internet search volumes from Google Trends, NHS triage calls and online queries, the NHS COVID-19 app, lateral flow devices (LFDs), and the ZOE app. Data sources were analysed for their feasibility as leading indicators using Granger causality, cross-correlation, and dynamic time warping at fine spatial scales. Google Trends and NHS triages consistently temporally led admissions in most locations, with lead times ranging from 5 to 20 days, whereas an inconsistent relationship was found for the ZOE app, NHS COVID-19 app, and LFD testing, which diminished with spatial resolution, showing cross-correlation of leads between –7 and 7 days. The results indicate that novel surveillance sources can be used effectively to understand the expected healthcare burden within hospital administrative areas though the temporal and spatial heterogeneity of these relationships is a key determinant of their operational public health utility.</jats:p>

Topics
  • impedance spectroscopy