Back to search

Article

Spatiotemporal variation of COVID-19 case time series in the United Kingdom: a dynamic time warping analysis

2025-10-07

Abstract excerpt

<h4>Background</h4> Analysing the spatiotemporal variation of COVID-19 disease activity can help to identify underlying COVID-19 transmission dynamics and inform the targeting of public health responses. We explored the use of Dynamic Time Warping (DTW), a time series analysis method, to investigate the spatiotemporal variation in COVID-19 disease activity in the United Kingdom (UK) from 1 November 2020 to 19 May...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
8a9101a7-39ad-5094-a9d7-aa58a8eadfc2
DOI
10.1101/2025.10.05.25337392
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Spatiotemporal variation of COVID-19 case time series in the United Kingdom: a dynamic time warping analysisDOI 10.1101/2025.10.05.25337392
Select a neighboring publication to make it the new centre.