Literature DB >> 34630748

Forecasts of Covid-19 evolution by nearest epidemic trajectories detection.

Tomasz M Rusin1.   

Abstract

Robust method of short-term forecast of Covid-19 epidemic in small administrative units (districts) is proposed. By identifying similar sections of epidemic evolutions in the past it is possible to obtain short-term forecast of epidemic in given district. Examples of one and two-weeks forecasts for three cities in Poland during third epidemic wave (March and April 2021) are shown. Difference between epidemic evolutions in third wave and previous waves caused by Covid B.1.1.7 UK variant is observed. Proposed algorithm allows one to manage epidemic locally by entering or releasing anti-Covid restrictions in groups of small administrative units.
© 2021 The Author(s). Published by Elsevier B.V.

Entities:  

Keywords:  Covid-19; Distance between trajectories; Epidemic forecast; Short-time forecast

Year:  2021        PMID: 34630748      PMCID: PMC8486260          DOI: 10.1016/j.procs.2021.09.102

Source DB:  PubMed          Journal:  Procedia Comput Sci


  3 in total

1.  Dynamic time warping assessment of high-resolution melt curves provides a robust metric for fungal identification.

Authors:  Sha Lu; Gordana Mirchevska; Sayali S Phatak; Dongmei Li; Janos Luka; Richard A Calderone; William A Fonzi
Journal:  PLoS One       Date:  2017-03-06       Impact factor: 3.240

2.  The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances.

Authors:  Anthony Bagnall; Jason Lines; Aaron Bostrom; James Large; Eamonn Keogh
Journal:  Data Min Knowl Discov       Date:  2016-11-23       Impact factor: 3.670

3.  Solvable delay model for epidemic spreading: the case of Covid-19 in Italy.

Authors:  Luca Dell'Anna
Journal:  Sci Rep       Date:  2020-09-25       Impact factor: 4.379

  3 in total
  1 in total

1.  Architectural Aspects of a Data-Intensive System: A Covid-19 Related Case Study.

Authors:  Piotr Dunin-Kȩplicz; Michał Iwański; Marek Niezgódka; Piotr Wiśniewski
Journal:  Procedia Comput Sci       Date:  2021-10-01
  1 in total

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