Literature DB >> 29576516

Contagion! The BBC Four Pandemic - The model behind the documentary.

Petra Klepac1, Stephen Kissler2, Julia Gog3.   

Abstract

To mark the centenary of the 1918 influenza pandemic, the broadcasting network BBC have put together a 75-min documentary called 'Contagion! The BBC Four Pandemic'. Central to the documentary is a nationwide citizen science experiment, during which volunteers in the United Kingdom could download and use a custom mobile phone app called BBC Pandemic, and contribute their movement and contact data for a day. As the 'maths team', we were asked to use the data from the app to build and run a model of how a pandemic would spread in the UK. The headline results are presented in the TV programme. Here, we document in detail how the model works, and how we shaped it according the incredibly rich data coming from the BBC Pandemic app. We have barely scratched the depth of the volunteer data available from the app. The work presented in this article had the sole purpose of generating a single detailed simulation of a pandemic influenza-like outbreak in the UK. When the BBC Pandemic app has completed its collection period, the vast dataset will be made available to the scientific community (expected early 2019). It will take much more time and input from a broad range of researchers to fully exploit all that this dataset has to offer. But here at least we were able to harness some of the power of the BBC Pandemic data to contribute something which we hope will capture the interest and engagement of a broad audience.
Copyright © 2018 The Authors. Published by Elsevier B.V. All rights reserved.

Keywords:  Contact data; Fine-level spatial simulation; Human mobility; Influenza dynamics; Mobile phone data

Mesh:

Year:  2018        PMID: 29576516     DOI: 10.1016/j.epidem.2018.03.003

Source DB:  PubMed          Journal:  Epidemics        ISSN: 1878-0067            Impact factor:   4.396


  23 in total

1.  A Cross-Disciplinary View of Testing and Bioinformatic Analysis of SARS-CoV-2 and Other Human Respiratory Viruses in Pandemic Settings.

Authors:  Md Arafat Hossain; Barbara Brito-Rodriguez; Lisa M Sedger; John Canning
Journal:  IEEE Access       Date:  2021-12-06       Impact factor: 3.476

2.  Infectious disease dynamics and restrictions on social gathering size.

Authors:  Christopher B Boyer; Eva Rumpler; Stephen M Kissler; Marc Lipsitch
Journal:  medRxiv       Date:  2022-07-12

3.  June: open-source individual-based epidemiology simulation.

Authors:  Joseph Aylett-Bullock; Carolina Cuesta-Lazaro; Arnau Quera-Bofarull; Miguel Icaza-Lizaola; Aidan Sedgewick; Henry Truong; Aoife Curran; Edward Elliott; Tristan Caulfield; Kevin Fong; Ian Vernon; Julian Williams; Richard Bower; Frank Krauss
Journal:  R Soc Open Sci       Date:  2021-07-07       Impact factor: 2.963

4.  Detection, forecasting and control of infectious disease epidemics: modelling outbreaks in humans, animals and plants.

Authors:  Robin N Thompson; Ellen Brooks-Pollock
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-06-24       Impact factor: 6.237

5.  Contacts and behaviours of university students during the COVID-19 pandemic at the start of the 2020/2021 academic year.

Authors:  Emily Nixon; Adam Trickey; Hannah Christensen; Adam Finn; Amy Thomas; Caroline Relton; Clara Montgomery; Gibran Hemani; Jane Metz; Josephine G Walker; Katy Turner; Rachel Kwiatkowska; Sarah Sauchelli; Leon Danon; Ellen Brooks-Pollock
Journal:  Sci Rep       Date:  2021-06-03       Impact factor: 4.379

6.  Effects of latency and age structure on the dynamics and containment of COVID-19.

Authors:  K B Blyuss; Y N Kyrychko
Journal:  J Theor Biol       Date:  2021-01-13       Impact factor: 2.691

7.  Dynamics of SARS-CoV-2 with waning immunity in the UK population.

Authors:  Thomas Crellen; Li Pi; Emma L Davis; Timothy M Pollington; Tim C D Lucas; Diepreye Ayabina; Anna Borlase; Jaspreet Toor; Kiesha Prem; Graham F Medley; Petra Klepac; T Déirdre Hollingsworth
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2021-05-31       Impact factor: 6.237

8.  Using time-use diaries to track changing behavior across successive stages of COVID-19 social restrictions.

Authors:  Oriel Sullivan; Jonathan Gershuny; Almudena Sevilla; Francesca Foliano; Margarita Vega-Rapun; Juana Lamote de Grignon; Teresa Harms; Pierre Walthéry
Journal:  Proc Natl Acad Sci U S A       Date:  2021-08-31       Impact factor: 11.205

9.  Using a real-world network to model localized COVID-19 control strategies.

Authors:  Josh A Firth; Joel Hellewell; Petra Klepac; Stephen Kissler; Adam J Kucharski; Lewis G Spurgin
Journal:  Nat Med       Date:  2020-08-07       Impact factor: 87.241

10.  Key questions for modelling COVID-19 exit strategies.

Authors:  Robin N Thompson; T Déirdre Hollingsworth; Valerie Isham; Daniel Arribas-Bel; Ben Ashby; Tom Britton; Peter Challenor; Lauren H K Chappell; Hannah Clapham; Nik J Cunniffe; A Philip Dawid; Christl A Donnelly; Rosalind M Eggo; Sebastian Funk; Nigel Gilbert; Paul Glendinning; Julia R Gog; William S Hart; Hans Heesterbeek; Thomas House; Matt Keeling; István Z Kiss; Mirjam E Kretzschmar; Alun L Lloyd; Emma S McBryde; James M McCaw; Trevelyan J McKinley; Joel C Miller; Martina Morris; Philip D O'Neill; Kris V Parag; Carl A B Pearson; Lorenzo Pellis; Juliet R C Pulliam; Joshua V Ross; Gianpaolo Scalia Tomba; Bernard W Silverman; Claudio J Struchiner; Michael J Tildesley; Pieter Trapman; Cerian R Webb; Denis Mollison; Olivier Restif
Journal:  Proc Biol Sci       Date:  2020-08-12       Impact factor: 5.349

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.