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Optimizing social and economic activity while containing SARS-CoV-2 transmission using DAEDALUS.
Haw, David J; Forchini, Giovanni; Doohan, Patrick; Christen, Paula; Pianella, Matteo; Johnson, Robert; Bajaj, Sumali; Hogan, Alexandra B; Winskill, Peter; Miraldo, Marisa; White, Peter J; Ghani, Azra C; Ferguson, Neil M; Smith, Peter C; Hauck, Katharina D.
Affiliation
  • Haw DJ; MRC Centre for Global Infectious Disease Analysis & WHO Collaborating Centre for Infectious Disease Modelling, Jameel Institute, Imperial College London, London, UK.
  • Forchini G; MRC Centre for Global Infectious Disease Analysis & WHO Collaborating Centre for Infectious Disease Modelling, Jameel Institute, Imperial College London, London, UK.
  • Doohan P; USBE, Umeå Universitet, Umeå, Sweden.
  • Christen P; MRC Centre for Global Infectious Disease Analysis & WHO Collaborating Centre for Infectious Disease Modelling, Jameel Institute, Imperial College London, London, UK.
  • Pianella M; MRC Centre for Global Infectious Disease Analysis & WHO Collaborating Centre for Infectious Disease Modelling, Jameel Institute, Imperial College London, London, UK.
  • Johnson R; MRC Centre for Global Infectious Disease Analysis & WHO Collaborating Centre for Infectious Disease Modelling, Jameel Institute, Imperial College London, London, UK.
  • Bajaj S; MRC Centre for Global Infectious Disease Analysis & WHO Collaborating Centre for Infectious Disease Modelling, Jameel Institute, Imperial College London, London, UK.
  • Hogan AB; Department of Zoology, University of Oxford, Oxford, UK.
  • Winskill P; MRC Centre for Global Infectious Disease Analysis & WHO Collaborating Centre for Infectious Disease Modelling, Jameel Institute, Imperial College London, London, UK. alexandra.hogan@unsw.edu.au.
  • Miraldo M; School of Population Health, University of New South Wales, Sydney, Australia. alexandra.hogan@unsw.edu.au.
  • White PJ; MRC Centre for Global Infectious Disease Analysis & WHO Collaborating Centre for Infectious Disease Modelling, Jameel Institute, Imperial College London, London, UK.
  • Ghani AC; Department of Economics and Public Policy, Imperial College Business School, London, UK.
  • Ferguson NM; MRC Centre for Global Infectious Disease Analysis & WHO Collaborating Centre for Infectious Disease Modelling, Jameel Institute, Imperial College London, London, UK.
  • Smith PC; Modelling and Economics Unit, UK Health Security Agency, London, UK.
  • Hauck KD; MRC Centre for Global Infectious Disease Analysis & WHO Collaborating Centre for Infectious Disease Modelling, Jameel Institute, Imperial College London, London, UK.
Nat Comput Sci ; 2(4): 223-233, 2022 Apr.
Article in En | MEDLINE | ID: mdl-38177553
ABSTRACT
To study the trade-off between economic, social and health outcomes in the management of a pandemic, DAEDALUS integrates a dynamic epidemiological model of SARS-CoV-2 transmission with a multi-sector economic model, reflecting sectoral heterogeneity in transmission and complex supply chains. The model identifies mitigation strategies that optimize economic production while constraining infections so that hospital capacity is not exceeded but allowing essential services, including much of the education sector, to remain active. The model differentiates closures by economic sector, keeping those sectors open that contribute little to transmission but much to economic output and those that produce essential services as intermediate or final consumption products. In an illustrative application to 63 sectors in the United Kingdom, the model achieves an economic gain of between £161 billion (24%) and £193 billion (29%) compared to a blanket lockdown of non-essential activities over six months. Although it has been designed for SARS-CoV-2, DAEDALUS is sufficiently flexible to be applicable to pandemics with different epidemiological characteristics.

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Health_economic_evaluation / Prognostic_studies Language: En Journal: Nat Comput Sci Year: 2022 Document type: Article Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Health_economic_evaluation / Prognostic_studies Language: En Journal: Nat Comput Sci Year: 2022 Document type: Article Country of publication: