FACS: A geospatial agent-based simulator for analyzing COVID-19 spread and public health measures on local regions
- Submitting institution
-
Brunel University London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 090-222791-7003880
- Type
- D - Journal article
- DOI
-
10.1080/17477778.2020.1800422
- Title of journal
- Journal Of Simulation
- Article number
- -
- First page
- 1
- Volume
- in press
- Issue
- -
- ISSN
- 1747-7778
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2020
- URL
-
https://bura.brunel.ac.uk/handle/2438/20914
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
10
- Research group(s)
-
1 - Artificial Intelligence (AI)
- Citation count
- 2
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work has been used to inform service recovery strategies by two NHS trusts (London North West Healthcare hospitals and Hilling hospitals, reference: Sonia Patel, CIO of Hillingdon and LNWH). FACS is being used in the H2020 projects STAMINA (883441), and VECMA (800925) and HiDALGO (824115). Led to two front page articles (https://metro.co.uk/2020/08/06/second-wave-london-likely-almost-cases-simulation-finds-13085892/, https://www.thesun.co.uk/news/12328802/second-coronavirus-wave-london-likely-almost-all-cases/ and Conversation piece (https://theconversation.com/coronavirus-how-school-closures-affect-infection-numbers-152707). The code is reused abroad, by research teams in Madrid, Spain and Islamabad, Pakistan (ongoing efforts).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
