Resilience management during large-scale epidemic outbreaks
Massaro, Emanuele, Ganin, Alexander, Perra, Nicola ORCID: 0000-0002-5559-3064 , Linkov, Igor and Vespignani, Alessandro (2018) Resilience management during large-scale epidemic outbreaks. Scientific Reports, 8:1859. ISSN 2045-2322 (Print), 1476-4687 (Online) (doi:https://doi.org/10.1038/s41598-018-19706-2)
|
PDF (Open Access Article)
18515 PERRA_Resilience_Management_during_Large-Scale_Epidemic_Outbreaks_(OA)_2017.pdf - Published Version Available under License Creative Commons Attribution. Download (1MB) | Preview |
|
PDF (Author Accepted Manuscript)
18515 PERRA_Resilience_Management_during_Large-Scale_Epidemic_Outbreaks_2017.pdf - Accepted Version Restricted to Repository staff only Download (179kB) | Request a copy |
||
PDF (Acceptance_Email)
18515 PERRA_Acceptance_Email_2017.pdf - Additional Metadata Restricted to Repository staff only Download (62kB) | Request a copy |
Abstract
Assessing and managing the impact of large-scale epidemics considering only the individual risk and severity of the disease is exceedingly difficult and could be extremely expensive. Economic consequences, infrastructure and service disruption, as well as the recovery speed, are just a few of the many dimensions along which to quantify the effect of an epidemic on society's fabric. Here, we extend the concept of resilience to characterize epidemics in structured populations, by defining the system-wide critical functionality that combines an individual’s risk of getting the disease (disease attack rate) and the disruption to the system’s functionality (human mobility deterioration). By studying both conceptual and data-driven models, we show that the integrated consideration of individual risks and societal disruptions under resilience assessment framework provides an insightful picture of how an epidemic might impact society. In particular, containment interventions intended for a straightforward reduction of the risk may have net negative impact on the system by slowing down the recovery of basic societal functions. The presented study operationalizes the resilience framework, providing a more nuanced and comprehensive approach for optimizing containment schemes and mitigation policies in the case of epidemic outbreaks.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | Epidemic spreading, resilience management |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Faculty / School / Research Centre / Research Group: | Faculty of Business Faculty of Business > Department of International Business & Economics Faculty of Business > Networks and Urban Systems Centre (NUSC) Faculty of Business > Networks and Urban Systems Centre (NUSC) > Centre for Business Network Analysis (CBNA) |
Last Modified: | 21 Oct 2020 10:05 |
URI: | http://gala.gre.ac.uk/id/eprint/18515 |
Actions (login required)
View Item |
Downloads
Downloads per month over past year