| Full text | |
| Author(s): |
Total Authors: 3
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| Affiliation: | [1] INPE, Sao Jose Dos Campos - Brazil
[2] Univ Paris Sud, CNRS, Lab Phys Solides, UMR 8502, F-91405 Orsay - France
Total Affiliations: 2
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| Document type: | Journal article |
| Source: | PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS; v. 526, JUL 15 2019. |
| Web of Science Citations: | 0 |
| Abstract | |
Here we modeled and simulated disease spreading by means of a mechanistic stochastic model on metapopulations. Different network sizes, mobility rates and immunity duration for a susceptible-infected-recovered-susceptible (SIRS) like process are systematically explored. A transitory behavior was identified in the pathogen persistence where the mobility rate plays an unexpected role in the epidemic spread: a peak in the persistence relative to the mobility rate grow observed is closely related to the susceptible individuals' density. This effect predicts a threshold invasion process which indicates critical values where the epidemic spreading dies out or persists. We showed that the decrease in the hosts abundance reduces the epidemic's lifetime. These results point out new information about epidemic spreading and may give insights to improve decision making policies concerning travel restrictions strategies. (C) 2019 Elsevier B.V. All rights reserved. (AU) | |
| FAPESP's process: | 15/50122-0 - Dynamic phenomena in complex networks: basics and applications |
| Grantee: | Elbert Einstein Nehrer Macau |
| Support Opportunities: | Research Projects - Thematic Grants |