Hybrid Modeling of Ebola Propagation.
Journal
Proceedings. IEEE International Symposium on Bioinformatics and Bioengineering
ISSN: 2159-5410
Titre abrégé: Proc IEEE Int Symp Bioinformatics Bioeng
Pays: United States
ID NLM: 101522833
Informations de publication
Date de publication:
Oct 2019
Oct 2019
Historique:
entrez:
20
6
2020
pubmed:
20
6
2020
medline:
20
6
2020
Statut:
ppublish
Résumé
The Ebola virus disease (EVD) epidemic that occurred in West Africa between 2014-16 resulted in over 28,000 cases and 11,000 deaths - one of the deadliest to date. A generalized model of the spatiotemporal progression of EVD for Liberia, Guinea, and Sierra Leone in 2014-16 remains elusive. There is also a disconnect in the literature on which interventions are most effective in curbing disease progression. To solve these two key issues, we designed a hybrid agent-based and compartmental model that switches from one paradigm to the other on a stochastic threshold. We modeled disease progression with promising accuracy using WHO datasets.
Identifiants
pubmed: 32551185
doi: 10.1109/bibe.2019.00044
pmc: PMC7302111
mid: NIHMS1595290
doi:
Types de publication
Journal Article
Langues
eng
Pagination
204-210Subventions
Organisme : NCI NIH HHS
ID : U54 CA119338
Pays : United States
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