<span style="font-variant: small-caps">EpiInfer</span>: A Non-Markovian Method and System to Forecast Infection Rates in Epidemics
Consider an evolving epidemic in which each person is either (S) susceptible and healthy; (E) exposed, contagious but asymptomatic; (I) infected, symptomatic, and quarantined; or (R) recovered, healthy, and susceptible. The inference problem, given (i) who is showing symptoms (I) and who is not (S,...
Saved in:
| Main Authors: | Jovan Kascelan, Ruoxi Yang, Dennis Shasha |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-07-01
|
| Series: | Algorithms |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-4893/18/7/450 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The Analysis of SEIRS-SEI Epidemic Models on Malaria with Regard to Human Recovery Rate
by: Resmawan Resmawan, et al.
Published: (2017-12-01) -
A Systematic Review on the Applications of <span style="font-variant: small-caps">Uppaal</span>
by: Iwona Grobelna, et al.
Published: (2025-05-01) -
MODEL SEIR UNTUK EPIDEMI FLU BABI PADA POPULASI BABI DENGAN LAJU KONTAK JENUH
by: M Kharis
Published: (2012-09-01) -
Energy Levels, Lifetimes, and Transition Properties for N <span style="font-variant: small-caps">iii</span> – <span style="font-variant: small-caps">v</span>
by: Meichun Li, et al.
Published: (2025-06-01) -
Risk Contagion Mechanism and Control Strategies in Supply Chain Finance Using SEIR Epidemic Model from the Perspective of Commercial Banks
by: Xiaojing Liu, et al.
Published: (2025-06-01)