Stochastic Modeling of COVID-19 Dynamics with Emphasis on Asymptomatic and Isolated Populations

Ibrahim Bouzalmat

doi:10.1002/mma

Conference Papers Year : 2024

Stochastic Modeling of COVID-19 Dynamics with Emphasis on Asymptomatic and Isolated Populations

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Ibrahim Bouzalmat

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PersonId : 1341824
IdHAL : ibrahim-bouzalmat

Institut Montpelliérain Alexander Grothendieck

Keywords

Stochastic Epidemic Modeling COVID-19 Pandemic Population Dynamics Asymptomatic and Isolated Cases Real data Persistence and Extinction Dynamics

Domains

Probability [math.PR] Optimization and Control [math.OC]

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M3A24-BOUZALMAT.pdf (48.24 Ko)

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Ibrahim BOUZALMAT : Connect in order to contact the contributor

https://hal.science/hal-04624483

Submitted on : Thursday, June 27, 2024-11:58:15 AM

Last modification on : Sunday, June 30, 2024-3:08:43 AM

Dates and versions

hal-04624483 , version 1 (27-06-2024)

Identifiers

HAL Id : hal-04624483 , version 1
DOI : 10.1002/mma

Cite

Ibrahim Bouzalmat. Stochastic Modeling of COVID-19 Dynamics with Emphasis on Asymptomatic and Isolated Populations. International Conference on Mathematical Modeling with Modern Applications, Jun 2024, Istanbul, Turkey. ⟨10.1002/mma⟩. ⟨hal-04624483⟩

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Stochastic Modeling of COVID-19 Dynamics with Emphasis on Asymptomatic and Isolated Populations

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