Office Building: Bell Hall Office Room: 202 Phone: (915) 747-6759 Email:abouchnita@utep.edu
Bio
No info available.
Education
Ph D in Physiology and Biology of Organisms - Populations - Interactions, Université de Lyon (2018)
Ph D in Engineering Sciences and Techniques, Université Mohammed V de Rabat (2017)
Publications
Combining Computational Modelling and Machine Learning to Identify COVID-19 Patients with a High Thromboembolism Risk MDPI Mathematics (2023),
Anass Bouchnita, Anastasia Mozokhina, Patrice Nony, Jean-Pierre Llored, Vitaly Volpert.
Modelling of the Innate and Adaptive Immune Response to SARS Viral Infection, Cytokine Storm and Vaccination MDPI Vaccines (2023),
Cristina Leon, Alexey Tokarev, Anass Bouchnita, Vitaly Volpert.
Estimating the Risk of Contracting COVID-19 in Different Settings Using a Multiscale Transmission Dynamics Model MDPI Mathematics (2023),
Sam Dramane, Aissam Jebrane, Anass Bouchnita, Abdelilah Hakim.
Altered developmental programs and oriented cell divisions lead to bulky bones during salamander limb regeneration Nature Communications (2022),
Marketa Kaucka, Alberto J. Araus, Marketa Tesarova, Joshua Currie, Johan Boström, Michaela Kavkova, Julian Petersen, Zeyu Yao, Anass Bouchnita, Andreas Hellander, Tomas Zikmund, Ahmed Elewa, Phillip Newton, Ji-Feng Fei, Andrei Chagin, Kaj Fried, Elly Tanaka, Jozef Kaiser, András Simon, Igor Adameyko.
Scenario projections for the spread of SARS-CoV-2 Omicron BA. 4 and BA. 5 subvariants in the US and Texas UT COVID-19 Modeling Consortium report (2022),
Anass Bouchnita, Kaiming Bi, Oluwaseun Egbelowo, Spencer Fox, Michael Lachmann, Lauren A. Meyers.
Omicron scenario projections for the Austin-Round Rock MSA UT COVID-19 Modeling Consortium report (2022),
Anass Bouchnita, Spencer Fox, Michael Lachmann, Graham Gibson, José Luis D. Herrera, Lauren A. Meyers.
Blood Clotting Decreases Pulmonary Circulation during the Coronavirus Disease MDPI Mathematics (2021),
Anastasia Mozokhina, Anass Bouchnita, Vitaly Volpert.
COVID-19 scenario projections: the emergence of Omicron in the US UT COVID-19 Modeling Consortium report (2021),
Anass Bouchnita, Spencer Fox, Michael Lachmann, Graham Gibson, José Luis D. Herrera, Lauren A. Meyers.
COVID-19 scenario projections: The emergence of Omicron in the US-January 2022 UT COVID-19 Modeling Consortium report (2021),
Anass Bouchnita, Spencer Fox, Michael Lachmann, Graham Gibson, José Luis D. Herrera, Lauren A. Meyers.
A hybrid multi-scale model of COVID-19 transmission dynamics to assess the potential of non-pharmaceutical interventions Chaos, Fractals, and Solitons (2020),
Anass Bouchnita, Aissam Jebrane.
Presentations
No info available.
Grants
PREDICTING SEASONAL INFLUENZA HOSPITALIZATIONS USING SEMI-MECHANISTIC MODELS THAT INCORPORATE IMMUNOLOGICAL DYNAMICS
Ph D in Physiology and Biology of Organisms - Populations - Interactions, Université de Lyon (2018)
Ph D in Engineering Sciences and Techniques, Université Mohammed V de Rabat (2017)
Publications
Combining Computational Modelling and Machine Learning to Identify COVID-19 Patients with a High Thromboembolism Risk MDPI Mathematics (2023),
Anass Bouchnita, Anastasia Mozokhina, Patrice Nony, Jean-Pierre Llored, Vitaly Volpert.
Modelling of the Innate and Adaptive Immune Response to SARS Viral Infection, Cytokine Storm and Vaccination MDPI Vaccines (2023),
Cristina Leon, Alexey Tokarev, Anass Bouchnita, Vitaly Volpert.
Estimating the Risk of Contracting COVID-19 in Different Settings Using a Multiscale Transmission Dynamics Model MDPI Mathematics (2023),
Sam Dramane, Aissam Jebrane, Anass Bouchnita, Abdelilah Hakim.
Altered developmental programs and oriented cell divisions lead to bulky bones during salamander limb regeneration Nature Communications (2022),
Marketa Kaucka, Alberto J. Araus, Marketa Tesarova, Joshua Currie, Johan Boström, Michaela Kavkova, Julian Petersen, Zeyu Yao, Anass Bouchnita, Andreas Hellander, Tomas Zikmund, Ahmed Elewa, Phillip Newton, Ji-Feng Fei, Andrei Chagin, Kaj Fried, Elly Tanaka, Jozef Kaiser, András Simon, Igor Adameyko.
Scenario projections for the spread of SARS-CoV-2 Omicron BA. 4 and BA. 5 subvariants in the US and Texas UT COVID-19 Modeling Consortium report (2022),
Anass Bouchnita, Kaiming Bi, Oluwaseun Egbelowo, Spencer Fox, Michael Lachmann, Lauren A. Meyers.
Presentations
No info available.
PREDICTING SEASONAL INFLUENZA HOSPITALIZATIONS USING SEMI-MECHANISTIC MODELS THAT INCORPORATE IMMUNOLOGICAL DYNAMICS
