Published/accepted articles in peer-reviewed journal and book chapters

​Preprint​s

​

1. Mundo Ortiz, A. I., & Nasri, B. (2023). Socio-demographic determinants of COVID-19 vaccine uptake in Ontario: Exploring differences across the Health Region model. 

2. Alissen Peterson, Jhoana P. Romero-Leiton, Pablo Aguirrea, Kamal R. Acharya, Bouchra Nasri. (2023). Assessing the Impact of Mutations and Horizontal Gene Transfer on the AMR Control: A Mathematical Model

3. Nasri, B. R., Rémillard, B. N., & Thioub, M. Y. (2023). Are Information criteria good enough to choose the right the number of regimes in Hidden Markov Models?

4. El-Mousawi, F., Mundo Ortiz, A., Berkat, R., & Nasri, B. (2023). The Impact of Flood Adaptation Measures on Affected Population's Mental Health: A mixed method Scoping Review.

5. Awasthi, R., Nagori, A., & Nasri, B. (2023). Global generalisability of AI-driven COVID-19 vaccination policies: a cross-sectional observational study. 

6. Awasthi, R., Nagori, A., Mishra, S., Mathur, A., Mathur, P., & Nasri, B. (2023). Managing the Infodemic: Leveraging Deep Learning to Evaluate the Maturity Level of AI-Based COVID-19 Publications for Knowledge Surveillance and Decision Support.

7. Driss, B.*,  El Fatini, M.*, El Hichamy, I*, Nasri, B*, Sekkak, I*.  Stochastic near-optimal control for an epidemic treatment model with relapse.

8. Driss, B.*,  El Fatini, M.*, El Hichamy, I*, Nasri, B*, Sekkak, I*.  Stochastic near-optimal control for an epidemic treatment model with relapse and reinfection incorporating Lévy processes.​

9. Sekkak, J. D. Kong, M. El Fatini and B. Nasri. Containing and managing an emerging disease outbreak: a stochastic modelling approach.  

10. P. Krupskii, B.R. Nasri and B.N. Rémillard. On factor copula-based mixed regression models.

11. B. R. Nasri and B. N. Rémillard. Semiparametric inference for copulas of arbitrary distributions. 

12. Y. Bodryzlova, B. Nasri, Y. Kestens, E. Bélanger, and G. Moullec. Contributors to the positive cognitive health of older adults.

13. Gabet,  S., Thierry, B.,  Wasfi, R.,  Simonelli, G.,  Hudon, C.,  Lessard, L., Dubé, E., Nasri, B., Kestens, Y.,  Moullec, G. (2023) How is the COVID-19 pandemic impacting our life, mental health, and well-being? Design and preliminary findings of the pan-Canadian longitudinal COHESION Study. BMC Public health

​

​

​

1. S. Boligarla, E. K. Elolo Laison, J. F. Li, R. Mahadevan, A. Ng, Y. Lin, M. Y. Thioub, B. Huang, M. Hamza Ibrahim, and B. Nasri.  (2023)Leveraging Machine Learning Approaches for Predicting Potential Lyme Disease Cases and Incidence Rates in the United States Using Twitter. BMC Medical Informatics and Decision Making

2. Sekkak, I.*, Nasri, B., * and Rémillard, B.*, Kong, J., El Fatini, M. (2023) Higher order perturbation and data analysis of a SIQR model with short- and long-term prophylaxis. Communications in nonlinear science and numerical simulation

3. J. Romero-Leiton, K. Acharya, J. Parmley, J. Arino, and B. Nasri. (2023) Modelling the transmission of dengue, Zika and Chikungunya: a scoping review protocol. BMJ Open

4. Elda K. E. Laison, Mohammed H. Ibrahim, Srikanth Boligarla, Jiaxin F. Li, Raja Mahadevan, Austen Ng, Lee W. Yi, Jang Park, Yijun Yin, Bouchra R Nasri. (2023). Identifying self-reported worldwide tweets potential Lyme disease cases: A deep learning modelling enhanced with sentimental words through emojis. Journal of Medical Internet Research

5. B. R. Nasri and B. N. Rémillard. (2023) Tests of independence and randomness for arbitrary data using copula-based covariances.​ Journal of Multivariate Analysis.

6. ​​Molla,J.*, Sekkak, I.*,  Ortiz, AM., Moyles, I., Nasri BR. (2023) Mathematical modelling of mpox: a scoping review. One Health.

7. Sekkak, I. and Nasri, B. (2023) An optimal control approach for public health interventions on an Epidemic-Viral model in deterministic and stochastic environments.

8. K. Acharya, J. Romero-Leiton, J. Parmley, and B. Nasri.  (2023) An identification of the elements of models on antimicrobial resistance of bacteria for assessing their usefulness and usability in One-Healthdecision making: A protocol for scoping review. BMJ Open

9. Nasri, R.B. (2022). Test of serial dependence for multivariate time series with arbitrary distributions. Journal of Multivariate Analysis.

10. Driss, B.*,  El Fatini, M.*, El Hichamy, I*, Nasri, B*, Sekkak, I*.  (2022) Near-optimal stochastic control for radiotherapy treatment in a random cancer model. Systems and Control Letters.

11. Csörgő M, Dwason D, Nasri BR, Rémillard BN . (2022) A review of empirical processes and its applications in probability and statistics: A random walk through empirical processes. Canadian Journal of Statistics.

12. Rees EE, Avery BP, Carabin H, Carson CA, Champredon D, Dougherty B, Nasri BR, Ogden NH (2022). Effectiveness of non-pharmaceutical interventions to reduce SARS-CoV-2 transmission in Canada and their association with COVID-19 hospitalisation rates. Can Commun Dis Rep. 

13. Yuan, P., Aruffo, E., Ogden, N., Tan, Y., Gatov, E., Gournis, E., Collier, S., Nasri, B., Moyles, I., Li, Q., Zhu, H. (2022). School and community reopening during the COVID-19 pandemic: a mathematical modelling study. Royal Society Open Science.

14. Nasri, R. B., B. R. Rémillard,  and T. Bahraoui (2022). Change-point problems for multivariate time series using pseudo-observations. Journal of Multivariate Analysis, 187, 104857

15. Nasri BR, Rémillard BN, Szyszkowicz B, Vaillancourt J. (2021). A conversation with Don Dawson. Statistical Science.

16. Nasri, R. B., É. Boucher, L. Perreault, B. R. Rémillard, D. Huard, and A. Nicault (2020). Hydrological regime variability over the Quebec-Labrador peninsula (Canada) during the last centuries. Water Resources Research.

17. Aubry-Wake, C., [...], B. R. Nasri, [...] (2020). A new flow for Canadian young hydrologists: Key scientific challenges addressed by research cultural shifts. Hydrological Processes. 

18. Nasri, B. R. (2020). On non-central squared copulas. Statistics and Probability Letters. 

19. Nasri, B. R. , B. N. Rémillard, and M.Y. Thioub (M.Sc. student) (2020). Goodness-of-fit for regime-switching copula models with application to option pricing. Canadian Journal of Statistics. 

20. Nasri, B., and B. Rémillard (2019). Copula-based dynamic models for multivariate time series. Journal of Multivariate Analysis 172, 107-121. 

21. Nasri, B., B. Rémillard, and T. Bouezmarni (2019). Semi-Parametric Copula-Based Models Under Non-Stationarity. Journal of Multivariate Analysis 173, 347-365. 

22. Rémillard, B., B. Nasri, and M. Ben Abdellatif (2018). Replication methods for financial indexes. In Innovations in Insurance, Risk and Asset Management, Aleksey Min, Matthias Scherer and Rudi Zagst editors, Springer Proceeding in Mathematics & Statistics. 

23. Nasri, B., T. Bouezmarni, A. St-Hilaire, and T.B.M.J. Ouarda (2017). Nonstationary hydrologic frequency analysis using B-Spline quantile regression. Journal of Hydrology 554, 532-544. 

24. Rémillard, B., B. Nasri, and T. Bouezmarni (2017). On copula-based conditional quantile estimators. Statistics and Probability Letters 128, 14-20. 

25. Nasri, B., Y. Tramblay, S. El Adlouni, E. Hertig, and T.B.M.J. Ouarda (2016). Atmospheric predictors for annual maximum precipitation in North Africa. Journal of Applied Meteorology and Climatology 55:4, 1063-1076. 

26. Caron, A., P. Pannetier, M. Rosabal-Rodriguez, H. Budzinski, M. Lauzent, P. Labadie, B. Nasri, F. Pierron, M. Baudrimont, et P. Couture (2016). Organic and inorganic contamination impacts on metabolic capacities in American and European yellow eels. Canadian Journal of Fisheries and Aquatic Sciences.10.1139/cjfas-2015-0473.  

27. Nasri, B., S. El Adlouni, and T.B.M.J Ouarda (2013). Bayesian estimation for GEV-B-Spline model. Open Journal of Statistics 3:2, 118-128.