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

 ​Preprint​s​

1. Y. Sharma, T. Philippsen, EKE Laison, J. Kong, B. Nasri, J. Liu, S. Ghaemi, ..., J Ma. Together or not at all : Enhancing Global Preparedness - Challenges and Recommendations for Infectious Disease Surveillance and Early Warning Systems. 

2. K. Ghoudi, B. Nasri, B. Rémillard. On testing for independence between generalized error models of several time series. 

3. B.R. Nasri and B. N. Rémillard. Identifiability and inference for copula-based semiparametric models for random vectors with arbitrary marginal distributions. 

4. R. Awasthi, A. Nagori, and B. Nasri. Bayesian network approach to develop generalisable predictive model for COVID-19 vaccine uptake. 

5.  D. Bouggar, M. El Fatini, I. El Hichamy, B. R. Nasri, and I. Sekkak. Probability analysis and near optimal control for a stochastic epidemic treatment model with relapse. 

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

7. J. P. Romero-Leiton, I. Sekkak, J. Arino, and B. Nasri. Mathematical modelling of the first hiv/zikv co-infection cases in colombia and brazil.

8.  Y. Bodryzlova, B. Nasri, Y. Kestens, E. Bélanger, and G. Moullec. Dynamic models of health assets for positive cognitive health of older adults : a secondary analysis of the longitudinal SHARE data. 

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1. P. McMahon-Morin, MP. Gingras, M-C. Hallé, S. Rezzonico, and B. Nasri (2025). Kindergarten teachers’ changes in practice in interactive book reading following professional development primarily using in-class modeling : A mixed methods study. Teaching and Teacher Education 153, 104806

2. J.P. Romero-Leiton, EKE. Laison, R. Alfaro, J. Parmley, J. Arino, KR. Acharya, and B. Nasri (2025). Exploring Zika’s Dynamics : A Scoping Review Journey from Epidemic to Equations through Mathematical Modelling. Infectious disease modelling.

3. J. P. Romero-Leiton, A. Peterson, P. Aguirre, C. Bastidas-Caldes and B. Nasri (2025). Dynamics of AMR beyond a single bacterial strain: revealing the existence of multiple equilibria and immune system-dependent transitions. Accepted. Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena

4. J. P. Romero-Leiton, A. Peterson, P. Aguirre, K. R. Acharya and B. Nasri (2024). Assessing the Impact of Mutations and Horizontal Gene Transfer on the Antimicrobial Resistance and its Control : A Mathematical Model. Accepted. Computational and Applied Mathematics.

5. B. R. Nasri, B. N. Rémillard, and M. Y. Thioub. (2024). Are information criteria good enough to choose the right the number of regimes in Hidden Markov Models ? J. Stat. Comput. Simul. 21.

6. A. Bertoune, M. El Fatini, B. Nasri, I. Sekkak (2024). The effect of sudden fluctuations on a treated Hepatitis C model. International Journal of Biomathematics, 2450078. 2024

7. P. McMahon-Morin, B. Nasri, I. Verduyckt, S. Rezzonico, and MP. Gingras (2024). Effect of a whole-group intervention on childrens participation in interactive book reading. The Journal of Educational Research, 115.

8. C. Robayo, B. Nasri, D. Szaroz, K. Zinszer (2024). Knowledge attitudes and practice questionnaires in dengue, Zika, chikungunya and yellow fever settings : A Scoping Review Protocol. Accepted. BMJ Open. 

9. J. Denis-Robichaud, E. Rees, P. Daley, C. Zarowsky, A. Diouf, B. Nasri, S. de Montigny, and H. Carabin. (2024). Linking opinions shared on social media about COVID-19 public health measures to adherence: repeated cross-sectional surveys of Twitter use in Canada. Journal of Medical Internet Research

10. Saucier A., McKinnon, B., Nasri, B., Carabali, M., Charland, K., Pierce, L., Zinszer, K. (2024). Generalizability of anti-SARS-CoV-2 seroprevalence estimates to the Montréal pediatric population: a comparison between two weighting methods. American Journal of Epidemiology

11. El-Mousawi, F., Mundo Ortiz, A., Berkat, R., & Nasri, B. (2024). The Impact of Flood Adaptation Measures on Affected Population's Mental Health: A mixed method Scoping Review. Disaster Medicine and Public Health Preparedness

12. Y. Sharma, E. Laison, T. Philippsen, J. Ma, J. Kong, S. Ghaemi, J. Liu, F. Hu, and B. Nasri. (2024). Models and data used to predict the density and distribution of Ixodes scapularis (blacklegged tick) in North America: a scoping review. The Lancet-regional health – americas 

13. D. Bouggar, M. El Fatini, B. R. Nasri, R. Pettersson, and I. Sekkak. (2024). Stochastic near-optimal controls for treatment and vaccination in a COVID-19 model with transmission incorporating Lévy jumps. Stochastics

14. Mundo Ortiz, A. I., & Nasri, B. (2024). Socio-demographic determinants of COVID-19 vaccine uptake in Ontario: Exploring differences across the Health Region model. Vaccine

15. M. Sadoine, A. Smargiassi, Y. Liu, P. Gachon, M. Fournier, G. Dueymes, J. Namuganga, G. Dorsey, B. Nasri, and K. Zinszer. (2024) Predicting malaria risk considering vector control interventions under climate change scenarios. Scientific Reports.

16. Nasri, B. R., Rémillard, B. N. (2024). A note on tests of independence. Encyclopedia of Statistical Sciences, Samuel Kotz (Editor-in-Chief), Campbell B. Read (Editor-in-Chief), Narayanaswamy Balakrishnan (Editor-in-Chief), Brani Vidakovic (Editor-in-Chief), Norman L. Johnson (Founding Editor).

17. M. Sadoine, A. Smargiassi, Y. Liu, P. Gachon, M. Fournier, G. Dueymes, J. Namuganga, G. Dorsey, B. Nasri, and K. Zinszer. (2023). Differential influence of environmental factors on malaria due to vector control interventions in Uganda. International Journal of Environmental Research and Public Health. 

18. 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

19. 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

20. 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

21. 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

22. 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

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

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

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

26. 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

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

28. 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.

29. 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.

30. 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. 

31. 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.

32. 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

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

34. 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.

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

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

37. 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. 

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

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

40. 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. 

41. 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. 

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

43. 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. 

44. 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.  

45. 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.