Page 226 - IJOCTA-15-4
P. 226
H. Kravitz et al. / IJOCTA, Vol.15, No.4, pp.750-778 (2025)
123. Kuhl E. The classical SIR model. In: Compu- analysis, where she focuses on developing compu-
tational Epidemiology: Data-Driven Modeling of tational and statistical techniques to model, ana-
COVID-19. Cham: Springer International Pub- lyze and explore complex relational data.
lishing; 2021:41-59. https://orcid.org/0000-0003-2927-3259
http://dx.doi.org/10.1007/978-3-030-82890-5 3
124. Lunelli A, Pugliese A. Final attack ratio in SIR
epidemic models for multigroup populations. Ric
Mat. 2018;67(1):49-68.
http://dx.doi.org/10.1007/s11587-017-0349-5
125. Ridenhour B, Kowalik JM, Shay DK. Unraveling
R0: Considerations for public health applications. Bryttani Nieves received her B.S. in Data Sci-
Am J Public Health. 2014;104(2):e32-e41. ence from Portland State University in 2025. She
http://dx.doi.org/10.2105/AJPH.2013.301704
contributed to the development and implementa-
tion of computational analyses in this study.
Hannah Kravitz is an Assistant Professor of
https://orcid.org/0009-0001-9983-6953
Mathematics at Portland State University in
Portland, OR, USA. She received her B.S. from
The Ohio State University and her Ph.D. from
The University of Arizona. Her research focuses
on numerical methods for partial differential equa-
tions and on the theory and applications of metric
graphs. Moysey Brio is a Professor of Mathematics at
https://orcid.org/0000-0003-2998-8043 the University of Arizona. He received his Ph.D.
in 1984 from UCLA, and held research fellowships
at UCLA, Rice University, NYU, IMPA (Brazil),
DTU (Denmark), and INSA de Rouen (France).
His research focuses on numerical algorithms for
Christina Dur´on is an Assistant Professor of partial differential equations with applications in
Mathematics at Pepperdine University in Malibu, aerospace, optics, and astrophysics. He is also the
CA, USA. She received her B.S. from Swarth- author of the graduate textbook “Numerical Time-
more College, M.S. from the University of Wash- Dependent Partial Differential Equations for Sci-
ington and Ph.D. from Claremont Graduate Uni- entists and Engineers.”
versity. Her research lies in network theory and https://orcid.org/0000-0003-4834-2758
768

