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H. Kravitz et al. / IJOCTA, Vol.15, No.4, pp.750-778 (2025)
            low inter-city incidence. Contributing features in  as Tikhonov regularization may prove useful for
            the model likely include a low value of α, low pop-  stabilizing parameter inference and avoiding over-
            ulation on the incident edges (see Figure 10), and  fitting in high-dimensional settings.  Further-
            two out of its five adjacent vertices being unpop-  more, we plan to investigate uncertainty quan-
            ulated.                                           tification approaches to better characterize con-
                Vertex v 10 (Bielsko-Bia la) is balanced - the  fidence in parameter estimates and model pre-
            intra- and inter-city incidences have similar mag-  dictions, which will enhance the robustness and
            nitudes compared to the other vertices, and both  interpretability of the framework.  Finally, we
            are high. In general, the intra-city incidence con-  plan to undertake a more granular location-based
            tributes significantly more than the inter-city in-  sensitivity analysis, which may yield deeper in-
            cidence to the normalized infection inflow.       sight into the interplay between network topology,
                                                              parameter heterogeneity, and the most effective
            4. Conclusion                                     means to slow the spread of an epidemic. 110

            In this paper, we applied a data-driven optimiza-
            tion methodology to estimate key parameters in
            a metric graph-based epidemiological model, us-   Acknowledgments
            ing data from an early 2021 wave of COVID-19 in   HK, CD, and MB thank the American Institute
            Poland as a case study. We found that this prob-  of Mathematics for the time and space to work on
            lem is a difficult optimization problem, as indi-  this project as part of their SQuaRE program.
            cated by the presence of a Rosenbrock-type func-
            tion. We were able to make the Rosenbrock be-
            havior appear for a simple, uncoupled SIR model,  Funding
            thus showing that the Rosenbrock behavior is an
                                                              This research was partially supported by BN’s
            intrinsic feature of fitting certain SIR models to
                                                              work funded through the NSF grant #136228.
            approximately Gaussian data and not a result of
            the complex network structure. This discovery
            provides a real-world test case with which to test  Conflict of interest
            optimization algorithms rather than using the ar-
            tificially constructed classic Rosenbrock function.  The authors declare they have no competing in-
                Having found a plausible set of parameters    terests.
            for COVID-19 in Poland, we presented two appli-
            cations: reducing traffic inflow into the cities to
            flatten the infection curve and the identification  Author contributions
            of some particular patterns in the distribution of  Conceptualization: All authors
            intra- versus inter-city incidence rates.
                                                              Formal analysis: All authors
                                                              Methodology: All authors
            4.1. Future work
                                                              Software: Hannah Kravitz, Bryttani Nieves
            There are a number of potential directions in     Visualization: Hannah Kravitz, Christina Dur´on
            which this work could be extended. First, we      Writing–original draft: Hannah Kravitz
            aim to couple the metric graph framework to a     Writing–review & editing: All authors
            surrounding two-dimensional spatial domain 30  to
            better capture the effect of a transportation net-
            work on rural spread. Second, we intend to incor-  Availability of data
            porate transport terms along the edges to more
                                                              The raw case data is freely available from the
            accurately model directed traffic flow, comple-
                                                              Polish Ministry of Health (MOH)’s website
            menting the existing diffusion-based framework.
                                                              (https://www.gov.pl/web/koronawirus/wykaz-
            We also plan to introduce source/sink terms at
                                                              zarazen-koronawirusem-sars-cov-2).  The model
            international border crossings in order to study
                                                              results supporting this article will be made avail-
            the effect of cross-border movement on epidemic
                                                              able by the authors on request.
            dynamics and containment strategies.     Allow-
            ing susceptible mobility or incorporating infection
            during travel are further natural extensions that
            would better capture more realistic mixing across
                                                              AI tools statement
            cities.
                As the model is extended and calibrated in    The authors have utilized ChatGPT for minor
            finer spatial detail, regularization techniques such  grammatical and formatting assistance.
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