Implicit Competition and Serotype Replacement: Insights from Mathematical Modeling of Multi-colonization and Vaccination
Malik, T.; Sharomi, O.; Elbasha, E.
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In this research, we investigate the dynamics of interactions among multiple serotypes of an infectious agent in presence of vaccination and reveal insights into the phenomenon of serotype replacement. Traditionally, serotype replacement following vaccination has been interpreted primarily as a consequence of direct competition among different serotypes. However, our study demonstrates that these observed shifts can also stem from the modeling constraints on multi-colonization. We provide evidence that, even in the absence of explicit competitive interactions between serotypes, modeling assumptions on the number of serotypes allowed to co-colonize can inadvertently foster an implicit competition that exhibits serotype replacement ensuing vaccination. We further support this argument by examining pneumococcal multi-colonization dynamics as a case study. This finding challenges the conventional understanding of serotype dynamics, suggesting that model-projected occurrence of replacement following vaccination is not solely an epidemiological event driven by serotype competition but can also be an artifact arising from the limitations of the modeling framework. Understanding these dynamics is essential for developing more accurate predictive models and devising effective public health interventions.
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