We study a SEIR model considered by Gomes et . al. Gomes2020 and Aguas et . al. Aguas2020 where different individuals are assumed to have different levels of susceptibility or exposure to infection. Under this heterogeneity assumption, epidemic growth is effectively suppressed when the percentage of population having acquired immunity surpasses a critical level - the herd immunity threshold - that is much lower than in homogeneous populations. We find explicit formulas to calculate herd immunity thresholds and stable configuration, and explore variations of the model.
We study a SEIR model considered by Gomes et al. Gomes2020 and Aguas et al. Aguas2020 where different individuals are assumed to have different levels of susceptibility or exposure to infection. Under this heterogeneity assumption, epidemic growth is effectively suppressed when the percentage of population having acquired immunity surpasses a critical level - the herd immunity threshold - that is lower than in homogeneous populations. We find explicit formulas to calculate herd immunity thresholds and stable configuration, and explore extensions of the model.
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