"Optimizing disease surveillance in Pteropus Lylei using a mechanistic ecological-epidemiological model"Yu, CherieMechanistic modeling of viral dynamics has played a role in disease surveillance by estimating essential biological parameters or trajectories (Brook et al., 2019; Epstein et al., 2020; Glennon et al., 2019; Hayman et al., 2013; Pleydell et al., 2023, Plowright et al., 2016). Specifically in the context of bat-borne viruses, with a focus on coronavirus dynamics, age and synchronous parturition have emerged as pivotal ecological drivers (Hayman, 2015; Joffrin et al., 2022; Peel et al., 2018). This study employs an age-structured ecological-epidemiological model, incorporating seasonal births and maternal immunity, applied to longitudinal data from the Pteropus Lylei species in Cambodia (Cappelle et al., 2020, 2021). Insights are gained into the interplay of coronavirus dynamics, particularly in relation to seasonal reproduction. |
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