International Journal of Infectious Diseases · 2021 · 29 citations · 37 references
Veterinary MedicineImmunologyInfectious DiseasesEmerging Infectious DiseasesHost-pathogen InteractionsInfectious Disease EpidemiologyDisease SpreadImmune Responses To InfectionInfectious Disease DynamicsPopulation Dynamics ModelingTransmission DynamicsViral InfectionsDelay Differential Equation ModelsEpidemic ModelsEpidemic Models With DelayForecasting Disease TrajectoriesForecasting Epidemic TrajectoriesInfectious Disease ModelsMathematical Modeling Of Viral SpreadPathogen Spread Dynamics
OBJECTIVES: The recent discoveries of phylogenetically confirmed COVID-19 reinfection cases worldwide, together with studies suggesting that antibody titres decrease over time, raise the question of what course the epidemic trajectories may take if immunity were really to be temporary in a significant fraction of the population. The objective of this study is to obtain an answer for this important question. METHODS: We construct a ground-up delay differential equation model tailored to incorporate different types of immune response. We considered two immune responses: (a) short-lived immunity of all types, and (b) short-lived sterilizing immunity with durable severity-reducing immunity. RESULTS: Multiple wave solutions to the model are manifest for intermediate values of the reproduction number R; interestingly, for sufficiently low as well as sufficiently high R, we find conventional single-wave solutions despite temporary immunity. CONCLUSIONS: The versatility of our model, and its very modest demands on computational resources, ensure that a set of disease trajectories can be computed virtually on the same day that a new and relevant immune response study is released. Our work can also be used to analyse the disease dynamics after a vaccine is certified for use and information regarding its immune response becomes available.
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Kelvin Kai‐Wang To, Ivan Fan‐Ngai Hung, Jonathan Daniel Ip et al. · Clinical Infectious Diseases · 2020 · 818 citations · Full text
A SIDARTHE Model of COVID-19 Epidemic in Italy
Giulia Giordano, Franco Blanchini, Raffaele Bruno et al. · arXiv (Cornell University) · 2020 · 674 citations · Full text
Public Health, Infectious Disease Control, Infectious Diseases +17