Epidemiological theory of virus variants

Author:

Cacciapaglia GiacomoORCID,Cot CorentinORCID,de Hoffer Adele,Hohenegger StefanORCID,Sannino Francesco,Vatani ShahramORCID

Publisher

Elsevier BV

Subject

Statistical and Nonlinear Physics,Statistics and Probability

Reference43 articles.

1. Variant-driven multi-wave pattern of COVID-19 via a machine learning analysis of spike protein mutations;de Hoffer,2021

2. Age-incidence in relation with cycles of disease prevalence;Hamer;Trans. Epidem. Soc. Lond.,1896

3. Epidemic disease in England: The evidence of variability and of persistency of type; Lecture 1;Hamer;Lancet,1906

4. Epidemic disease in England: The evidence of variability and of persistency of type; Lecture 2;Hamer;Lancet,1906

5. Epidemic disease in England: The evidence of variability and of persistency of type; Lecture 3;Hamer;Lancet,1906

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