Evolutionary epidemiology: preparing for an age of genomic plenty

作者: O. G. Pybus , C. Fraser , A. Rambaut

DOI: 10.1098/RSTB.2012.0193

关键词: Infectious Disease EpidemiologyGenomicsEvolutionary biologySustained growthEpidemiologyMolecular evolutionMathematical modelling of infectious diseaseStatistical inferenceMolecular epidemiologyBiologyData scienceGeneral Biochemistry, Genetics and Molecular BiologyGeneral Agricultural and Biological Sciences

摘要: The fields of infectious disease epidemiology and molecular evolution have a surprising amount in common. At the most fundamental level they aim to describe explain basic biological processes transmission loss, pathogens parasites one case, genetic polymorphisms other. Both disciplines are rigorously quantitative underpinned by mature framework dynamical mathematical models. These frameworks were derived logically from first principles survived mostly intact as empirical data sufficient accuracy examine them became available: situation far more common physical sciences than biology. Furthermore, stochastic models evolution, progress both has been accelerated recent decades rapid sustained growth computer processing power concomitant advances methods statistical inference.

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