Disease Evolution: Models, Concepts, and Data Analyses, Volume 13
Infectious diseases are continuing to threaten humankind. While some diseases have been controlled, new diseases are constantly appearing. Others are now reappearing in forms that are resistant to drug treatments. A capacity for continual re-adaptation furnishes pathogens with the power to escape our control efforts through evolution. This makes it imperative to understand the complex selection pressures that are shaping and reshaping diseases. Modern models of evolutionaryepidemiology provide powerful tools for creating, expressing, and testing such understanding. Bringing together international leaders in the field, this volume offers a panoramic tour of topical developments in understanding the mechanisms of disease evolution. The volume's first part elucidates the generalconcepts underlying models of disease evolution. Methodological challenges addressed include those posed by spatial structure, stochastic dynamics, disease phases and classes, single- and multi-drug resistance, the heterogeneity of host populations and tissues, and the intricate coupling of disease evolution with between-host and within-host dynamics. The book's second part shows how these methods are utilized for investigating the dynamics and evolution of specific diseases, includingHIV/AIDS, tuberculosis, SARS, malaria, and human rhinovirus infections. This volume is particularly suited for introducing young scientists and established researchers with backgrounds in mathematics, computer science, or biology to the current techniques and challenges of mathematical evolutionaryepidemiology.
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Insights from Prices equation into evolutionary epidemiology
Some ecological and evolutionary consequences
Evolutionary and dynamic models of infection with internal host structure
Basic methods for modeling the invasion and spread of contagious diseases
Modeling the invasion and spread of contagious diseases in heterogeneous popula
A cophylogenetic perspective on hostpathogen evolution
The influence of antiviral drug therapy on the evolution of HIV1 pathogens
Do rhinoviruses follow the neutral theory? The role of crossimmunity in maintain
Dynamics and control of antibiotic resistance in structured metapopulations
A. L. Lloyd African buffalo analysis antimicrobial approximation assume assumption average basic reproductive number Biol cell types codivergence compartment cophylogenetic cross-immunity death rate denote distribution drug resistance Ecology effect epidemic epidemiological equations equilibrium evolutionary exponential extinction Figure frequency genetic growth rate heterogeneity HIV infection host death host mortality host population host switching hosts infected immune response increase infected cells infected host infected individuals infected with strain infectious diseases initial interactions invasion lineage Mathematical metapopulation mutation negative binomial distribution number of infected occur parameters parasite patch pathogen population phylogenies pleconaril population genetic predict probability Proc proportion provirus rate and virulence replication cycle reproductive ratio resistant strain resistant virus reverse transcriptase rhinovirus SARS secondary infections selection serotypes simulations spatial structure spores stochastic structured populations superinfection susceptible hosts theory therapy transmission rate treatment tree TreeMap uninfected values viral virion viruses