Phenotypic variations in persistence and infectivity between and within environmentally transmitted pathogen populations impact population-level epidemic dynamics

BMC Infectious Diseases

Nancy G. Love¹  Joseph N.S. Eisenberg²  Andrew F. Brouwer²  Marisa C. Eisenberg² 

[1] 0000000086837370, grid.214458.e, Department of Civil and Environmental Engineering, University of Michigan, 1351 Beal Avenue, 48109, Ann Arbor, MI, USA;Department of Epidemiology, University of Michigan, 1415 Washington Heights, 48109, Ann Abor, MI, USA;

关键词: Biphasic decay;    Microbial dormancy;    VBNC;    Infectious disease transmission model;    Identifiability;    Persistence–infectivity trade-off;   

DOI  :  10.1186/s12879-019-4054-8

来源: publisher

【 摘 要 】

BackgroundHuman pathogens transmitted through environmental pathways are subject to stress and pressures outside of the host. These pressures may cause pathogen pathovars to diverge in their environmental persistence and their infectivity on an evolutionary time-scale. On a shorter time-scale, a single-genotype pathogen population may display wide variation in persistence times and exhibit biphasic decay.MethodsWe use a transmission modeling framework to develop an infectious disease model with biphasic pathogen decay. We take a differential algebra approach to assessing model identifiability, calculate basic reproduction numbers by the next generation method, and use simulation to explore model dynamics.ResultsFor both long and short time-scales, we demonstrate that epidemic-potential-preserving trade-offs have implications for epidemic dynamics: less infectious, more persistent pathogens cause epidemics to progress more slowly than more infectious, less persistent (labile) pathogens, even when the overall risk is the same. Using identifiability analysis, we show that the usual disease surveillance data does not sufficiently inform these underlying pathogen population dynamics, even when combined with basic environmental monitoring data. However, risk could be indirectly ascertained by developing methods to separately monitor labile and persistent subpopulations. Alternatively, determining the relative infectivity of persistent pathogen subpopulations and the rates of phenotypic conversion will help ascertain how much disease risk is associated with the long tails of biphasic decay.ConclusionA better understanding of persistence–infectivity trade-offs and associated dynamics can improve our ecological understanding of environmentally transmitted pathogens, as well as our risk assessment and disease control strategies.

【 授权许可】

CC BY