Covariation between the physiological and behavioral components of pathogen transmission: host heterogeneity determines epidemic outcomes
Covariation between the physiological and behavioral components of pathogen transmission: host heterogeneity determines epidemic outcomes
复制标题
病原体传播的生理和行为成分之间的协变:宿主异质性决定流行病结果
DOI:
10.1111/oik.04527
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发表时间:
2018
期刊:
影响因子:
3.4
通讯作者:
Craft, Meggan E.
中科院分区:
文献类型:
--
作者:
White, Lauren A.;Forester, James D.;Craft, Meggan E.
Although heterogeneity in contact rate, physiology, and behavioral response to infection have all been empirically demonstrated in host–pathogen systems, little is known about how interactions between individual variation in behavior and physiology scale‐up to affect pathogen transmission at a population level. The objective of this study is to evaluate how covariation between the behavioral and physiological components of transmission might affect epidemic outcomes in host populations. We tested the consequences of contact rate covarying with susceptibility, infectiousness, and infection status using an individual‐based, dynamic network model where individuals initiate and terminate contacts with conspecifics based on their behavioral predispositions and their infection status. Our results suggest that both heterogeneity in physiology and subsequent covariation of physiology with contact rate could powerfully influence epidemic dynamics. Overall, we found that 1) individual variability in susceptibility and infectiousness can reduce the expected maximum prevalence and increase epidemic variability; 2) when contact rate and susceptibility or infectiousness negatively covary, it takes substantially longer for epidemics to spread throughout the population, and rates of epidemic spread remained suppressed even for highly transmissible pathogens; and 3) reductions in contact rate resulting from infection‐induced behavioral changes can prevent the pathogen from reaching most of the population. These effects were strongest for theoretical pathogens with lower transmissibility and for populations where the observed variation in contact rate was higher, suggesting that such heterogeneity may be most important for less infectious, more chronic diseases in wildlife. Understanding when and how variability in pathogen transmission should be modelled is a crucial next step for disease ecology.
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影响因子:
8.8
作者:
Restif O;Hayman DT;Pulliam JR;Plowright RK;George DB;Luis AD;Cunningham AA;Bowen RA;Fooks AR;O'Shea TJ;Wood JL;Webb CT
通讯作者:
Webb CT
DOI:
10.1111/j.1365-2664.2007.01439.x
发表时间:
2008-04-01
期刊:
The Journal of applied ecology
影响因子:
--
作者:
Eisinger D;Thulke HH
通讯作者:
Thulke HH
影响因子:
3.4
作者:
J. Wilson White;A. Rassweiler;J. Samhouri;A. Stier;C. White
通讯作者:
J. Wilson White;A. Rassweiler;J. Samhouri;A. Stier;C. White
影响因子:
4.2
作者:
Begon, M;Bennett, M;Turner, J
通讯作者:
Turner, J
影响因子:
2.3
作者:
R. Welicky;P. Sikkel
通讯作者:
P. Sikkel