Pathogen population dynamics in agricultural landscapes: The Ddal modelling framework

2014 ◽  
Vol 27 ◽  
pp. 509-520 ◽  
Author(s):  
Julien Papaïx ◽  
Katarzyna Adamczyk-Chauvat ◽  
Annie Bouvier ◽  
Kiên Kiêu ◽  
Suzanne Touzeau ◽  
...  
Keyword(s):  
Population Dynamics ◽  
Agricultural Landscapes ◽  
Pathogen Population ◽  
Modelling Framework

scholarly journals Wheat archive links long-term fungal pathogen population dynamics to air pollution

2005 ◽  
Vol 102 (15) ◽  
pp. 5438-5442 ◽  
Author(s):  
S. J. Bearchell ◽  
B. A. Fraaije ◽  
M. W. Shaw ◽  
B. D. L. Fitt
Keyword(s):  
Air Pollution ◽  
Population Dynamics ◽  
Fungal Pathogen ◽  
Pathogen Population

scholarly journals Unpacking the Allee effect: determining individual-level mechanisms that drive global population dynamics

2020 ◽  
Vol 476 (2241) ◽  
pp. 20200350
Author(s):  
Nabil T. Fadai ◽  
Stuart T. Johnston ◽  
Matthew J. Simpson
Keyword(s):  
Population Dynamics ◽  
Cell Biology ◽  
Allee Effect ◽  
Local Density ◽  
Growth Models ◽  
Logistic Growth ◽  
Allee Effects ◽  
Individual Level ◽  
Modelling Framework ◽  
Global Population

We present a solid theoretical foundation for interpreting the origin of Allee effects by providing the missing link in understanding how local individual-based mechanisms translate to global population dynamics. Allee effects were originally proposed to describe population dynamics that cannot be explained by exponential and logistic growth models. However, standard methods often calibrate Allee effect models to match observed global population dynamics without providing any mechanistic insight. By introducing a stochastic individual-based model, with proliferation, death and motility rates that depend on local density, we present a modelling framework that translates particular global Allee effects to specific individual-based mechanisms. Using data from ecology and cell biology, we unpack individual-level mechanisms implicit in an Allee effect model and provide simulation tools for others to repeat this analysis.

scholarly journals Refined Quantification of Infection Bottlenecks and Pathogen Dissemination with STAMPR

mSystems ◽  
2021 ◽  
Vol 6 (4) ◽  
Author(s):  
Karthik Hullahalli ◽  
Justin R. Pritchard ◽  
Matthew K. Waldor
Keyword(s):  
Population Dynamics ◽  
Pathogen Population

Barcoded bacteria are often employed to monitor pathogen population dynamics during infection. The accuracy of these measurements is diminished by unequal bacterial expansion rates.

scholarly journals A general method for multiscale modelling of vector-borne disease systems

2019 ◽  
Vol 10 (1) ◽  
pp. 20190047 ◽  
Author(s):  
Winston Garira ◽  
Faraimunashe Chirove
Keyword(s):  
Population Dynamics ◽  
Life Cycles ◽  
Multiscale Modelling ◽  
Vertebrate Host ◽  
River Blindness ◽  
Multiscale Models ◽  
Pathogen Population ◽  
Vector Borne Disease ◽  
Vector Borne ◽  
General Method

The inability to develop multiscale models which can describe vector-borne disease systems in terms of the complete pathogen life cycle which represents multiple targets for control has hindered progress in our efforts to control, eliminate and even eradicate these multi-host infections. This is because it is currently not easy to determine precisely where and how in the life cycles of vector-borne disease systems the key constrains which are regarded as crucial in regulating pathogen population dynamics in both the vertebrate host and vector host operate. In this article, we present a general method for development of multiscale models of vector-borne disease systems which integrate the within-host and between-host scales for the two hosts (a vertebrate host and a vector host) that are implicated in vector-borne disease dynamics. The general multiscale modelling method is an extension of our previous work on multiscale models of infectious disease systems which established a basic science and accompanying theory of how pathogen population dynamics at within-host scale scales up to between-host scale and in turn how it scales down from between-host scale to within-host scale. Further, the general method is applied to multiscale modelling of human onchocerciasis—a vector-borne disease system which is sometimes called river blindness as a case study.

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