Using simulation to infer key parameters of the black rat colonization in Senegal during the elapsed century
Jean Le Fur  1, *@  , Jean-Marc Duplantier  1@  , Laurent Granjon  1@  , Pascal Handschumacher  2@  , Jérôme Lombard  3@  , Héloïse Luccacioni  4@  , Pape Mboup  5@  , Olivier Ninot  6@  
1 : Centre de Biologie pour la Gestion des Populations  (CBGP)
Institut de recherche pour le développement [IRD] : UMR022
2 : SESSTIM
Institut de recherche pour le développement [IRD] : UMR912
3 : PRODIG
Institut de recherche pour le développement [IRD] : UMR8586
4 : Sciences Economiques et Sociales de la Santé et Traitement de l'Information Médicale  (SESSTIM)
Institut de recherche pour le développement [IRD] : UMR912
5 : Centre de Biologie pour la Gestion des Populations  (CBGP)
6 : Pôle de recherche pour l'organisation et la diffusion de l'information géographique  (PRODIG)  -  Website
École Pratique des Hautes Études [EPHE], Université Paris VII - Paris Diderot, Université Paris IV - Paris Sorbonne, Université Paris I - Panthéon-Sorbonne, CNRS : UMR8586, Institut de recherche pour le développement [IRD] : UR215
PRODIG - 2 rue Valette - 75005 Paris -  France
* : Corresponding author

The twentieth century was the seat of the black rat expansion in Senegal via commercial transport, beginning with its propagation along the colonial posts until his appearance at the southeastern edge and through its presence in groundnut trade economic areas.
The analysis of a colonization process of this national and secular magnitude by a commensal species implies integrated consideration of bio-ecological and socio-economic factors. These evolve in close dependancies due the historic and systemic dimension of the phenomenon.
On the other hand, such a reconstruction is complicated by the difficulty to quantify key parameters determining the observed phenomenon. Among them, the chance of boarding rodents in various vehicles is a critical unknown.
It is proposed in this study to estimate, at least in terms of order of magnitude, the value of this key parameter by inference from a model of the colonization process. Within an individual based simulator, we reconstituted the geographical and historical features of trade development (roads, traffic, vehicle parks, and urban populations) as well as the boarding process and demographics of the rodent studied. Using sensitivity analysis, the various determinants of the dynamics of colonization were varied. Then, by comparing the patterns produced with in situ observations of the black rat distribution, we inferred the best values for the unknown parameter.
The values obtained are discussed as well as the weight of other key factors involved in the colonization dynamics such as the required level of the rodents' source (primarily city of Dakar) and their implantation conditions.


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