@article{fdi:010062550,
  title = {{S}imulating population genetics of pathogen vectors in changing landscapes : guidelines and application with {T}riatoma brasiliensis},
  author = {{R}ebaudo, {F}ran{\c{c}}ois and {C}osta, {J}. and {A}lmeida, {C}. {E}. and {S}ilvain, {J}ean-{F}ran{\c{c}}ois and {H}arry, {M}. and {D}angles, {O}livier},
  editor = {},
  language = {{ENG}},
  abstract = {{B}ackground: {U}nderstanding the mechanisms that influence the population dynamics and spatial genetic structure of the vectors of pathogens infecting humans is a central issue in tropical epidemiology. {I}n view of the rapid changes in the features of landscape pathogen vectors live in, this issue requires new methods that consider both natural and human systems and their interactions. {I}n this context, individual-based model ({IBM}) simulations represent powerful yet poorly developed approaches to explore the response of pathogen vectors in heterogeneous social-ecological systems, especially when field experiments cannot be performed. {M}ethodology/{P}rincipal {F}indings: {W}e first present guidelines for the use of a spatially explicit {IBM}, to simulate population genetics of pathogen vectors in changing landscapes. {W}e then applied our model with {T}riatoma brasiliensis, originally restricted to sylvatic habitats and now found in peridomestic and domestic habitats, posing as the most important {T}rypanosoma cruzi vector in {N}ortheastern {B}razil. {W}e focused on the effects of vector migration rate, maximum dispersal distance and attraction by domestic habitat on {T}. brasiliensis population dynamics and spatial genetic structure. {O}ptimized for {T}. brasiliensis using field data pairwise fixation index ({FST}) from microsatellite loci, our simulations confirmed the importance of these three variables to understand vector genetic structure at the landscape level. {W}e then ran prospective scenarios accounting for land-use change (deforestation and urbanization), which revealed that human-induced land-use change favored higher genetic diversity among sampling points. {C}onclusions/{S}ignificance: {O}ur work shows that mechanistic models may be useful tools to link observed patterns with processes involved in the population genetics of tropical pathogen vectors in heterogeneous social-ecological landscapes. {O}ur hope is that our study may provide a testable and applicable modeling framework to a broad community of epidemiologists for formulating scenarios of landscape change consequences on vector dynamics, with potential implications for their surveillance and control.},
  keywords = {{BRESIL}},
  booktitle = {},
  journal = {{P}los {N}eglected {T}ropical {D}iseases},
  volume = {8},
  numero = {8},
  pages = {art. e3068 [8 ]},
  ISSN = {1935-2735},
  year = {2014},
  DOI = {10.1371/journal.pntd.0003068},
  URL = {https://www.documentation.ird.fr/hor/fdi:010062550},
}