@article{fdi:010070103, title = {{M}odeling spatial variation in risk of presence and insecticide resistance for malaria vectors in {L}aos}, author = {{S}ouris, {M}arc and {M}arcombe, {S}. and {L}aforet, {J}. and {B}rey, {P}. {T}. and {C}orbel, {V}incent and {O}vergaard, {H}. {J}.}, editor = {}, language = {{ENG}}, abstract = {{C}limatic, sociological and environmental conditions are known to affect the spatial distribution of malaria vectors and disease transmission. {I}ntensive use of insecticides in the agricultural and public health sectors exerts a strong selective pressure on resistance genes in malaria vectors. {S}patio-temporal models of favorable conditions for {A}nopheles species' presence were developed to estimate the probability of presence of malaria vectors and insecticide resistance in {L}ao {PDR}. {T}hese models were based on environmental and meteorological conditions, and demographic factors. {GIS} software was used to build and manage a spatial database with data collected from various geographic information providers. {GIS} was also used to build and run the models. {R}esults showed that potential insecticide use and therefore the probability of resistance to insecticide is greater in the southwestern part of the country, specifically in {C}hampasack province and where malaria incidence is already known to be high. {T}hese findings can help national authorities to implement targeted and effective vector control strategies for malaria prevention and elimination among populations most at risk. {R}esults can also be used to focus the insecticide resistance surveillance in {A}nopheles mosquito populations in more restricted area, reducing the area of surveys, and making the implementation of surveillance system for {A}nopheles mosquito insecticide resistance possible.}, keywords = {{LAOS}}, booktitle = {}, journal = {{P}los {O}ne}, volume = {12}, numero = {5}, pages = {e0177274 [22 p.]}, ISSN = {1932-6203}, year = {2017}, DOI = {10.1371/journal.pone.0177274}, URL = {https://www.documentation.ird.fr/hor/fdi:010070103}, }