<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Adjemian, J. C. Z.</style></author><author><style face="normal" font="default" size="100%">Girvetz, E. H.</style></author><author><style face="normal" font="default" size="100%">Beckett, L.</style></author><author><style face="normal" font="default" size="100%">Foley, J. E.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Analysis of Genetic Algorithm for Rule-Set Production (GARP) modeling approach for predicting distributions of fleas implicated as vectors of plague, Yersinia pestis, in California</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Medical Entomology</style></secondary-title><alt-title><style face="normal" font="default" size="100%">J. Med. Entomol.</style></alt-title><short-title><style face="normal" font="default" size="100%">J. Med. Entomol.J. Med. Entomol.</style></short-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">California</style></keyword><keyword><style  face="normal" font="default" size="100%">CERATOPHYLLIDAE</style></keyword><keyword><style  face="normal" font="default" size="100%">COUNTY</style></keyword><keyword><style  face="normal" font="default" size="100%">fleas</style></keyword><keyword><style  face="normal" font="default" size="100%">GARP</style></keyword><keyword><style  face="normal" font="default" size="100%">PASTEURELLA-PESTIS</style></keyword><keyword><style  face="normal" font="default" size="100%">plague</style></keyword><keyword><style  face="normal" font="default" size="100%">RODENT</style></keyword><keyword><style  face="normal" font="default" size="100%">SAN-FRANCISCO</style></keyword><keyword><style  face="normal" font="default" size="100%">SIPHONAPTERA</style></keyword><keyword><style  face="normal" font="default" size="100%">SMALL MAMMALS</style></keyword><keyword><style  face="normal" font="default" size="100%">SYLVATIC PLAGUE</style></keyword><keyword><style  face="normal" font="default" size="100%">TRANSMISSION</style></keyword><keyword><style  face="normal" font="default" size="100%">UNITED-STATES</style></keyword><keyword><style  face="normal" font="default" size="100%">vector</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2006</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Jan</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">1</style></number><volume><style face="normal" font="default" size="100%">43</style></volume><pages><style face="normal" font="default" size="100%">93-103</style></pages><isbn><style face="normal" font="default" size="100%">0022-2585</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">More than 20 species of fleas in California are implicated as potential vectors of Yersinia pestis. Extremely limited spatial data exist for plague vectors-a key component to understanding where the greatest risks for human, domestic animal, and wildlife health exist. This study increases the spatial data available for 13 potential plague vectors by using the ecological niche modeling system Genetic Algorithm for Rule-Set Production (GARP) to predict their respective distributions. Because the available sample sizes in our data set varied greatly from one species to another, we also performed an analysis of the robustness of CARP by using the data available for flea Oropsylla montana (Baker) to quantify the effects that sample size and the chosen explanatory variables have on the final species distribution map. CARP effectively modeled the distributions of 13 vector species. Furthermore, our analyses show that all of these modeled ranges are robust, with a sample size of six fleas or greater not significantly impacting the percentage of the in-state area where the flea was predicted to be found, or the testing accuracy of the model. The results of this study will help guide the sampling efforts of future studies focusing on plague vectors.</style></abstract><work-type><style face="normal" font="default" size="100%">Article</style></work-type><accession-num><style face="normal" font="default" size="100%">ISI:000234700300013</style></accession-num><notes><style face="normal" font="default" size="100%">ISI Document Delivery No.: 003RWTimes Cited: 0Cited Reference Count: 51</style></notes><auth-address><style face="normal" font="default" size="100%">Univ Calif Davis, Sch Vet Med, Ctr Vectorborne Dis, Davis, CA 95616 USA. Univ Calif Davis, Div Landscape Sci, Davis, CA 95616 USA. Univ Calif Davis, Sch Med, Div Biostat, Davis, CA 95616 USA. Univ Calif Davis, Dept Med &amp; Epidemiol, Sch Vet Med, Davis, CA 95616 USA.Adjemian, JCZ, Univ Calif Davis, Sch Vet Med, Ctr Vectorborne Dis, Davis, CA 95616 USA.</style></auth-address></record></records></xml>