{"id":5650,"date":"2021-07-28T14:37:06","date_gmt":"2021-07-28T12:37:06","guid":{"rendered":"https:\/\/mivegec.fr\/project\/anr-quasar-quantitative-antimicrobial-resistance-control-strategies-and-evolutionary-adaptation-of-parasitical-virulence-and-resistance"},"modified":"2021-07-28T14:37:06","modified_gmt":"2021-07-28T12:37:06","slug":"anr-quasar-quantitative-antimicrobial-resistance-control-strategies-and-evolutionary-adaptation-of-parasitical-virulence-and-resistance","status":"publish","type":"project","link":"https:\/\/mivegec.fr\/en\/project\/anr-quasar-quantitative-antimicrobial-resistance-control-strategies-and-evolutionary-adaptation-of-parasitical-virulence-and-resistance","title":{"rendered":"ANR QUASAR : QUantitative Antimicrobial resistance: control Strategies and evolutionary Adaptation of parasitical virulence and Resistance"},"content":{"rendered":"<p>In view of the multiple pathogen evolution capabilities, the long-term efficacy of antimicrobials is a major public health problem. Defining sustainable strategies for managing antimicrobials efficiency, in space and time, must: (i) consider the continuous character of antimicrobial resistance -i.e. quantitative resistance- with varying degrees of intermediate resistance (called tolerance), and (ii) clarify the evolutionary relationships between virulence and quantitative resistance in colonizing parasites. Recommendations stemming from solid mathematical models are lacking to help fighting antimicrobial resistance. The QUASAR project will address this challenge through an approach combining predictive mathematical analysis, scientific computing, optimization-control of an integro-differential system with non-local terms, which is suitable to study evolutionary (epidemiological and within-host) dynamics of biological processes, without the time scale separation hypothesis.<\/p>\n<p>Project leader : <a href=\"https:\/\/mivegec.fr\/fr\/annuaire\/agent?id=281\">Rams\u00e8s Djidjou Demasse<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In view of the multiple pathogen evolution capabilities, the long-term efficacy of antimicrobials is a major public health problem. Defining sustainable strategies for managing antimicrobials efficiency, in space and time, must: (i) consider the continuous character of antimicrobial resistance -i.e. quantitative resistance- with varying degrees of intermediate resistance (called tolerance), and (ii) clarify the evolutionary [&hellip;]<\/p>\n","protected":false},"author":5,"featured_media":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"project_category":[69],"project_tag":[],"class_list":["post-5650","project","type-project","status-publish","hentry","project_category-ds4-en"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>ANR QUASAR : QUantitative Antimicrobial resistance: control Strategies and evolutionary Adaptation of parasitical virulence and Resistance - MIVEGEC<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/mivegec.fr\/en\/project\/anr-quasar-quantitative-antimicrobial-resistance-control-strategies-and-evolutionary-adaptation-of-parasitical-virulence-and-resistance\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"ANR QUASAR : QUantitative Antimicrobial resistance: control Strategies and evolutionary Adaptation of parasitical virulence and Resistance - MIVEGEC\" \/>\n<meta property=\"og:description\" content=\"In view of the multiple pathogen evolution capabilities, the long-term efficacy of antimicrobials is a major public health problem. 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