BEGIN:VCALENDAR VERSION:2.0 PRODID:-//University of California\, Berkeley//UCB Events Calendar//EN CALSCALE:GREGORIAN METHOD:PUBLISH BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 DTSTART:19701029T020000 RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU END:STANDARD BEGIN:DAYLIGHT DTSTART:19700402T020000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20190119T002416Z DTSTART;TZID=America/Los_Angeles:20190125T120000 DTEND;TZID=America/Los_Angeles:20190125T140000 TRANSP:OPAQUE SUMMARY:Fighting mosquito-borne diseases with mathematical models\, genetic analysis and machine learning ORGANIZER;CN="UC Berkeley Calendar Network": LOCATION:5400 Berkeley Way West DESCRIPTION:John Marshall\, PhD\n\nMalaria\, dengue\, Zika and other mosquito-borne diseases continue to pose a major global health burden through much of the world\, despite the widespread distribution of insecticide-based tools and antimalarial drugs. Consequently\, there is interest in novel strategies to control these diseases\, including the release of mosquitoes transfected with Wolbachia and engineered with CRISPR-based gene\ndrive systems. The safety and efficacy of these strategies\, and considerations regarding field trial design\, are critically dependent upon a detailed understanding of the distribution of mosquitoes and their movement between habitat patches at both fine and broad spatial scales. In this talk\, I will outline the work of my research group in using mathematical models to inform the safe implementation of CRISPR-based gene drive strategies to control mosquito populations\, and the use of Bayesian model fitting techniques to characterize these systems. I will also\ndiscuss two new research directions in our group: i) using machine learning to characterize mosquito habitat distribution\, and ii) using genetic sequencing and likelihood-based kinship analysis to characterize the fine-scale movement patterns of mosquitoes of relevance to control. URL: SEQUENCE:0 CLASS:PUBLIC CREATED:20190119T002416Z LAST-MODIFIED:20190119T002416Z X-MICROSOFT-CDO-BUSYSTATUS:BUSY X-MICROSOFT-CDO-INSTTYPE:0 X-MICROSOFT-CDO-IMPORTANCE:1 X-MICROSOFT-CDO-OWNERAPPTID:-1 END:VEVENT END:VCALENDAR