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X-WR-CALNAME:Biomedical Mathematics Group
X-ORIGINAL-URL:https://www.ibs.re.kr/bimag
X-WR-CALDESC:Events for Biomedical Mathematics Group
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BEGIN:VTIMEZONE
TZID:Asia/Seoul
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TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:KST
DTSTART:20230101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20241113T160000
DTEND;TZID=Asia/Seoul:20241113T170000
DTSTAMP:20260501T182553
CREATED:20240829T003616Z
LAST-MODIFIED:20240829T005258Z
UID:9996-1731513600-1731517200@www.ibs.re.kr
SUMMARY:Mathematical models for malaria - Jennifer Flegg
DESCRIPTION:Abstract:  The effect of malaria on the developing world is devastating. Each year there are more than 200 million cases and over 400\,000 deaths\, with children under the age of five the most vulnerable. Ambitious malaria elimination targets have been set by the World Health Organization for 2030. These involve the elimination of the disease in at least 35 countries. However\, these malaria elimination targets rest precariously on being able to treat the disease appropriately; a difficult feat with the emergence and spread of antimalarial drug resistance\, along with many other challenges. In this talk\, I will introduce several statistical and mathematical models that can be used to monitor malaria transmission and to support malaria elimination. For example\, I’ll present mechanistic models of disease transmission\, statistical models that allow the emergence and spread of antimalarial drug resistance to be monitored\, mechanistic models that capture the role of bioclimatic factors on the risk of malaria and optimal geospatial sampling schemes for future malaria surveillance. I will discuss how the results of these models have been used to inform public health policy and support ongoing malaria elimination efforts.
URL:https://www.ibs.re.kr/bimag/event/mathematical-models-for-malaria/
LOCATION:ZOOM ID: 997 8258 4700 (Biomedical Mathematics Online Colloquium)\, (pw: 1234)
CATEGORIES:Biomedical Mathematics Online Colloquium
ATTACH;FMTTYPE=image/jpeg:https://www.ibs.re.kr/bimag/cms/wp-content/uploads/2024/08/Jennifer-Flegg-e1724892764918.jpeg
ORGANIZER;CN="Jae Kyoung Kim":MAILTO:jaekkim@kaist.ac.kr
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