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DESCRIPTION: Public health is concerned with measures that improve the gene
ral health and prevent infections. In my talk\, I will give an overview and
outlook of our current work and explain how data science in conjunction wi
th mathematical modeling and simulation can be utilized to guide public hea
lth decisions. In particular\, I will present approaches that utilize prima
ry and secondary data of SARS-CoV-2 to permanently monitor and assess the p
andemic. Moreover\, I will give examples where these approaches supported t
he choice of containment and testing strategies in 2020/21. I will then giv
e some insight into our ongoing work in the field of HIV-1 prevention\, the
mathematical methods developed along the way\, and illustrate how this wor
k is used to quantify risk reduction\, to develop guidelines\, as well as t
o a posteriori assess the impact of interventions on the HIV pandemic.
DTSTAMP:20230130T102700
DTSTART:20230201T163000
CLASS:PUBLIC
LOCATION:Seminarraum 019\n Arnimallee 3\n 14195 Berlin
SEQUENCE:0
SUMMARY:Max von Kleist (FU-Berlin Antrittsvorlesung): Mathematics for publi
c health
UID:129321845@/www.mi.fu-berlin.de
URL:https://www.mi.fu-berlin.de/math/dates/colloquium/2022/01-02-Kleist.htm
l
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