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DTSTART:20231102T020000
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BEGIN:VEVENT
DESCRIPTION:All are welcome to join the Atlanta chapter for an exciting mee
ting on May 27\, 2021! The meeting will be held virtually via Zoom\, and a
very interesting and topical talk will be featured.\n\nSee the meeting fl
yer for more information: \;Atlanta May 2021 Meeting Information\n\nDa
te/Time: May 27\, 2021. 5:15 PM - 6:30 PM EDT\n\n\nLocation: Zoom (link be
low)\nhttps://incose-org.zoom.us/j/91562624849?pwd=dFpyaWtUZFNLd3N2MmJyTnZ
xdUFUdz09\n\nMeeting ID: 915 6262 4849\nPasscode: 680244\n\n\nAgenda:\n5:1
5 - 5:30 PM -------- President's Remarks\n5:30 - 6:30 PM \;--------Pro
gram\n\n\nAbstract:\nThe global pandemic of COVID-19 has exposed how under
-prepared healthcare systems and their interconnected systems are to deal
with such an event. Due to regional differences in level of community spre
ad and capacity of healthcare systems\, each region is presented with thei
r own unique challenges when it comes to responding to the outbreak and as
we begin down the road of vaccine distribution new demands on these syste
ms arise. Our focus in this study is to implement system dynamic modeling
to assess policies aimed to prevent the transmission of the virus and to s
ave lives in the state of Georgia. In our scenario analysis\, we utilize S
EIRD-based model and connect it to a vaccine distribution model composed o
f multiple variables that account for timing\, efficiency\, willingness\,
and prioritization of different population categories. The hypotheses that
we tested in our connected model are: (1) distribution of vaccine solely
based on age will result to lower death rate\, but it might increase the c
ommunity spread within the first months and (2) distribution of first dose
s of vaccine to a wider population while postponing the second dose\, will
result in lower death rates and lower community spread. While we examine
the accuracy of these hypotheses\, we model different scenarios to change
the priorities of population categories (e.g. healthcare and frontline wor
kers\, teachers\, essential workers\, resident of long term care facilitie
s\, etc.) in order to investigate the impact that these scenarios have on
the total number of COVID-19 related deaths in Georgia.\n\n\nSpeaker Bios:
\nDr. Amin Esmaeili is an Assistant Professor of Systems Engineering at Ke
nnesaw State University &ndash\; Marietta. \nMelanie Cardenas is a student
at KSU Marietta and the Winner of this Semester&rsquo\;s Systems Engineer
ing Senior Project. This presentation is an overview of her work. The INCO
SE Atlanta Chapter has made a monetary award to Ms. Cardenas for her achie
vement.
DTEND:20210528T013000Z
DTSTAMP:20240328T110814Z
DTSTART:20210528T001500Z
LOCATION:
SEQUENCE:0
SUMMARY:Atlanta May 2021 Meeting - "Simulation-based What-if Analysis for G
eorgia Vaccination Distribution Policy"
UID:RFCALITEM638472028944118674
X-ALT-DESC;FMTTYPE=text/html:All are welcome to join the Atlanta chapter fo
r an exciting meeting on May 27\, 2021! The meeting will be held virtually
via Zoom\, and a very interesting and topical talk will be featured.
\n
\nSee the meeting flyer for more information: \;Atlanta May 2021 Meeting Information
\n
\nDate/
Time: May 27\, 2021. 5:15 PM - 6:30 PM EDT
\n
\n
\
nLocation: Zoom (link below)
\nhttps:/
/incose-org.zoom.us/j/91562624849?pwd=dFpyaWtUZFNLd3N2MmJyTnZxdUFUdz09
\n
\nMeeting ID: 915 6262 4849
\nPasscode: 680244
\n<
br />\n
\nAgenda:
\n5:15 - 5:30 PM -------- Pre
sident's Remarks
\n5:30 - 6:30 PM \;--------Program
\n
\n
\nAbstract:
\nThe global pandemic of COVID-1
9 has exposed how under-prepared healthcare systems and their interconnect
ed systems are to deal with such an event. Due to regional differences in
level of community spread and capacity of healthcare systems\, each region
is presented with their own unique challenges when it comes to responding
to the outbreak and as we begin down the road of vaccine distribution new
demands on these systems arise. Our focus in this study is to implement s
ystem dynamic modeling to assess policies aimed to prevent the transmissio
n of the virus and to save lives in the state of Georgia. In our scenario
analysis\, we utilize SEIRD-based model and connect it to a vaccine distri
bution model composed of multiple variables that account for timing\, effi
ciency\, willingness\, and prioritization of different population categori
es. The hypotheses that we tested in our connected model are: (1) distribu
tion of vaccine solely based on age will result to lower death rate\, but
it might increase the community spread within the first months and (2) dis
tribution of first doses of vaccine to a wider population while postponing
the second dose\, will result in lower death rates and lower community sp
read. While we examine the accuracy of these hypotheses\, we model differe
nt scenarios to change the priorities of population categories (e.g. healt
hcare and frontline workers\, teachers\, essential workers\, resident of l
ong term care facilities\, etc.) in order to investigate the impact that t
hese scenarios have on the total number of COVID-19 related deaths in Geor
gia.
\n
\n
\nSpeaker Bios:
\nDr. Amin
Esmaeili is an Assistant Professor of Systems Engineering at Kennesaw Sta
te University &ndash\; Marietta.
\nMelanie Cardenas is a student at
KSU Marietta and the Winner of this Semester&rsquo\;s Systems Engineering
Senior Project. This presentation is an overview of her work. The INCOSE A
tlanta Chapter has made a monetary award to Ms. Cardenas for her achieveme
nt.
END:VEVENT
END:VCALENDAR