BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//talks.staging.osgeo.org//qgis-uc2024//speaker//FVHUDD
BEGIN:VTIMEZONE
TZID:CET
BEGIN:STANDARD
DTSTART:20001029T040000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:CET
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20000326T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:CEST
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-qgis-uc2024-TM3YD3@talks.staging.osgeo.org
DTSTART;TZID=CET:20240910T140000
DTEND;TZID=CET:20240910T143000
DESCRIPTION:It is estimated there are approximately 17 million children wor
 ldwide who have been received a singular vaccine\, otherwise known as zero
 -dose children\, in 2020. This has been made worse due to COVID\, economic
  crises\, conflict\, and decline in vaccine confidence and it is expected 
 to increase. These gaps in immunizations put children at risk\, put an inc
 reased burden on healthcare systems\, and move the goalposts for eradicati
 on\, as we have seen with polio. To address this issue\, it is important t
 o be able to map the number of zero and under dosed children\, but previou
 s geospatial mapping techniques were either too resource heavy or focused 
 on the country level. Adjusting current methodologies this has allowed us 
 to develop a light touch geospatial methodology that 1) modifies the way w
 e calculate the number of zero dose children and 2) uses open-source softw
 are and data to create profiles at a second administrative level (i.e.: di
 strict) to understand what barriers caregivers face when accessing healthc
 are and challenges supply chains face to provide materials. To conduct our
  work\, we use QGIS to map the percentage of zero dose children and then u
 se open-source datasets to calculate the distance people have to travel fr
 om each populated place to the closest health facility\, location of recen
 t conflicts\, flood/drought risk\, food security\, languages spoken\, topo
 graphy\, etc. to understand what variables could be affecting the number o
 f zero-dose children. We piloted our work in two provinces in Mozambique a
 nd have been able to scale up our work to three additional countries\, DRC
 \, Malawi\, and Côte d'Ivoire.
DTSTAMP:20260413T204302Z
LOCATION:B320
SUMMARY:Using QGIS and open-source data to develop a light touch geospatial
  methodology to identify barriers supply chains face to deliver routine im
 munizations at the district level - Steffanie Sinclair-Chritz
URL:https://talks.staging.osgeo.org/qgis-uc2024/talk/TM3YD3/
END:VEVENT
END:VCALENDAR