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UID:pretalx-foss4g-2024-academic-track-38D7T8@talks.staging.osgeo.org
DTSTART;TZID=-03:20241204T164500
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DESCRIPTION:Abstract: \nGlobal Gap: Updated population estimates and total 
 households (HHs) per area\, typically obtained through a census\, are used
  to construct unbiased sampling frames necessary for accurate estimates in
  health surveys. These population and HH estimates are used to select a sm
 aller representative sample of enumeration areas (EAs) to visit for a publ
 ic health study. Several methods exist to select which HHs to visit at the
  EA level including systematic sampling (every nth HH)\, geographically sa
 mpling structures using satellite imagery\, segmenting an area\, and mappi
 ng and listing all HHs in the selected EA.  Accurate estimates are essenti
 al for public health programming and response\; however\, forty-two countr
 ies have not conducted a census for over a decade (United Nations Statisti
 cs Division 2024). Instead\, programs often generate an accurate sampling 
 frame by enumerating HHs within selected EAs obtaining answers to eligibil
 ity criteria\, drawing a sample from this enumerated list\, and navigating
  back to selected HHs. This requires considerable resources. To date\, no 
 free mobile-based application exists to streamline these processes.\nSolut
 ion: The GPSSample application is a user-friendly sampling solution to sel
 ect HHs within EAs. The study administrator makes a configuration in GPSSa
 mple creating the eligibility screening questions and specifying the numbe
 r or percent of HHs to return to in each EA. An example screening question
  for an immunization coverage survey question is: “Are there any childre
 n living in this HH between six and fifty-nine months old?”.  In GPSSamp
 le\, teams can rapidly enumerate HHs in an EA and collect answers to these
  screening questions. Teams send encrypted data to a supervisor via new lo
 cal-only mobile hotspot QR codes. Next\, the supervisor presses a button\,
  easily generating a simple random sample from the sampling frame of enume
 rated HHs. The selected HH list is sent to teams. Using GPSSample\, teams 
 navigate back to selected HHs to conduct surveys. GPSSample integrates sea
 mlessly with survey applications\, including ODK Collect and Kobo Toolbox\
 , opening the second app’s designated form.  Users send unique HH ids an
 d cluster data from GPSSample to the specified HH survey form. Upon saving
  the HH survey\, teams are returned to the GPSSample app to mark the statu
 s of the HH.  Teams use a map and a list view of selected HHs for monitori
 ng field work. Supervisors can view EA and study level summary statistics 
 in GPSSample to monitor field work.\nFurthermore\, the GPSSample app can b
 e used in surveys lacking any advanced information on population or areas 
 of concern. It is not necessary for a country to have conducted a census. 
 Supervisors can draw an area within GPSSample onsite\, segment the area\, 
 and assign to field teams to rapidly enumerate locations before sampling t
 hem for the assessment or survey. This novel capacity in GPSSample highlig
 hts the flexibility and potential for use in outbreak investigations and e
 mergency responses where HHs may be damaged or destroyed. Additionally\, f
 ood outbreak investigations conducted at market stalls or stores may not b
 e collated in a central list. While designed in the public health context\
 , GPSSample is useful for other disciplines. \n\nGPSSample is a free Andro
 id 8+ application available in six languages: English\, French\, Spanish\,
  Portuguese\, Russian\, and Bahasa. It is designed for field practitioners
  with limited mobile networks or Wi-Fi. The app was developed using the Ko
 tlin open-source language and it uses the open-source SQLite database. Use
 r guides\, GPSSample Decoder application decrypting data\, demonstration v
 ideos\, and Quarto analyses are available through the GPSSample GitHub sit
 e.\nUse Cases and Road Map: Development lessons learned will be presented 
 from two public health GPSSample application pilots in India and Kenya. We
  aim to engage the FOSS4G development community to enhance GPSSample’s g
 eospatial functionalities and learn best practices on maintaining and upda
 ting open-source code.  GPSSample currently uses Mapbox. Ideally in a futu
 re version\, users will also be able to select OpenStreetMap for the base 
 map and the app will include navigation using offline turn-by-turn instruc
 tions. \n\nReferences\nUnited Nations Statistics Division\, 2024: 2020 Wor
 ld Population and Housing Census Programme. Available at: https://unstats.
 un.org/unsd/demographic-social/census/censusdates/. Accessed 6/24/2024\, 2
 024.
DTSTAMP:20260513T175327Z
LOCATION:Room IV
SUMMARY:Bridging the Gap: GPSSample – An Innovative Tool for Enumeration 
 and Sampling in Health Surveys - Amber Dismer\, Joel Adegoke
URL:https://talks.staging.osgeo.org/foss4g-2024-academic-track/talk/38D7T8/
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