Presented by Tyler Radford, Executive Director for Humanitarian OpenStreetMap, at the 2017 GIS Working Group Annual Meeting.

1. OpenStreetMap:
Open geodata for health and development programs
@TylerSRadford
Humanitarian OpenStreetMap Team (HOT)

2. Typical “best available” map: Zwedru, Liberia

3. Hananasif, Dar es Salaam, Tanzania
January 2015

4. Mapping for flood resilience in Dar es Salaam
4
Urban flooding, Dar es Salaam, Tanzania

5. Hananasif, Dar es Salaam, Tanzania
January 2017

6. Believe it or not,
much of our world’s complexity isn’t mapped

7. Huge areas of the world have been mapped in detail…
…But lots left to do

8. Working together to create global base data in most
vulnerable areas of the world

9. Missing Maps: Global

10. Remote mapping: Aerial imagery

11. Remote mapping: Digitization

12. Remote mapping: Vector data

13. Missing Maps: Local

14. 45k Volunteers | Hundreds of communities all over the world

15. Moving forward: YOUTH
• Minimapathons etc
YouthMappers at Texas Tech University
Photo: YouthMappers at Texas Tech University

16. Indonesia HOT / OSM Community

17. OpenStreetMap: 3 million+ registered users

18. They want to help.
They work quickly!

19. Gueckedou March 26, 2014
(OpenStreetMap)

20. Within 5 days,
244 volunteers mapped 90,000+ buildings
Before After

21. Mamou, Guinea
29 hours
68 contributors
20,105
buildings

22. Vaccination planning and fumigation
22
OK Great.
So how can I actually use this in my country / program?
(Some ideas)
Photo: MSF

23. Vaccination planning and fumigation
Photo: MSF
American Red Cross:
Identifying Measles vaccine
success and follow-up
locations in Malawi

24. Vaccination planning and fumigation
24
Kinshasa, DRC: August 2016
Yellow Fever – 10 million vaccinated
Photo: MSF

25. Data viz – malaria
Mapping for Malaria Elimination: As of today
600,000 km2 | 4.5M buildings | 4000 volunteers

26. Validate physical
enumeration
Plan + execute spray
campaigns with less time
and resources
Guide bednet distribution
and spray teams
efficiently
Visualise progress /
exceed minimum coverage
Identify breeding sites +
sprayable vs. non-sprayable
structures
Visualise program
activities e.g. refusal
rates across regions
Enable active surveillance,
not just passive
As malaria incidence goes
down maps are critical to
identify foci locations and
drivers
Malaria elimination:
OpenStreetMap use cases for M&E and intervention planning

27. CHAI is using data from OpenStreetMap to:
● Plan bednet distribution in Cambodia and Laos
● Plan spray campaigns in Botswana
● Define community boundaries in countries where there are no spatial files, and
identify communities which may benefit from malaria control programs in
Guatemala and Honduras
● Understand population size in areas where civil registration is low
● Increase active surveillance to communities they did not know existed
● Conduct village level sampling
Abt + Presidents Malaria Initiative are using OSM data to:
● Ensure coverage: validate physical household enumeration studies to ensure their
operations team visit all households, that they would otherwise miss
● Build a mobile data collection application for spray campaign Team Leaders, so
Spray Operators can enter data on houses they visit, view structures on a map that
have been sprayed, have been visited but not sprayed, and have yet to be visited, in
real-time based on a color coding scheme.
● Filter map views of the enumerated households based on the spray data collected,
such as refusal rates in different regions, can help drive management decisions to
ensure we achieve optimal spray coverage.
Malaria elimination:
Recent case studies

28. Case Management
Diagnosis and Treatment
LLIN IRS
Vector Control
Supporting OSM
Data
Operational data
derived from
OSM
* health facility locations
* marketplace and
population centers
* health facility locations
* marketplace and
population centers
* roads and other
infrastructure
information
* lakes/rivers/streams
* health facility catchment
area / access maps
* risk mapping
* health facility placement
maps
* health facility catchment
areas
* risk mapping
* LLIN coverage maps
* risk maps
* campaign coverage maps
* structure prioritization
maps
* marketplace and
population centers
* sprayable structures
(building footprints and
attribute information)
* roads and other
infrastructure information
* lakes/rivers/streams

29. Vaccination planning and fumigation
29
Six tips and tricks for getting your hands dirty
Photo: MSF

30. 30Photo: MSF
ArcGIS Editor for
OpenStreetMap plugin
QGIS: Built-in
Tip #1 – Use OSM as a base layer in your maps

31. 31Photo: MSF
Tip #2 – Grab sector-specific data for your program:
export.hotosm.org

32. healthsites.io great for health facility data sets

33. Vaccination planning and fumigation
33
What do I do if there are data gaps where I’m working?
Photo: MSF

34. Tip #3: Task the HOT global community

35. HOT Global Impact Map
Come find us!

36. Tip #4: Offline maps on your phone / quickly add map points

37. User friendly mobile tools
37
Tip #5: Survey tools for baseline data / indicator monitoring

38. OpenMapKit (OMK)
38
OpenMapKit – Add detail attributes to buildings, points

39. OpenMapKit (OMK)
39
OpenMapKit – Custom forms for each use case

40. Field papers
40
Fieldpapers.org for dividing and walking a survey area

41. Tip #6: Drone imagery!

55. Get OpenStreetMap data
osm.org
QGIS / ArcGIS editor for OSM plugin
export.hotosm.org
Get open drone/satellite imagery:
openaerialmap.org
OSM in the field & on your phone:
fieldpapers.org / Maps.me /
openmapkit.org
Photo: MSF
Recap: free and open source tools!
Tyler Radford
@TylerSRadford
tyler.radford@hotosm.org
info@hotosm.org