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Wildlife sickness
reporting
How can we help?
What we have now
• Seasonal wildlife reporting done by rangers for MOH
• Individual ranger reports through different sources
• Paper reports
• Phone calls to each ranger’s director
• Slow and decentralised
How can we improve?
I want to report a case!
• We can provide an easier, faster reporting method
for rangers
• One short form with all required data
• Any time, any place through a mobile phone
• Web based for those with smartphones
• Hotline from feature phone
I want to know about all
reported cases
• Unified database for all cases. Phone and web reported
• Clearly see all reports in a map!
• Quickly detect abnormal activity and possible outbrakes
• Can easily be compared with human health systems to detect
patterns
• Get SMS alarms under special circumstances
• See information in Real Time!
• Take immediate action
Let’s see it!
What a ranger needs to
report
• Species
• Number of dead animals
• Number of sick animals
• Location
• Photo of the report
Smartphone reporting
Unified database
• Simple short
form
• GPS location
through phone or
network
• Photo upload
• Friendly
interface
Voice call reporting
• Short call flow
• Modifiable
• 4 questions:
• What animal? How many dead? How many
sick? Where?
Seeing reported data
• All reports collected in a single map
• Each pin marks a report
• More pins = More cases. Outbreak suspicion?
Seeing reported data
• Possible updates of cases online
• Assign locations to hotline cases
• Correct erroneous reports
Seeing reported data
• Data is in the cloud
• Permanent real time collection
• Accesible from anywhere
• Based on 2 existing platforms already in use:
reliability and safety
• System includes configurable SMS alerts for
Ministry officials in case of abnormal case counts
Back to basics
• What this prototype attempts to do
• Turn slow arriving data into real time reporting
• Have a unique database with all reports instead
of multiple sources
• Simplify the process for both reporting and data
analysis
Demo time
Thank you!

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Epihack Chiang Mai

  • 2. What we have now • Seasonal wildlife reporting done by rangers for MOH • Individual ranger reports through different sources • Paper reports • Phone calls to each ranger’s director • Slow and decentralised
  • 3. How can we improve?
  • 4. I want to report a case! • We can provide an easier, faster reporting method for rangers • One short form with all required data • Any time, any place through a mobile phone • Web based for those with smartphones • Hotline from feature phone
  • 5. I want to know about all reported cases • Unified database for all cases. Phone and web reported • Clearly see all reports in a map! • Quickly detect abnormal activity and possible outbrakes • Can easily be compared with human health systems to detect patterns • Get SMS alarms under special circumstances • See information in Real Time! • Take immediate action
  • 7. What a ranger needs to report • Species • Number of dead animals • Number of sick animals • Location • Photo of the report
  • 8. Smartphone reporting Unified database • Simple short form • GPS location through phone or network • Photo upload • Friendly interface
  • 9. Voice call reporting • Short call flow • Modifiable • 4 questions: • What animal? How many dead? How many sick? Where?
  • 10.
  • 11. Seeing reported data • All reports collected in a single map • Each pin marks a report • More pins = More cases. Outbreak suspicion?
  • 12. Seeing reported data • Possible updates of cases online • Assign locations to hotline cases • Correct erroneous reports
  • 13. Seeing reported data • Data is in the cloud • Permanent real time collection • Accesible from anywhere • Based on 2 existing platforms already in use: reliability and safety • System includes configurable SMS alerts for Ministry officials in case of abnormal case counts
  • 14. Back to basics • What this prototype attempts to do • Turn slow arriving data into real time reporting • Have a unique database with all reports instead of multiple sources • Simplify the process for both reporting and data analysis