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Wildlife Sickness Reporting
Wildlife Sickness Reporting
Wildlife Sickness Reporting
Wildlife Sickness Reporting
Wildlife Sickness Reporting
Wildlife Sickness Reporting
Wildlife Sickness Reporting
Wildlife Sickness Reporting
Wildlife Sickness Reporting
Wildlife Sickness Reporting
Wildlife Sickness Reporting
Wildlife Sickness Reporting
Wildlife Sickness Reporting
Wildlife Sickness Reporting
Wildlife Sickness Reporting
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Wildlife Sickness Reporting

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A prototype done at Epihack in Chiang Mai, Thailand.

A prototype done at Epihack in Chiang Mai, Thailand.

Published in: Mobile
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Transcript

  • 1. Wildlife sickness reporting How can we help?
  • 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
  • 6. Let’s see it!
  • 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. Seeing reported data • All reports collected in a single map • Each pin marks a report • More pins = More cases. Outbreak suspicion?
  • 11. Seeing reported data • Possible updates of cases online • Assign locations to hotline cases • Correct erroneous reports
  • 12. 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
  • 13. 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
  • 14. Demo time Thank you!

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