Wildlife Sickness Reporting

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A prototype done at Epihack in Chiang Mai, Thailand.

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Wildlife Sickness Reporting

  1. 1. Wildlife sickness reporting How can we help?
  2. 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. 3. How can we improve?
  4. 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. 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. 6. Let’s see it!
  7. 7. What a ranger needs to report • Species • Number of dead animals • Number of sick animals • Location • Photo of the report
  8. 8. Smartphone reporting Unified database • Simple short form • GPS location through phone or network • Photo upload • Friendly interface
  9. 9. Voice call reporting • Short call flow • Modifiable • 4 questions: • What animal? How many dead? How many sick? Where?
  10. 10. Seeing reported data • All reports collected in a single map • Each pin marks a report • More pins = More cases. Outbreak suspicion?
  11. 11. Seeing reported data • Possible updates of cases online • Assign locations to hotline cases • Correct erroneous reports
  12. 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. 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. 14. Demo time Thank you!

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