Aquatic animal disease surveillance

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Terence McCormick
7 years ago
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1 Aquatic animal disease surveillance Implementing big surveillance using farmer-focused systems Angus Cameron

2 Surveillance guides

3 Surveillance case study Terrestrial animals, Indonesia Surveillance issues Antimicrobial resistance Quality of veterinary services Disease distribution and spread

4 Total cases reported per month No treatment Treatment

5 Treatment reports No treatment Treatment

6 Cases treated Cases Animals Antibiotic treatments

7 Animals treated Cases Animals Antibiotic treatments

8 Animals treated with antibiotics Cases Animals Antibiotic treatments

9 What antimicrobials are the animals being treated with?

10 Animals treated VET-OXY LA VET-OXY SB COLIBACT INJEKSI Limoxin 200 LA MEDOXY - L SULFA STRONG LIMOXIN-200 LA COLIBACT BOLUS KALOXY VET MEDOXY LA LIMOXIN - 50 PYROXY PENSTREP-400 OXYTETRA 200 LA Penstrep 400 INTERTRIM LA PEN & STREP AQUAPRIM 4/20 INJECTION TERRAMYCIN LA INJECTABLE SOLUTION CRISTALLINE PROCAINE PENICILLINE G Roxine INJ. INTRAMOX-150 LA LIMOXIN - 25 SPRAY INTERFLOX - 100

11 What diseases is Vet-Oxy LA being used for?

12 Cases treated with Vetoxy-LA Bovine Ephemeral Fever Pink Eye Helminthiasis Myiasis Accident Pneumonia Retained foetal membranes Scabies Dystocia Bovine Viral Diarrhea Malnutrition Orf Other disease Thelaziasis Canine Infectious Tracheobronchitis Salmonellosis Coccidiosis Mastitis Septichaemia Epizootica No disease, not sick Enteritis Dermatitis Uterine prolapse Colibacillosis Bloat/Ruminal tympany Vaginal prolapse Baliziekte Calcium deficiency

13 Who is treating bovine ephemeral fever (BEF) with Vet-Oxy LA?

14 Name Role Location Animals treated Arif Yudiarto Dinas vet Brangkal, Parengan, Tuban, Jawa Timur 133 Hermanto Suroto,AMd Kosod Dinas paravet Dinas paravet Dinas paravet Padaidi, Mattiro Bulu, Pinrang, Sulawesi Selatan 53 Jatimulyo, Petanahan, Kebumen, Jawa Tengah 50 Sidomulyo, Petanahan, Kebumen, Jawa Tengah 46 Sandi Putra Koordinator Kabupaten, Dinas vet Sungai Mengkuang, Rimbo Tengah, Bungo, Jambi 36 Azizah Dinas paravet Rantau Ikil, Jujuhan, Bungo, Jambi 33 Koordinator Surya Ade Saputra Kabupaten, Dinas vet Ibuh, Payakumbuh Barat, Payakumbuh, Sumatera Barat 31 Erwin Dinas paravet, Inseminator Sungai Betung Mudik, Gunung Kerinci, Kerinci, Jambi 20 Ahmad Syukur Dinas paravet Lubuk Basung, Agam, Sumatera Barat 20

15 50% of animals with BEF treated with Vet-Oxy LA were treated by just 13 people Was the treatment appropriate?

20 By the way There is no regulation in Indonesia requiring veterinary staff or farmers to record or report drug treatments for clinical cases

21 Where are the cases of BEF occurring?

22 Yesterday

23 Today

24 Last 7 days

25 Last 180 days

26 A bit more detail please?

27 Today, East Java

28 Today, East Java

29 Today, East Java

30 Today, East Java

31 Of interest BEF is not on the national list of priority or strategic diseases

32 Are animal movements an important factor? Vector-borne disease, so less important. But movements are important for lots of other diseases,so let s have a look

33 Large ruminants - yesterday

34 Large ruminants last 28 days

35 Poultry - yesterday

36 Poultry last 28 days

37 Did you know? 75% of poultry movements reported are for groups of birds < 100 There is no regulation requiring the reporting of movements of < 100 birds

38 Other available data Abattoir slaughter Laboratory test results Animal production Active surveillance Outbreak investigation Vaccination Animal population Etc

39 Question: Do you have access to similar surveillance and production data about aquatic animals? All disease events and other relevant data? Everywhere? Immediately?

40 What is it? Indonesia s Integrated National Animal Health Information System Built using a single philosophy and IT platform developed over 4 years of research

41 How does it work? Clever technology Farmer-focused philosophy

42 Technology Traditional approach Based on a legacy of paper Lots of information in the field If each was on a separate piece of paper Too much to handle at the central office Solution Filter: only collect data on priority diseases Aggregate: hierarchical summary step by step

43 Traditional technology Approach There is too much data to handle Have to reduce it, to make it manageable Result Only hear about events that reporters think are important Aggregated data often useless for epidemiological analysis Slow, with multiple intermediate processing steps

Omnísyan s technology Cloud computing Almost unlimited processing and storage capacity Mobile data capture Immediate electronic data capture pond-side Direct submission to central

44 Omnísyan s technology Cloud computing Almost unlimited processing and storage capacity Mobile data capture Immediate electronic data capture pond-side Direct submission to central database Atomic data capture Data captured in the smallest meaningful chunks Complete automation Validation, analysis, reporting, alerts Highly flexible Non-IT staff can quickly extend the system

45 Philosophy Provides strong guiding rules for system development and operation At least as important as the technology

46 Feedback Data Traditional Philosophy Top-level decision-makers Data providers

47 Omnísyan s philosophy Data objectives Complete Accurate Timely Sustainable How to achieve this? Every data provider participates enthusiastically

48 Omnísyan s philosophy Rule No 1 All users must get significantly greater direct, personal benefit from the system than any real or perceived costs or threats from using the system Types of benefits Saves time Saves money, or earns more money Emotional benefits fun, respect, confidence Etc

49 Design philosophy Meet the needs of local users Farmers and field services Create a valued data management service for local users Not designed solely to meet central needs Not a tool to extract data from the field

50 Design philosophy Local data needs much more detailed than central needs Central data By-product of use of the system at local level

51 New Approach Data providers Atomic data Value- added information Data as a by-product Other stakeholders

52 Results what we wanted New opportunities New technology Bottom-up philosophy Can create surveillance information systems that Are cheaper Are faster Have much better coverage Are sustainable

53 Results what we didn t expect Better information management Changes the way we do surveillance Changes the way health programs are implemented

54 Big surveillance You can get it all: All disease events, all management events, all the time, everywhere, immediately

55 Big surveillance Traditional surveillance Passive surveillance: cheap, but badly flawed Active surveillance: expensive, but the best approach Big surveillance Availability of census data on disease events Instant, almost complete knowledge Radically change the balance between active and passive Less reliance on field surveys

56 Using surveillance data Traditional approach Collect the data Analyse it centrally Report it to central decision makers When required, develop appropriate evidence-based interventions Get funding Implement the program Field staff act Farmers benefit

57 Unexpected effect Farmers and local staff have access to the same information for decision-making as central staff They are often more highly motivated Implement their own interventions when needed Indonesia Even in the absence of central programs or funds Farmers report improved health of their animals

58 More information isikhnas being used in Indonesia Search YouTube for isikhnas testimonies Omnísyan general information

59 Hands-on 3 day workshop Denver, Co. in association with ISDS Saturday 5 to Monday 7 December

60 Acknowledgements Indonesian funding DGLAHS Team members M Syibli Sigit Nurtanto S Yulianti CK Yohana Priyono RN Muhammad Soegiarto and many more Australian funding Australian Aid Department of Agriculture Team members AIP-EID Jonathan Happold Albertus Muljono AusVet Catriona Mackenzie Ben Madin and many more

61 Thank you

63 Omnísyan Portals SMS Mobile App Instant messaging / Excel Web URL insert Direct db link (GIS and statistical software)

64 Flexibility Non-IT staff Only skill required: SQL Create new data tables Create new data capture formats SMS, App, Excel, etc. Create new output reports Tables, charts, maps, analyses

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