Geo-Information in Animal Disease Outbreak Management

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Geo-Information in animal disease outbreak management Esri European User Conference, October 2011, Madrid Henk Janssen, Igor Staritsky and Bas Vanmeulebrouk (Alterra, Wageningen- UR) Arco van der Spek, Paul Leijs, Dennis Kok (Food and Consumer Product Safety Arco van der Spek, Paul Leijs, Dennis Kok (Food and Consumer Product Safety Authority, Ministry of EL&I)

description

Presentation on Esri European User Conference 2011 by Wageningen University.

Transcript of Geo-Information in Animal Disease Outbreak Management

Page 1: Geo-Information in Animal Disease Outbreak Management

Geo-Information in animal disease outbreak management Esri European User Conference, October 2011, Madrid

Henk Janssen, Igor Staritsky and Bas Vanmeulebrouk (Alterra, Wageningen-UR)Arco van der Spek, Paul Leijs, Dennis Kok (Food and Consumer Product Safety Arco van der Spek, Paul Leijs, Dennis Kok (Food and Consumer Product Safety Authority, Ministry of EL&I)

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Presentation setup

� The Dutch situation� Dutch pilots of GIS in animal disease crisis � Dutch pilots of GIS in animal disease crisis

management� Future developments?

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Slovenia SEPTEMBER 2007

The NetherlandsThe Netherlands

320 km320 km

180 km180 km

41.160 Km41.160 Km22

>16 million inhabitants>16 million inhabitants

4 million cattle4 million cattle

12 million pigs12 million pigs

3

12 million pigs12 million pigs

100 million poultry100 million poultry

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Pig density Poultry density

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Large Outbreaks in NL in recent years

� 1997: Classic Swine Fever (+/- 8 million animals)� 2001: Foot and Mouth disease (200.000 animals

eradicated)� 2003: Avian Influenza (31,6 million birds

eradicated, 30% of the population)eradicated, 30% of the population)� Blue tongue (sheep)� Q-fever (goats)

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Research questions of nVWA (Food and Consumer Product Safety Authority in NL)

� nVWA needs to maintain quarantine areas� nVWA needs timely, correct and complete farm and area

information in case of contagious animal disease outbreak� nVWA desires online (internet-based) GIS-applications as � nVWA desires online (internet-based) GIS-applications as

integrated part of their workflow� Research question: can we prepare adequate datasets

and software tools to meet the demands?

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Workflow during disease crisis situationsFarm -> suspicious symptoms

-Veterinarian or other source

Specialists team (Animal Health Service and VWA)

- Clinical inspection

- Sampling

- Filing

- Declaration of suspicion

within 3 h

Letter of suspicion

Positive testing

ACTION !

- Surveillance zone (10km)

- Protection zone (3 km)

- Culling of infected holding + 1 km zone

Positive testing

ACCUTE INFORMATION DEMAND

- location of farms

- location and number of animals

- geographic relations

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Our approach

� Data: testing of coupling/quality of available datasets

� Software tools: The proof of the pudding…� Software tools: The proof of the pudding…� Process: embedding geo-information in workflow

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Coupling of parcels and farm locations

Combination % parcels % grassland

UBN - BRS 64 79

Postal code house nr 32 18 Postal code house nr 32 18

LPIS – Annual Census 3 2

No coupling 1 1

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Visualizedataquality

Light green =

arable crops

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Pilot (web-)GIS-applications for use in contagious animal disease crises in NL

� PIKET (English: Picket but also Picket Officer )

� Application for geographical determination and textual description of quarantine areas (Surveillance zone + Protection zone)

� GEMMA (Geographic Event Management and Monitoring � GEMMA (Geographic Event Management and Monitoring Application)� Data-selection tool, based on information from Dutch LPIS (‘BRP’), I&R,

GIAB (farm location (x,y on shed level)� Internet based� Time line

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Protection and Observation areasAvian Influenza

10 km

Observationarea

compartment

Bufferzone

10 km

T-area3 km

B-areaProtection area

Culling area (1km)

Vaccination area

Bufferzone

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First step: PIKET: describe quarantine area

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Suspicion site (roads, rail, water way)

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Suspicion site (only roads)

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Suspicion site (roads, etc. + junctions)

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Suspicion site (barricaded junctions)

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Suspicion site (‘stops’ around zone)

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Suspicion site (route around zone)

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Suspicion site (description of route)

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Suspicion site (with aerial photo)

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Active layers selectable by placing a ‘tick’, the ‘i’ makes the data of the geo-objects ‘identifiable’

Identify to show details

GEMMA: Use of different map layers

Map layers are served using ArcIMS

(ESRI)

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New suspicion by selecting a

agricultural holding

New suspicion by selecting a location

Pan and zoom in the map (standard functionality)

Creation of a new suspicion

selecting a location on the map

Circles with adjustable radius

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Foot and Mouth-suspicion

Selection and presentation of farms

Initial suspician Different sub-selects (based on defined

circles)

Farm with parcels within the circles

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Interactive drawing of boundaries

Digitized area with a name

Digitizing tools

Second suspicion

Time line tool

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Presentation of the timeline of suspicions

‘Free’ holdings in green

‘Free’ holding restricted by second

suspicion

Timeline selector

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Details of a holding

Data from I&R and Annual Census

Parcels of the selected holding

Inspection tool (for details of the farm)

Holding 221449

Holding 221449 in Google Maps

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All holdings in Excell

A printable map (PDF)

Reports

Holding 221449

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Process support in crisis simulation/training

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Support of crisis simulation/training

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Support of crisis simulation/training

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Concluding remarks

� nVWA/EL&I have the data� Work flow can be supported using geo

information/GISinformation/GIS� Need for synchronizing developments� Next step is operational integration of data, tools

and end user process