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It's a dog's life: modelling the UK dog population
1. It’s a dog life: modelling the UK
dog population
Alessandro Arbib
2. Overview of this presentation
• Background
• Objectives & Scope
• Summary of work
• Evidence gaps
• Outcomes
• Working with the Third Sector
2 Modelling the UK dog population
4. Background
4`` Modelling the UK dog population
The RSPCA is the UK’s leading animal
welfare charity.
Dog-ED is a Social Enterprise applying
Systems Thinking to canine welfare.
3 Operational Research and 1 engineer
from DECC
6. Objective & Aims
To answer the following question:
• A consensus view of how many dogs
there are “in the system” and how they
move between different parts of the
system
• How many dogs are relinquished and
why? Which type of dog?
• Can we forecast the likely impact of
different interventions ?
6 Modelling the UK dog population
7. Scope of the work
• Review the available data
• Design and build a model
• Develop recommendations for
possible uses and future
development of the model
7 Modelling the UK dog population
8. Summary of work
Presentation title - edit in Header and Footer
9. Literature Review
Literature Review of
relevant papers and reports
• ~50 different sources
• ~100 data points and
times series
• Assessment of data
quality
9 Modelling the UK dog population
10. Snapshot of dog population
Aim: Consensus view of dogs that
are in the system
• No consensus between
sources possible
• Multiple discrepancies
• Validity of some sources should
be questioned
10 Modelling the UK dog population
13. The Model
Demand for dogs -
13 Modelling the UK dog population
69.5% of welfare
inflows (27, scaled)
Stray dogs
0.5% of welfare in
flows (27, scaled)
Dogs in welfare
greyhounds - 3,910
per year (33)
Owned dogs
Owned births
Owned
deaths
Rehomed - 80.9%
of outflows (27)
Welfare dogs reunited with
owner - 12.5% of those
entering = 16,218 (1). 7.7%
Stray births
Entering welfare:
129,743 per year (1)
of those entering (27)
Welfare capacity
Stray deaths
Welfare
births
Welfare deaths
Owned dogs to welfare
Welfare dogs to owned
Owned dogs to stray
Stray dogs to owned
Stray dogs to welfare
Imported owned dogs
11.4% of outflow died (27)
LB 7142 euthanised (1)
Dogs imported to
welfare
Owned dog
exports
Number of dogs
microchipped
Owner education
level re dogs
Welfare life expectancy
Owned dog life
expectancy
Stray dog life
expectancy
Space available in
welfare
Euthanasia policy
Emmigration
Number of dog
breeders
Number of puppy
farms
Funding for welfare
Demand for
dogs in UK
Number of
owned dogs
having puppies
non-UK
Disposable income
Insurance rates
Number of
dogs lost
Number of
dogs
abandoned
Number of dogs
neutered
9.4m (23)
2009 LB: 12,340
2010 LB:10,630
est 1,250 (300
to 2130)
111,000 per
year (13)
Strays back to owner -
53,280 per year (13)
Rehomed - 9,990
per year (13)
Put to sleep/die 8,880
per year (13)
Working dogs
27,750 per year (13)
Assume 0
30% of welfare inflows (27,
scaled) - this includes LA and
public straying dogs
11.4% of dogs per
year? (36)
25% of dogs per
year? (est from
24, 41)
12 years (34)
4% of microchipped are from Ireland,
3% from other EU, 2% from outside
EU - needs scaling up by 2% (24)
50,000 dogs imported
from Ireland per year (31)
Working dogs
to owned
Working
dog births
Working
dog deaths
Working dog life
expectancy
Requirements for
working dogs
Working dogs to
welfare
At least 2500
police dogs
(45)
14. The Model
• Stocks: Owned, In rescue, Stray
and Working
• Flows: birth and death rates, import
and export rates, flows within the
system
• Time step: weekly update
• Possibility to adjust flow rates (as
effect of policy intervention)
14 Modelling the UK dog population
Owned
In Rescue
Working
Stray
16. Missing Stocks & Flows
Stocks
Dogs in Welfare
• Lower bound only
Working dogs
• We can only get data on police
dogs (from Wikipedia)
Flows
Numbers of dogs being imported into the
UK
• Poor quality data from Defra
• Births of non-KC dogs: these are
not registered
And more….
16 Modelling the UK dog population
17. Data Quality
Difficult to get a breakdown of data by
dog breed/category/time series
Granularity
• Little information about breed-rates
of non-KC dogs (pure-breed,
X-breed or mongrels)
• Lack of time series data
Inconsistency
• Significant variation in “top-down”
estimates of total population
– 8.5-11+ million
– Significant uncertainty
17 Modelling the UK dog population
18. Predicting the future dog population
Dog movements within the system
• Influenced by economic and
societal influences
• These are very difficult to predict
Stock evolution
• Starting point for future calculation
not known (e.g. 2014 dog pop.)
• Uncertainties are proportionally
very high
18 Modelling the UK dog population
20. Significant outputs from our work
• Significant review of data sources,
with all data summarised in one
location
• Large number of evidence gaps
identified
• Snapshot of dog population
• System map with stocks & flows
• Creation of Excel model to be
populated as/when data comes
available
20 Modelling the UK dog population
21. What is next?
Await introduction of compulsory
microchipping in 2016
• This will provide a significant boost
to the available data
• Breakdown of the total dog
population into sub-categories will
be much easier to obtain
• Trends will be more identifiable,
and easier to track
Consider ways in which evidence
gaps can be addressed:
• Surveys of owners and breeders
• Commission some academic work
• Work with the Kennel Club and
PetLog
• Approach the Pet Food
Manufacturers society
21 Modelling the UK dog population
22. Working for the Third Sector
Presentation title - edit in Header and Footer
23. What went well
• Application of OR techniques to
Pro Bono projects
• Enhanced knowledge of interesting
areas
• Professional development
• Team spirit
• Excellent day at Battersea Dogs &
Cats Home
• Relationship with client
23 Modelling the UK dog population
24. What could have gone better
• Underestimate of project length
• Loss of momentum of project
over last couple of months – the
10% of tidying up time has
been drawn out.
• Disappointing that the ambition
of original ‘ideal’ of building and
using a model could not be
realised due to lack of quality
data.
24 Modelling the UK dog population
The breeding, ownership and welfare of dogs in the UK is a complex social area. Although there has been research into the size of the dog population, nobody has pulled all this together into a single model that everyone can use to help focus priority issues. A consensus understanding of the population and how it is stratified is crucial to allow proposing meaningful welfare improvement policies. From November 2013 to May 2014 a group of 3 OR analysts and an engineer from DECC worked with the RSPCA (the UK’s leading animal welfare charity) and Dog-ED (a Social Enterprise applying Systems Thinking to canine welfare) to provide analytical evidences about the number of dogs currently present in UK and how they move through the system. The project involved a significant literature review to collect the data necessary to produce a snapshot of the UK dog population; designing and building a “stocks and flows” model to investigate the flows of dogs from the different categories; and developing recommendations for possible uses and future development of the model. Lack of consensus amongst the data sources, and considerable variation in data quality and definitions used made it difficult to provide accurate answers to the customer’s problem. We will describe our main outputs including estimated upper and lower bounds for the dog population, a “stocks and flows” model developed in Excel, and a list of the main data gaps and issues we met in our work. Last but not least, we will focus on the valuable experience of working for the Third Sector, summarising the main lessons learnt and the value that OR was able to add in this area.
The breeding, ownership and welfare of dogs in the UK is a complex social area. Although there has been research into the size of the dog population, nobody has pulled all this together into a single model that everyone can use to help focus priority issues. A consensus understanding of the population and how it is stratified is crucial to allow proposing meaningful welfare improvement policies. From November 2013 to May 2014 a group of 3 OR analysts and an engineer from DECC worked with the RSPCA (the UK’s leading animal welfare charity) and Dog-ED (a Social Enterprise applying Systems Thinking to canine welfare) to provide analytical evidences about the number of dogs currently present in UK and how they move through the system. The project involved a significant literature review to collect the data necessary to produce a snapshot of the UK dog population; designing and building a “stocks and flows” model to investigate the flows of dogs from the different categories; and developing recommendations for possible uses and future development of the model. Lack of consensus amongst the data sources, and considerable variation in data quality and definitions used made it difficult to provide accurate answers to the customer’s problem. We will describe our main outputs including estimated upper and lower bounds for the dog population, a “stocks and flows” model developed in Excel, and a list of the main data gaps and issues we met in our work. Last but not least, we will focus on the valuable experience of working for the Third Sector, summarising the main lessons learnt and the value that OR was able to add in this area.
The breeding, ownership and welfare of dogs in the UK is a complex social area. Although there has been research into the size of the dog population, nobody has pulled all this together into a single model that everyone can use to help focus priority issues. A consensus understanding of the population and how it is stratified is crucial to allow proposing meaningful welfare improvement policies. From November 2013 to May 2014 a group of 3 OR analysts and an engineer from DECC worked with the RSPCA (the UK’s leading animal welfare charity) and Dog-ED (a Social Enterprise applying Systems Thinking to canine welfare) to provide analytical evidences about the number of dogs currently present in UK and how they move through the system. The project involved a significant literature review to collect the data necessary to produce a snapshot of the UK dog population; designing and building a “stocks and flows” model to investigate the flows of dogs from the different categories; and developing recommendations for possible uses and future development of the model. Lack of consensus amongst the data sources, and considerable variation in data quality and definitions used made it difficult to provide accurate answers to the customer’s problem. We will describe our main outputs including estimated upper and lower bounds for the dog population, a “stocks and flows” model developed in Excel, and a list of the main data gaps and issues we met in our work. Last but not least, we will focus on the valuable experience of working for the Third Sector, summarising the main lessons learnt and the value that OR was able to add in this area.