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Spatial Clustering and Multivariate Statistics in
Analysis of Infectious Diseases
Lukáš MAREK

This presentation is co-financed by the
European Social Fund and the state
budget of the Czech Republic
Why Geographical Information Systems?


Advanced methods for spatial analyses



Spatial statistics



Exploration of spatial pattern



Visualization and presentation for non-geographers
(doctors, specialist)

2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
Spatial Analyses of Health Data - AOI


Disease mapping





Visual description of spatial variability of the disease incidence
Maps of incidence risk, identification of areas with high risk

Geographic correlation studies




Analysis of associations among the incidence and
environmental factors

Analyses of spatial pattern


Exploration of spatial and spatio-temporal patterns in data



Disease clusters, randomness, …

2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
Health and Medical Data


require specific procedures because of their
confidentiality


management, presentation and operations



aggregated, anonymized or incomplete data sets



usage of suitable analytical procedures, while the
uncertainty and the inaccuracy of data characteristics
need to be taken into account during the analysis and
interpretation of results

2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
Data Privacy


Health and medical data = private, confidential and
sensitive data



Keeping all available records but prevent their reidentification



Usefulness of the local scale analysis X privacy protection



Unlikely to explore the relations on the individual level
(and not necessary)



Availability, accessibility and restrictions
2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
Software

2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
Objectives


Disease occurence as the event





Spatial evaluation of infectious diseases in Olomouc
Region, Czech Republic




Space, time, attributes
Spatial (point) pattern

Parotitis, Salmonella, Viral intestinal infections

Spatial evaluation of Campylobacter infection in the
Czech Republic

2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
Campylobacteriosis






Campylobacter bacterium (C. jejuni)
Frequent
Often foodborne
Symptom are similar to salmonella
Poultry or fresh milk products

2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
Data



Collaboration with Regional Public Health Service in Olomouc
and the National Institute of Public Health
EPIDAT database









Mandatory records about infectious diseases and patients,
manually fulfilled
Age, Sex, Date, Profession, Place of residence, infection, isolation,
…
2008 - 2012
≈ 100 000 records
(weakly) Anonymized

Aggregation



Hexagons with the size of average cadastral unit, administrative
units
EUROSTAT population grid
2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
Time

2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
Disease mapping

2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
Identification of Spatial Processes



Estimation of the nature of phenomenon
Plenty of methods





Testing of Complete Spatial Randomness





Global vs. Local
Graphical vs. Numerical
Or other spatial processes

Scale dependency
Bayesian modelling

2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
Spatial Pattern

2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
Local Moran‘s I with EB Rate

2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
Multivariate Clustering


Similarity searching in
attribute space



Classification of areas with
related properties of
occuring diseases and their
parameters



Classification of similar
cases



Without spatial relations

2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
Problems / Challenges









Geocoding
Aggregation
Age / Population standardization
Neighbourhood estimation
Modifiable areal unit problem
Probability distribution of the disease occurrence
Underlying processes
Under / Overestimation of results leading to
misinterpretation

2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
Future work




Spatio-temporal analysis
(More of) Bayesian modelling and smoothing
Multivariate statistics with spatial relations

2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
Thank you for your attention

2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc

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Lukáš Marek - Spatial Clustering and Multivariate Statistics in Analysis of Infectious Diseases

  • 1. Spatial Clustering and Multivariate Statistics in Analysis of Infectious Diseases Lukáš MAREK This presentation is co-financed by the European Social Fund and the state budget of the Czech Republic
  • 2. Why Geographical Information Systems?  Advanced methods for spatial analyses  Spatial statistics  Exploration of spatial pattern  Visualization and presentation for non-geographers (doctors, specialist) 2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
  • 3. Spatial Analyses of Health Data - AOI  Disease mapping    Visual description of spatial variability of the disease incidence Maps of incidence risk, identification of areas with high risk Geographic correlation studies   Analysis of associations among the incidence and environmental factors Analyses of spatial pattern  Exploration of spatial and spatio-temporal patterns in data  Disease clusters, randomness, … 2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
  • 4. Health and Medical Data  require specific procedures because of their confidentiality  management, presentation and operations  aggregated, anonymized or incomplete data sets  usage of suitable analytical procedures, while the uncertainty and the inaccuracy of data characteristics need to be taken into account during the analysis and interpretation of results 2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
  • 5. Data Privacy  Health and medical data = private, confidential and sensitive data  Keeping all available records but prevent their reidentification  Usefulness of the local scale analysis X privacy protection  Unlikely to explore the relations on the individual level (and not necessary)  Availability, accessibility and restrictions 2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
  • 6. Software 2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
  • 7. Objectives  Disease occurence as the event    Spatial evaluation of infectious diseases in Olomouc Region, Czech Republic   Space, time, attributes Spatial (point) pattern Parotitis, Salmonella, Viral intestinal infections Spatial evaluation of Campylobacter infection in the Czech Republic 2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
  • 8. Campylobacteriosis      Campylobacter bacterium (C. jejuni) Frequent Often foodborne Symptom are similar to salmonella Poultry or fresh milk products 2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
  • 9. Data   Collaboration with Regional Public Health Service in Olomouc and the National Institute of Public Health EPIDAT database       Mandatory records about infectious diseases and patients, manually fulfilled Age, Sex, Date, Profession, Place of residence, infection, isolation, … 2008 - 2012 ≈ 100 000 records (weakly) Anonymized Aggregation   Hexagons with the size of average cadastral unit, administrative units EUROSTAT population grid 2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
  • 10. 2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
  • 11. Time 2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
  • 12. Disease mapping 2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
  • 13. 2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
  • 14. 2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
  • 15. Identification of Spatial Processes   Estimation of the nature of phenomenon Plenty of methods    Testing of Complete Spatial Randomness    Global vs. Local Graphical vs. Numerical Or other spatial processes Scale dependency Bayesian modelling 2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
  • 16. Spatial Pattern 2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
  • 17. 2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
  • 18. Local Moran‘s I with EB Rate 2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
  • 19. Multivariate Clustering  Similarity searching in attribute space  Classification of areas with related properties of occuring diseases and their parameters  Classification of similar cases  Without spatial relations 2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
  • 20. 2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
  • 21. 2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
  • 22. Problems / Challenges         Geocoding Aggregation Age / Population standardization Neighbourhood estimation Modifiable areal unit problem Probability distribution of the disease occurrence Underlying processes Under / Overestimation of results leading to misinterpretation 2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
  • 23. Future work    Spatio-temporal analysis (More of) Bayesian modelling and smoothing Multivariate statistics with spatial relations 2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc
  • 24. Thank you for your attention 2nd InDOG Doctoral Conference, 14th October - 15th October 2013, Olomouc