{ GIS and Health Geography What is epidemiology?
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GIS and Health Geography
What is epidemiology?
GIS and health geography Major applications for GIS
Epidemiology What is health (and how location matters) What is a disease (and how to identify one) Quantifying disease occurrence
Incidence vs prevalence Identifying the population Working with small area data
TOC
A GIS can be a useful tool for health researchers and planners because, as expressed by Scholten and Lepper (1991):
Health and ill-health are affected by a variety of life-style and environmental factors, including where people live. Characteristics of these locations (including socio-demographic and environmental exposure) offer a valuable source for epidemiological research studies on health and the environment. Health and ill-health always have a spatial dimension, therefore. More than a century ago, epidemiologists and other medical scientists began to explore the potential of maps for understanding the spatial dynamics of disease.
GIS and health Geography
1. Spatial epidemiology
2. Environmental hazards
3. Modeling Health Services
4. Identifying health inequalities
Major applications for GIS
Spatial epidemiology is concerned with describing and understanding spatial variation in disease risk.
Individual level data Counts for small areas
Recent developments owe much to: Geo-referenced health and population data Computing advances Development of GIS Statistical methodology
Spatial epidemiology
Population is unevenly distributed geographically.People move around (day-to-day movements;
longer term movements including migration).People possess relevant individual characteristics
(age, sex, genetic make-up, lifestyle, etc).People live in communities (small areas).
Framework for analysis
Provides a qualitative answer about the existence of an association (e.g. between environmental variable and health outcome).
May provide evidence that can be followed up in other ways.
Why small area analyses?
These studies typically involve examining geographical variations in exposure to environmental variables (air, water, soil, etc.) and
their association with health outcomes while controlling for other relevant factors using regression.
Geographical correlation studies
Issues: Spatial misalignment
Frequency and quality of population data (e.g. Census every 5/10 years).
Spatial compatibility of different data sets.Availability of data on population movements.Measuring population exposure to the
environmental variable.Environmental impacts are often likely to be quite
small (relative to, for example, lifestyle effects) and there may be serious confounding effects.
Cannot estimate strength of an association.Ecological (or aggregation) bias.
Issues: Uncertainty
Allow for heterogeneity of exposure.Use well defined population groups.Use survey data to help obtain good
exposure data.Allow for latency times.Allow for population movement
effects.
Issues: Best practices(Richardson 1992)
Dr. John Snows Map of Cholera Deaths in the SOHO District of London, 1854
Spatial epidemiology
1. Spatial epidemiology
2. Environmental hazards
3. Modeling Health Services
4. Identifying health inequalities
Major applications for GIS
Environmental hazards
Hazard Surveillance
Hazardous agent present in the environment
Route of exposure exists
Exposure Surveillance
Host exposed to agentAgent reaches target tissueAgent produces adverse
effect
Outcome Surveillance
Effect clinically apparent
Environmental hazards
GIS: Identify causal and mitigating factors
1. Spatial epidemiology
2. Environmental hazards
3. Modeling Health Services
4. Identifying health inequalities
Major applications for GIS
A generic index of accessibility/ remoteness for all populated places in non-metropolitan Australia.
A model which allows accessibility to any type of service to be calculated from all populated places in Australia.
ARIA (Accessibility/Remoteness
Index of Australia)
https://www.health.gov.au/internet/main/publishing.nsf/Content/health-historicpubs-hfsocc-ocpanew14a.htm
AIRA
https://www.health.gov.au/internet/main/publishing.nsf/Content/E2EE19FE831F26BFCA257BF0001F3DFA/$File/ocpanew14.pdfhttps://www.health.gov.au/internet/main/publishing.nsf/Content/E2EE19FE831F26BFCA257BF0001F3DFA/$File/ocpanew14d.pdfhttps://www.health.gov.au/internet/main/publishing.nsf/Content/E2EE19FE831F26BFCA257BF0001F3DFA/$File/ocpanew14d.pdf
Mortality rate of infants
0 2 4 6 8 10 12 14 16 18 20 22 24 26
Metro.
Rural
Remote
Geo
grap
hica
l loc
atio
n
Mortality Rate / 1000 live births
non-AboriginalAboriginal
Where do infants and children die in WA? 1980-2002 Jane Freemantle, PhD. November 2004
Chart5
17.95.9
18.56.5
23.96.8
Aboriginal
non-Aboriginal
Geographical location
Mortality Rate / 1000 live births
infan_Ab status ALL_inf nn pnn
Infant mortality 1980-2002, by Aboriginal status
Aboriginalnon-AboriginalRR
1980-1984258.42.98
1985-1989257.63.27
1990-199420.15.63.61
1995-199716.94.43.83
1998-200116.13.74.4
ALL
infantneonatalpostneonatal
1980-19849.25.53.5
1985-19898.65.43.3
1990-19946.43.62.7
1995-19975.13.22.1
1998-20014.52.71.8
ALL inf neo post mortality 1980-2002
infan_Ab status ALL_inf nn pnn
Aboriginal
non-Aboriginal
RR
Birth year group
Rate/1000 live births
nn pnn_Ad stats
NND and PND by Abstatsus 1980-2002
Ab.-neonatenon-Ab.-neonateAb.-postneonon-Ab.-postneo
1980-198415.55.259.723.14
1985-198910.225.0814.732.61
1990-19948.53.4711.922.15
1995-19977.222.959.71.6
1998-20017.42.38.81.3
infant
neonatal
postneonatal
Birth year groups
Rate/1000 live births
nn pnn_Ad stats
Ab.-neonate
non-Ab.-neonate
Ab.-postneo
non-Ab.-postneo
Birth year groups
Rate/1000 live births
location
ALL
MetroRuralRemote
1980-19848.39.415
1985-19897.98.512.9
1990-19945.87.19.7
1995-19974.95.17.1
1998-20013.7512.3
Ab.metronon-Ab.metroAb.ruralnon-Ab.ruralAb.remotenon-Ab.remote
1980-198418.58.117.48.932.610
1985-198923.27.624.87.4268.7
1990-199419.35.4186.3225.7
1995-199716.64.610.54.720.32.5
1998-200112.13.518.33.918.14.9
RRnon-Aboriginal cf non-Aboriginal
Remote cf metroRemote cf ruralRural cf metro
1980-19841.241.131.1
1985-19891.171.221
1990-19941.10.91.2
1995-19970.60.50.3
1998-20011.41.31.1
RRAboriginal cf Aboriginal
Remote cf metroRemote cf ruralRural cf metro
1980-19841.81.90.9
1985-19891.21.11.1
1990-19941.11.20.9
1995-19971.220.6
1998-20011.511.5
CMR - 1980-2001
Aboriginalnon-AboriginalRR
Metro.17.95.93
Rural18.56.52.9
Remote23.96.83.5
location
Metro
Rural
Remote
Birth year group
Rate/1000 live births
Ab.metro
non-Ab.metro
Ab.rural
non-Ab.rural
Ab.remote
non-Ab.remote
Birth year group
Rate/1000 live births
Ab.metro
non-Ab.metro
Ab.rural
non-Ab.rural
Ab.remote
non-Ab.remote
Birth year groups
Rate/1000 live births
*
Remote cf metro
Remote cf rural
Rural cf metro
Birth year groups
Relative risk of death
Remote cf metro
Remote cf rural
Rural cf metro
Birth year groups
Relative risk of death
Aboriginal
non-Aboriginal
RR
Geographical location
Rate/1000 live births& RR
Identifying health inequalities:Well-known relationship 25% 50% of observed gradient due to risk factors like smoking,
hypertension and diabetes in lower socio-economic groups (Marmot et al.,1997)
Access to healthcare (Bosma et al., 2005) Imbalance between workplace demands and economic reward
(Lynch et al.,1997) Poor education, lower levels of health literacy, low birth weight
(Marmot, 2000)
Relationship may vary with gender, with the association thought to be stronger in males (Thurston, 2005) (should we question this?)
SES and Heart disease
Number of daily hospital discharges (Y) with Ischemic Heart Disease (IHD) where admission had been via emergency room for 591 postcodes in NSW Every day from July 1, 1996 to June 30, 2001 Males and females 5-year age increments
Denominator (N) obtained from censusSocial disadvantage measured at postal area level
using the census-derived SEIFA (Socio-Economic Indexes for Areas) index
The Data
High values indicate social advantage
SEIFA distribution in NSW
NSW IHD rates
GIS and health geography Major applications for GIS
Epidemiology What is health (and how location matters) What is a disease (and how to identify one) Quantifying disease occurrence
Incidence vs prevalence Identifying the population Working with small area data
TOC
The study of the distribution and determinants of health and disease-related states in populations, and the application of this study to control health problems.
the product of [epidemiology] is research and information and not public health action and implementation (Atwood et al. 1997)
epidemiologys full value is achieved only when its contributions are placed in the context of public health action, resulting in a healthier populace. (Koplan et al. 1999) (Source: Rutgers)
What is epidemiology?
http://www.google.ca/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&ved=0CCwQFjAA&url=http://dimacs.rutgers.edu/BMC/TeacherMaterials/Introduction%20to%20Epidemiology%20and%20the%20Modules.ppt&ei=XLUWU6aVI4OBogTIvILQAw&usg=AFQjCNETuiEEoMB4wlHVLet6l-ceuYV9hA&sig2=yq9QVzs6KhBRofuAXSxxaQ&bvm=bv.62286460,d.cGU&cad=rja
Epidemiologic approaches
DESCRIPTIVE Health and disease in the communityWhat? Who? When? Where?What are thehealth problemsof the community?
What are theattributes of these illnesses?
How many peopleare affected?
What are theattributes ofaffected persons?
Over whatperiod of time?
Where do theaffected peoplelive, work orspend leisuretime?
ANALYTIC Etiology, prognosis and program evaluation
Why? How?What are the causal agents?
What factorsaffect outcome?
By what mechanism do they operate?
Dorland's Illustrated Medical Dictionary (28th ed.):
Health "a state of optimal physical, mental, and social well-being, and not merely the absence of disease and infirmity.
Disease "any deviation from or interruption of the normal structure or function of any part, organ, or system (or combination thereof) of the body that is manifested by a characteristic set of symptoms and signs . . .".
What are health and disease?
Health, as defined in the World Health Organization's Constitution, is "a state of complete physical, mental and social well-being and not merely the absence of disease or infirmity."
Health is seen as more than just the absence of disease, and depends upon a complex suite of factors, with location taking the lead. A location is more than just a position within a spatial frame (e.g., on the surface of the Earth or within the human body).
Different locations on Earth are usually associated with different profiles: physical, biological, environmental, economic, social, cultural and possibly even spiritual profiles, that do affect and are affected by health, disease and healthcare. (Source: Dr. M. N. Kamel Boulos)
What is health
http://healthcybermap.org/HGeo/index.htm
An example of how location matters and carries with it other factors into play: The body weight of infants at birth is one readily available
piece of data, and the relationship between low birth-weight and maternal and child health is a continuing line of research.
In New York City, Sara McLafferty and Barbara Tempalskihave studied the spatial distribution of low birth-weight infants and identified areas in which the number of low birth-weight infants increased sharply during the 1980s.
Their results indicated that the rise in low birth-weight was closely linked to women's declining economic status, inadequate insurance coverage and prenatal care, as well as the spread of crack/cocaine.
Location and health
Location and health
http://healthcybermap.org/HGeo/pg1_2.htmhttp://healthcybermap.org/HGeo/pg1_2.htm
Location and health
GIS and health geography Major applications for GIS
Epidemiology What is health (and how location matters) What is a disease (and how to identify one) Quantifying disease occurrence
Incidence vs prevalence Identifying the population Working with small area data
TOC
Manifestional criteria: refer to symptoms, signs, and other manifestations of the condition. Defining a disease in terms of manifestational criteria relies on the proposition that diseases have a characteristic set of manifestations. This defines disease in terms of labeling symptoms.
Causal criteria: refer to the etiology (cause) of the condition, which must have been identified in order to be employed. This defines disease in terms of underlying pathological etiology.
What is disease
How do you identify a disease?
The Acquired Immunodeficiency Syndrome (AIDS) was initially defined by the CDC in terms of manifestational criteria as a basis for instituting surveillance.
The operational definition grouped diverse manifestations Kaposi's sarcoma outside its usual subpopulation, PCP and other opportunistic infections in people with no known basis for immunodeficiency.
This was based on similar epidemiologic observations (similar population affected, similar geographical distribution) and a shared type immunity deficit (elevated ratio of T-suppressor to T-helper lymphocytes).
Manifestational Criteria
Around 1984 Human Immunodeficiency Virus (HIV, previously called human lymphotrophic virus type III) was discovered and demonstrated to be the causal agent for AIDS.
AIDS could then be defined by causal criteria.
Causal Criteria
http://www.nejm.org/doi/full/10.1056/NEJMp038194
A single causal agent may have multiple clinical effects.
Multiple etiologic pathways may lead to apparently identical manifestations, so that a manifestationally-defined disease entity may include subgroups with differing etiologies (equifinality).
Not all persons with the causal agent develop the disease (e.g., Typhoid Mary).
Challenges with Disease Classifications
http://en.wikipedia.org/wiki/Equifinalityhttp://en.wikipedia.org/wiki/Typhoid_Mary
UnderlyingGeneticSusceptibility
Onset ofdisease
Diagnosisof disease
Environmental & Behavioral Factors(Spatial dependence)
PhysiologicAbnormalities Clinical disease
Cause-specificmortality
XSub-clinical disease
The natural history of disease
GIS and health geography Major applications for GIS
Epidemiology What is health (and how location matters) What is a disease (and how to identify one) Quantifying disease occurrence
Incidence versus prevalence Identifying the population Working with small area data
TOC
To study disease, we need measures of its occurrence.
Some measures of disease occurrenceCountsPrevalence IncidenceMortality
Measures of disease occurrence
Epidemiologic approaches
DESCRIPTIVE Health and disease in the communityWhat? Who? When? Where?What are thehealth problemsof the community?What are theattributes of these illnesses?
How many peopleare affected?
What are theattributes ofaffected persons?
Over whatperiod of time?
Where do theaffected peoplelive, work orspend leisuretime?
Each of the measures can be calculated for different combinations of What? Who? When? and Where?
Each of the Ws needs to be defined carefully to get comparable measures across a province or state, a nation, the world.
Incidence and prevalence measure different aspects of disease occurrence
Prevalence Incidence
Numerator:
Denominator:
Measures:
Most useful:
Incidence and Prevalence
All cases, no matter how long diseased
Only NEW cases
All persons in pop Only persons at risk of disease
Presence of disease Risk of disease
Resource allocation Risk, etiology
Etiology: the study of a diseases causes.
Numerator Number of deaths
Denominator Number of individuals in
population (how defined?)
Time interval 1-year: Annual Mortality Rate
(typical to use an annual rate)
Specifier age, sex, race, etc.
Mortality Rate Incidence of death
Mortality rates
Prevalence numerator case definition
Result ofnew definition
1st Quarter of 1993:Expansion of
surveillance casedefinition
AIDS cases, United States 1984-2000
Understanding population dynamics is crucial to epidemiolog y.
Demography = the study of population dynamics including fertility, mortality and migration
The demi in Epidemiology
English
epi among
demos people
logy study
GIS and health geography Major applications for GIS
Epidemiology What is health (and how location matters) What is a disease (and how to identify one) Quantifying disease occurrence
Incidence vs prevalence Identifying the population Working with small area data
TOC
Developing multi-level models for spatially-correlated data requires confidence in the dependent data.
Data for disease mapping often consists of disease counts and exposure levels in small adjacent geographical areas.
The analysis of disease rates or counts for small areas often involves a trade-off between statistical stability of the estimates and geographic precision.
Data considerations
Spatial Analytic Techniques for Medical Geographers (Albert et al., 2000)
Methodological toolboxes
GIS and health geography Major applications for GIS
Epidemiology What is health (and how location matters) What is a disease (and how to identify one) Quantifying disease occurrence
Incidence versus prevalence Identifying the population Working with small area data
Summary
GIS and Health GeographyTOCGIS and health GeographyMajor applications for GISSpatial epidemiologyFramework for analysisWhy small area analyses?Geographical correlation studiesIssues: Spatial misalignmentIssues: UncertaintyIssues: Best practicesSpatial epidemiologyMajor applications for GISEnvironmental hazardsEnvironmental hazardsMajor applications for GISARIA (Accessibility/Remoteness Index of Australia)AIRAMortality rate of infantsSES and Heart diseaseThe DataSEIFA distribution in NSWNSW IHD ratesTOCWhat is epidemiology?Epidemiologic approachesWhat are health and disease?What is healthLocation and healthLocation and healthLocation and healthTOCWhat is diseaseManifestational CriteriaCausal CriteriaChallenges with Disease ClassificationsThe natural history of diseaseTOCMeasures of disease occurrenceEpidemiologic approachesIncidence and PrevalenceMortality Rate Incidence of deathMortality ratesPrevalence numerator case definitionThe demi in EpidemiologyTOCData considerationsMethodological toolboxesSummary