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GIS and Health Geography - UBC Department of Geographyibis.geog.ubc.ca/courses/geob479/notes/Handouts/Lecture06.pdf · GIS and health geography ... spatial dimension, therefore. More

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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