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New Technologies for Understanding the Relationship between Health and Place

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Maps documented the spread of cholera from India to Europe in the early 1800s. Famous John Snow Cholera map of 1855. ... or choropleth maps are a model ... – PowerPoint PPT presentation

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Title: New Technologies for Understanding the Relationship between Health and Place


1
New Technologies for Understanding the
Relationship between Health and Place
  • Lecture 1
  • Introduction and Overview
  • GIS and RS in Public HealthEdmund Seto,
    Ph.D.School of Public HealthUniversity of
    California, Berkeley

2
The Study of Health Place
  • Spatial epidemiology
  • Medical geography
  • Geographic pathology
  • Medical ecology
  • Geographical epidemiology
  • Geomedicine

3
A Historical Perspective
Public Health professionals have long recognized
the importance of place in health.
4
  • A more modern, structured view of how place
    influences health is provided in Meades Medical
    Geography text

Health
5
The Three Vertices
  • Population
  • Susceptibility age, race, and genetics
  • Habitat
  • Natural climate, vegetation, geology, hydrology
  • Built buildings and patterns of settlement
  • Behavior
  • Exposure, culture, technology how we live and
    interact with each other and the environment
    affects our health

6
Epidemiology
  • From Lasts Dictionary of Epidemiology
  • Epidemiology is defined as the study of the
    distribution and determinants of health-related
    states or events in specified populations.
  • It follows then, that a Spatial Epidemiologist
    would be interested in the spatial distribution
    of health events, and the spatial relationship of
    associated health determinants.

7
A picture is worth 10,000 words
  • Maps are the most fundamental tool for describing
    the spatial distribution of data.

8
The earliest map?
6200 BC Ankara, Turkey excavation of Çatalhöyük
site in Anatolia
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10
History of Disease Maps
  • The 1700s were the golden age of mapping, and
    graphs in general.
  • Map in 1798 of cases of yellow fever in New York
    by Valentine Seaman.
  • Maps documented the spread of cholera from India
    to Europe in the early 1800s.
  • Famous John Snow Cholera map of 1855.

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13
  • Spatial epidemiology has only relatively recently
    become popular due to advances in information
    technology
  • Availablity of spatial data (both health and
    non-health data)
  • Desktop computing power

14
The Introduction of GIS
  • GIS term first used in the 1960s
  • Federal Geographic Data Committee (FGDC)
    definition A Geographical Information System is
    a computer system for the input, storage,
    maintenance, management, retrieval, analysis,
    synthesis, and output of geographic or
    location-based information.

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16
John Snow 1855 Cholera Outbreak of London
Start
17
GIS Pros and Cons
  • The availability of GIS has greatly simplified
    the ability to create maps and perform
    exploratory spatial data analysis.
  • Perhaps too simple, though.
  • Need to critically review the quality of data
    that goes into mapping and the methods used in
    modeling spatial processes
  • Evaluate the analyses for potential confounders

18
GIScience
Spatial Data
Spatial Analysis
Information
GIS Geographic Information Sciences
19
How to lie with maps
  • Monmonier writes, "Not only is it easy to lie
    with maps, it's essential...." The cartographer's
    paradox is that "to avoid hiding critical
    information in a fog of detail, the map must
    offer a selective, incomplete view of reality."

20
Thematic Maps
  • Thematic (or choropleth) maps are maps of polygon
    data, for instance county data that vary in
    shading or color according to a quantity
    associated with each county.
  • Thematic or choropleth maps are a model of
    reality. We model the data by creating legends
    that tell a particular story.

21
Choropleth Maps
Natural break
The story we tell depends upon how we choose to
create the legend
Equal ranges
Equal counts
22
Choosing map data
  • If we map number of cases instead of rates

Is the disease risk in A really similar to
B? Misleading because the underlying population
may be much greater in A.
A
B
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24
Modifiable Area Unit Problem
  • The scale at which we perform spatial analyses
    can influence the results.
  • The larger the unit of aggregation the more
    likely attributes will be correlated.
  • ex. Analysis at the census block level versus the
    census tract level.
  • Also by aggregating into different groups you can
    get different results

25
Small population problems
  • Rates based on small populations and areas and
    for rare diseases in particular may be
    unreliable.
  • Example variance of the SMR is proportional to
    (exp deaths)-1
  • Possible solutions
  • Present the data anyway, but with caveats.
  • Use smoothing procedures such as Bayesian
    Smoothing, and document the smoothing procedure
    used.
  • Accumulate data over years and area (but MAUP).

26
Breast Cancer Incidence forCape Cod 1982-94 from
the Silent Springs Institutes work
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Ecological Fallacy
  • Also known as Aggregation bias, or Cross-level
    bias.
  • Making inferences from data collected at one
    scale to individuals or communities aggregated at
    other scales.
  • Example the hung jury
  • vs Atomistic Fallacy

29
Some Examples
Things to think about
Spatial Data
Spatial Analysis
Information
Whered the data come from?
How was the map produced?
To whom is the information useful? and How is the
information being communicated?
30
Global Distribution of Malaria
31
Snail Density, risk factor schistosomiasis
within a Chinese village
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Drinking Water risks
34
Pesticide Risks
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37
THE OCTOBER 17, 1989 LOMA PRIETA
EARTHQUAKEOCTOBER 1989 Introduction At 504
P.M., Tuesday, October 17, 1989, as over 62,000
fans filled Candlestick Park for the third game
of the World Series and the San Francisco Bay
Area commute moved into its heaviest flow, a
Richter magnitude 7.1 earthquake struck. It was
an emergency planner's worst-case scenario. The
20-second earthquake was centered about 60 miles
south of San Francisco, and was felt as far away
as San Diego and western Nevada. Scientists had
predicted an earthquake would hit on this section
of the San Andreas Fault and considered it one of
the Bay Area's most dangerous stretches of the
fault.
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41
East Bay Hills 1991 Fire
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43
California Flood Hazards
44
Toxics Release Inventory
The TRI is a publicly available EPA database that
contains information on toxic chemical releases
and other waste management activities reported
annually by certain covered industry groups as
well as federal facilities. This inventory was
established under the Emergency Planning and
Community Right-to-Know Act of 1986 (EPCRA) and
expanded by the Pollution Prevention Act of 1990.

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