Human health risk assessment: the M li

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Human health risk
assessment: the
M
Mongolian
li herders
h d
example
p
Craig R. Janes
30 October 2008
SFU
SIMON FRASER UNIVERSITY
FACULTY OF HEALTH SCIENCES
SFU
SIMON FRASER UNIVERSITY
FACULTY OF HEALTH SCIENCES
Problem Definition
• What factors predict the vulnerability of communities,
households, and individuals to climateclimate-related
h
hazards?
d ?
• What are the pathways through which vulnerability
affects health?
• Vulnerability is context dependent
• Vulnerabilityy ((risk)) is an outcome of the
interrelationship of exogenous hazards (climate)
sensitivities, and the capacity of systems and
communities to adapt to these hazards
• Issues of scale
SFU
SIMON FRASER UNIVERSITY
FACULTY OF HEALTH SCIENCES
Management Objectives
• Aspirational
Aspirational:
p
: Reduce vulnerabilityy of rural
populations to climateclimate-related hazards
g
risks for illill• Observational
Observational:: Identifyy and mitigate
health outcomes in vulnerable households &
individuals
• Means
Means:: Reduce vulnerability by decreasing
sensitivity to exogenous hazards, specifically
b ffocusing
by
i on systemsystem
t -level
l
l ((public,
bli gov’t
gov’t)
’t))
’t
institutions
SFU
SIMON FRASER UNIVERSITY
FACULTY OF HEALTH SCIENCES
Indicators of Risk
• Vulnerability is a function of the severity and timing of a
hazard as modified by the sensitivity of, and adaptive
capacities within, a community system
• Relates to the PROBABILITY associated with a
particular outcome (health) occurring within a particular
time period (primary
(primary indicator)
indicator)
• MAGNITUDE of the impact on intervening processes
(livestock mortality)
SFU
SIMON FRASER UNIVERSITY
FACULTY OF HEALTH SCIENCES
Indicators of risk,
risk, continued: Interactions
Across Levels of Analysis
Climate change
Global factors,,
national &
regional
development
Community and
household
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SIMON FRASER UNIVERSITY
FACULTY OF HEALTH SCIENCES
• Regulatory
presence of state
• Infrastructure
supports
• Local
cooperation,
collaboration
• Social networks
and “capital”
Houssehold
• Small-state
solutions
• Infrastructure
disinvestment
• Resource
privatization
• Markets
• Emergency
preparedness
Comm
munity
Glo
obal-Na
ational
Indicators of Risk:
Risk: Sensitivity and
Adaptive Capacity
SFU
• Household labour
• Skills/knowledge
(TEK)
• Household
decision-making
decision
making
• Household
production of
health
SIMON FRASER UNIVERSITY
FACULTY OF HEALTH SCIENCES
Indicators of Risk,
Risk, continued: Endpoints
• Outcomes
• Livelihood security at level of household and
community
• Effects across lifecourse
• The social determinants of health
• Probabilities:
Probabilities: Greater “risk” for diseases related to
compromised livelihood security
SFU
SIMON FRASER UNIVERSITY
FACULTY OF HEALTH SCIENCES
Rural Mongolian herders
• IF supported
pp
adequately,
q
y, p
pastoralists are well
able to cope with climate perturbations
q
ecosystems
y
• Non
Non--equilibrium
• Political transition of 1990 weakened
infrastructure support and shifted management
of economic risks to individual households
• Market pressures and mining exploration have
to some degree constrained traditional
adaptive strategies
SFU
SIMON FRASER UNIVERSITY
FACULTY OF HEALTH SCIENCES
Our study….
study
• Assess levels of vulnerability to climate
climate--related
hazards in context of the political transition
• Evaluate whether and to what degree
vulnerability compromises livelihood security at
the le
level
el of the ho
household
sehold
• Health of individual members, focusing
specifically on children
• Primary and secondary data collectio
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SIMON FRASER UNIVERSITY
FACULTY OF HEALTH SCIENCES
Sampling
• 12 C
Counties
ti stratified
t tifi d on th
the b
basis
i off SES
(rough measure of communitycommunity-level sensitivity)
and exposure to climate hazards
• Within each county 88-10% of herding
households sampled
• About 380 households reflecting health
experience of 1,500 individuals
SFU
SIMON FRASER UNIVERSITY
FACULTY OF HEALTH SCIENCES
SFU
SIMON FRASER UNIVERSITY
FACULTY OF HEALTH SCIENCES
Map of Mongolia Showing Research Counties, 200520052007
SFU
SIMON FRASER UNIVERSITY
FACULTY OF HEALTH SCIENCES
Climate--related hazards
Climate
• Average temperature has risen by 1.8 °C since 1963
• Extended high temperature summer periods (by 88-18
days)
• Reduced number of low temperature winter periods (by
13 days)
• Increasing precipitation in Fall and Winter, decreasing
precipitation in Spring & Summer
• Increasing variability of temperature and precipitation
(expanding area of nonnon-equilibrium systems)
• The ““dzuud
dzuud””
SFU
SIMON FRASER UNIVERSITY
FACULTY OF HEALTH SCIENCES
1993-2002 Annual and Early Season
1993Precipitation Amounts, Rural Mongolia
300.0000
250.0000
200 0000
200.0000
annual precip research counties
150.0000
jan-july precip research counties
annual precip all counties
jan-july precip all counties
100.0000
50.0000
.0000
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
SFU
SIMON FRASER UNIVERSITY
FACULTY OF HEALTH SCIENCES
Temperatures, 19931993-2002
25
20
15
10
5
Summer Temperatures, all counties
Winter Temperatures, all counties
0
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
-5
-10
-15
-20
0
SFU
SIMON FRASER UNIVERSITY
FACULTY OF HEALTH SCIENCES
1993-2002 Precipitation Averages
Rural Mongolia Research Sites
300
250
200
150
10-yr avg annual precip
10 yr avg Jan-July precip
100
50
0
SFU
SIMON FRASER UNIVERSITY
FACULTY OF HEALTH SCIENCES
Coefficients of Variation, 1993-2002 Precipitation Amounts
for Rural Mongolia Research Counties
45
40
35
30
25
20
Coeff Var Annual Precip
Coeff Var Jan-July Precip
15
10
5
0
SFU
SIMON FRASER UNIVERSITY
FACULTY OF HEALTH SCIENCES
Climate effects
• Livestock health and mortalityy is central p
pathway
y
• Livestock health is linked to the health of those that
depend on them for food and income
• Impact of climate on livestock health is modified by a
number of factors:
• National/regional
• Community
• Household
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SIMON FRASER UNIVERSITY
FACULTY OF HEALTH SCIENCES
Weakened state
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SIMON FRASER UNIVERSITY
FACULTY OF HEALTH SCIENCES
Disinvestment in infrastructure
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SIMON FRASER UNIVERSITY
FACULTY OF HEALTH SCIENCES
Mining & mineral exploration
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SIMON FRASER UNIVERSITY
FACULTY OF HEALTH SCIENCES
Household-level adaptive strategies
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SIMON FRASER UNIVERSITY
FACULTY OF HEALTH SCIENCES
Consequences for Health
• Vulnerability influences health through a “common
epidemiologic pathway” – the social and economic wellwellbeing of the household
ho sehold
• Findings:
• C
Climate
ate variability
a ab ty p
predicts
ed cts livestock
estoc mortality
o ta ty o
over
e tthe
e 10
0 yea
years
s
that we have decent data
• At household level, social networks and herding strategies linked
to economic status
• In xx--sectional analyses, household economic status is linked to
anemia in children
• 10
10--year precipitation values for the county also predict anemia in
children independently of current livestock holdings (multi(multi-level
analysis)
SFU
SIMON FRASER UNIVERSITY
FACULTY OF HEALTH SCIENCES
List of management options considered in
analysis
l i
• Supports for herders
• Regulation of pasture and water resources
• Secure access to “resource patches” in times of
need
• Protection from mining activities
• Better rural services (health and education)
SFU
SIMON FRASER UNIVERSITY
FACULTY OF HEALTH SCIENCES
Uncertainties that were analyzed
quantitatively
• Uncertain states of nature: temperature and
precipitation
i it ti (d
(drought
(drought—
ht—winter
i t blizzard
bli
d
combinations)
• Measured
M
d only
l iindirectly
di tl and
d iimperfectly
f tl
• Temporality issues
• E.g., migration
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SIMON FRASER UNIVERSITY
FACULTY OF HEALTH SCIENCES
Ways of taking into account uncertainties
about inputs to the analysis
Probabilistic inquiry
Kriguing techniques for estimation of climate
parameters in local settings
Indirect methods/proxy measures of key inputs
Triangulation
Comparative methods (strengths and
weaknesses)
SFU
SIMON FRASER UNIVERSITY
FACULTY OF HEALTH SCIENCES
Description of system’s processes / relationships / linkages
From Johnston, Lesley (2008) MINING MONGOLIA: RESOURCE ACCESS, CLIMATE CHANGE AND
VULNERABILITY ON THE STEPPE. MSC THESIS, FHS.
SFU
SIMON FRASER UNIVERSITY
FACULTY OF HEALTH SCIENCES
Analyses of sensitivity of conclusions
• Assumptions…..
• Causality
• Poor control of potential confounders
p
y and loss of key
yp
population
p
• Temporality
groups
• National/regional level parameters
unmeasured
SFU
SIMON FRASER UNIVERSITY
FACULTY OF HEALTH SCIENCES
Acknowledgements
• Research assistants: Oyuntsetseg
Chuluundorj, Ph.D.; Lesley Johnston, MSc
MSc..
• Colleagues in Ulaanbaatar, especially N.
Sumberzul,, Dean of the School of Public
Sumberzul
Health at HSUM
• Funding provided by the U.S. National Science
Foundation
SFU
SIMON FRASER UNIVERSITY
FACULTY OF HEALTH SCIENCES
SFU
SIMON FRASER UNIVERSITY
FACULTY OF HEALTH SCIENCES
SFU
SIMON FRASER UNIVERSITY
FACULTY OF HEALTH SCIENCES
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