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 SFU 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 SFU 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 SFU SIMON FRASER UNIVERSITY FACULTY OF HEALTH SCIENCES Weakened state SFU SIMON FRASER UNIVERSITY FACULTY OF HEALTH SCIENCES Disinvestment in infrastructure SFU SIMON FRASER UNIVERSITY FACULTY OF HEALTH SCIENCES Mining & mineral exploration SFU SIMON FRASER UNIVERSITY FACULTY OF HEALTH SCIENCES Household-level adaptive strategies SFU 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 SFU 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