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CDC, National Center for Environmental Health

Health applications for climate data. Pollen Grains. Shubhayu Saha Climate and Health Program Centers for Disease Control and Prevention. CDC, National Center for Environmental Health.

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CDC, National Center for Environmental Health

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  1. Health applications for climate data Pollen Grains Shubhayu Saha Climate and Health Program Centers for Disease Control and Prevention CDC, National Center for Environmental Health

  2. "The findings and conclusions in this report are those of the author(s) and do not necessarily represent the official view of Centers for Disease Control ShubhayuSaha Presenter Disclosures CDC, National Center for Environmental Health

  3. Climate-sensitive health outcomes CDC’s role in translation and capacity building Example of establishing health-weather associations Projecting future health burden Outline CDC, National Center for Environmental Health

  4. Temperature extremes Aeroallergens Vectorborne disease Injuries from extreme weather events Wildfire National Climate Assessment – Health implications CDC, National Center for Environmental Health

  5. Mortality risk from heat waves CDC, National Center for Environmental Health Andersen and Bell, 2011, Environmental Health Perspectives

  6. Temperature increase and change in length of Ragweed season CDC, National Center for Environmental Health Ziska et al., 2011 PNAS

  7. Vectorborne diseases 17029 cases 24364 cases Changes in georgaphical distribution Longer transmission season Higher tick densities

  8. CDC, National Center for Environmental Health Weather-related motor vehicle fatalities (Marmor et al, JAPH 2006)

  9. CDC, National Center for Environmental Health

  10. BuildingResilienceAgainstClimateEffects Climate and Health Program, National Center for Environmental Health

  11. Geometric centroid of census blocks Step 1: Creating population weighted county centroid Generating County-level Measures Population weighted County centroid County boundary Adjacent grid cells Step 2: Selecting the grid cell that contains the population weighted county centroid Step 3: County-level values obtained by averaging values of all the 9 grid cells NLDAS grid CDC, National Center for Environmental Health Grid cell containing the population weighted centroid

  12. Daily Comparison: Scatter plot by Climate Region r = 0.91 t = 0.76 r = 0.88 t = 0.69 r = 0.92 t = 0.76 NLDAS-based maximum temperature (F) r = 0.87 t = 0.70 r = 0.87 t = 0.70 r = 0.90 t = 0.72 r = 0.90 t = 0.75 r = 0.82 t = 0.64 r = 0.89 t = 0.71 Station-based maximum temperature (F) Comparison for May – September 2006

  13. The National Environmental Public Health Tracking Network CDC, National Center for Environmental Health • The network provides data on: • Extreme heat days and events • Heat vulnerability • Health effects associated with extreme heat http://ephtracking.cdc.gov/showHome.action

  14. The National Environmental Public Health Tracking Network CDC, National Center for Environmental Health http://ephtracking.cdc.gov/showHome.action

  15. What is the temporal association of Hyperthermia-related ED visit with different measures of ambient heat? • How does this association vary by place? CDC, National Center for Environmental Health

  16. Data elements • For 141 Metropolitan Statistical Areas in continental US: • National Climatic Data Center: • Daily temperature, humidity • 30 year daily normal for maximum temperature • Spatial Synoptic classification • MarketScan health data: • ED visit of Hyperthermia by date, county of healthcare, age, gender • Air pollution data: • Daily monitor-level PM2.5 and Ozone data CDC, National Center for Environmental Health

  17. Analytical strategy • Case crossover design – same patient treated as Case and Control • Half-month time-stratified control selection Calendar month 1 8 15 22 31 Patient 1 CDC, National Center for Environmental Health Patient 2 Patient 3 Case day Control day

  18. Is the temperature different leading to an ED visit? CDC, National Center for Environmental Health

  19. Conditional logistic regression CDC, National Center for Environmental Health

  20. Temperature profile on ED visit days change by place CDC, National Center for Environmental Health

  21. Odds ratio of ED visit associated with extreme heat by Latitude 13 7 23 5 8 15 12 11 CDC, National Center for Environmental Health

  22. Random Effects meta-analysis of Odds Ratios of ED visit West North Central 1.16 (1.07, 1.26) Northwest 1.16 (1.07, 1.26) East North Central 1.18 (1.14, 1.21) 11 8 2 Northeast 1.15 (1.13, 1.17) 1 West 1.12 (1.09, 1.14) Central 1.17 (1.16, 1.19) Southwest 1.05 (1.02, 1.10) 13 South 1.12 (1.10, 1.13) 22 8 Southeast 1.14 (1.12, 1.16) 4 CDC, National Center for Environmental Health 25

  23. CDC, National Center for Environmental Health Benefit Mapping and Analysis tool EPA (Neal Fann, ISEE 2009)

  24. CDC, National Center for Environmental Health (Environmental Health Perspective, 2011)

  25. CDC, National Center for Environmental Health Li, Horton, Kinney (Nature, 2013)

  26. Conclusion • Extreme weather events and their health impacts • Short vs long term decision-making horizon in public health • Small spatial scale, as many health vulnerabilities are highly localized • Need for translating climate projections to an interested but uninformed health community • Building regional collaborations CDC, National Center for Environmental Health

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