Global Pollen Trends: Effects of Temperature and Precipitation

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Presentation transcript:

Global Pollen Trends: Effects of Temperature and Precipitation and Implications for Human Health Paul J. Schramm1; Brown, C.2; Saha, S.1; Manangan, A.1; Conlon, K.1; Bell, J.3, Gerber, K.4; Atalla, L.5; Hess, J.J.6 1Climate and Health Program, Division of Environmental Hazards and Health Effects, National Center for Environmental Health, Centers for Disease Control and Prevention 2Karna, LLC for Climate and Health Program, Division of Environmental Hazards and Health Effects, National Center for Environmental Health, Centers for Disease Control and Prevention 3NOAA National Climatic Data Center and Cooperative Institute for Climate and Satellites, North Carolina State University 4Calvin College 5Emory University 6Division of Emergency Medicine, Department of Medicine, University of Washington School of Medicine National Center for Environmental Health Division of Environmental Hazards and Health Effects

Presenter Disclosures No relationships to disclose

Background Pollen affects health 30 – 60 million Americans with Allergic Rhinitis1 $11 billion per year spent on treatment2 Asthma3, chronic obstructive pulmonary disease4, and respiratory tract infections4 can be caused or exacerbated by pollen inhalation Increasing evidence of changes in pollen production Key question: How are shifts in temperature and precipitation affecting pollen production? 1Wallace et al, 2008; 2Blaiss et al, 2010; 3Cicera et al, 2012; 4Hanigan and Johnston, 2007

Methods – Literature Review Peer-reviewed published research tracking pollen counts over time Through January 31, 2016 (currently updating through October 2017) Environmental Science Collection, Scopus, and CAB Abstracts databases Title or abstract contained: a pollen-related term adjacent (within three words) to a measurement/trend term a term relating to seasonality, climate, or temperature Pollen terms Measurement terms Seasonal terms Pollen, aero-allerg*, aeroallerg* Quantit*, producti*, increase*, release*, amount*, concentration*, elevat*, measure*, detection, trend*, count*, change*, variation*, data, cubic meter*, cubic metre*, scale, level*, index, indices , grains, records Season*, Phenolog*, Spring, Autumn, Fall, flowering, start, peak, onset, temperature*, climate, aerobiolog*, forecast*, pattern* Search was intended to capture research that tracked pollen over time and related it to a meteorological variable or trend.

Parameters for Study Inclusion Study length: At least 5 years of measured pollen data Pollen: Airborne pollen measurements Trends: Analyze or report the presence or absence of a trend in seasonality (length, start, end, or peak pollen date) or intensity (total annual pollen, daily concentration, or peak concentration) Meteorological Data: Analyze or report relationship between pollen and locally/regionally relevant meteorological data Reporting: Quantitative pollen or trend data

8723 articles identified 307 screened in-depth 62 included PRISMA outline of search process and identification of articles.

Results Number of Analyses Season start date 191 Season end date 112 Peak pollen date 73 Season length 161 Total annual pollen 1499 Mean daily pollen 35 Peak day pollen 71 “analysis” is a specific pollen measurement in a specific location. For example: season start date for oak pollen at a site in the USA, total annual tree pollen at a site in Europe. We use “analysis” instead of “study” because one manuscript often contains multiple analyses (multiple types of pollen, multiple sites, and/or examination of multiple effects).

Study Site Locations Location of each analysis. Each dot may represent more than one analysis. Europe is over-represented. USA second most representation. Study is not representative of the Southern Hemisphere.

Shifts in Pollen Timing (% of analyses) Results for shifts in pollen timing: -Mostly earlier start date -Later end date -Earlier peak date

Shifts in Pollen Amount (% of analyses) -More total annual pollen -More mean daily pollen -More peak day pollen

Oak pollen and higher temperatures + * Temperature measured medium-term (current seasonal or annual average, or previous season). -Start date is earlier -Annual amount is greater -Mean daily amount is greater Also analyzed affect of temperature on oak season length, peak date, end date, and peak day amount. *Mean Daily Pollen [Study with 14 sites reported average positive association] +Annual Pollen [Study with 97 sites reported significant positive association between mean temperature Jan-April and annual oak pollen count]

Ragweed pollen and higher temperatures * Higher temperatures resulted in: -Longer season length -Greater average daily ragweed pollen count (but only 4 studies) *Annual Pollen [Study with 97 sites reported significant positive association between mean temperature and annual ragweed pollen count]

Summary For both oak and ragweed, association between increasing temperatures and: earlier start dates greater mean daily pollen greater total annual pollen Meta-analysis is exceedingly difficult Need for consistent data; National pollen monitoring network (CSTE/CDC) Meta-analysis is difficult because studies are very different. They measure different types of pollen in different areas over different time periods. They classify meteorological variables in different ways and different timeframes. They report results in different formats, sometimes only reporting averages and not always reporting significance.

Next Steps Update with 2017 data Analysis of geographic variation Analysis of impact of precipitation Statistical analysis of impacts of temperature and precipitation on pollen production

Climate and Health Program Division of Environmental Hazards & Health Effects National Center for Environmental Health Centers for Disease Control and Prevention Email: pschramm@cdc.gov climateandhealth@cdc.gov Website: http://www.cdc.gov/climateandhealth/ Thanks very much. For more information please contact the Centers for Disease Control and Prevention 1600 Clifton Road NE, Atlanta, GA 30333 Telephone: 1-800-CDC-INFO (232-4636)/TTY: 1-888-232-6348 E-mail: cdcinfo@cdc.gov Web: http://www.cdc.gov The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention. National Center for Environmental Health Division of Environmental Hazards and Health Effects