Title

The Clinical Utility of Pollen Counts.

Document Type

Article

Publication Date

12-2019

Identifier

DOI: 10.1007/s12016-018-8698-8

Abstract

In this review, we describe how pollen counts are performed, the health effects caused by exposure to varying amounts of pollen, the clinical utility of reporting pollen counts to the public, and how that information can be used by patients who have allergies to improve their health. The public is very interested in pollen counts, particularly if the counts provide a forecast of expected pollen exposure for the next few days. Traditional pollen counts are labor-intensive; poorly distributed; and, since the counts are usually 1-day-old, do not provide forecasts that can be acted on. New methods that provide short- and long-term pollen forecasts can provide this information to allergic individuals so that they can respond to changing outdoor conditions. Studies of the relationship between artificial and natural exposure to pollen and development of symptoms have provided improved understanding into how much pollen it takes to cause symptoms. Thresholds for pollen counts that trigger symptoms vary by pollen type, sensitivity of the population, and interactions with other atmospheric exposures. Strategies to inform the public when the pollen count poses a health risk have been proposed along with computerized systems that provide personalized pollen alerts. The best performing public notification system was a "traffic light system" that reported pollen exposure as low, 0-30; intermediate, 31-50; or high, 51-150. This system outperformed other threshold systems used in Sweden and in Britain/Denmark. Continued improvements in pollen forecasting models combined with data provided by automated pollen counters and better public reporting should permit allergic individuals and urban planners to adapt effectively to changes in outdoor aeroallergen exposures.

Journal Title

Clinical reviews in allergy & immunology

Volume

57

Issue

3

First Page

340

Last Page

349

MeSH Keywords

Allergens; Cell Count; Climate; Humans; Pollen; Rhinitis, Allergic, Seasonal; Severity of Illness Index

Keywords

Allergic rhinitis; Pollen; Ragweed

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