Journal article

Characterising non-linear associations between airborne pollen counts and respiratory symptoms from the AirRater smartphone app in Tasmania, Australia: A case time series approach

Penelope J Jones, Iain S Koolhof, Amanda J Wheeler, Grant J Williamson, Christopher Lucani, Sharon L Campbell, David JMS Bowman, Nick Cooling, Antonio Gasparrini, Fay H Johnston

ENVIRONMENTAL RESEARCH | ACADEMIC PRESS INC ELSEVIER SCIENCE | Published : 2021

Abstract

Pollen is a well-established trigger of asthma and allergic rhinitis, yet concentration-response relationships, lagged effects, and interactions with other environmental factors remain poorly understood. Smartphone technology offers an opportunity to address these challenges using large, multi-year datasets that capture individual symptoms and exposures in real time. We aimed to characterise associations between six pollen types and respiratory symptoms logged by users of the AirRater smartphone app in Tasmania, Australia. We analyzed 44,820 symptom reports logged by 2272 AirRater app users in Tasmania over four years (2015-2019). With these data we evaluated associations between daily respi..

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Grants

Funding Acknowledgements

Initial funding for the AirRater project was provided by Sense-T through support from the Australian Government. Current funding is provided by the Menzies Institute for Medical Research (University of Tasmania) , the Department of Health (Tasmania) , ACT Health and the Department of Health, Northern Territory.