Open Research will be updating the system on Tuesday, 14 July 2026, from 8:15 to 9:00 AM. We apologise for any inconvenience caused.

Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Crowd-sourced allergic rhinitis symptom data: The influence of environmental and demographic factors

Loading...
Thumbnail Image

Date

Authors

Silver, Jeremy D.
Spriggs, Kymble
Haberle, Simon
Katelaris, Constance
Newbigin, Edward J.
Lampugnani, Edwin

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier

Abstract

Allergic Rhinitis (AR) affects over half a billion people worldwide with an estimated prevalence of 1 in 5 individuals in developed countries. Although ambient pollen exposure is a causal factor in AR, the symptom-exposure relationship is typically not studied in the broader community but in small, well-characterised cohorts drawn from clinical populations. To identify relationships between AR symptoms in the community and a range of environmental factors, we used a database containing over 96,000 symptom score reports collected over a 3-year period (2014-2016) through freely available smartphone apps released in two Australian cities, Melbourne and Canberra. Ambient pollen levels and symptom scores were strongly related, with grass pollen explaining most of the symptom variation. Other factors correlated with higher symptom scores included temperature (R > 0.73) and wind speed (R > 0.75). In general, worse symptom scores were reported by younger participants, women, and those who had taken medication for AR in the preceding 24 h. The strength of this relationship varied between the two cities. Smartphone-based symptom surveys offer a cost-effective means of studying real-world risk factors for AR in a broader 'extra-clinical' population.

Description

Citation

Source

Science of the Total Environment

Book Title

Entity type

Access Statement

License Rights

Restricted until

2099-12-31
abcd