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. 2024 Aug;79(8):2173-2185.
doi: 10.1111/all.16227. Epub 2024 Jul 12.

Forecasting daily total pollen concentrations on a global scale

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Forecasting daily total pollen concentrations on a global scale

László Makra et al. Allergy. 2024 Aug.

Erratum in

Abstract

Background: There is evidence that global anthropogenic climate change may be impacting floral phenology and the temporal and spatial characteristics of aero-allergenic pollen. Given the extent of current and future climate uncertainty, there is a need to strengthen predictive pollen forecasts.

Methods: The study aims to use CatBoost (CB) and deep learning (DL) models for predicting the daily total pollen concentration up to 14 days in advance for 23 cities, covering all five continents. The model includes the projected environmental parameters, recent concentrations (1, 2 and 4 weeks), and the past environmental explanatory variables, and their future values.

Results: The best pollen forecasts include Mexico City (R2(DL_7) ≈ .7), and Santiago (R2(DL_7) ≈ .8) for the 7th forecast day, respectively; while the weakest pollen forecasts are made for Brisbane (R2(DL_7) ≈ .4) and Seoul (R2(DL_7) ≈ .1) for the 7th forecast day. The global order of the five most important environmental variables in determining the daily total pollen concentrations is, in decreasing order: the past daily total pollen concentration, future 2 m temperature, past 2 m temperature, past soil temperature in 28-100 cm depth, and past soil temperature in 0-7 cm depth. City-related clusters of the most similar distribution of feature importance values of the environmental variables only slightly change on consecutive forecast days for Caxias do Sul, Cape Town, Brisbane, and Mexico City, while they often change for Sydney, Santiago, and Busan.

Conclusions: This new knowledge of the ecological relationships of the most remarkable variables importance for pollen forecast models according to clusters, cities and forecast days is important for developing and improving the accuracy of airborne pollen forecasts.

Keywords: allergy; artificial intelligence; environmental variables; feature importance cluster; pollen forecast.

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References

REFERENCES

    1. Masoli M, Fabian D, Holt S, Beasley R. The global burden of asthma: executive summary of the GINA dissemination committee report. Allergy. 2004;59:469‐478.
    1. World Allergy Organisation. In: Pawankar R, Canonica GW, Holgate S, Lockey RF, eds. White Book on Allergy: Update 2013. World Allergy Organization; 2013.
    1. National Asthma Council Australia. Updated Asthma Charts for Health Professionals. Accessed June 25, 2023. http://www.nationalasthma.org.au
    1. GBD 2017 Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the global burden of disease study 2017. Lancet. 2018;392:1789‐1858.
    1. World Health Organization. World Health Statistics 2018: Monitoring Health for the SDGs, Sustainable Development Goals. World Health Organization; 2018.

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