The grass pollen season 2015: a proof of concept multi-approach study in three different European cities

Kmenta, Maximilian; Bastl, Katharina; Berger, Uwe; Krämer, Matthias; Heath, M. F.; Pätsi, Sanna; Pessi, Anna-Mari; Saarto, Annika; Werchan, Barbora; Werchan, Matthias; Zetter, Reinhard; Bergmann, Karl‐Christian

doi:10.1186/s40413-017-0163-2

Cited by 29 publications

(20 citation statements)

References 29 publications

(36 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, we found that Phleum made up a very small proportion of metabarcoding reads ( Supplementary Figure 1), corresponding with the results of an earlier phenological study 9 .…”

supporting

confidence: 89%

“…However, despite the harmful impact of grass pollen on human health, especially as reported in developed nations, current studies and forecasts categorize grass pollen at the family level (Poaceae) 6,7 due to difficulties in differentiating species based on morphology 8 . Furthermore, while different species of temperate grass flower at different timepoints 9,10 , it is unknown if the disparate phenology of local grass taxa at ground level are useful for making predictions on the seasonal variation in airborne pollen. Airborne pollen is highly mobile 11,12 and pollen concentrations often do not directly correlate to local flowering times 11 .…”

mentioning

confidence: 99%

See 1 more Smart Citation

Temperate airborne grass pollen defined by spatio-temporal shifts in community composition

et al. 2019

View full text Add to dashboard Cite

“…However, we found that Phleum made up a very small proportion of metabarcoding reads ( Supplementary Figure 1), corresponding with the results of an earlier phenological study 9 .…”

supporting

confidence: 89%

mentioning

confidence: 99%

Temperate airborne grass pollen defined by spatio-temporal shifts in community composition

et al. 2019

View full text Add to dashboard Cite

“…Species such as Phleum pratense have been identified to be a major source of allergenic pollen [5, 22]. However, we found that Phleum made up a very small proportion of metabarcoding reads (Fig 2), corresponding with the results of an earlier phenological study [23]. Most genera, such as Phleum, Anthoxanthum and Dactylis , show distinct and narrow temporal incidence (Fig 2), and could allow researchers to identify grass species associated with allergenic windows with greater accuracy.…”

Section: Resultssupporting

confidence: 85%

Temperate grass allergy season defined by spatio-temporal shifts in airborne pollen communities

Brennan

Potter²,

Griffith³

et al. 2018

Preprint

View full text Add to dashboard Cite

32Grass pollen is the world's most harmful outdoor aeroallergen and sensitivity varies between 33 species. Different species of grass flower at different times, but it is not known how airborne 34 communities of grass pollen change in time and space. Persistence and high mobility of grass 35 pollen could result in increasingly diverse seasonal pollen communities. Conversely, if grass 36 pollen does not persist for an extended time in the air, shifting pollen communities would be 37 predicted throughout the summer months. Here, using targeted high throughput sequencing, 38we tracked the seasonal progression of airborne Poaceae pollen biodiversity across Britain, 39 throughout the grass allergy season. All grass genera displayed discrete, temporally restricted 40 peaks of pollen incidence which varied with latitude, revealing that the taxonomic composition 41 of grass pollen exposure changes substantially across the allergy season. By developing more 42 refined aeroallergen profiling, we predict that our findings will facilitate the exploration of links 43 between taxon-specific exposure of harmful grass pollen and disease, with concomitant socio-44 economic benefits. 45 46 47

show abstract

“…Data were selected and retrieved only for districts in Vienna (Austria) for the years 2013 until 2017 since user numbers are especially high from 2013 onwards. More than 50 entries per season allow a statistical analysis of a pollen season in terms of crowd-sourced symptom data [ 17 ]. This recommendation was far exceeded by daily mean entries of above 25 (see Area classification).…”

Section: Methodsmentioning

confidence: 99%

“…Pollen measurements are needed for the definition of a pollen season and for comparisons with the SLI (e.g. [ 15 , 17 ]). Thus, the SLI as a number on its own is independent of pollen data and calculated only on symptom data, but is in need for pollen data when a pollen season has to be defined as a prerequisite for a mean SLI in a certain period.…”

Section: Introductionmentioning

confidence: 99%

The connection of pollen concentrations and crowd-sourced symptom data: new insights from daily and seasonal symptom load index data from 2013 to 2017 in Vienna

Bastl

Kmenta

Berger

et al. 2018

World Allergy Organization Journal

Self Cite

View full text Add to dashboard Cite

BackgroundOnline pollen diaries and mobile applications nowadays allow easy and fast documentation of pollen allergy symptoms. Such crowd-sourced symptom data provides insights into the development and the onset of a pollen allergy. Hitherto studies of the symptom load index (SLI) showed a discrepancy between the SLI and the total pollen amount of a season, but did not analyze the daily data.MethodsThe Patient’s Hayfever Diary (PHD) was used as data pool for symptom data. Symptom data of Vienna (Austria) was chosen as a large and local sample size within the study period of 2013 until 2017. The city was divided into three different areas based on equal population densities and different environmental factors. Correlation factors, regression lines, locally weighted smoothing (LOESS) curves and line plots were calculated to examine the data.ResultsDaily SLI and pollen concentration data correlates well and the progress of the SLI within a pollen season is mirrored by the pollen concentrations. The LOESS curves do not deviate much from the regression line and support the linearity of the symptom-pollen correlation on a daily basis. Seasonal SLI data does not follow the same pattern as the respective seasonal pollen indices. Results did not vary in the three areas within Vienna or when compared with the Eastern region of Austria showing no significant spatial variation of the SLI.DiscussionResults indicate a linear relationship of the SLI and pollen concentrations/seasonal polllen index (SPIn) on a daily basis for both in general and throughout the season, but not on a seasonal basis. These findings clarify the frequent misinterpretation of the SLI as index that is tightly connected to pollen concentrations, but reflects as well the seasonal variation of the burden of pollen allergy sufferers.ConclusionMore than just the seasonal pollen index has to be considered when the SLI of a selected pollen season has to be explained. Cross-reactivity to other pollen types, allergen content and air pollution could play a considerable role. The similar behavior of the SLI in Vienna and a whole region indicate the feasibility of a possible symptom forecast in future and justifies the use of a single pollen monitoring station within a city of the size of Vienna.

show abstract

The grass pollen season 2015: a proof of concept multi-approach study in three different European cities

Cited by 29 publications

References 29 publications

Temperate airborne grass pollen defined by spatio-temporal shifts in community composition

Temperate airborne grass pollen defined by spatio-temporal shifts in community composition

Temperate grass allergy season defined by spatio-temporal shifts in airborne pollen communities

The connection of pollen concentrations and crowd-sourced symptom data: new insights from daily and seasonal symptom load index data from 2013 to 2017 in Vienna

Contact Info

Product

Resources

About