2020
DOI: 10.1101/2020.06.05.20123133
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Pollen Explains Flu-Like and COVID-19 Seasonality

Abstract: Current models for flu-like epidemics insufficiently explain multi-cycle seasonality. Meteorological factors alone, including associated behavior, do not predict seasonality, given substantial climate differences between countries that are subject to flu-like epidemics or COVID-19. Pollen is documented to be allergenic, plays a role in immuno-activation, and seems to create a bio-aerosol lowering the reproduction number of flu-like viruses. Therefore, we hypothesize that pollen may explain the seasonal… Show more

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Cited by 2 publications
(5 citation statements)
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“…The data presented herein are consistent with those presented earlier by others [ 3 , 4 ], namely, the incidence of ILIs falls as pollen count rises. Because the data of the present study derive from an urban area in North America (Chicago, IL, USA: latitude 41.85003, longitude −87.65005) whilst those of the earlier study derive from North Central Europe (Helmond, the Netherlands: latitude 51.48167, longitude 5.66111), it appears the inverse relationship may be generally valid.…”
Section: Discussionsupporting
confidence: 92%
See 4 more Smart Citations
“…The data presented herein are consistent with those presented earlier by others [ 3 , 4 ], namely, the incidence of ILIs falls as pollen count rises. Because the data of the present study derive from an urban area in North America (Chicago, IL, USA: latitude 41.85003, longitude −87.65005) whilst those of the earlier study derive from North Central Europe (Helmond, the Netherlands: latitude 51.48167, longitude 5.66111), it appears the inverse relationship may be generally valid.…”
Section: Discussionsupporting
confidence: 92%
“…The data presented herein are consistent with those presented earlier by others [3,4], namely, the incidence of ILIs falls as pollen count rises. Because the data of the present study derive from an urban area in North America (Chicago, IL, USA: latitude 41.85003,…”
Section: Discussionsupporting
confidence: 92%
See 3 more Smart Citations