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Can pollen explain the seasonality of flu-like illnesses in the Netherlands?

Current models for flu-like epidemics insufficiently explain multi-cycle seasonality. Meteorological factors alone, including the associated behavior, do not predict seasonality, given substantial climate differences between countries that are subject to flu-like epidemics or COVID-19. Pollen is doc...

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Autores principales: Hoogeveen, Martijn J., van Gorp, Eric C.M., Hoogeveen, Ellen K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7580695/
https://www.ncbi.nlm.nih.gov/pubmed/33131881
http://dx.doi.org/10.1016/j.scitotenv.2020.143182
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author Hoogeveen, Martijn J.
van Gorp, Eric C.M.
Hoogeveen, Ellen K.
author_facet Hoogeveen, Martijn J.
van Gorp, Eric C.M.
Hoogeveen, Ellen K.
author_sort Hoogeveen, Martijn J.
collection PubMed
description Current models for flu-like epidemics insufficiently explain multi-cycle seasonality. Meteorological factors alone, including the 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, it plays a role in immuno-activation and defense against respiratory viruses, and seems to create a bio-aerosol that lowers the reproduction number of flu-like viruses. Therefore, we hypothesize that pollen may explain the seasonality of flu-like epidemics, including COVID-19, in combination with meteorological variables. We have tested the Pollen-Flu Seasonality Theory for 2016–2020 flu-like seasons, including COVID-19, in the Netherlands, with its 17.4 million inhabitants. We combined changes in flu-like incidence per 100 K/Dutch residents (code: ILI) with pollen concentrations and meteorological data. Finally, a predictive model was tested using pollen and meteorological threshold values, inversely correlated to flu-like incidence. We found a highly significant inverse correlation of r(224) = −0.41 (p < 0.001) between pollen and changes in flu-like incidence, corrected for the incubation period. The correlation was stronger after taking into account the incubation time. We found that our predictive model has the highest inverse correlation with changes in flu-like incidence of r(222) = −0.48 (p < 0.001) when average thresholds of 610 total pollen grains/m(3), 120 allergenic pollen grains/m(3), and a solar radiation of 510 J/cm(2) are passed. The passing of at least the pollen thresholds, preludes the beginning and end of flu-like seasons. Solar radiation is a co-inhibitor of flu-like incidence, while temperature makes no difference. However, higher relative humidity increases with flu-like incidence. We conclude that pollen is a predictor of the inverse seasonality of flu-like epidemics, including COVID-19, and that solar radiation is a co-inhibitor, in the Netherlands.
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spelling pubmed-75806952020-10-23 Can pollen explain the seasonality of flu-like illnesses in the Netherlands? Hoogeveen, Martijn J. van Gorp, Eric C.M. Hoogeveen, Ellen K. Sci Total Environ Article Current models for flu-like epidemics insufficiently explain multi-cycle seasonality. Meteorological factors alone, including the 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, it plays a role in immuno-activation and defense against respiratory viruses, and seems to create a bio-aerosol that lowers the reproduction number of flu-like viruses. Therefore, we hypothesize that pollen may explain the seasonality of flu-like epidemics, including COVID-19, in combination with meteorological variables. We have tested the Pollen-Flu Seasonality Theory for 2016–2020 flu-like seasons, including COVID-19, in the Netherlands, with its 17.4 million inhabitants. We combined changes in flu-like incidence per 100 K/Dutch residents (code: ILI) with pollen concentrations and meteorological data. Finally, a predictive model was tested using pollen and meteorological threshold values, inversely correlated to flu-like incidence. We found a highly significant inverse correlation of r(224) = −0.41 (p < 0.001) between pollen and changes in flu-like incidence, corrected for the incubation period. The correlation was stronger after taking into account the incubation time. We found that our predictive model has the highest inverse correlation with changes in flu-like incidence of r(222) = −0.48 (p < 0.001) when average thresholds of 610 total pollen grains/m(3), 120 allergenic pollen grains/m(3), and a solar radiation of 510 J/cm(2) are passed. The passing of at least the pollen thresholds, preludes the beginning and end of flu-like seasons. Solar radiation is a co-inhibitor of flu-like incidence, while temperature makes no difference. However, higher relative humidity increases with flu-like incidence. We conclude that pollen is a predictor of the inverse seasonality of flu-like epidemics, including COVID-19, and that solar radiation is a co-inhibitor, in the Netherlands. The Author(s). Published by Elsevier B.V. 2021-02-10 2020-10-22 /pmc/articles/PMC7580695/ /pubmed/33131881 http://dx.doi.org/10.1016/j.scitotenv.2020.143182 Text en © 2020 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Hoogeveen, Martijn J.
van Gorp, Eric C.M.
Hoogeveen, Ellen K.
Can pollen explain the seasonality of flu-like illnesses in the Netherlands?
title Can pollen explain the seasonality of flu-like illnesses in the Netherlands?
title_full Can pollen explain the seasonality of flu-like illnesses in the Netherlands?
title_fullStr Can pollen explain the seasonality of flu-like illnesses in the Netherlands?
title_full_unstemmed Can pollen explain the seasonality of flu-like illnesses in the Netherlands?
title_short Can pollen explain the seasonality of flu-like illnesses in the Netherlands?
title_sort can pollen explain the seasonality of flu-like illnesses in the netherlands?
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7580695/
https://www.ncbi.nlm.nih.gov/pubmed/33131881
http://dx.doi.org/10.1016/j.scitotenv.2020.143182
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