Science of the Total Environment (STE) accepts our paper “Can pollen explain the seasonality of flu-like incidence?“. STE is a respected, peer-reviewed journal of Elsevier Science with an impact factor of 6.5 (2019). The impact factor is based on the average number of citations per year.
In this second study, we explain the seasonality of flu-like incidence including COVID-19. In summary, the study looks at recent medical explanations of the protective effects of seasonal allergens and allergies in relation to influenza and COVID-19. Further, we tested associations between seasonal allergens and flu-like incidence. Finally, we controlled outcomes for meteorological variables.
In the published preliminary study, we already identified pollen as an inhibitor of flu-like incidence.
Prior to its publication, the study is still available as a preprint on medRxiv. Preprint servers are a wonderful tool to share new insights and collect feedback during the peer-review process of a journal.
At first, the popular medical website News Medical picked up the pre-print. Followed by the French Medisite.fr, and Thailand Medical News, covering our findings extensively as well. Also, Yahoo Japan mentions the outcomes, based on an item in the South-Korean newspaper 中央日報 (Central Daily News). Further, Naked Science (RU) summarizes and LIFE (RU) and Izvestia (RU) discuss the outcomes as well as Shafaaq (Iraq), Eg24 (Egypt). The South China Morning Post says “Pollen could play a role in reducing [the] spread of coronavirus, Dutch study finds.” In Chinese, there are many items. For example, in Asia News, QianZhan.com, QQ.com, PPfocus.com, Isanji.com, etc.
Indeed, the appearance of a large amount of pollen in the air can lead to the binding of micro-droplets containing the virus, which slows its spread.Oleg Batishchev, associate professor of the Department of Biophysics at the Moscow Institute of Physics and Technology. Source: newspaper Izvestia (RU).
Indeed, the appearance of a large amount of pollen in the air can lead to the binding of micro-droplets containing the virus, which slows its spread.
Regional Dutch newspapers on October 16, 2020, published an interview about the implications for the second wave of COVID-19. I expect it to be longer than the first wave and end around week 10 of 2021 (+/- 4 weeks). The end will be similarly abrupt as the ending of the first wave. In the Netherlands, the government follows a flatten-the-curve policy. Not a hard containment policy like in East Asia and the Pacific.
The first newspaper to pick the story up is FD. Next follows an interview in De Telegraaf, the most read Dutch newspaper, provoking extensive online discussions. Someone posted an English translation of it. Also, RTL News (NL) had an item (@2m10s) about it as well. It’s clear that COVID-19, hay fever, and multi-cycle pandemics are big subjects, as is the riddle of flu-like-seasonality. We identified a key predictor.
Below, the abstract of the paper. My co-authors are Eric van Gorp, professor of virology at Erasmus MC, and Ellen Hoogeveen, internal medicine at Jeroen Bosch Ziekenhuis.
By Martijn Hoogeveen (corresponding author), Eric van Gorp & Ellen Hoogeveen.
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 100K/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/m3, 120 allergenic pollen grains/m3, and solar radiation of 510 J/cm2 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.
Read further: Covid-19 Lab, News, Covid-19, pollen
Founder and CEO of Icecat NV. Investor through iMerge. PhD Multimedia at Delft University of Technology. Former Professor at Open University Netherlands/Technical Sciences & Environment.
Indoor confinement adequately explains flu seasonality does it not?
Thanks an excellent question.
The standard misconception is that flu-season is not overlapping Summer, when people are more outdoors.
The simple answer is therefore: No, being confined indoors is not a good explanation. Flu-season is not absent in "Summer", as is the popular belief, but statistically it starts every year as early as half August, thus in the middle of the Summer in the Northern Hemisphere, when people are still a lot outdoors. The Summer technically ends September 22.
The more complex answer is: In general, the science consensus is that meteorological variables and seasonal behavior don't sufficiently explain flu-like seasonality. Also behavior associated to the weather can't provide satisfactory explanations for the start and end of flu-like seasonality. Below, still a bit more in detail.
You might notice in the 2nd paper that, for this reason, we especially discuss the beginning and end of flu-season. The early start of flu-like season (reproduction numbers structurally >1) is half August (wk 33 +/- 1 week) and it can have average temperatures around 17 oC. This is in NL (and many Northern Hemisphere countries) the hottest, most sunny month, on average. People are then still going out, enjoying terraces, having a good time, sometimes on holidays.
By contrast the ending of flu-like season (reproduction number structurally < 1) around wk 10 (+/- 5 weeks) typically shows far lower temperatures, sometimes as low as 0 oC. People can be out on nice days, but are still a lot of time inside when it's less sunny. Although, in general, we all can agree that behavior - hygiene, social distancing - is important to contain an epidemic/pandemic, seasonal behavior doesn't fit the pattern of flu-like seasonality. Especially, the beginning and ending. Some scientists have argued that kids going back to school after Summer is a major factor in the increase of flu-like incidence. But, then it's not explained why the ending of flu-like incidence is still during school periods. Outside the scope of this research, but something we could analyze in a 3rd study: what's the impact of lockdowns on the amplitude (peak) of flu-like incidence. If we specifically look at lockdown policies, we can observe that independent of the phase of Covid-19 (when it started in a country on the Northern Hemisphere), and independent of the degree of social distancing (Sweden virtually no lockdown, Italy/Spain/France hard lockdowns, Holland: intermediate lockdown), the endings of the covid-19 cycles all seem to be in sync. This doesn't imply that lockdowns are not effective: given seasonality, they are especially effective during flu-like season. And, TW and NZ show that a lockdown can also be instrumental in eliminating the covid-19 epidemic, which is probably easier for a relatively isolated island nation then for us. And, we would hypothesize that the lockdowns are helpful in "flattening the curve", independent of seasonality.
Your email address will not be published. Required fields are marked *