Atmosphere pressure and COVID-19

Abstract

As of 26 January 2021 146 836 524 coronavirus cases and 3 106 435 coronavirus deaths were officially recorded in 193 countries around the world. In this regard, obtaining new scientific knowledge about the patterns of climate influence on the results of the pandemic is extremely important. The developed original method allows determining the periods when climatic factors have had the greatest impact on human morbidity and mortality and calculating how much a particular parameter of the atmosphere has influenced the infection process and course of illness. The authors have used the methods of pair and multiple correlation to determine the nature and dependence of the morbidity and mortality levels on atmosphere pressure. The authors have carried out a correlation analysis of the dependence between atmosphere pressure and morbidity patterns due to COVID-19 in the Murmansk and Novgorod regions, Moscow, Saint Petersburg, Denmark, Belgium and Ireland. It has been proved that in two weeks period preceding the date of detection of morbidity there are necessarily two points in time at which atmosphere pressure has had the greatest impact on the results of morbidity. The authors have associated these extremes with the moment of infection and appearance of symptoms of morbidity. That allows making assumptions about the duration of the incubation period in different atmosphere conditions. For the first time based on statistical calculations it has been proved that the levels of morbidity and mortality may be related to the meteorological conditions that have been observed for 5–9 weeks before the facts of morbidity. The conducted research have allowed obtaining new scientific knowledge of influence of atmosphere pressure on the morbidity patterns of COVID-19. This creates the conditions for timely scientific forecasting of level of pandemic danger and action planning of an appropriate scale to be have made by the Executive authorities at all level to prevent mass infection of the population and reduce its negative consequences.