Additional file 1 of Coronavirus seasonality, respiratory infections and weather
Creators: name: Nichols, G. L.
name: Gillingham, E. L.
name: Macintyre, H. L.
name: Vardoulakis, S.
name: Hajat, S.
name: Sarran, C. E.
name: Amankwaah, D.
name: Phalkey, R.
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Ecology
subject: 69999 Biological Sciences not elsewhere classified
subject: Cancer
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: 60506 Virology
subject: Computational Biology

description: Additional file 1: FiguresS1a-S1f.Examination of the effect of weather measured on the date of the specimen andin the previous eight weeks, based on cases as a proportion of all thecoronavirus. S1a. Coronavirus and mean air temperature with 0 to8 weeks lag. S1b. Coronavirus and Mean dewpoint temperature with0 to 8 weeks lag. S1c. Coronavirus and mean sunshine hours with 0 to 8weeks lag. S1d. Coronavirus and mean daily precipitation with 0to 8 weeks lag. Figure S1e. Coronavirus and mean relative humiditywith 0 to 8 weeks lag. Figure S1f Coronavirus and mean global radiationwith 0 to 8 weeks lag. FigureS2a. to h. Seasonal coronavirus infections and daily average of globalradiation (kJ/m2/day) for England and Wales between 2012 and 2019 based on theweek of infection with different lag periods. S2a. no lag; S2b. 2-week lag; S2c.3-week lag; S2d. 4-week lag; S2e. 5-week lag; S2f. 6-week lag; S2g. 8-week lag;S2h. Global radiation by day of year. FigureS3.Coronavirus cases in England and Wales 2012-2019 (n=12,374) as a percentage ofall cases and weather parameters. S3a., S3c., S3e. coronavirus cases in the‘Down’ period and S3b., S3d., S3f. (Down – day of year 43-224 and Up – day ofyear 225-366 and 1-42) against two weather parameters. S3a, S3b. average airtemperature and global radiation over the previous 4 weeks, S3c., S3d., averageair temperature and relative humidity over the previous 4 weeks, S3e., S3f. Average air temperature and average sunshine hours over the previous 4 weeks; S3g.,S3h., S3i., S3j. Distribution of coronavirus cases by day of year and weatherparameters with a two week lag, S3g. average air temperature (oC), S3h. globalradiation (kJ/m2), S3i. relative humidity, S3j. sunshine hours; S3k. Weeklycoronavirus cases as a proportion of annual cases and global radiation. FigureS4. a.-f.Individual seasonal coronavirus infections based on cases and dailymeasures of two weather parameters for England and Wales between 2012 and 2019,averaged over the previous 28 days. S4a.sunshine (hours per day)/air temperature (oC), S4b. sunshine(hours per day)/relative humidity (%), S4c. sunshine (hours per day)/globalradiation (kJ/m2/day), S4d. air temperature (oC)/relativehumidity (%), S4e. relative humidity (%)/global radiation (kJ/m2/day),S4f. air temperature (oC)/global radiation (kJ/m2/day). FigureS5. Monthlytraffic for the global data series over a seven-year period. Regions separatedinto Asia-Pacific, Europe and North America. From https://blog.aci.aero/airport-markets-and-seasonal-variations/