Fig. 3From: Coronavirus seasonality, respiratory infections and weatherSeasonal coronavirus infections based on the week of infection and daily measures of the average weather for England and Wales between 2012 and 2019. a–f Coronavirus cases per week as a percentage of all cases and mean of weather parameters over the week. Each is lagged by a different number of weeks before the specimen date; a global radiation (kJ/m2/h), b relative humidity (%), c air temperature (°C), d sunshine (hours per day), e dewpoint temperature (°C), f precipitation (mm/hour); g–l Coronavirus cases as a percentage of cases per year and weekly mean of weather parameters separated into periods when the cases were declining (Down—days of year 43–224 and Up—days of year 225–366 and 1–42). g Global radiation (kJ/m2/h), h relative humidity (%), i air temperature (°C), j sunshine (hours per day), k dewpoint temperature (°C), l precipitation (mm/h); m–r Coronavirus case numbers split by quantiles of the weather parameters with a 2-week lag. m Global radiation (kJ/m2/h), n relative humidity (%), o air temperature (°C), p sunshine (hours per day), q dewpoint temperature (°C), r precipitation (mm/h); s–x Coronavirus cases by day of year and weather parameters with a 2-week lag. s Global radiation (kJ/m2/h), t relative humidity (%), u air temperature (°C), v sunshine (hours per day), w dewpoint temperature (°C), x precipitation (mm/h). y–ad Average weather parameters in the previous 28 days were split into ten quantiles based on the weather values. y Global radiation (kJ/m2/h), z relative humidity (%), aa air temperature (°C), ab sunshine (hours per day), ac dewpoint temperature (°C), ad precipitation (mm/h)Back to article page