Meteorological information represented in this product is daily mean, minimum, maximum air temperature, air humidity, precipitations, wind speed, and other data on the certain meteorological station.
In this study, which was conducted in Montreal, Quebec, Goldberg et al. (2008) found an inverse association between oxygen saturation and maximum air temperature and relative humidity.
The daily data for the period 1980 2014 cover the observations of six variables: minimum air temperature, maximum air temperature, total rainfall, relative humidity, wind speed, and evaporation.
The model is driven by maximum and minimum air temperatures, precipitation, air humidity, and solar radiation data.
These data included precipitation in mm in the preceding 24 h before 0900 hours (local time); average total cloud amount in eighths; maximum air temperature degrees Celsius; averaged relative humidity percentage (from observation made at 0900, 1200 and 1500 hours); and average wind speed in km/h (from observations made at 0900, 1200 and 1500 hours).
As we can see, influenza cases in Maricopa County are correlated with LST at lag 3, mean air temperature at lag 1 and 7, maximum relative humidity at lag 3 and 6, minimum relative humidity at lag 6, and maximum air pressure at lag 0 and 6.
Regressors were average wind speed, speed of fastest gust in a day, mean, minimum and maximum air temperature, and mean, minimum, and maximum relative humidity.
Our results for influenza in Maricopa County showed that influenza cases are correlated with air and land surface temperature, maximum air pressure, and both maximum and minimum relative humidity (Table 3).
During the experiment, the average temperature was 31.5/23.0 °C (day/night), the relative air humidity was 41.2/56.8%% (day/night) and the maximum photosynthetic photon flux density was 1910 µmol m−2 s−1.
