Daily average, maximum moving average and 8-hr maximum ozone, nitrogen dioxide, and PM2.5 concentrations, and meteorologic data (temperature and humidity) were obtained for all (505) days of the study period.
We modeled several pollution exposure indices (8-hr maximum moving average, 24-hr average, 24-hr maximum average, accumulated days).
Only days with at least 12 hourly measurements were used to calculate daily averages of air pollutants (PM10 and O3) as well as daily 8-hour maximum moving average for O3.
Hourly concentrations were aggregated into daily averages for NO2 and maximum 8-hr moving averages for O3.
Time trends were controlled by matching on weekday, month and year, and meteorology was controlled with cubic terms for the three-day moving average of: maximum temperature, maximum temperature interacted with season, and dew point.
However, although the absolute disagreement is a function of abundance, the moving average smoother indicates that average disagreement or bias between technical replicates is consistently linear (rather than nonlinear) over the abundance range.
The mean weekly autochthonous DF incidence only increased 4.6-fold (to a mean autochthonous DF incidence of 11.09 relative to an overall mean autochthonous DF incidence of 2.42) at a 3-week lagged moving average maximum temperature of ≥32 °C if the 4-week lagged moving average minimum temperature was ≥24 °C and the sum of imported DF cases in the previous 2 weeks was >0.
There was no significant difference between the mean values of the 3-week lagged moving average maximum temperature between the two regions (t=0.95, P=0.343).
Exposures to CO were based on the 8-hours moving average maximum value.
Models using specifications of the autoregressive and moving average parameters were compared using the absolute percentage error.
First, we calculated a moving average of conservation values across 500-bp windows and identified a global maximum value (peak center) in the block.
