… to their applicability to ambient air pollution time series, it is … The detection of cyclical
components in urban air pollution, … (SATSA, for sequential approach to time series analysis) was …

… ments of air pollution and … time series data for daily particulates and sulfur dioxide levels
are averages from seven stations and contain no missing values; this is unusual in air pollution …

… We apply our methods to the NMMAPS database which comprises daily time series of air
pollution levels, weather variables and mortality counts. The original study examined data from …

… other pollutants such as particulates.7,16,22 To assess these findings, we launched in 1993
a European collaborative study that would make use of time-series data on air pollution and …

… air pollution is also associated with infectious diseases transmission. For example, worse air
… However, whether ambient air pollutants are associated with increased incidence of COVID-…

… This study used time series analysis to examine the short-term association between exposure
to air pollution and mortality in the city of São Paulo. The robustness of the models used …

… functions of calendar time and weather variables. More specifically, let y t be the … air pollution
counts and let x 1 t , x 2 t , and x 3 t be the daily time series of air pollution, calendar time, …

… interpreting epidemiologic studies on air pollution, particularly the time-series analyses, we
… of exposure error in epidemiologic time-series studiesof air pollution and considered the …

… to particulate air pollution mortality time series studies. A number of other studies also
investigated modeling issues important to particulate air pollution time series studies which were …

… The forecasting of air quality is one of the topics of air quality research today due to urban
air pollution and specifically pollution episodes ie high pollutant concentrations causing …