RESUMEN
Objective To understand the correlation between atmospheric particulate matter and confirmed cases of influenza in Pudong New Area, Shanghai, and to provide a basis for formulating relevant control measures. Methods The meteorological factors (average temperature, relative humidity, and atmospheric pressure), atmospheric pollutants (PM2.5, PM10, SO2, NO2, CO, and O3) and confirmed cases of influenza of different ages and genders from January 1, 2014 to December 31, 2018 were collected. Data was fitted to a generalized additive model of Poisson distribution to assess the correlation between atmospheric particulate matter (PM2.5, PM10) and the number of confirmed cases of influenza. Results There was a correlation between atmospheric particulate matter and the number of confirmed cases of influenza in Pudong New Area. For each increase of 10 μg/m3 in the concentration of the two types of particulate matter, the confirmed cases increased by 0.638% (95%CI: 0.413%~0.864%), and 0.520% (95%CI: 0.324%~0.715%), respectively, when the lag was 0-7d (lag07). People of different ages and genders were affected by atmospheric particulate matter differently. After incorporating the effects of SO2, NO2, CO, and O3 in the multi-pollutant model, the effect of atmospheric particulate matter on the number of influenza cases had changed. Conclusion The increase of atmospheric particulate matter (PM2.5, PM10) concentration increased the number of confirmed cases of influenza in Pudong New Area.