ObjectiveTo analyze the epidemiological characteristics and etiology of clustered outbreaks of hand， foot， and mouth disease （HFMD） in Pudong New Area， Shanghai from 2017 to 2022， and to provide a scientific basis for the prevention and control of HFMD in the area. MethodsThe data related to HFMD clustered outbreaks from 2017 to 2022 were obtained from the Pudong New Area HFMD outbreak database. Descriptive analysis was conducted to explore the outbreak scope， seasonal characteristics， distribution of occurrence settings， and etiological composition. ResultsFrom 2017 to 2022， Pudong New Area reported a total of 2 547 HFMD clusters， involving 8 884 cases， with an average of 3.49 cases per event. The majority of events （78.52%） had between 2 and 4 cases. The peak reporting periods for clustered HFMD from 2017 to 2019 and in 2021 were during the summer （May‒July） and autumn （September‒November）. The seasonal pattern was less distinct in 2020 and 2022， likely due to the impact of the COVID-19 pandemic. The majority of clustered outbreaks occurred in childcare facilities （44.64%）， followed by households/neighborhood committees （44.21%）， with schools accounting for a smaller proportion （12.39%）. The etiology revealed the coexistence of multiple enterovirus genotypes， with a positive detection rate of 60.46%， and CoxA6 being the dominant strain. ConclusionHFMD clustered outbreaks in Pudong New Area show fluctuating trends， with significant yearly differences in the number of incidents. The predominant seasons for outbreaks are summer and autumn， with CoxA6 identified as the dominant strain. The implementation of prevention and control measures for COVID-19 significantly reduced the occurrence of HFMD outbreaks. Continuous monitoring and focus on large-scale clustered outbreaks in key institutions are essential for the future.

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 (PM_2.5, 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 (PM_2.5, 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 (PM_2.5, PM₁₀) concentration increased the number of confirmed cases of influenza in Pudong New Area.