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    Associations of meteorological factors and ambient air pollutants with mumps incidence in Ningxia Hui Autonomous Region: boosted regression tree model analysis by Xianglong LIU, Linlin CHEN, Jiayu YU, Rui GONG, Yaogeng CHEN, Yu ZHAO

    Published 2024-10-01
    “…MethodsData on the daily number of mumps cases in Ningxia Hui Autonomous Region from 2015 to 2019 were obtained from the Notifiable Infectious Disease Surveillance System of the region, and data on meteorological factors (daily mean temperature/relative humidity/atmospheric pressure/wind speed) and air pollutants (daily concentrations of ozone, [O3], sulfur dioxide [SO2], carbon monoxide [CO], nitrogen dioxide [NO2], and particulate matter with aerodynamic diameter < 2.5/10 mum [PM2.5/PM10]) for the same period were obtained from the National Meteorological Science Data Center. A boosted regression tree (BRT) model was used to determine the optimal lag of meteorological factors and air pollutants that best explained mumps cases and to evaluate the associations of meteorological factors and air pollutants with the daily number of mumps cases in the region. …”
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