Selected article for: "age group and season group"

Author: Jianfeng Li; Linyuan Zhang; Zhihua Ren; Caihong Xing; Peihuan Qiao; Bing Chang
Title: Meteorological factors correlate with transmission of 2019-nCoV: Proof of incidence of novel coronavirus pneumonia in Hubei Province, China
  • Document date: 2020_4_3
  • ID: lmjaldcs_4
    Snippet: In this study, the daily temperature range (DTR) was used as the main predictor, and other control variables included day of the week, RH and PM10. These variables are included in the model as linear terms. In the secondary analysis, the same model was used, but all variables were stratified by season, age group, seasonal pattern and socioeconomic status (Carreras et al., 2015) . In China, another study used GAM and controlled long-term trends. I.....
    Document: In this study, the daily temperature range (DTR) was used as the main predictor, and other control variables included day of the week, RH and PM10. These variables are included in the model as linear terms. In the secondary analysis, the same model was used, but all variables were stratified by season, age group, seasonal pattern and socioeconomic status (Carreras et al., 2015) . In China, another study used GAM and controlled long-term trends. In addition, the average temperature was fitted into the model to explore the logarithmic risk of daily hospitalization (Bai YL, et al.2019 ).

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