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第45卷第3期
               ·342 ·                            南 京    医 科 大 学 学         报                        2025年3月


                                             表8 戊肝时间序列各分量的协方差和贡献率
                           Table 8 Covariance and contribution rate of each component in the hepatitis E time series

                                     2012-2019                   2012-2020                   2012-2021
               Decomposition               Variance                    Variance                    Variance
                            Covariance                  Covariance                  Covariance
                                       contribution rate(%)        contribution rate(%)        contribution rate(%)
               Time series  216 394.94        -         253 676.45        -         241 598.16        -
               Long⁃term trend  26 489.90   12.24        99 572.74      39.25        93 030.72      38.51
               Seasonal factor  166 431.85  76.91       126 705.07      49.95       122 543.39      50.72
               Error         23 473.20      10.85        27 398.63      10.80        26 024.05      10.77
                                                2012-2022                                 2012-2023
               Decomposition                             Variance                                  Variance
                                   Covariance                                Covariance
                                                     contribution rate(%)                      contribution rate(%)
               Time series         241 955.79               -                245 797.33               -
               Long⁃term trend      94 672.37             39.13              101 597.22             41.99
               Seasonal factor     120 633.09             49.86              116 140.31             48.00
               Error                26 650.34             11.01               28 059.80             11.60

              A                                                 B
                   4 000                                            3 000
                   3 500                                            2 500

                   Time series  3 000                              Long⁃term trend  2 000
                   2 500
                   2 000
                                                                    1 500
                   1 500
                   1 000                                            1 000
                           2012 JAN  2012 MAY  2012 SEP  2013 JAN  2013 MAY  2013 SEP  2014 JAN  2014 MAY  2014 SEP  2015 JAN  2015 MAY  2015 SEP  2016 JAN  2016 MAY  2016 SEP  2017 JAN  2017 MAY  2017 SEP  2018 JAN  2018 MAY  2018 SEP  2019 JAN  2019 MAY  2019 SEP  2020 JAN  2020 MAY  2020 SEP  2021 JAN  2021 MAY  2021 SEP  2022 JAN  2022 MAY  2022 SEP  2023 JAN  2023 MAY  2023 SEP  2012 JAN  2012 MAY  2012 SEP  2013 JAN  2013 MAY  2013 SEP  2014 JAN  2014 MAY  2014 SEP  2015 JAN  2015 MAY



                                         Time                                             Time
              C                                                 D
                    1 000                                           1 000
                                                                     800
                      500                                            600
                   Seasonal factor  0                              Seasonal factor  400

                                                                     200

                     -500                                              0
                                                                    -200
                                                                    -400
                    -1 000
                            1  2  3  4  5  6  7  8  9  10 11 12            1  2  3  4  5  6  7  8  9 10 11 12 13
                                          Month                                           Month
                 A:Time series chart between 2012 and 2023. B:Long⁃term trend chart between 2012 and 2023. C:Seasonal factor chart between 2012 and 2019.
              D:Seasonal factor chart between 2012 and 2023.
                                                   图4 戊肝月发病数的系列图
                                        Figure 4 Series chart of monthly incidence of hepatitis E

                                                                前后肝炎发病趋势的变化规律,为疫情后的肝炎防
              3  讨 论
                                                                控工作提供参考依据和决策思路 。
                                                                                             [12]
                  同时对甲、乙、丙、戊型肝炎进行分析,可以全                              本研究发现,肝炎月发病数时间序列各分量方
              面揭示各种肝炎发病趋势的共同特征和比较疫情                             差贡献率的大小可以反映时间序列图的形态。误
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