广西自治区2016～2018年沙门氏菌监测数据的SSM分析
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摘要
目的通过分析广西南宁市和贵港市的食源性和人源鼠伤寒沙门氏菌和肠炎沙门氏菌的监测数据,为科学防控沙门氏菌引起区域性疾病提供参考依据。方法选择2016～2018年南宁市13个监测点和贵港市6个监测点收集的沙门氏菌监测数据,通过构建偏离-份额分析法模型,有效获取鼠伤寒沙门氏菌和肠炎沙门氏菌的区域增长份额、沙门氏菌构成偏离份额和区位偏离份额的数值。结果南宁市鼠伤寒沙门氏菌的总偏离量为2.47株,贵港市肠炎沙门氏菌的总偏离量为6.96株;南宁市鼠伤寒沙门氏菌的区位偏离份额为-6.54株,贵港市肠炎沙门氏菌的区位偏离份额为6.88株。结论在2016～2018年间,南宁市鼠伤寒沙门氏菌、贵港市肠炎沙门氏菌增长迅速,均超过广西沙门氏菌的增长速度;南宁市鼠伤寒沙门氏菌和贵港市肠炎沙门氏菌具备种类优势。
Objective The monitoring data of foodborne and human Salmonella typhimurium and Salmonella enteritidis in Nanning City and Guigang City of Guangxi province were analyzed to provide reference for the scientific prevention and control of regional diseases caused by Salmonella.Methods Salmonella monitoring data collected from 13 monitoring sites in Nanning City and 6 monitoring sites in Guigang City from 2016 to 2018 were selected.The shift-share analysis model was constructed to effectively obtain the regional growth share of Salmonella typhimurium and Salmonella enteritidis,and also the value of the composition deviation share and the location deviation share of Salmonella.Results The total deviation of Salmonella typhimurium in Nanning were 2.47 strains and those of Salmonella enteritidis in Guigang were 6.96 strains.The location deviation share of Salmonella typhimurium in Nanning were-6.54 strains and those of Salmonella enteritidis in Guigang were 6.88 strains.Conclusion Salmonella typhimurium in Nanning and Salmonella enteritidis in Guigang had been increasing rapidly from 2016 to 2018,both exceeding the growth rate of Salmonella in Guangxi.Salmonella typhimurium in Nanning and Salmonella enteritidis in Guigang had species advantages.
Objective The monitoring data of foodborne and human Salmonella typhimurium and Salmonella enteritidis in Nanning City and Guigang City of Guangxi province were analyzed to provide reference for the scientific prevention and control of regional diseases caused by Salmonella.Methods Salmonella monitoring data collected from 13 monitoring sites in Nanning City and 6 monitoring sites in Guigang City from 2016 to 2018 were selected.The shift-share analysis model was constructed to effectively obtain the regional growth share of Salmonella typhimurium and Salmonella enteritidis,and also the value of the composition deviation share and the location deviation share of Salmonella.Results The total deviation of Salmonella typhimurium in Nanning were 2.47 strains and those of Salmonella enteritidis in Guigang were 6.96 strains.The location deviation share of Salmonella typhimurium in Nanning were-6.54 strains and those of Salmonella enteritidis in Guigang were 6.88 strains.Conclusion Salmonella typhimurium in Nanning and Salmonella enteritidis in Guigang had been increasing rapidly from 2016 to 2018,both exceeding the growth rate of Salmonella in Guangxi.Salmonella typhimurium in Nanning and Salmonella enteritidis in Guigang had species advantages.
引文
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[2]Mayor M,López AJ.Spatial shift-share analysis versus spatial filtering:an application to Spanish employment data[J].Empirical Economics,2008,34(1):123-142.
[3]Otsuka A.Regional energy demand in Japan:dynamic shift-share analysis[J].Energy,Sustainability and Society,2016,6(1):1-10.
[4]Antczak E,Lewandowska-Gwarda K.Analysis of Emigration in Europe Using the Spatial Dynamic ShiftShare Method[J].Folia Oeconomica Stetinensia,2015,15(2):7-26.
[5]Twardowska K,Jewczak M.The Issues of HealthcareAssociated Infections-The Economic and Social Perspective[J].Ekonomia i Zarzadzanie,2017,9(2):21-31.
[6]蓝兰,吕素玲,李秀桂.沙门氏菌检测方法研究综述[J].广西畜牧兽医,2018,34(6):325-328.