Objective To conduct a quality analysis of the surveillance data from 2005 to 2017 for exploring effective measures to improve the plague surveillance and report network in Shanxi province, China. Methods Network report data including the information of 12 plague monitoring sites, plague serological test result, plague host animal density, and surveys of rat body flea and rat nest flea were collected and collated, and the network reporting rate was calculated. SPSS 19.0 software was used to conduct χ2 test and the data analysis. Results The reporting rate of plague surveillance site information network reached 100% after 2007. The reporting rate of serological test result network was 27.34% in 2005, and reached 100% after 2015. The reporting rates of plague host animal density surveillance network in 2005, 2006, 2008, and 2014 ranged from 67.69% to 97.90%, and those in the remaining years were 100%. The reporting rate of Spermophilus dauricus body flea surveillance network was 43.63% in 2005, maintained at a relatively high level from 2006 to 2013, and reached 100% from 2014 to 2017. The reporting rate of Meriones meridianus body flea surveillance network was 15.38% in 2005, and reached 100% from 2016 to 2017. The reporting rates of S. dauricus and M. meridianus nest flea surveillance networks ranged from 33.33% to 80.28% in 2005-2006, and reached 100% in the remaining years except 2012. Conclusion From 2005 to 2017, the reporting rate of plague surveillance data network in Shanxi province showed an increasing trend year by year, and finally reached 100%. However, underreporting, re-reporting, and misreporting were found in some surveillance sites, and it is still necessary to continue to strengthen training and supervision to further improve the quality of network report data and provide scientific evidence for the prevention and control of plague in Shanxi province.
YAN Chang-fu
. A data quality analysis of the plague surveillance and report network in Shanxi province, China, from 2005 to 2017[J]. Chinese Journal of Vector Biology and Control, 2019
, 30(5)
: 578
-581
.
DOI: 10.11853/j.issn.1003.8280.2019.05.024
[1] 唐新元,崔百忠,王祖郧,等. 青海省鼠疫防治管理信息系统运行现状[J]. 中国地方病学杂志,2008,27(5):576-577. DOI:10.3760/cma.j.issn.1000-4955.2008.05.039.
[2] 姚晓恒,周晓磊,鞠成,等. 全国2005-2012年鼠疫疫情数据网报率结果分析[J]. 中国地方病防治杂志,2013,28(4):271-273.
[3] 王晓宏. 会宁县鼠疫防治网络信息运行的现状[J]. 中国地方病防治杂志,2015,30(3):204.
[4] 高宝萍,杜国义,张彩虹,等. 河北省鼠疫防治管理信息系统运行现状分析[J]. 中国媒介生物学及控制杂志,2014,25(6):555-557. DOI:10.11853/j.issn.1003.4692.2014.06.018.
[5] 田涛,张涛,卢世堂. 2005-2013年宁夏鼠疫监测数据网报率分析[J]. 疾病预防控制通报,2015,30(3):23-25. DOI:10.13215/j.cnki.jbyfkztb.1408003.
[6] 王鼎盛,张宏,苗克军,等. 甘肃省鼠疫防治管理信息系统运行现状分析[J]. 中国地方病防治杂志,2009,24(4):287-288.
[7] 姚晓恒,申晶,王卓,等. 2011年全国鼠疫网络直报结果分析[J]. 中国地方病防治杂志,2012,27(5):345-348.
[8] Faleye OA. Plague and trade in Lagos,1924-1931[J]. Int J Marit Hist,2018,30(2):287-301. DOI:10.1177/0843871418765723.
[9] 高子厚,杨智明,洪梅,等. 云南省鼠疫防治管理信息系统应用现状及分析[J]. 地方病通报,2008,23(1):56-57,59. DOI:10.3969/j.issn.1000-3711.2008.01.017.
[10] 房静,周方孝,张芳,等. 关于鼠疫监测信息管理专业软件开发和应用的思考[J]. 中国地方病防治杂志,2006,21(1):61-62. DOI:10.3969/j.issn.1001-1889.2006.01.029.
[11] 丁敬锋. 关于"互联网+"时代的基层医疗卫生机构传染病探析[J]. 健康前沿,2018,27(6):228. DOI:10.3969/j.issn.9128-6509.2018.06.219.
[12] Laperrière V,Badariotti D,Banos A,et al. Structural validation of an individual-based model for plague epidemics simulation[J]. Ecol Complex,2009,6(2):102-112. DOI:10.1016/j.ecocom.2008.08.001.
[13] 林新勤,周树武,唐咸艳,等. 基于地理信息系统的广西鼠疫预警模型的构建与应用研究[J]. 广西医学,2012,34(2):157-160. DOI:10.3969/j.issn.0253-4304.2012.02.009.
[14] 唐新元,王梅,王虎,等. 地理信息系统在青海省人间鼠疫空间分布中的应用[J]. 中华地方病学杂志,2014,33(5):508-510. DOI:10.3760/cma.j.issn.2095-4255.2014.05.010.
[15] 闫东,张业武,苏雪梅,等. 空间流行病学在我国鼠疫防控研究中的应用进展[J]. 中国媒介生物学及控制杂志,2016,27(2):202-205. DOI:10.11853/j.issn.1003.8280.2016.01.029.
[16] 余向华,张孝和,倪庆翔,等. 鼠传疾病流行病学研究进展[J]. 中国媒介生物学及控制杂志,2015,26(6):634-636. DOI:10.11853/j.issn.1003.4692.2015.06.026.
[17] 杨建国,李胜,田富彰,等. 2011-2015年青海省鼠疫流行病学分析[J]. 中华地方病学杂志,2017,36(6):452. DOI:10.3760/cma.j.issn.2095-4255.2017.06.014.
[18] 张迎泽,武咏梅. 传染病网络直报工作中存在的问题和对策[J]. 特别健康,2018(16):227. DOI:10.3969/j.issn.2095-6851. 2018.16.343.
[19] 刘振才. 加快建立我国鼠疫预警系统[J]. 中国地方病学杂志,2006,25(6):591-592. DOI:10.3760/cma.j.issn.1000-4955.2006. 06.001.
