|
|
|
| Spatio-temporal clustering analysis of pulmonary tuberculosis in Ningbo City from 2015 to 2020 |
| CHEN Yunpeng1, NI Mindong2, HE Tianfeng3, ZHANG Xinyun2, CHE Yang3, SANG Guoxin3
|
1. School of Medicine, Ningbo University, Ningbo, Zhejiang 315211, China;
2. Ningbo Urban Planning Design Institute, Ningbo, Zhejiang 315042, China;
3. Ningbo Center for Disease Control and Prevention, Ningbo, Zhejiang 315010, China |
|
|
|
|
Abstract Objective To investigate the spatio-temporal distribution characteristics of pulmonary tuberculosis in Ningbo City from 2015 to 2020, so as to provide insights into tuberculosis control. Methods The data of pulmonary tuberculosis cases in Ningbo City from 2015 to 2020 were collected from Tuberculosis Management Information System of China Disease Control and Prevention Information System, and were linked with the geographic information database of Ningbo Planning Design and Research Institute. The software SaTScan version 10.3 was employed for monthly spatio-temporal scanning and cluster analysis of reported pulmonary tuberculosis cases, populations, longitude and latitude in 153 townships of Ningbo City from 2015 to 2020. Results There were one class Ⅰ cluster and two class Ⅱ clusters of pulmonary tuberculosis cases in Ningbo City from 2015 to 2020, and the class Ⅰ cluster was centered in Song'ao Township and covered 37 townships, with aggregation time from January 1, 2015 to December 31, 2017, while class Ⅱ clusters were covered 38 tounships which were centered in Sanqishi Township of Yuyao County, and one township in Hangzhou Bay New Town. The aggregation time was from January to June in 2015 and 2016, from March to August between 2017 and 2019 and between May and October, 2020. The overall reported incidence of pulmonary tuberculosis appeared a tendency towards a decline in each township of Ningbo City from 2015 to 2020; however, the incidence of pulmonary tuberculosis was more than 80 per 100 thousand in Fuming Township of Yinzhou District and Juexi Township of Xiangshan County in 2020. Conclusions There were significant spatio-temporal clustering characteristics of pulmonary tuberculosis incidence at a township level in Ningbo City from 2015 to 2020, and the clusters were mainly concentrated in the central and eastern Ningbo City. The reported incidence of pulmonary tuberculosis is high in Fuming Township of Yinzhou District and Juexi Township of Xiangshan County, where targeted regional tuberculosis control strategies should be implemented.
|
|
Received: 09 November 2021
Revised: 08 January 2022
Published: 13 April 2022
|
|
|
|
|
|
[1] 张民,刘长超,杨朝华. 2016年上海市浦东新区肺结核发病空间聚集性扫描分析[J]. 公共卫生与预防医学,2018,29(6):100-104.
ZHANG M,LIU C C,YANG C H.The spatial scan analysis of pulmonary tuberculosis in Pudong New District,Shanghai(2016)[J].J Public Health Prev Med,2018,29(6):100-104.
[2] 李婷,何金戈,杨长虹,等. 基于空间聚集性与时空扫描的肺结核流行特征分析[J]. 中国防痨杂志,2016,38(12):1032-1040.
LI T,HE J G,YANG C H,et al.A clustering study on pulmonary tuberculosis based on pure spatial clustering and spatiotemporal scanning[J]. Chin J Antituberc,2016,38(12):1032-1040.
[3] 单志力,李君,逄颖鑫,等. 温州市耐多药/耐利福平肺结核空间聚集性分析[J]. 预防医学,2019,31(3):242-245.
SHAN Z L,LI J,PANG Y X,et al.Analysis on the spatial clustering of multidrug resistant or rifampicin resistant pulmonary tuberculosis in Wenzhou[J]. Prev Med,2019,31(3):242-245.
[4] 王建美,张钰,秦楠,等. 2015—2017年浙江省登记涂阳肺结核患者的空间分析[J].中国防痨杂志,2018,40(10):1089-1094.
WANG J M,ZHANG Y,QIN N,et al.Spatial analysis on smear-positive pulmonary tuberculosis in Zhejiang province between year 2015 and 2017[J]. Chin J Antituberc,2018,40(10):1089-1094.
[5] 中华人民共和国国家卫生和计划生育委员会.结核病分类:WS 196—2017[S].北京:中国标准出版社,2017.
National Health and Family Planning Commission of the People's Republic of China.Classification of tuberculosis:WS 196-2017 [S]. Beijing:Standards Press of China,2017.
[6] KULLDORFF M.A spatial scan statistic[J].Commun Stat Theory Methods,1997,26(6):1481-1496.
[7] CHEN J,YANG S T,LI H W,et al. Research on geographical environment unit division based on the method of natural breaks (Jenks)[J].Int Arch Photogramm Remote Sens Spatial Inf Sci,2013,XL-4/W3:47-50.
[8] 张正斌,鲁周琴,谢红,等. 结核病季节性分布特征及影响因素[J].中华流行病学杂志,2016,37(8):1183-1186.
ZHANG Z B,LU Z Q,XIE H,et al.Seasonal variation and related influencing factors for tuberculosis[J]. Chin J Epidemiol,2016,37(8):1183-1186.
[9] 周娓,王皓杰. 江北区活动性肺结核流行特征分析[J]. 预防医学,2020,32(3):298-300.
ZHOU W,WANG H J.Epidemiological characteristics of active tuberculosis in Jiangbei District[J].Prev Med,2020,32(3):298-300.
[10] 丁哲渊,吴昊澄,吴晨,等. 浙江省新型冠状病毒肺炎疫情应急响应期间其他法定传染病监测分析[J]. 疾病监测,2020,35(8):746-752.
DING Z Y,WU H C,WU C,et al.Surveillance for notifiable communicable diseases in the context of emergency response to COVID-19 in Zhejiang[J]. Dis Surveill,2020,35(8):746-752.
[11] 杨天池,洪航,陈同,等. 人口流入城市肺结核流行特征、时空分布及其社会影响因素分析[J]. 中国人兽共患病学报,2017,33(9):800-804.
YANG T C,HONG H,CHEN T,et al.Epidemiological characteristics and temporal-spatial clustering of pulmonary tuberculosis and its social influence factors in immigration city[J]. Chin J Zoonoses,2017,33(9):800-804.
[12] 李新旭,周晓农,王黎霞.结核病空间分布特征及影响因素研究进展[J]. 中国公共卫生,2014,30(1):102-106.
LI X X,ZHOU X N,WANG L X.Research progress on spatial distribution characteristics and influencing factors of tuberculosis[J].Chin J Public Health,2014,30(1):102-106. |
|
|
|
