Jiang Hualin, Sun Xiaolu, Hua Zhongqiu, Liu Haini, Cao Yi, Ren Dan, Qi Xin, Zhang Tianhua, Zhang Shaoru
Health Science Centre, Xi'an Jiaotong University, Xi'an, 710061, China.
Shaanxi Provincial Institute for Tuberculosis Control and Prevention, Xi'an, 710048, China.
Sci Rep. 2022 Apr 27;12(1):6895. doi: 10.1038/s41598-022-10675-1.
Pulmonary tuberculosis (PTB) is a major health issue in Northwest China. Most previous studies on the spatiotemporal patterns of PTB considered all PTB cases as a whole; they did not distinguish notified bacteriologically positive PTB (BP-PTB) and notified bacteriologically negative PTB (BN-PTB). Thus, the spatiotemporal characteristics of notified BP-PTB and BN-PTB are still unclear. A retrospective county-level spatial epidemiological study (2011-2018) was conducted in Shaanxi, Northwest China. In total, 44,894 BP-PTB cases were notified, with an average annual incidence rate of 14.80 per 100,000 persons between 2011 and 2018. Global Moran's I values for notified BP-PTB ranged from 0.19 to 0.49 (P < 0.001). Anselin's local Moran's I analysis showed that the high-high (HH) cluster for notified BP-PTB incidence was mainly located in the southernmost region. The primary spatiotemporal cluster for notified BP-PTB (LLR = 612.52, RR = 1.77, P < 0.001) occurred in the central region of the Guanzhong Plain in 2011. In total, 116,447 BN-PTB cases were notified, with an average annual incidence rate of 38.38 per 100,000 persons between 2011 and 2018. Global Moran's I values for notified BN-PTB ranged from 0.39 to 0.69 (P < 0.001). The HH clusters of notified BN-PTB were mainly located in the north between 2011 and 2014 and in the south after 2015. The primary spatiotemporal cluster for notified BN-PTB (LLR = 1084.59, RR = 1.85, P < 0.001) occurred in the mountainous areas of the southernmost region from 2014 to 2017. Spatiotemporal clustering of BP-PTB and BN-PTB was detected in the poverty-stricken mountainous areas of Shaanxi, Northwest China. Our study provides evidence for intensifying PTB control activities in these geographical clusters.
肺结核(PTB)是中国西北地区的一个主要健康问题。以往大多数关于PTB时空模式的研究将所有PTB病例视为一个整体;它们没有区分报告的细菌学阳性PTB(BP-PTB)和报告的细菌学阴性PTB(BN-PTB)。因此,报告的BP-PTB和BN-PTB的时空特征仍不清楚。在中国西北的陕西省进行了一项回顾性县级空间流行病学研究(2011 - 2018年)。总共报告了44,894例BP-PTB病例,2011年至2018年期间的年均发病率为每10万人14.80例。报告的BP-PTB的全局莫兰指数(Global Moran's I)值范围为0.19至0.49(P < 0.001)。安塞尔林局部莫兰指数(Anselin's local Moran's I)分析表明,报告的BP-PTB发病率的高高(HH)聚类主要位于最南部地区。报告的BP-PTB的主要时空聚类(对数似然比LLR = 612.52,相对风险RR = 1.77,P < 0.001)于2011年出现在关中平原中部地区。总共报告了116,447例BN-PTB病例,2011年至2018年期间的年均发病率为每10万人38.38例。报告的BN-PTB的全局莫兰指数值范围为0.39至0.69(P < 0.001)。报告的BN-PTB的HH聚类在2011年至2014年主要位于北部,2015年之后位于南部。报告的BN-PTB的主要时空聚类(LLR = 1084.59,RR = 1.85,P < 0.001)于2014年至2017年出现在最南部地区的山区。在中国西北陕西省的贫困山区检测到了BP-PTB和BN-PTB的时空聚类。我们的研究为在这些地理聚类中加强PTB控制活动提供了证据。