M Lin1, Z Z Cui2, D W Lin1, D B Liang1, M Y Huang1, H B Su1, X Y Tang3. 1. Institute of Tuberculosis Control and Prevention, Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning 530028, China. 2. Institute of Tuberculosis Control and Prevention, Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning 530028, China;Epidemiology Unit, Faculty of Medicine, Prince of Songkhla University, Songkhla 90112, Thailand. 3. Department of Epidemiology and Biostatistics, School of Health Public, Guangxi Medical University, Nanning 530021, China.
Abstract
Objective: To study the spatial and temporal mode of infectious TB transmission in Guangxi Zhuang Autonomous Region (Guangxi). Methods: Data related to infectious TB case (Include smear and/or culture positive patients) in Guangxi were collected from the National Notifiable Disease Reported System (NNDRS) from 2010 to 2015. Spatial-temporal analysis and prediction were performed by SaTScan 7.0.2, GeoDa 1.8.12, R program v 3.3.1 and SPSS 19.0 software, using the time series model, Moran's I global and local spatial autocorrelation (Empirical Bayes adjustment). Kulldorff 's space-time scan statistics displayed by R software was used to identify the temporal and spatial trend of TB. Results: The total number of infectious TB cases, collected from NNDRS was 76 151, and showing a decreasing trend on annual incidence (value of Chi-square for Linear trend=3 464.53, P-value=0.000). The forecast value of TB cases in 2016 was 7 764 (4 971-10 557), with peak in March, analyzed through the Winters'multiplicative model. The Moran's I global Statistics was greater than 0 (0.257-0.390). TB cluster seemed to have been existed for several years. The most significant hot spots seemed to be mainly located in the central and western parts of Guangxi, shown by local spatial autocorrelation statistics and the result from space-time scanning.Counties or districts that located in the east parts of Guangxi presented the low-low relation (significant cold spots). The situation of infectious TB seemed migratory. Conclusions: Our data showed an annual decreasing trend of incidence on infectious TB with temporal concentration in spring and summer. Main clusters (hot spots) were found to be located in the central and western parts of Guangxi. Hopefully, our findings can provide clues to uncover the real mode of TB transmission at the molecular-biological level.
Objective: To study the spatial and temporal mode of infectious TB transmission in Guangxi Zhuang Autonomous Region (Guangxi). Methods: Data related to infectious TB case (Include smear and/or culture positive patients) in Guangxi were collected from the National Notifiable Disease Reported System (NNDRS) from 2010 to 2015. Spatial-temporal analysis and prediction were performed by SaTScan 7.0.2, GeoDa 1.8.12, R program v 3.3.1 and SPSS 19.0 software, using the time series model, Moran's I global and local spatial autocorrelation (Empirical Bayes adjustment). Kulldorff 's space-time scan statistics displayed by R software was used to identify the temporal and spatial trend of TB. Results: The total number of infectious TB cases, collected from NNDRS was 76 151, and showing a decreasing trend on annual incidence (value of Chi-square for Linear trend=3 464.53, P-value=0.000). The forecast value of TB cases in 2016 was 7 764 (4 971-10 557), with peak in March, analyzed through the Winters'multiplicative model. The Moran's I global Statistics was greater than 0 (0.257-0.390). TB cluster seemed to have been existed for several years. The most significant hot spots seemed to be mainly located in the central and western parts of Guangxi, shown by local spatial autocorrelation statistics and the result from space-time scanning.Counties or districts that located in the east parts of Guangxi presented the low-low relation (significant cold spots). The situation of infectious TB seemed migratory. Conclusions: Our data showed an annual decreasing trend of incidence on infectious TB with temporal concentration in spring and summer. Main clusters (hot spots) were found to be located in the central and western parts of Guangxi. Hopefully, our findings can provide clues to uncover the real mode of TB transmission at the molecular-biological level.
Entities:
Keywords:
Epidemic characteristics; Infectious tuberculosis; Spatial and temporal
Authors: Zhezhe Cui; Dingwen Lin; Virasakdi Chongsuvivatwong; Edward A Graviss; Angkana Chaiprasert; Prasit Palittapongarnpim; Mei Lin; Jing Ou; Jinming Zhao Journal: Int J Environ Res Public Health Date: 2019-05-27 Impact factor: 3.390