Spatial-temporal analysis of tuberculosis in Chongqing, China 2011-2018
Abstract Background China is a country with a high burden of pulmonary tuberculosis (PTB). Chongqing is in the southwest of China, where the notification rate of PTB ranks tenth in China. This study analyzed the temporal and spatial distribution characteristics of PTB in Chongqing in order to improv...
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| Format: | Article |
| Language: | English |
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BMC
2020-07-01
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| Series: | BMC Infectious Diseases |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12879-020-05249-3 |
| _version_ | 1828543577275236352 |
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| author | Ya Yu Bo Wu Chengguo Wu Qingya Wang Daiyu Hu Wei Chen |
| author_facet | Ya Yu Bo Wu Chengguo Wu Qingya Wang Daiyu Hu Wei Chen |
| author_sort | Ya Yu |
| collection | DOAJ |
| description | Abstract Background China is a country with a high burden of pulmonary tuberculosis (PTB). Chongqing is in the southwest of China, where the notification rate of PTB ranks tenth in China. This study analyzed the temporal and spatial distribution characteristics of PTB in Chongqing in order to improve TB control measures. Methods A spatial-temporal analysis has been performed based on the data of PTB from 2011 to 2018, which was extracted from the National Surveillance System. The effect of TB control was measured by variation trend of pathogenic positive PTB notification rate and total TB notification rate. Time series, spatial autonomic correlation and spatial-temporal scanning methods were used to identify the temporal trends and spatial patterns at county level. Results A total of 188,528 cases were included in this study. A downward trend was observed in PTB between 2011 and 2018 in Chongqing. The peak of PTB notification occurred in late winter and early spring annually. By calculating the value of Global Moran’s I and Local Getis’s G i * , we found that PTB was spatially clustered and some significant hot spots were detected in the southeast and northeast of Chongqing. One most likely cluster and three secondary clusters were identified by Kulldorff’s scan spatial-temporal Statistic. Conclusions This study identified seasonal patterns and spatial-temporal clusters of PTB cases in Chongqing. Priorities should be given to southeast and northeast of Chongqing for better TB control. |
| first_indexed | 2024-12-12T02:16:29Z |
| format | Article |
| id | doaj.art-0dc5819c487b4779823d3bae76182726 |
| institution | Directory Open Access Journal |
| issn | 1471-2334 |
| language | English |
| last_indexed | 2024-12-12T02:16:29Z |
| publishDate | 2020-07-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Infectious Diseases |
| spelling | doaj.art-0dc5819c487b4779823d3bae761827262022-12-22T00:41:47ZengBMCBMC Infectious Diseases1471-23342020-07-0120111210.1186/s12879-020-05249-3Spatial-temporal analysis of tuberculosis in Chongqing, China 2011-2018Ya Yu0Bo Wu1Chengguo Wu2Qingya Wang3Daiyu Hu4Wei Chen5Chongqing Institute of Tuberculosis Control and PreventionChongqing Institute of Tuberculosis Control and PreventionChongqing Institute of Tuberculosis Control and PreventionChongqing Institute of Tuberculosis Control and PreventionChongqing Institute of Tuberculosis Control and PreventionNational Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and PreventionAbstract Background China is a country with a high burden of pulmonary tuberculosis (PTB). Chongqing is in the southwest of China, where the notification rate of PTB ranks tenth in China. This study analyzed the temporal and spatial distribution characteristics of PTB in Chongqing in order to improve TB control measures. Methods A spatial-temporal analysis has been performed based on the data of PTB from 2011 to 2018, which was extracted from the National Surveillance System. The effect of TB control was measured by variation trend of pathogenic positive PTB notification rate and total TB notification rate. Time series, spatial autonomic correlation and spatial-temporal scanning methods were used to identify the temporal trends and spatial patterns at county level. Results A total of 188,528 cases were included in this study. A downward trend was observed in PTB between 2011 and 2018 in Chongqing. The peak of PTB notification occurred in late winter and early spring annually. By calculating the value of Global Moran’s I and Local Getis’s G i * , we found that PTB was spatially clustered and some significant hot spots were detected in the southeast and northeast of Chongqing. One most likely cluster and three secondary clusters were identified by Kulldorff’s scan spatial-temporal Statistic. Conclusions This study identified seasonal patterns and spatial-temporal clusters of PTB cases in Chongqing. Priorities should be given to southeast and northeast of Chongqing for better TB control.http://link.springer.com/article/10.1186/s12879-020-05249-3EpidemiologySpatial analysisTuberculosis |
| spellingShingle | Ya Yu Bo Wu Chengguo Wu Qingya Wang Daiyu Hu Wei Chen Spatial-temporal analysis of tuberculosis in Chongqing, China 2011-2018 BMC Infectious Diseases Epidemiology Spatial analysis Tuberculosis |
| title | Spatial-temporal analysis of tuberculosis in Chongqing, China 2011-2018 |
| title_full | Spatial-temporal analysis of tuberculosis in Chongqing, China 2011-2018 |
| title_fullStr | Spatial-temporal analysis of tuberculosis in Chongqing, China 2011-2018 |
| title_full_unstemmed | Spatial-temporal analysis of tuberculosis in Chongqing, China 2011-2018 |
| title_short | Spatial-temporal analysis of tuberculosis in Chongqing, China 2011-2018 |
| title_sort | spatial temporal analysis of tuberculosis in chongqing china 2011 2018 |
| topic | Epidemiology Spatial analysis Tuberculosis |
| url | http://link.springer.com/article/10.1186/s12879-020-05249-3 |
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