Spatiotemporally Comparative Analysis of HIV, Pulmonary Tuberculosis, HIV-Pulmonary Tuberculosis Coinfection in Jiangsu Province, China
Zhuchao Wu,1,* Gengfeng Fu,2,* Qin Wen,1,* Zheyue Wang,1 Lin-en Shi,2 Beibei Qiu,1 Jianming Wang1,3,4 1Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, People’s Republic of China; 2Department of STI an...
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| Format: | Article |
| Language: | English |
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Dove Medical Press
2023-06-01
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| Series: | Infection and Drug Resistance |
| Subjects: | |
| Online Access: | https://www.dovepress.com/spatiotemporally-comparative-analysis-of-hiv-pulmonary-tuberculosis-hi-peer-reviewed-fulltext-article-IDR |
| _version_ | 1797789440714735616 |
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| author | Wu Z Fu G Wen Q Wang Z Shi LE Qiu B Wang J |
| author_facet | Wu Z Fu G Wen Q Wang Z Shi LE Qiu B Wang J |
| author_sort | Wu Z |
| collection | DOAJ |
| description | Zhuchao Wu,1,* Gengfeng Fu,2,* Qin Wen,1,* Zheyue Wang,1 Lin-en Shi,2 Beibei Qiu,1 Jianming Wang1,3,4 1Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, People’s Republic of China; 2Department of STI and HIV Control and Prevention, Center for Disease Control and Prevention of Jiangsu Province, Nanjing, 210009, People’s Republic of China; 3Department of Epidemiology, Gusu School, Nanjing Medical University, Nanjing, 211166, People’s Republic of China; 4Changzhou Medical Center, Nanjing Medical University, Nanjing, 211166, People’s Republic of China*These authors contributed equally to this workCorrespondence: Jianming Wang, Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, People’s Republic of China, Tel +86-25-86868414, Email jmwang@njmu.edu.cnPurpose: Pulmonary tuberculosis (PTB) is a severe chronic communicable disease that causes a heavy disease burden in China. Human Immunodeficiency Virus (HIV) and PTB coinfection dramatically increases the risk of death. This study analyzes the spatiotemporal dynamics of HIV, PTB and HIV-PTB coinfection in Jiangsu Province, China, and explores the impact of socioeconomic determinants.Patients and Methods: The data on all notified HIV, PTB and HIV-PTB coinfection cases were extracted from Jiangsu Provincial Center for Disease Control and Prevention. We applied the seasonal index to identify high-risk periods of the disease. Time trend, spatial autocorrelation and SaTScan were used to analyze temporal trends, hotspots and spatiotemporal clusters of diseases. The Bayesian space-time model was conducted to examine the socioeconomic determinants.Results: The case notification rate (CNR) of PTB decreased from 2011 to 2019 in Jiangsu Province, but the CNR of HIV and HIV-PTB coinfection had an upward trend. The seasonal index of PTB was the highest in March, and its hotspots were mainly distributed in the central and northern parts, such as Xuzhou, Suqian, Lianyungang and Taizhou. HIV had the highest seasonal index in July and HIV-PTB coinfection had the highest seasonal index in June, with their hotspots mainly distributed in southern Jiangsu, involving Nanjing, Suzhou, Wuxi and Changzhou. The Bayesian space-time interaction model showed that socioeconomic factor and population density were negatively correlated with the CNR of PTB, and positively associated with the CNR of HIV and HIV-PTB coinfection.Conclusion: The spatial heterogeneity and spatiotemporal clusters of PTB, HIV and HIV-PTB coinfection are exhibited obviously in Jiangsu. More comprehensive interventions should be applied to target TB in the northern part. While in southern Jiangsu, where the economic level is well-developed and the population density is high, we should strengthen the prevention and control of HIV and HIV-PTB coinfection.Keywords: pulmonary tuberculosis, HIV, spatial autocorrelation analysis, socioeconomic determinants, Bayesian space-time interaction model |
| first_indexed | 2024-03-13T01:50:38Z |
| format | Article |
| id | doaj.art-822bf435ac81460e8a5e86b4417dedd1 |
| institution | Directory Open Access Journal |
| issn | 1178-6973 |
| language | English |
| last_indexed | 2024-03-13T01:50:38Z |
| publishDate | 2023-06-01 |
| publisher | Dove Medical Press |
| record_format | Article |
| series | Infection and Drug Resistance |
| spelling | doaj.art-822bf435ac81460e8a5e86b4417dedd12023-07-02T19:49:16ZengDove Medical PressInfection and Drug Resistance1178-69732023-06-01Volume 164039405284662Spatiotemporally Comparative Analysis of HIV, Pulmonary Tuberculosis, HIV-Pulmonary Tuberculosis Coinfection in Jiangsu Province, ChinaWu ZFu GWen QWang ZShi LEQiu BWang JZhuchao Wu,1,* Gengfeng Fu,2,* Qin Wen,1,* Zheyue Wang,1 Lin-en Shi,2 Beibei Qiu,1 Jianming Wang1,3,4 1Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, People’s Republic of China; 2Department of STI and HIV Control and Prevention, Center for Disease Control and Prevention of Jiangsu Province, Nanjing, 210009, People’s Republic of China; 3Department of Epidemiology, Gusu School, Nanjing Medical University, Nanjing, 211166, People’s Republic of China; 4Changzhou Medical Center, Nanjing Medical University, Nanjing, 211166, People’s Republic of China*These authors contributed equally to this workCorrespondence: Jianming Wang, Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, People’s Republic of China, Tel +86-25-86868414, Email jmwang@njmu.edu.cnPurpose: Pulmonary tuberculosis (PTB) is a severe chronic communicable disease that causes a heavy disease burden in China. Human Immunodeficiency Virus (HIV) and PTB coinfection dramatically increases the risk of death. This study analyzes the spatiotemporal dynamics of HIV, PTB and HIV-PTB coinfection in Jiangsu Province, China, and explores the impact of socioeconomic determinants.Patients and Methods: The data on all notified HIV, PTB and HIV-PTB coinfection cases were extracted from Jiangsu Provincial Center for Disease Control and Prevention. We applied the seasonal index to identify high-risk periods of the disease. Time trend, spatial autocorrelation and SaTScan were used to analyze temporal trends, hotspots and spatiotemporal clusters of diseases. The Bayesian space-time model was conducted to examine the socioeconomic determinants.Results: The case notification rate (CNR) of PTB decreased from 2011 to 2019 in Jiangsu Province, but the CNR of HIV and HIV-PTB coinfection had an upward trend. The seasonal index of PTB was the highest in March, and its hotspots were mainly distributed in the central and northern parts, such as Xuzhou, Suqian, Lianyungang and Taizhou. HIV had the highest seasonal index in July and HIV-PTB coinfection had the highest seasonal index in June, with their hotspots mainly distributed in southern Jiangsu, involving Nanjing, Suzhou, Wuxi and Changzhou. The Bayesian space-time interaction model showed that socioeconomic factor and population density were negatively correlated with the CNR of PTB, and positively associated with the CNR of HIV and HIV-PTB coinfection.Conclusion: The spatial heterogeneity and spatiotemporal clusters of PTB, HIV and HIV-PTB coinfection are exhibited obviously in Jiangsu. More comprehensive interventions should be applied to target TB in the northern part. While in southern Jiangsu, where the economic level is well-developed and the population density is high, we should strengthen the prevention and control of HIV and HIV-PTB coinfection.Keywords: pulmonary tuberculosis, HIV, spatial autocorrelation analysis, socioeconomic determinants, Bayesian space-time interaction modelhttps://www.dovepress.com/spatiotemporally-comparative-analysis-of-hiv-pulmonary-tuberculosis-hi-peer-reviewed-fulltext-article-IDRpulmonary tuberculosishivspatial autocorrelation analysissocioeconomic determinantsbayesian space-time interaction model |
| spellingShingle | Wu Z Fu G Wen Q Wang Z Shi LE Qiu B Wang J Spatiotemporally Comparative Analysis of HIV, Pulmonary Tuberculosis, HIV-Pulmonary Tuberculosis Coinfection in Jiangsu Province, China Infection and Drug Resistance pulmonary tuberculosis hiv spatial autocorrelation analysis socioeconomic determinants bayesian space-time interaction model |
| title | Spatiotemporally Comparative Analysis of HIV, Pulmonary Tuberculosis, HIV-Pulmonary Tuberculosis Coinfection in Jiangsu Province, China |
| title_full | Spatiotemporally Comparative Analysis of HIV, Pulmonary Tuberculosis, HIV-Pulmonary Tuberculosis Coinfection in Jiangsu Province, China |
| title_fullStr | Spatiotemporally Comparative Analysis of HIV, Pulmonary Tuberculosis, HIV-Pulmonary Tuberculosis Coinfection in Jiangsu Province, China |
| title_full_unstemmed | Spatiotemporally Comparative Analysis of HIV, Pulmonary Tuberculosis, HIV-Pulmonary Tuberculosis Coinfection in Jiangsu Province, China |
| title_short | Spatiotemporally Comparative Analysis of HIV, Pulmonary Tuberculosis, HIV-Pulmonary Tuberculosis Coinfection in Jiangsu Province, China |
| title_sort | spatiotemporally comparative analysis of hiv pulmonary tuberculosis hiv pulmonary tuberculosis coinfection in jiangsu province china |
| topic | pulmonary tuberculosis hiv spatial autocorrelation analysis socioeconomic determinants bayesian space-time interaction model |
| url | https://www.dovepress.com/spatiotemporally-comparative-analysis-of-hiv-pulmonary-tuberculosis-hi-peer-reviewed-fulltext-article-IDR |
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