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Analysis of spatial-temporal distribution and influencing factors of pulmonary tuberculosis in China, during 2008–2015

  • Y. Zhang (a1), X. L. Wang (a1), T. Feng (a1) and C. Z. Fang (a1)
Abstract

At present, the number of people with tuberculosis in China is second only to India and ranks second in the world. Under such a severe case of tuberculosis in China, prevention and control of pulmonary tuberculosis are urgently needed. This study aimed to study the temporal and geographical relevance of the pathogenesis of pulmonary tuberculosis and the factors affecting the incidence of tuberculosis. Spatial autocorrelation model was used to study the spatial distribution characteristics of pulmonary tuberculosis from a quantitative level. The research results showed that the overall incidence of pulmonary tuberculosis (IPT) in China was low in the east, high in the west and had certain seasonal characteristics. We use Spatial Lag Model to explore influencing factors of pulmonary tuberculosis. It indicates that the IPT is high in areas with underdeveloped economics, poor social services and low average smoking ages. Additionally, the IPT is high in areas with high AIDS prevalence. Also, compared with Classical Regression Model and Spatial Error Model, our model has smaller values of Akaike information criterion and Schwarz criterion. Besides, our model has bigger values of coefficient of determination (R2) and log-likelihood (log L) than the other two models. Apart from that, it is more significant than Spatial Error Models in the spatial dependence test for the IPT.

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Corresponding author
Author for correspondence: X. L. Wang, E-mail: wangxl@bupt.edu.cn
References
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1.WH Organization (2015) Global tuberculosis Report 2015. France: World Health Organization, p. 28.
2.Xu, M et al. (2017) Survey on tuberculosis patients in rural areas in China: tracing the role of stigma in psychological distress. International Journal of Environmental Research and Public Health 14, 10.
3.Li, L et al. (2012) Screening of patients with tuberculosis for diabetes mellitus in China. Trop Medicine & International Health 17, 12941301.
4.Ding, Y (2016) Research progress on influencing factors and nursing countermeasures of quality of life of patients with pulmonary tuberculosis. Chinese Nursing Research 30, 36013603.
5.Li, L, Xi, Y and Ren, F (2016) Spatio-temporal distribution characteristics and trajectory similarity analysis of tuberculosis in Beijing, China. International Journal of Environmental Research and Public Health 13, 3.
6.Pfeiffer, DU et al. (2008) Spatial clustering of disease and global estimates of spatial clustering. In Spatial Analysis in Epidemiology, 1st Edn. New York, USA: Oxford University Press, pp. 611.
7.Jafari-Koshki, T, Arsang-Jang, S and Raei, M (2015) Applying spatiotemporal models to study risk of smear-positive tuberculosis in Iran, 2001–2012. International. Journal of Tuberculosis and Lung Disease 19, 469474.
8.Li, X-X and Wang, L-X (2010) Exploration of ecological factors related to the spatial heterogeneity of tuberculosis prevalence in P. R. China. Global Health Action 7, 23620.
9.Kulldorff, M and Nagarwalla, N (1995) Spatial disease clusters: detection and inference. Statistics in Medicine 14, 799810.
10.Kulldorff, M (1997) Spatial scan statistics: models, calculations, and applications. Communications in Statistics-Theory and Methods 26, 14811496.
11.Li, XZ and Wang, JF (2013) A fast method for making candidate clusters in spatial scan statistic method. ISPRS International Journal of Geo-Information. 15, 505511.
12.Bauer, M, Leavens, A and Schwartzman, K (2013) A systematic review and meta-analysis of the impact of tuberculosis on health-related quality of life. Quality of Life Research 22, 22132235.
13.Masumoto, S et al. (2014) Factors associated with health-related quality of life among pulmonary tuberculosis patients in Manila, the Philippines. Quality of Life Research 23, 15231533.
14.Rondags, A et al. (2014) Factors influencing non-adherence to tuberculosis treatment in Jepara, central Java, Indonesia. The Southeast Asian Journal of Tropical Medicine and Public Health 45, 859868.
15.Grange, JM and Gandy, M (2001) Historical declines in tuberculosis: nature, nurture and the biosocial model. International Journal of Tuberculosis and Lung Disease 5, 208212.
16.Getis, A and Ord, JK (1992) The analysis of Spatial Association by use of distance statistics. Geographical Analysis 24, 189206.
17.Zhang, SL and Zhang, K (2007) Constant study on Moran and Getis-Ord index of local spatial autocorrelation indices. Journal of Geodesy and Geodynamics 27, 3134.
18.Wang, T (2012) The Spatial Epidemiology of Tuberculosis in Linyi City, Shandong Province. Jinan, China: Shandong University.
19.Anselin, L (1995) Local Indicators of Spatial Association—LISA. Geographical Analysis 27, 93115.
20.Zhang, XL (2007) The analysis models of exploratory spatial data. Contemporary Economy Management 2, 2629.
21.Hou, YC et al. (2013) Study on The Incidence of Tuberculosis and its Influencing Factors in Rural Areas (dissertation). Huazhong University of Science and Technology, Wuhan, Hubei, China, pp. 2830.
22.Edelson, PJ et al. (2011) TB transmission on public transportation: a review of published studies and recommendations for contact tracing. Travel Medicine and Infectious Disease 9, 2731.
23.Mohr, O et al. (2012) Evidence for airborne infectious disease transmission in public ground transport-a literature review. Euro surveillance 17, 20255.
24.Zhu, SY et al. (2013) Comparison of Tuberculosis Incidence and Delay in Treatment in Different Regions (dissertation). Huazhong University of Science and Technology, Wuhan, Hubei, China, pp. 13.
25.Li, J et al. (2017) Study on the imaging difference of AIDS complicated with pulmonary tuberculosis and pulmonary tuberculosis. Chinese Imaging Journal of Integrated Traditional and Western Medicine 2, 134136.
26.Zhang, ZB et al. (2016) Seasonal distribution characteristics and influencing factors of tuberculosis. Chinese Journal of Epidemiology 8, 11831186.
27.Wang, WX et al. (2012) Seasonal analysis of the incidence of tuberculosis in China. Modern Preventive Medicine 39, 37733774+3777.
28.Yu, M et al. (2008) Evaluation on the medium-term effect of Ningbo TB control plan (2001–2010). Chinese Preventive Medicine 5, 394396.
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Epidemiology & Infection
  • ISSN: 0950-2688
  • EISSN: 1469-4409
  • URL: /core/journals/epidemiology-and-infection
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