IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0144010.html
   My bibliography  Save this article

Socio-Demographic Predictors and Distribution of Pulmonary Tuberculosis (TB) in Xinjiang, China: A Spatial Analysis

Author

Listed:
  • Atikaimu Wubuli
  • Feng Xue
  • Daobin Jiang
  • Xuemei Yao
  • Halmurat Upur
  • Qimanguli Wushouer

Abstract

Objectives: Xinjiang is one of the high TB burden provinces of China. A spatial analysis was conducted using geographical information system (GIS) technology to improve the understanding of geographic variation of the pulmonary TB occurrence in Xinjiang, its predictors, and to search for targeted interventions. Methods: Numbers of reported pulmonary TB cases were collected at county/district level from TB surveillance system database. Population data were extracted from Xinjiang Statistical Yearbook (2006~2014). Spatial autocorrelation (or dependency) was assessed using global Moran’s I statistic. Anselin’s local Moran’s I and local Getis-Ord statistics were used to detect local spatial clusters. Ordinary least squares (OLS) regression, spatial lag model (SLM) and geographically-weighted regression (GWR) models were used to explore the socio-demographic predictors of pulmonary TB incidence from global and local perspectives. SPSS17.0, ArcGIS10.2.2, and GeoDA software were used for data analysis. Results: Incidence of sputum smear positive (SS+) TB and new SS+TB showed a declining trend from 2005 to 2013. Pulmonary TB incidence showed a declining trend from 2005 to 2010 and a rising trend since 2011 mainly caused by the rising trend of sputum smear negative (SS-) TB incidence (p

Suggested Citation

  • Atikaimu Wubuli & Feng Xue & Daobin Jiang & Xuemei Yao & Halmurat Upur & Qimanguli Wushouer, 2015. "Socio-Demographic Predictors and Distribution of Pulmonary Tuberculosis (TB) in Xinjiang, China: A Spatial Analysis," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-22, December.
    • Handle: RePEc:plo:pone00:0144010
    DOI: 10.1371/journal.pone.0144010
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0144010
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0144010&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0144010?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Luc Anselin & Sanjeev Sridharan & Susan Gholston, 2007. "Using Exploratory Spatial Data Analysis to Leverage Social Indicator Databases: The Discovery of Interesting Patterns," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 82(2), pages 287-309, June.
    2. Anselin, Luc & Getis, Arthur, 1992. "Spatial Statistical Analysis and Geographic Information Systems," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 26(1), pages 19-33, April.
    3. Myers, W.P. & Westenhouse, J.L. & Flood, J. & Riley, L.W., 2006. "An ecological study of tuberculosis transmission in California," American Journal of Public Health, American Public Health Association, vol. 96(4), pages 685-690.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kang Ma & Yuesheng Lin & Xiaopeng Zhang & Fengman Fang & Yong Zhang & Jiajia Li & Youru Yao & Lei Ge & Huarong Tan & Fei Wang, 2022. "Spatiotemporal Distribution and Evolution of Digestive Tract Cancer Cases in Lujiang County, China since 2012," IJERPH, MDPI, vol. 19(12), pages 1-13, June.
    2. Dan Kibuuka & Charles Mpofu & Penny Neave & Samuel Manda, 2021. "A Spatial Analysis of Tuberculosis Related Mortality in South Africa," IJERPH, MDPI, vol. 18(22), pages 1-10, November.
    3. Long Viet Bui & Zohar Mor & Daniel Chemtob & Son Thai Ha & Hagai Levine, 2018. "Use of Geographically Weighted Poisson Regression to examine the effect of distance on Tuberculosis incidence: A case study in Nam Dinh, Vietnam," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-12, November.
    4. Kustanto, Andi, 2020. "The role of socioeconomic and environmental factors on the number of tuberculosis cases in Indonesia," OSF Preprints ad3uv, Center for Open Science.
    5. Ling Zhang & Hui Zhang & Hao Yang, 2018. "Spatial Distribution Pattern of the Headquarters of Listed Firms in China," Sustainability, MDPI, vol. 10(7), pages 1-20, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xinyue Ye & Sergio Rey, 2013. "A framework for exploratory space-time analysis of economic data," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 50(1), pages 315-339, February.
    2. Sridharan, Sanjeev & Jones, Bobby & Caudill, Barry & Nakaima, April, 2016. "Steps towards incorporating heterogeneities into program theory: A case study of a data-driven approach," Evaluation and Program Planning, Elsevier, vol. 58(C), pages 88-97.
    3. Roger Bivand, 2008. "Implementing Representations Of Space In Economic Geography," Journal of Regional Science, Wiley Blackwell, vol. 48(1), pages 1-27, February.
    4. Ragdad Cani Miranti, 2021. "Is regional poverty converging across Indonesian districts? A distribution dynamics and spatial econometric approach," Asia-Pacific Journal of Regional Science, Springer, vol. 5(3), pages 851-883, October.
    5. Felipe Santos‐Marquez & Carlos Mendez, 2021. "Regional convergence, spatial scale, and spatial dependence: Evidence from homicides and personal injuries in Colombia 2010–2018," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(4), pages 1162-1184, August.
    6. Ye Seul Choi & Up Lim, 2015. "Effects of Regional Creative Milieu on Interregional Migration of the Highly Educated in Korea: Evidence from Hierarchical Cross-Classified Linear Modeling," Sustainability, MDPI, vol. 7(12), pages 1-18, December.
    7. Ye, Xinyue & Yue, Wenze, 2014. "Comparative analysis of regional development: Exploratory space-time data analysis and open source implementation," Economics Discussion Papers 2014-20, Kiel Institute for the World Economy (IfW Kiel).
    8. Biswajit Mohanty & N. R. Bhanumurthy, 2018. "Regional growth policy experience in India: the spatial dimension," Asia-Pacific Journal of Regional Science, Springer, vol. 2(2), pages 479-505, August.
    9. Hyunwoo Lim & Minyoung Park, 2019. "Modeling the Spatial Dimensions of Warehouse Rent Determinants: A Case Study of Seoul Metropolitan Area, South Korea," Sustainability, MDPI, vol. 12(1), pages 1-17, December.
    10. Michael Poulsen & Ron Johnston & James Forrest, 2010. "The Intensity of Ethnic Residential Clustering: Exploring Scale Effects Using Local Indicators of Spatial Association," Environment and Planning A, , vol. 42(4), pages 874-894, April.
    11. Maike Tahden & Juliane Manitz & Klaus Baumgardt & Gerhard Fell & Thomas Kneib & Guido Hegasy, 2016. "Epidemiological and Ecological Characterization of the EHEC O104:H4 Outbreak in Hamburg, Germany, 2011," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-19, October.
    12. Burhan Can Karahasan & Firat Bilgel, 2017. "Access to Healthcare, Utilization and Health Outcomes in Turkey," Working Papers 1089, Economic Research Forum, revised 04 2017.
    13. Zhi Zhang & Zhiwei Wan & Shan Xu & Hong Wu & Lingyue Liu & Zhao Chen & Ji Zeng, 2023. "Environmental Adaptation in the Process of Human-Land Relationship in Southeast China’s Ethnic Minority Areas and Its Significance on Sustainable Development," IJERPH, MDPI, vol. 20(3), pages 1-16, February.
    14. Chavez, Alicia & Paredes, Dusan, 2023. "Public spending and economies of scale in partial fiscal decentralized governments: The case of Chile," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
    15. E Talen & L Anselin, 1998. "Assessing Spatial Equity: An Evaluation of Measures of Accessibility to Public Playgrounds," Environment and Planning A, , vol. 30(4), pages 595-613, April.
    16. Kai Li & Zhili Ma & Jinjin Liu, 2019. "A New Trend in the Space–Time Distribution of Cultivated Land Occupation for Construction in China and the Impact of Population Urbanization," Sustainability, MDPI, vol. 11(18), pages 1-23, September.
    17. Chibuzor Christopher Nnanatu & Glory Atilola & Paul Komba & Lubanzadio Mavatikua & Zhuzhi Moore & Dennis Matanda & Otibho Obianwu & Ngianga-Bakwin Kandala, 2021. "Evaluating changes in the prevalence of female genital mutilation/cutting among 0-14 years old girls in Nigeria using data from multiple surveys: A novel Bayesian hierarchical spatio-temporal model," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-31, February.
    18. Nattapong Puttanapong & Amornrat Luenam & Pit Jongwattanakul, 2022. "Spatial Analysis of Inequality in Thailand: Applications of Satellite Data and Spatial Statistics/Econometrics," Sustainability, MDPI, vol. 14(7), pages 1-25, March.
    19. Heba, Ines & Malin, Eric & Thomas-Agnan, Christine, 2002. "Exploratory spatial data analysis with GEOXP," ERSA conference papers ersa02p498, European Regional Science Association.
    20. Sridharan, Sanjeev & Tunstall, Helena & Lawder, Richard & Mitchell, Richard, 2007. "An exploratory spatial data analysis approach to understanding the relationship between deprivation and mortality in Scotland," Social Science & Medicine, Elsevier, vol. 65(9), pages 1942-1952, November.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0144010. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.