Socio-Demographic Predictors and Distribution of Pulmonary Tuberculosis (TB) in Xinjiang, China: A Spatial Analysis
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DOI: 10.1371/journal.pone.0144010
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References listed on IDEAS
- 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.
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- 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.
- 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.
- 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.
- 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.
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