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Unbalanced Risk of Pulmonary Tuberculosis in China at the Subnational Scale: Spatiotemporal Analysis

Maogui Hu1, Yuqing Feng1,2, Tao Li3

  • 1State Key Laboratory of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Beijing, China.

JMIR Public Health and Surveillance
|July 1, 2022
PubMed
Abstract

Keywords:
BayesianChinaTBcasesdisease burdenincidenceinfectious diseasenotification datanotification ratespatternpublic healthpulmonary tuberculosisregional inequalityriskspatial dataspatiotemporal patterntrendtuberculosisunbalanced

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