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Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40659, first published .
Doctor in white coat reviewing medical chart in hospital waiting room

The Environmental and Socioeconomic Effects and Prediction of Patients With Tuberculosis in Different Age Groups in Southwest China: A Population-Based Study

The Environmental and Socioeconomic Effects and Prediction of Patients With Tuberculosis in Different Age Groups in Southwest China: A Population-Based Study

Journals

  1. Maipan-Uku J, Cavus N. Forecasting tuberculosis incidence: a review of time series and machine learning models for prediction and eradication strategies. International Journal of Environmental Health Research 2025;35(3):645 View
  2. Du R, Rao L, Xiao X, Zhao Q, Shen X, Xu B. The impact of population aging on tuberculosis prevention and control in Shanghai: a prediction based on age-period-cohort models. Aging Clinical and Experimental Research 2025;37(1) View
  3. Mu Q, Cao H, Li F, Wang B, Zhang S, Luo R, Liu J, Liu P, Deng J, Wang C. Spatiotemporal patterns, associated factors, and forecasting of pulmonary tuberculosis: a 19-year township-level case study in Zigong City, China. BMC Public Health 2026;26(1) View
  4. Sonka B, Hosu M, Dlatu N, Makola T, Faye L. Routine Molecular Surveillance of Drug-Resistant Tuberculosis: Translating Mutation Proxies into Clinical Governance Intelligence in Rural Eastern Cape. Healthcare 2026;14(10):1280 View