This paper is in the following e-collection/theme issue:

Infectious Diseases (non-STD/STI) (1726) Environmental Health (123) Prevention and Health Promotion (1362) Innovative Methods in Public Health and Surveillance (383) Surveillance Systems (514)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40659, first published .
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

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

Authors of this article:

Wen Wei1 Author Orcid Image ;   Lan Xia2 Author Orcid Image ;   Jianlin Wu2 Author Orcid Image ;   Zonglei Zhou1 Author Orcid Image ;   Wenqiang Zhang1 Author Orcid Image ;   Rongsheng Luan1 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

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