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

Theme Issue 2020: Medical Artificial Intelligence Applications in China (9)

Published on in Vol 8, No 5 (2020): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18664, first published .
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Retracted: Optimization of Precontrol Methods and Analysis of a Dynamic Model for Brucellosis: Model Development and Validation

Retracted: Optimization of Precontrol Methods and Analysis of a Dynamic Model for Brucellosis: Model Development and Validation

Authors of this article:

Yihao Huang1, 2 Author Orcid Image ;   Mingtao Li3 Author Orcid Image
Article Authors Cited by (5) Tweetations Metrics

Journals

  1. Ni H, Dai H, Yang X, Zhao J, He Y, Yi S, Hong X, Zha W, Lv Y. Effective intervention of brucellosis prevention in developing countries: A dynamic modelling study. One Health 2024;19:100840 View
  2. Rerkyusuke S, Lerk-u-suke S, Sukon P, Phuektes P, Wahdan Elkholy A. Serological and Molecular Prevalence and Associated Risk Factors in Caprine Brucellosis, Northeastern Thailand. Veterinary Medicine International 2024;2024(1) View
  3. Abudunaibi B, Chen Q, Bahati J, Zhao X, Wang Y, Rui J, Chen T, Guan X. Evaluation of non-vaccination brucellosis control strategies in class II regions using a transmission dynamics model: a case study from Hubei Province. BMC Infectious Diseases 2025;25(1) View
  4. . Retraction: Optimization of Precontrol Methods and Analysis of a Dynamic Model for Brucellosis: Model Development and Validation. JMIR Medical Informatics 2026;14:e98667 View
  5. Lou P, Huang Y, Fan X, Chen N, Hu Y, Liu H, Zhao F, Xu J, Gao E, Wang K. Simulation and prediction of human brucellosis epidemic trends in Changji city. Infectious Disease Modelling 2026;11(4):1462 View