ArticleInfectious Disease Modelling2018
Dynamic model of tuberculosis considering multi-drug resistance and their applications.
Article in Infectious Disease Modelling, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Analysis of drug-resistant tuberculosis transmission dynamics in China using fractional stochastic model.PloS one · 2025Article
- Studying the efficacy of isolation as a control strategy and elimination of tuberculosis in India: A mathematical model.Infectious Disease Modelling · 2023Article
- Rising challenge of multidrug-resistant tuberculosis in China: a predictive study using Markov modeling.Infectious diseases of poverty · 2020Article
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Authors and funding
3 authors.
Funding
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Abstract
Infectious diseases have always been a problem that threatens people's health and tuberculosis is one of the major. With the development of medical scientific research, drug-resistant infectious diseases have become a more intractable threat because various drugs and antibiotics are widely used in the process of fighting against infectious diseases. In this paper, an improved dynamic model of infectious diseases considering population dynamics and drug resistance is established. The feasible region, equilibrium points and stability of the model are analyzed. Based on the existing data, this model can predict the development of the epidemic situation through numerical simulation, and put forward some relevant measures and suggestions.
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Registered trials
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