ArticleMathematics and computers in simulation2018
Generalized reproduction numbers, sensitivity analysis and critical immunity levels of an SEQIJR disease model with immunization and varying total population size.
Article in Mathematics and computers in simulation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Assessing the impact of intervention strategies on dengue dynamics in Shenzhen, China.PLoS neglected tropical diseases · 2026Article
- An epidemic model with transport-related infection incorporating awareness and screening.Journal of applied mathematics & computing · 2022Article
- A single holiday was the turning point of the COVID-19 policy of Israel.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2020Article
- Impact of the Inflow Population From Outbreak Areas on the COVID-19 Epidemic in Yunnan Province and the Recommended Control Measures: A Preliminary Study.Frontiers in public health · 2020Article
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3 authors.
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Abstract
An SEQIJR model of epidemic disease transmission which includes immunization and a varying population size is studied. The model includes immunization of susceptible people (S), quarantine (Q) of exposed people (E), isolation (J) of infectious people (I), a recovered population (R), and variation in population size due to natural births and deaths and deaths of infected people. It is shown analytically that the model has a disease-free equilibrium state which always exists and an endemic equilibrium state which exists if and only if the disease-free state is unstable. A simple formula is obtained for a generalized reproduction number
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