Pulse Vaccination Strategy in the SEIR Epidemic Dynamics Model with Latent Period

2010 ◽  
Author(s):  
Wei Wei ◽  
Meng Li
Keyword(s):  
Latent Period ◽  
Vaccination Strategy ◽  
Dynamics Model ◽  
Epidemic Dynamics ◽  
Pulse Vaccination

scholarly journals Determinants of SARS-CoV-2 transmission to guide vaccination strategy in a city

2020 ◽  
Author(s):  
Sarah C. Brüningk ◽  
Juliane Klatt ◽  
Madlen Stange ◽  
Alfredo Mari ◽  
Myrta Brunner ◽  
...  
Keyword(s):  
Vaccination Strategy ◽  
Population Level ◽  
Data Sets ◽  
Epidemic Dynamics ◽  
Modelling Analysis ◽  
City Population ◽  
Senior Population ◽  
Spatio Temporal ◽  
Socioeconomic Data ◽  
The City

Transmission chains within cities provide an important contribution to case burden and economic impact during the ongoing COVID-19 pandemic, and should be a major focus for preventive measures to achieve containment. Here, at very high spatio-temporal resolution, we analysed determinants of SARS-CoV-2 transmission in a medium-sized European city. We combined detailed epidemiological, mobility, and socioeconomic data-sets with whole genome sequencing during the first SARS-CoV-2 wave. Both phylogenetic clustering and compartmental modelling analysis were performed based on the dominating viral variant (B.1-C15324T; 60% of all cases). Here we show that transmissions on the city population level are driven by the socioeconomically weaker and highly mobile groups. Simulated vaccination scenarios showed that vaccination of a third of the population at 90% efficacy prioritising the latter groups would induce a stronger preventive effect compared to vaccinating exclusively senior population groups first. Our analysis accounts for both social interaction and mobility on the basis of molecularly related cases, thereby providing high confidence estimates of the underlying epidemic dynamics that may readily be translatable to other municipal areas.

Complexity of an SIR epidemic dynamics model with impulsive vaccination control

2005 ◽  
Vol 26 (2) ◽  
pp. 495-505 ◽  
Author(s):  
Guang Zhao Zeng ◽  
Lan Sun Chen ◽  
Li Hua Sun
Keyword(s):  
Dynamics Model ◽  
Epidemic Dynamics ◽  
Sir Epidemic ◽  
Impulsive Vaccination

scholarly journals A model-based design of a vaccination strategy against rubella in a non-immunized community of São Paulo State, Brazil

1994 ◽  
Vol 112 (3) ◽  
pp. 579-594 ◽  
Author(s):  
E. Massad ◽  
M. Nascimento Burattini ◽  
R. S. De Azevedo Neto ◽  
Hyun Mo Yang ◽  
F. A. B. Coutinho ◽  
...  
Keyword(s):  
Vaccination Campaign ◽  
Vaccination Strategy ◽  
Sao Paulo ◽  
Local Health ◽  
São Paulo ◽  
Pulse Vaccination ◽  
Paulo State ◽  
Health Authorities ◽  
Mathematical Techniques ◽  
Local Health Authorities

SUMMARYA mixed vaccination strategy against rubella is proposed. We describe how the vaccination strategy was designed with the help of mathematical techniques. The strategy was designed for application in a non-immunized community of the State of São Paulo, Brazil, and was implemented by local health authorities in 1992. This strategy comprises a pulse vaccination campaign, covering the age interval between 1 and 10 years, followed by the introduction of the vaccine in the immunization calendar at 15 months of age. The expected impact of the proposed strategy is discussed.

scholarly journals Analysis of a Chlamydia epidemic model with pulse vaccination strategy in a random environment

2018 ◽  
Vol 23 (4) ◽  
pp. 457-474 ◽  
Author(s):  
Guruprasad Samantaa ◽  
Shyam Pada Bera
Keyword(s):  
Random Environment ◽  
Epidemic Model ◽  
Vaccination Strategy ◽  
Point Of View ◽  
Susceptible Population ◽  
Pulse Vaccination ◽  
Exponentially Stable ◽  
Periodic Disease ◽  
The Mean ◽  
Varying Total Population Size

In this paper, we have considered a dynamical model of Chlamydia disease with varying total population size, bilinear incidence rate, and pulse vaccination strategy in a random environment. It has been shown that the Chlamydia epidemic model has global positive solutions and, under some conditions, it admits a unique positive periodic disease-free solution, which is globally exponentially stable in mean square. We have defined two positive numbers R1 and R2 (< R1). It is proved that the susceptible population will be persistent in the mean and the disease will be going to extinct if R1 < 1 and the susceptible population as well as the disease will be weakly persistent in the mean if R2 > 1. Our analytical findings are explained through numerical simulation, which show the reliability of our model from the epidemiological point of view.

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