Analysing the contagion effect and governance strategy of corporate financialisation based on a SIRS model

AbstractThe Global Polio Eradication Initiative (GPEI) was launched in 1988 with the aim of completely clearing wild polio viruses by 2000. More than three decades later, the goal has not been achieved, although spectacular advances have been made, with wild polio virus reported in only 2 countries in 2019. In spite of such progress, novel challenges have been added to the equation, most importantly outbreaks of vaccine-derived polio cases resulting from reversion to neurovirulence of attenuated vaccine virus, and insufficient coverage of vaccination. In the context of the latest discussions on malaria eradication, the GPEI experience provides more than a few lessons to the malaria field when considering a coordinated eradication campaign. The WHO Strategic Advisory Committee on Malaria Eradication (SAGme) stated in 2020 that in the context of more than 200 million malaria cases reported, eradication was far from reach in the near future and, therefore, efforts should remain focused on getting back on track to achieve the objectives set by the Global Technical Strategy against Malaria (2016–2030). Acknowledging the deep differences between both diseases and the stages they are in their path towards eradication, this paper draws from the history of GPEI and highlights relevant insights into what it takes to eradicate a pathogen in fields as varied as priority setting, global governance, strategy, community engagement, surveillance systems, and research. Above all, it shows the critical need for openness to change and adaptation as the biological, social and political contexts vary throughout the time an eradication campaign is ongoing.

Download Full-text

Layered SIRS model of information spread in complex networks

Applied Mathematics and Computation ◽

10.1016/j.amc.2021.126524 ◽

2021 ◽

Vol 411 ◽

pp. 126524

Author(s):

Yuexia Zhang ◽

Dawei Pan

Keyword(s):

Complex Networks ◽

Sirs Model ◽

Information Spread

Download Full-text

A free boundary problem of a diffusive SIRS model with nonlinear incidence

Zeitschrift für angewandte Mathematik und Physik ◽

10.1007/s00033-017-0786-8 ◽

2017 ◽

Vol 68 (2) ◽

Cited By ~ 2

Author(s):

Jia-Feng Cao ◽

Wan-Tong Li ◽

Jie Wang ◽

Fei-Ying Yang

Keyword(s):

Free Boundary ◽

Boundary Problem ◽

Free Boundary Problem ◽

Nonlinear Incidence ◽

Sirs Model ◽

A Free Boundary Problem

Download Full-text

Dynamics of hybrid switching diffusions SIRS model

Journal of Applied Mathematics and Computing ◽

10.1007/s12190-015-0932-4 ◽

2015 ◽

Vol 52 (1-2) ◽

pp. 101-123 ◽

Cited By ~ 4

Author(s):

Adel Settati ◽

Aadil Lahrouz ◽

Mustapha El Jarroudi ◽

Moussa El Jarroudi

Keyword(s):

Switching Diffusions ◽

Sirs Model ◽

Hybrid Switching

Download Full-text

Modeling and simulation of the spread of H1N1 flu with periodic vaccination

International Journal of Biomathematics ◽

10.1142/s1793524516500030 ◽

2015 ◽

Vol 09 (01) ◽

pp. 1650003 ◽

Cited By ~ 1

Author(s):

Islam A. Moneim

Keyword(s):

Influenza A ◽

Vaccination Strategy ◽

Vaccination Rate ◽

Influenza Viruses ◽

Sirs Epidemic Model ◽

Sirs Model ◽

Influenza A H1n1 ◽

Large Populations ◽

Stability Results ◽

Influenza H1n1

Influenza H1N1 has been found to exhibit oscillatory levels of incidence in large populations. Clear peaks for influenza H1N1 are observed in several countries including Vietnam each year [M. F. Boni, B. H. Manh, P. Q. Thai, J. Farrar, T. Hien, N. T. Hien, N. Van Kinh and P. Horby, Modelling the progression of pandemic influenza A (H1N1) in Vietnam and the opportunities for reassortment with other influenza viruses, BMC Med. 7 (2009) 43, Doi: 10.1186/1741-7015-7-43]. So it is important to study seasonal forces and factors which can affect the transmission of this disease. This paper studies an SIRS epidemic model with seasonal vaccination rate. This SIRS model has a unique disease-free solution (DFS). The value R0, the basic reproduction number is obtained when the vaccination is a periodic function. Stability results for the DFS are obtained when R0 < 1. The disease persists in the population and remains endemic if R0 > 1. Also when R0 > 1 existence of a nonzero periodic solution is proved. These results obtained for our model when the vaccination strategy is a non-constant time-dependent function.

Download Full-text