Abstract

How to prevent the spread of human diseases is a great challenge for the scientific community and so far there are many studies in which immunization strategies have been developed. However, these kind of strategies usually do not consider that medical institutes may have limited vaccine resources available. In this manuscript, we explore the susceptible-infected-recovered model with local dynamic vaccination, and considering limited vaccines. In this model, susceptibles in contact with an infected individual, are vaccinated -with probability ω- and then get infected -with probability β. However, when the fraction of immunized individuals reaches a threshold VL, the vaccination stops, after which only the infection is possible. In the steady state, besides the critical points βc and ωc that separate a non-epidemic from an epidemic phase, we find for a range of VL another transition points, β* > βc and ω* < ωc, which correspond to a novel discontinuous phase transition. This critical value separates a phase where the amount of vaccines is sufficient, from a phase where the disease is strong enough to exhaust all the vaccination units. For a disease with fixed β, the vaccination probability ω can be controlled in order to drastically reduce the number of infected individuals, using efficiently the available vaccines. Furthermore, the temporal evolution of the system close to β* or ω*, shows that after a peak of infection the system enters into a quasi-stationary state, with only a few infected cases. But if there are no more vaccines, these few infected individuals could originate a second outbreak, represented by a second peak of infection. This state of apparent calm, could be dangerous since it may lead to misleading conclusions and to an abandon of the strategies to control the disease.

Highlights

  • Human interactions have a structure that can be well described in the form of a complex network [1,2,3,4]

  • Temporal evolution To demonstrate the validity of the theoretical formalism, in figure 3 we show simulations and theory of the temporal evolution of the process for an infection probability β = 0.168, a vaccination probability ω = 0.45, a vaccination limit VL = 0.5, and a recovery time tr = 3

  • When ω ωc, the disease can not propagate since all the paths are blocked by immunized individuals. Using these phase diagrams we can learn how the regions of insufficient vaccines change with the available immunization resources in medical institutes, the infection probability, which depends on the disease, and the vaccination probability, which may depend on the medical workers. In this manuscript we have explored the implications of a limited number of vaccines in the SIR model with local vaccination

Read more

Summary

17 August 2018

Any further distribution of How to prevent the spread of human diseases is a great challenge for the scientific community and so this work must maintain far there are many studies in which immunization strategies have been developed These attribution to the author(s) and the title of kind of strategies usually do not consider that medical institutes may have limited vaccine resources the work, journal citation and DOI. In this manuscript, we explore the susceptible-infected-recovered model with local dynamic vaccination, and considering limited vaccines. If there are no more vaccines, these few infected individuals could originate a second outbreak, represented by a second peak of infection This state of apparent calm, could be dangerous since it may lead to misleading conclusions and to an abandon of the strategies to control the disease

Introduction
The model
Theoretical formalism
Results
Discussion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call