The effect of using different types of periodic contact rate on the behaviour of infectious diseases: A simulation study

2007 ◽  
Vol 37 (11) ◽  
pp. 1582-1590 ◽  
Author(s):  
I.A. Moneim
Keyword(s):  
Infectious Diseases ◽  
Simulation Study ◽  
Contact Rate ◽  
Periodic Contact ◽  
Different Types

Nanomaterials Useful in Health and Medicine to Improve Public Health

2021 ◽  
pp. 49-74
Author(s):  
Manish Kumar Dwivedi ◽  
Suvashish Kumar Pandey ◽  
Prashant Kumar Singh
Keyword(s):  
Public Health ◽  
Infectious Diseases ◽  
Human Health ◽  
Carrying Capacity ◽  
Drug Delivery Systems ◽  
High Stability ◽  
Negative Impact ◽  
High Specificity ◽  
Different Types ◽  
Novel Drug

In modern research, nanotechnology is a very attractive technology and helps to reduce infectious diseases. Nanoparticles have gained significantly more important than the bulk counterparts due to their unique properties. This chapter gives knowledge about the general introduction of nanoparticles with classification and also discussed the effect of nanoparticles impact on public health. Nanotechnology is most widely used to reduced different types of infectious diseases such as bacterial, viral, parasitic diseases, etc. Nanotechnology is applied to detect different types of diseases such as cancer, diabetes, and other diseases. Nanotechnology is a useful technique to develop novel drug delivery systems due to their high specificity, high drug-carrying capacity, and high stability. Nanotechnology can be able to improve human health but on the other hand, we have seen a negative impact on human health and environmental health. The solubility and toxicity of nanoparticles is a major issue worldwide.

scholarly journals The Dynamics of Epidemic Model with Two Types of Infectious Diseases and Vertical Transmission

2016 ◽  
Vol 2016 ◽  
pp. 1-16 ◽  
Author(s):  
Raid Kamel Naji ◽  
Reem Mudar Hussien
Keyword(s):  
Infectious Diseases ◽  
Vertical Transmission ◽  
Bifurcation Analysis ◽  
Epidemic Model ◽  
Reproduction Number ◽  
Equilibrium Points ◽  
Host Population ◽  
Local Bifurcation ◽  
Local Bifurcation Analysis ◽  
Different Types

An epidemic model that describes the dynamics of the spread of infectious diseases is proposed. Two different types of infectious diseases that spread through both horizontal and vertical transmission in the host population are considered. The basic reproduction numberR0is determined. The local and the global stability of all possible equilibrium points are achieved. The local bifurcation analysis and Hopf bifurcation analysis for the four-dimensional epidemic model are studied. Numerical simulations are used to confirm our obtained analytical results.

scholarly journals Simulation Study of Topological Structures and Node Coordinations for Deterministic WSN with TSCH

2017 ◽  
Vol 1 (4) ◽  
pp. 115 ◽  
Author(s):  
Vijaya Perumalla ◽  
B. Seetha Ramanjaneyulu ◽  
Ashok Kolli
Keyword(s):  
Simulation Study ◽  
Time Delays ◽  
Frequency Hopping ◽  
Multihop Networks ◽  
Wireless Sensor ◽  
Multiple Channels ◽  
Promising Technique ◽  
Different Types ◽  
Channel Hopping ◽  
Multiple Frequencies

Time-Slotted Channel hopping (TSCH) that was introduced in IEEE802.15.4e is a promising technique to offer deterministic data deliveries in Wireless Sensor Networks (WSN). Its main strength lies in using multiple channels for the transmissions, using frequency hopping method. However, it takes more time for initializing the network, as beacons have to be released on multiple frequencies and scanning needs to be carried out by the devices in all those frequencies for joining the network. In this work, a simulation study is carried out to investigate the effect of these delays for different types of multihop networks. The benefit of introducing multiple coordinators in reducing these time delays is also studied. It is found that the delays are increasing linearly with the number of hops in the network and adding an additional coordinator can bring down the initialization time by half.

Epidemic Spreading

2018 ◽  
Author(s):  
Ginestra Bianconi
Keyword(s):  
Social Media ◽  
Infectious Diseases ◽  
Sir Model ◽  
Temporal Networks ◽  
Epidemic Spreading ◽  
Multilayer Networks ◽  
Multilayer Network ◽  
Sis Model ◽  
Online Social Media ◽  
Different Types

Epidemic processes are relevant to studying the propagation of infectious diseases, but their current use extends also to the study of propagation of ideas in the society or memes and news in online social media. In most of the relevant applications epidemic spreading does not actually take place on a single network but propagates in a multilayer network where different types of interaction play different roles. This chapter provides a comprehensive view of the effect that multilayer network structures have on epidemic processes. The Susceptible–Infected–Susceptible (SIS) Model and the Susceptible–Infected–Removed (SIR) Model are characterized on multilayer networks. Additionally, it is shown that the multilayer networks framework can also allow us to study interacting Awareness and epidemic spreading, competing networks and epidemics in temporal networks.

Computer simulation study of rotational diffusion in polar liquids of different types

2010 ◽  
Vol 133 (13) ◽  
pp. 134502 ◽  
Author(s):  
Alexander Y. Zasetsky ◽  
Svetlana V. Petelina ◽  
Andrey K. Lyashchenko ◽  
Alexander S. Lileev
Keyword(s):  
Computer Simulation ◽  
Simulation Study ◽  
Rotational Diffusion ◽  
Computer Simulation Study ◽  
Polar Liquids ◽  
Different Types
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