Loading...
Search for:
epidemic-spreading
0.01 seconds
Identifying the Effect of Gasoline Consumption on Pollutant Emissions with the help of The Covid-19 Outbreak Exogenous Shock
, M.Sc. Thesis Sharif University of Technology ; Rahmati, Mohammad Hossein (Supervisor)
Abstract
Gasoline consumption resulting from vehicular traffic is one of the most significant factors influencing the emission levels of pollutants. Since the sold gasoline at fuel stations does not necessarily translate into vehicular traffic, tracing the final consumer becomes challenging. hence, estimating the impact of gasoline consumption on air pollution is accompanied by biased results. Moreover, the COVID-19 outbreak, acting as an exogenous shock, has provided an opportunity to use data such as COVID-19 and intercity travel as instrumental variables, gasoline consumption, and emission levels, between 2018 and 2020, show unbiased estimates of the effect of gasoline consumption on air...
Failure Tolerance of Epidemic Spreading in Complex Network
, M.Sc. Thesis Sharif University of Technology ; Jalili, Mahdi (Supervisor)
Abstract
Complex networks serve as generic models for many social, technological and biological systems that have been shown to share a number of common structural properties such as power-law degree distribution and small-worldness. These networks determine interactions and influence the spread of diseases, behaviours and ideas. Epidemics and failures like new behaviours ideas and innovations can spread throughout a network and prevent it from doing its functionalities. In this work, we investigate error and attack tolerance of epidemic spreading in complex networks. The main content of this thesis is arranged in three sections as follows: Firstly, the effect of random and systematic failures is...
A Systems Dynamics Approach to Simulate Epidemic Spread of Covid-19
, M.Sc. Thesis Sharif University of Technology ; Roosta Azad, Reza (Supervisor)
Abstract
The outbreak of a type of corona virus in 2019, plunged the world into a huge panic. Businesses entered into an unprecedented recession and economic growth was severely reduced. Millions of people have been infected and unfortunately countless numbers have also lost their lives. This which quickly crossed the borders of countries, proved how much a not-so-deadly infectious disease can affect human life. Another point that was revealed was the importance of epidemiology knowledge. Since the beginning of the outbreak of this disease, scientists in this field have tried to predict the state of the disease in the coming days by presenting models. Many countries formed special working groups to...
Exact Solution of Generalized Cooperative SIR Dynamics
, M.Sc. Thesis Sharif University of Technology ; Moghimi Araghi, Saman (Supervisor) ; Ghanbarnejad, Fakhteh (Co-Supervisor)
Abstract
Epidemics are one of the most important issues in social environments, economics systems, medicine, and other environments. In the study of the epidemics, some behaviors have been observed that are very similar to the phase transition in critical systems. For example, by changing the parameters that the epidemics process is characterized, the system’s epidemic behavior changes. Depending on the type of problem, this behavior change may be similar to continuous or discontinuous phase transitions. One of the fascinating issues that have just been taken into consideration in this area is the cooperation of two or more diseases. This means that the rate of transmission of a disease depends on...
A new immunization algorithm based on spectral properties for complex networks
, Article 2015 7th Conference on Information and Knowledge Technology, IKT 2015, 26 May 2015 through 28 May 2015 ; May , 2015 , Page(s): 1 - 5 ; 9781467374859 (ISBN) ; Khansari, M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2015
Abstract
Nowadays, we are facing epidemic spreading in many different areas; examples are infection propagation, rumor spreading and computer viruses in computer networks. Finding a strategy to control and mitigate the spread of these epidemics is gaining much interest in recent researches. Due to limitation of immunization resources, it is important to establish a strategy for selecting nodes which has the most effect in mitigating epidemics. In this paper, we propose a new algorithm that minimizes the worst expected growth of an epidemic by reducing the size of the largest connected component of the underlying contact network. The proposed algorithm is applicable to any level of available resources...
Control of diseases epidemic spreading through metapopulation models
, Article International Journal of Control Theory and Applications ; Volume 8, Issue 2 , 2015 , Pages 769-784 ; 09745572 (ISSN) ; Razvan, M. R ; Sharif University of Technology
International Sciences Press
2015
Abstract
We study a system of ordinary differential equations which describes the metapopulation SIR model. The main target is to control the epidemic spreading using the structure of connections between cities. For this purpose, we formulate optimal control strategy that the control represents a drug treatment and Prevention strategies . Some methods are given in numerical example section such as control through spectral radius of movement matrix or optimal control through travelling between cities. Existence results for the optimal control are studied
An opportunistic network approach towards disease spreading
, Article 6th International Conference on Complex Networks and Their Applications, Complex Networks 2017, 29 November 2017 through 1 December 2017 ; Volume 689 , November , 2018 , Pages 314-325 ; 1860949X (ISSN) ; 9783319721491 (ISBN) ; Khansari, M ; Kaveh, A ; Sharif University of Technology
Springer Verlag
2018
Abstract
Research in modeling epidemic spreading in static networks has reached maturity in recent years. On the contrary, disease spreading in dynamic networks can be considered as an important open issue. Hence, mapping dynamic interactions of crowds to a static network and then immunizing the resulting network is the subject of this paper. In this work, we analogize spreading of diseases in dynamic networks -based on dynamic interactions- to message delivery in opportunistic networks. Thus, different diseases which have different spreading behaviors could be simulated by specific routing protocols. Having used interactions among individuals in the utilized dataset, the resulting network is...
Interplay between competitive and cooperative interactions in a three-player pathogen system
, Article Royal Society Open Science ; Volume 7, Issue 1 , 2020 ; Ghanbarnejad, F ; Hövel, P ; Poletto, C ; Sharif University of Technology
Royal Society Publishing
2020
Abstract
In ecological systems, heterogeneous interactions between pathogens take place simultaneously. This occurs, for instance, when two pathogens cooperate, while at the same time, multiple strains of these pathogens co-circulate and compete. Notable examples include the cooperation of human immunodeficiency virus with antibiotic-resistant and susceptible strains of tuberculosis or some respiratory infections with Streptococcus pneumoniae strains. Models focusing on competition or cooperation separately fail to describe how these concurrent interactions shape the epidemiology of such diseases. We studied this problem considering two cooperating pathogens, where one pathogen is further structured...