SEEM: A simulation platform for modeling of infectious disease spreading

2015 ◽  
Author(s):  
Thai Quang Tung ◽  
Youngmahn Han ◽  
Insung Ahn
2008 ◽  
Vol 45 (2) ◽  
pp. 498-512 ◽  
Author(s):  
Joel C. Miller

We consider an infectious disease spreading along the edges of a network which may have significant clustering. The individuals in the population have heterogeneous infectiousness and/or susceptibility. We define the out-transmissibility of a node to be the marginal probability that it would infect a randomly chosen neighbor given its infectiousness and the distribution of susceptibility. For a given distribution of out-transmissibility, we find the conditions which give the upper (or lower) bounds on the size and probability of an epidemic, under weak assumptions on the transmission properties, but very general assumptions on the network. We find similar bounds for a given distribution of in-transmissibility (the marginal probability of being infected by a neighbor). We also find conditions giving global upper bounds on the size and probability. The distributions leading to these bounds are network independent. In the special case of networks with high girth (locally tree-like), we are able to prove stronger results. In general, the probability and size of epidemics are maximal when the population is homogeneous and minimal when the variance of in- or out-transmissibility is maximal.


2020 ◽  
Vol 5 (3) ◽  
pp. 86-90
Author(s):  
Renata Gerculy ◽  
Camelia Libenciuc ◽  
Nora Rat ◽  
Monica Chitu ◽  
Imre Benedek

AbstractThe novel coronavirus disease first appeared in Wuhan (China) is an infectious disease spreading throughout the world, causing life-threatening conditions in vulnerable or even healthy individuals. The great impact of this virus on healthcare urges physicians to investigate all aspects of the disease in order to overcome its complications. A particularly investigated aspect of the SARS-CoV-2 infection is represented by the coagulation disorders among infected and critically ill patients. Several studies observed modified blood coagulation parameters such as D-dimers, fibrinogen, and coagulation times. Moreover, the severe thrombotic complications, mainly pulmonary embolism, could be responsible for the high mortality and poorer outcomes of COVID-19 infected patients. The aim of this article is to present the current knowledge related to thrombosis predisposition in patients infected with the new coronavirus.


2018 ◽  
Vol 3 (3) ◽  

Introduction: Leptospirosis is an acute infectious disease caused by pathogenic Leptospira. Spread in a variety of ways, though the digestive tract infection is the main route of infection. As the disease pathogen final position in the kidney, the urine has an important role in the proliferation of the disease spreading [1]. Purpose: The purpose of this study was to show if leptospirosis can be treated without any kind of medication. The methodology used was the presentation of one case report of a woman presenting three days of generalized pain all over her body, especially in her muscles, mainly the calves of her legs, fever, headache and trembling. A blood exam was asked, as well as serology and acupuncture to relieve her symptoms. Findings: she recovered very well after five sessions of Acupuncture once a day. A month later, she came back with the results of her serology: it was positive leptospirosis. Conclusion: In this case, leptospirosis was cured without the use any kind of medication, being acupuncture a good therapeutic option, reducing the necessity of the patient’s admittance into a hospital, minimizing the costs of the treatmentand restoring the patient to a normal life very quickly


2007 ◽  
Vol 4 (17) ◽  
pp. 1103-1106 ◽  
Author(s):  
P.J Dodd ◽  
N.M Ferguson

We argue that the large-dimensional dynamical systems which frequently occur in biological models can sometimes be effectively reduced to much smaller ones. We illustrate this by applying projection operator techniques to a mean-field model of an infectious disease spreading through a population of households. In this way, we are able to accurately approximate the dynamics of the system in terms of a few key quantities greatly reducing the number of equations required. We investigate linear stability in this framework and find a new way of calculating the familiar threshold criterion for household systems.


2018 ◽  
pp. 3-10 ◽  
Author(s):  
Ana Pastore y Piontti ◽  
Nicola Perra ◽  
Luca Rossi ◽  
Nicole Samay ◽  
Alessandro Vespignani

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