BACKGROUND Hemodynamic status and cardiac function are important factors for predicting pulmonary embolism (PE) prognosis. Although inflammation is considered a risk factor for deep vein thrombosis, the prognostic significance of both systemic inflammatory response syndrome (SIRS) and leukocytosis has not been elucidated. This study evaluates PE prognostic factors, including SIRS and leukocytes...

BACKGROUND The evidence saying that the rate of Systemic Inflammatory Response Syndrome (SIRS) is high in patients with advanced cirrhosis and portal hypertension, this could have negative outcome on patients prognosis. METHODS This prospective study included 109 cirrhotic patients who were admitted to Imam Khomeini Hospital, affiliated with Orumieh University of Medical Sciences, during 2011...

Epidemic processes are common out-of-equilibrium phenomena of broad interdisciplinary interest. Recently, dynamic message-passing (DMP) has been proposed as an efficient algorithm for simulating epidemic models on networks, and in particular for estimating the probability that a given node will become infectious at a particular time. To date, DMP has been applied exclusively to models with one-...

Traditional epidemic models consider that individual processes occur at constant rates. That is, an infected individual has a constant probability per unit time of recovering from infection after contagion. This assumption certainly fails for almost all infectious diseases, in which the infection time usually follows a probability distribution more or less spread around a mean value. We show a ...

We study non-Markovian stochastic epidemic models (SIS, SIR, SIRS, and SEIR), in which the infectious (and latent/exposing, immune) periods have a general distribution. provide representation of evolution dynamics using time epochs infection latency/exposure, immunity). Taking limit as size population tends to infinity, we prove both functional law large number (FLLN) central theorem (FCLT) for...

We study the spread of discrete-time epidemics over arbitrary networks for well-known propagation models, namely SIS (susceptible-infected-susceptible), SIR (susceptible-infected-recovered), SIRS (susceptible-infected-recovered-susceptible) and SIV (susceptible-infected-vaccinated). Such epidemics are described by 2nor 3n-state Markov chains. Ostensibly, because analyzing such Markov chains is ...

Deployment of limited resources is an issue of major importance for decision-making in crisis events. This is especially true for large-scale outbreaks of infectious diseases. Little is known when it comes to identifying the most efficient way of deploying scarce resources for control when disease outbreaks occur in different but interconnected regions. The policy maker is frequently faced with...

Sepsis describes a complex clinical syndrome that results from the host inability to regulate the inflammatory response against infection. Despite more than 20 years of extensive study, sepsis and excessive systemic inflammatory response syndrome (SIRS) are still the leading cause of death in intensive care units. The clinical study of sepsis and new therapeutics remains challenging due to the ...

We present a deterministic mathematical model for malaria transmission with waning immunity. The model consists of five non-linear system of differential equations. We used next generation matrix to derive the basic reproduction number R0. The disease free equilibrium was computed and its local stability has been shown by the virtue of the Jacobean matrix. Moreover, using Lyapunov function theo...