Published May 2006 | Version v1
Journal article

The SIS Model for Assessment of Epidemic Control in a Social Network

  • 1. Central Institute for Labour Protection - National Research Institute, Czerniakowska 16, 00-701 Warsaw (Poland)
  • 2. National Institute of Hygiene, National Center for Disease Prevention and Control, Chocimska 24, 00-791 Warsaw (Poland)

Description

The phenomenon of epidemic spreading in a population with a hierarchical structure of interpersonal interactions is described and investigated numerically. The SIS model with incubation time and temporal immunity to a disease, is used. In our model location in social structure, effectiveness of different types of interactions and mobility of contemporary communities are taken into account. The influence of control measures on the spreading process is investigated as a function of initial conditions. The cost-effectiveness of mass immunizations campaigns, target vaccinations and the sick leaves is compared. A critical vaccinations coverage, sufficient for suppressing an epidemic as well as the probability that endemic state occurs, are calculated. The results of numerical calculations are similar to the solutions of the master equation for the spreading process. (author)

Availability note (English)

Also available at http://th-www.if.uj.edu.pl/acta/

Additional details

Additional titles

Augmented title (English)
PACS numbers: 05.40.-a, 87.10.+e, 89.75.-k

Publishing Information

Journal Title
Acta Physica Polonica. Series B
Journal Volume
B37
Journal Issue
5
Journal Page Range
p. 1521-1535
ISSN
0587-4254

Conference

Title
18 Marian Smoluchowski Symposium on Statistical Physics
Dates
3-6 Sep 2005
Place
Zakopane (Poland)

INIS

Country of Publication
Poland
Country of Input or Organization
Poland
INIS RN
37056984
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; S60: APPLIED LIFE SCIENCES;
Resource subtype / Literary indicator
Conference
Descriptors DEI
DISEASES; HUMAN POPULATIONS; MOBILITY; STATISTICAL MODELS; TIME DEPENDENCE; VACCINES
Descriptors DEC
MATHEMATICAL MODELS; POPULATIONS

Optional Information

Notes
28 refs., 8 figs.