Abstract
Tuberculosis remains one of the world's deadliest infectious diseases. About one-third of the world's population is infected with tuberculosis bacteria. Understanding the dynamics of transmission at different spatial scales is critical to progress in its control. We present an agent-based model for tuberculosis epidemics in Barcelona, which has an observatory on this disease. Our model considers high heterogeneity within the population, including risk factors for developing an active disease, and it tracks the individual behavior once diagnosed. We incorporated the immunodeficiency and smoking/alcoholism, as well as the individual's origin (foreigner or not) for its contagion and infection as risks factors. We implemented the model in Netlogo, a useful tool for interaction with physicians. However, the platform has some computational limitations, and we propose a solution to overcome them.
| Original language | English |
|---|---|
| Title of host publication | 2015 Winter Simulation Conference, WSC 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1295-1306 |
| Number of pages | 12 |
| ISBN (Electronic) | 9781467397438 |
| DOIs | |
| Publication status | Published - 16 Feb 2016 |
| Externally published | Yes |
| Event | Winter Simulation Conference, WSC 2015 - Huntington Beach, United States Duration: 6 Dec 2015 → 9 Dec 2015 |
Publication series
| Name | Proceedings - Winter Simulation Conference |
|---|---|
| Volume | 2016-February |
| ISSN (Print) | 0891-7736 |
Conference
| Conference | Winter Simulation Conference, WSC 2015 |
|---|---|
| Country/Territory | United States |
| City | Huntington Beach |
| Period | 6/12/15 → 9/12/15 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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