Abstract
Global mass gatherings can pose a risk for communicable disease outbreaks. In these events, millions of people gather at a specific location over a specific period of time from different regions of the world. Such settings have the potential to import and/or export infectious diseases to and from the host countries by international participants. Planning and preparing for public health risks at global mass gatherings is a challenging and complex process. Advanced risk assessment tools are important to identify potential disease outbreaks. In this study, we propose a computational epidemic simulation framework to simulate disease transmission from the arrival, to the departure of international participants in the global event of Hajj. Computational simulations of disease spread in global mass gatherings provide public health authorities with powerful tools to assess the implications of these events and to evaluate the efficacy of prevention and control strategies to reduce their potential impacts.
| Original language | English |
|---|---|
| Title of host publication | 2019 Winter Simulation Conference, WSC 2019 |
| Pages | 215-226 |
| Number of pages | 12 |
| ISBN (Electronic) | 9781728132839 |
| DOIs | |
| State | Published - Dec 2019 |
| Event | 2019 Winter Simulation Conference, WSC 2019 - National Harbor, United States Duration: 8 Dec 2019 → 11 Dec 2019 |
Publication series
| Name | Proceedings - Winter Simulation Conference |
|---|---|
| Volume | 2019-December |
| ISSN (Print) | 0891-7736 |
Conference
| Conference | 2019 Winter Simulation Conference, WSC 2019 |
|---|---|
| Country/Territory | United States |
| City | National Harbor |
| Period | 8/12/19 → 11/12/19 |
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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