Abstract
Vaccination is an effective way to control infectious disease spreading and epidemic by adjusting the composite structure of susceptible, infectious and vaccinated populations. There are three factors related to vaccine deployment arrangements; they are: (1) total amount of vaccine, (2) vaccine releasing time, and (3) vaccine distribution method. Yet the impact of these factors still remains to be systematically understood. In our study, we further develop a modified compartmental model that incorporates five age grouped populations and a survey-based contact matrix. We study this model with current H1N1 influenza parameters. The developed infection equations for each age community enable us to simulate both within- and between-group epidemic transmission dynamics. By simulating the infection dynamics under different vaccine deployment schedules, we discuss the impact of deployment factors on epidemic spreading dynamics.
| Original language | English |
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| Title of host publication | IHI'10 - Proceedings of the 1st ACM International Health Informatics Symposium |
| Pages | 91-99 |
| Number of pages | 9 |
| DOIs | |
| Publication status | Published - 2010 |
| Event | 1st ACM International Health Informatics Symposium, IHI'10 - Arlington, VA, United States Duration: 11 Nov 2010 → 12 Nov 2010 |
Publication series
| Name | IHI'10 - Proceedings of the 1st ACM International Health Informatics Symposium |
|---|
Conference
| Conference | 1st ACM International Health Informatics Symposium, IHI'10 |
|---|---|
| Country/Territory | United States |
| City | Arlington, VA |
| Period | 11/11/10 → 12/11/10 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
User-Defined Keywords
- disease infection
- epidemic spreading dynamics
- vaccine deployment
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