AI Article Synopsis
- - The University of Pittsburgh's MIDAS team created a computer simulation model to help the Department of Health and Human Services during the 2009 H1N1 pandemic regarding vaccine allocation strategies.
- - The simulation compared two vaccination policies: prioritizing children, who are high transmitters, versus the recommended approach of prioritizing at-risk individuals.
- - The study concluded that following the ACIP's recommendation for at-risk individuals was better when vaccines were limited, but children should still be given the highest priority within that group.
Article Abstract
In the fall 2009, the University of Pittsburgh Models of Infectious Disease Agent Study (MIDAS) team employed an agent-based computer simulation model (ABM) of the greater Washington, DC, metropolitan region to assist the Office of the Assistant Secretary of Public Preparedness and Response, Department of Health and Human Services, to address several key questions regarding vaccine allocation during the 2009 H1N1 influenza pandemic, including comparing a vaccinating children (i.e., highest transmitters)-first policy versus the Advisory Committee on Immunization Practices (ACIP)-recommended vaccinating at-risk individuals-first policy. Our study supported adherence to the ACIP (instead of a children-first policy) prioritization recommendations for the H1N1 influenza vaccine when vaccine is in limited supply and that within the ACIP groups, children should receive highest priority.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2906666 | PMC |
| http://dx.doi.org/10.1016/j.vaccine.2010.05.002 | DOI Listing |
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