| Title |
School‐Based Influenza Vaccination: Health and Economic Impact of Maine's 2009 Influenza Vaccination Program
|
|---|---|
| Published in |
Health Services Research, November 2017
|
| DOI | 10.1111/1475-6773.12786 |
| Pubmed ID | |
| Authors |
Ricardo Basurto‐Dávila, Martin I. Meltzer, Dora A. Mills, Garrett R. Beeler Asay, Bo‐Hyun Cho, Samuel B. Graitcer, Nancy L. Dube, Mark G. Thompson, Suchita A. Patel, Samuel K. Peasah, Jill M. Ferdinands, Paul Gargiullo, Mark Messonnier, David K. Shay |
| Abstract |
To estimate the societal economic and health impacts of Maine's school-based influenza vaccination (SIV) program during the 2009 A(H1N1) influenza pandemic. Primary and secondary data covering the 2008-09 and 2009-10 influenza seasons. We estimated weekly monovalent influenza vaccine uptake in Maine and 15 other states, using difference-in-difference-in-differences analysis to assess the program's impact on immunization among six age groups. We also developed a health and economic Markov microsimulation model and conducted Monte Carlo sensitivity analysis. We used national survey data to estimate the impact of the SIV program on vaccine coverage. We used primary data and published studies to develop the microsimulation model. The program was associated with higher immunization among children and lower immunization among adults aged 18-49 years and 65 and older. The program prevented 4,600 influenza infections and generated $4.9 million in net economic benefits. Cost savings from lower adult vaccination accounted for 54 percent of the economic gain. Economic benefits were positive in 98 percent of Monte Carlo simulations. SIV may be a cost-beneficial approach to increase immunization during pandemics, but programs should be designed to prevent lower immunization among nontargeted groups. |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 63 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 17% |
| Student > Bachelor | 10 | 16% |
| Student > Ph. D. Student | 10 | 16% |
| Researcher | 8 | 13% |
| Student > Doctoral Student | 3 | 5% |
| Other | 4 | 6% |
| Unknown | 17 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 17% |
| Nursing and Health Professions | 8 | 13% |
| Economics, Econometrics and Finance | 5 | 8% |
| Social Sciences | 4 | 6% |
| Business, Management and Accounting | 3 | 5% |
| Other | 10 | 16% |
| Unknown | 22 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 July 2021.
All research outputs
#4,592,736
of 24,417,958 outputs
Outputs from Health Services Research
#1,132
of 2,454 outputs
Outputs of similar age
#81,054
of 330,659 outputs
Outputs of similar age from Health Services Research
#15
of 33 outputs
Altmetric has tracked 24,417,958 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.