Title |
Potential Consequences of Not Using Live Attenuated Influenza Vaccine
|
---|---|
Published in |
American Journal of Preventive Medicine, April 2017
|
DOI | 10.1016/j.amepre.2017.02.019 |
Pubmed ID | |
Authors |
Kenneth J. Smith, Mary Patricia Nowalk, Angela Wateska, Shawn T. Brown, Jay V. DePasse, Jonathan M. Raviotta, Eunha Shim, Richard K. Zimmerman |
Abstract |
Decreased live attenuated influenza vaccine (LAIV) effectiveness in the U.S. prompted the Advisory Committee on Immunization Practices in August 2016 to recommend against this vaccine's use. However, overall influenza uptake increases when LAIV is available and, unlike the U.S., LAIV has retained its effectiveness in other countries. These opposing countercurrents create a dilemma. To examine the potential consequences of the decision to not recommend LAIV, which may result in decreased influenza vaccination coverage in the U.S. population, a Markov decision analysis model was used to examine influenza vaccination options in U.S. children aged 2-8 years. Data were compiled and analyzed in 2016. Using recently observed low LAIV effectiveness values, fewer influenza cases will occur if LAIV is not used compared with having LAIV as a vaccine option. However, having the option to use LAIV may be favored if LAIV effectiveness returns to prior levels or if the absence of vaccine choice substantially decreases overall vaccine uptake. Continued surveillance of LAIV effectiveness and influenza vaccine uptake is warranted, given their importance in influenza vaccination policy decisions. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Ireland | 1 | 25% |
United States | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 17 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 29% |
Student > Bachelor | 4 | 24% |
Researcher | 2 | 12% |
Professor | 1 | 6% |
Student > Master | 1 | 6% |
Other | 1 | 6% |
Unknown | 3 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 5 | 29% |
Computer Science | 2 | 12% |
Agricultural and Biological Sciences | 1 | 6% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 6% |
Immunology and Microbiology | 1 | 6% |
Other | 1 | 6% |
Unknown | 6 | 35% |