Effects of Influenza Vaccination in the United States During the 2018–2019 Influenza Season

Author:

Chung Jessie R1,Rolfes Melissa A1,Flannery Brendan1,Prasad Pragati12,O’Halloran Alissa1,Garg Shikha1,Fry Alicia M1,Singleton James A3,Patel Manish1,Reed Carrie1,Kim Sara S,Martin Emily T,Monto Arnold S,Jackson Michael L,Jackson Lisa A,McLean Huong Q,Belongia Edward A,King Jennifer P,Zimmerman Richard K,Nowalk Mary Patricia,Balasubramani G K,Bear Todd M,Hickey Robert,Raviotta Jonathan M,Suyama Joe,Weissman Alexandra J,Williams John V,Gaglani Manjusha,Raiyani Chandni,Smith Michael,Murthy Kempapura,Clipper Lydia,Reis Michael,Rao Arundhati,Walker Kimberly,Volz Marcus,Mutnal Manohar,Cummings Charisse N,Yousey-Hindes Kimberly,McMullen Chelsea,Chai Shua J,Anderson Evan J,Monroe Maya L,Risk Ilene,Herlihy Rachel,Kim Sue,Spina Nancy,Billing Laurie,Schaffner William,Keipp Talbot H,Thomas Ann,McMahon Melissa,

Affiliation:

1. Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA

2. Oak Ridge Institute for Science and Education, Oak Ridge, Tennessee, USA

3. Immunization Services Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA

Abstract

Abstract Background Multivalent influenza vaccine products provide protection against influenza A(H1N1)pdm09, A(H3N2), and B lineage viruses. The 2018–2019 influenza season in the United States included prolonged circulation of A(H1N1)pdm09 viruses well-matched to the vaccine strain and A(H3N2) viruses, the majority of which were mismatched to the vaccine. We estimated the number of vaccine-prevented influenza-associated illnesses, medical visits, hospitalizations, and deaths for the season. Methods We used a mathematical model and Monte Carlo algorithm to estimate numbers and 95% uncertainty intervals (UIs) of influenza-associated outcomes prevented by vaccination in the United States. The model incorporated age-specific estimates of national 2018–2019 influenza vaccine coverage, influenza virus–specific vaccine effectiveness from the US Influenza Vaccine Effectiveness Network, and disease burden estimated from population-based rates of influenza-associated hospitalizations through the Influenza Hospitalization Surveillance Network. Results Influenza vaccination prevented an estimated 4.4 million (95%UI, 3.4 million–7.1 million) illnesses, 2.3 million (95%UI, 1.8 million–3.8 million) medical visits, 58 000 (95%UI, 30 000–156 000) hospitalizations, and 3500 (95%UI, 1000–13 000) deaths due to influenza viruses during the US 2018–2019 influenza season. Vaccination prevented 14% of projected hospitalizations associated with A(H1N1)pdm09 overall and 43% among children aged 6 months–4 years. Conclusions Influenza vaccination averted substantial influenza-associated disease including hospitalizations and deaths in the United States, primarily due to effectiveness against A(H1N1)pdm09. Our findings underscore the value of influenza vaccination, highlighting that vaccines measurably decrease illness and associated healthcare utilization even in a season in which a vaccine component does not match to a circulating virus.

Funder

Emerging Infections Programs

Influenza Hospital Surveillance Project

University of Michigan

Kaiser Permanente Washington Research Institute

Marshfield Clinic Research Institute

University of Pittsburgh

Baylor Scott and White Healthcare

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Microbiology (medical)

Reference43 articles.

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