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Tenforde MW, Weber ZA, Yang DH, DeSilva MB, Dascomb K, Irving SA, Naleway AL, Gaglani M, Fireman B, Lewis N, Zerbo O, Goddard K, Timbol J, Hansen JR, Grisel N, Arndorfer J, McEvoy CE, Essien IJ, Rao S, Grannis SJ, Kharbanda AB, Natarajan K, Ong TC, Embi PJ, Ball SW, Dunne MM, Kirshner L, Wiegand RE, Dickerson M, Patel P, Ray C, Flannery B, Garg S, Adams K, Klein NP. Influenza Vaccine Effectiveness Against Influenza A-Associated Emergency Department, Urgent Care, and Hospitalization Encounters Among US Adults, 2022-2023. J Infect Dis 2024; 230:141-151. [PMID: 39052725 PMCID: PMC11306194 DOI: 10.1093/infdis/jiad542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 11/08/2023] [Accepted: 11/29/2023] [Indexed: 12/04/2023] Open
Abstract
BACKGROUND The 2022-2023 United States influenza season had unusually early influenza activity with high hospitalization rates. Vaccine-matched A(H3N2) viruses predominated, with lower levels of A(H1N1)pdm09 activity also observed. METHODS Using the test-negative design, we evaluated influenza vaccine effectiveness (VE) during the 2022-2023 season against influenza A-associated emergency department/urgent care (ED/UC) visits and hospitalizations from October 2022 to March 2023 among adults (aged ≥18 years) with acute respiratory illness (ARI). VE was estimated by comparing odds of seasonal influenza vaccination among case-patients (influenza A test positive by molecular assay) and controls (influenza test negative), applying inverse-propensity-to-be-vaccinated weights. RESULTS The analysis included 85 389 ED/UC ARI encounters (17.0% influenza A positive; 37.8% vaccinated overall) and 19 751 hospitalizations (9.5% influenza A positive; 52.8% vaccinated overall). VE against influenza A-associated ED/UC encounters was 44% (95% confidence interval [CI], 40%-47%) overall and 45% and 41% among adults aged 18-64 and ≥65 years, respectively. VE against influenza A-associated hospitalizations was 35% (95% CI, 27%-43%) overall and 23% and 41% among adults aged 18-64 and ≥65 years, respectively. CONCLUSIONS VE was moderate during the 2022-2023 influenza season, a season characterized with increased burden of influenza and co-circulation with other respiratory viruses. Vaccination is likely to substantially reduce morbidity, mortality, and strain on healthcare resources.
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Affiliation(s)
- Mark W. Tenforde
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Duck-Hye Yang
- Department of Clinical Resarch, Westat, Rockville, Maryland
| | - Malini B. DeSilva
- Department of Research, HealthPartners Institute, Minneapolis, Minnesota
| | - Kristin Dascomb
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah
| | - Stephanie A. Irving
- Department of Science Programs, Kaiser Permanente Center for Health Research, Portland, Oregon
| | - Allison L. Naleway
- Department of Science Programs, Kaiser Permanente Center for Health Research, Portland, Oregon
| | - Manjusha Gaglani
- Section of Pediatric Infectious Diseases, Department of Pediatrics, Baylor Scott & White Health and Baylor College of Medicine, Temple, Texas
- Department of Medical Education, Texas A&M University College of Medicine, Temple, Texas
| | - Bruce Fireman
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California
| | - Ned Lewis
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California
| | - Ousseny Zerbo
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California
| | - Kristin Goddard
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California
| | - Julius Timbol
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California
| | - John R. Hansen
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California
| | - Nancy Grisel
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah
| | - Julie Arndorfer
- Division of Infectious Diseases and Clinical Epidemiology, Intermountain Healthcare, Salt Lake City, Utah
| | - Charlene E. McEvoy
- Department of Research, HealthPartners Institute, Minneapolis, Minnesota
| | - Inih J. Essien
- Department of Research, HealthPartners Institute, Minneapolis, Minnesota
| | - Suchitra Rao
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Shaun J. Grannis
- Center for Biomedical Informatics, Regenstrief Institute, Indianapolis, Indiana
- School of Medicine, Indiana University, Indianapolis, Indiana
| | - Anupam B. Kharbanda
- Department of Pediatric Emergency Medicine, Children’s Minnesota, Minneapolis, Minnesota
| | - Karthik Natarajan
- Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York
- Medical Informatics Services, NewYork-Presbyterian Hospital, New York, New York
| | - Toan C. Ong
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Peter J. Embi
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Sarah W. Ball
- Department of Clinical Resarch, Westat, Rockville, Maryland
| | | | | | - Ryan E. Wiegand
- Coronavirus and other Respiratory Viruses Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Monica Dickerson
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Palak Patel
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Caitlin Ray
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Brendan Flannery
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Shikha Garg
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Katherine Adams
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Nicola P. Klein
- Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California
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Wang Q, Yang L, Xiu S, Shen Y, Jin H, Lin L. A Prediction Model for Identifying Seasonal Influenza Vaccination Uptake Among Children in Wuxi, China: Prospective Observational Study. JMIR Public Health Surveill 2024; 10:e56064. [PMID: 38885032 PMCID: PMC11217706 DOI: 10.2196/56064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 05/07/2024] [Accepted: 05/15/2024] [Indexed: 06/18/2024] Open
Abstract
BACKGROUND Predicting vaccination behaviors accurately could provide insights for health care professionals to develop targeted interventions. OBJECTIVE The aim of this study was to develop predictive models for influenza vaccination behavior among children in China. METHODS We obtained data from a prospective observational study in Wuxi, eastern China. The predicted outcome was individual-level vaccine uptake and covariates included sociodemographics of the child and parent, parental vaccine hesitancy, perceptions of convenience to the clinic, satisfaction with clinic services, and willingness to vaccinate. Bayesian networks, logistic regression, least absolute shrinkage and selection operator (LASSO) regression, support vector machine (SVM), naive Bayes (NB), random forest (RF), and decision tree classifiers were used to construct prediction models. Various performance metrics, including area under the receiver operating characteristic curve (AUC), were used to evaluate the predictive performance of the different models. Receiver operating characteristic curves and calibration plots were used to assess model performance. RESULTS A total of 2383 participants were included in the study; 83.2% of these children (n=1982) were <5 years old and 6.6% (n=158) had previously received an influenza vaccine. More than half (1356/2383, 56.9%) the parents indicated a willingness to vaccinate their child against influenza. Among the 2383 children, 26.3% (n=627) received influenza vaccination during the 2020-2021 season. Within the training set, the RF model showed the best performance across all metrics. In the validation set, the logistic regression model and NB model had the highest AUC values; the SVM model had the highest precision; the NB model had the highest recall; and the logistic regression model had the highest accuracy, F1 score, and Cohen κ value. The LASSO and logistic regression models were well-calibrated. CONCLUSIONS The developed prediction model can be used to quantify the uptake of seasonal influenza vaccination for children in China. The stepwise logistic regression model may be better suited for prediction purposes.
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Affiliation(s)
- Qiang Wang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China
| | - Liuqing Yang
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China
| | - Shixin Xiu
- Department of Immunization, Affiliated Wuxi Center for Disease Control and Prevention of Nanjing Medical University, Wuxi Center for Disease Control and Prevention, Wuxi, China
| | - Yuan Shen
- Department of Immunization, Affiliated Wuxi Center for Disease Control and Prevention of Nanjing Medical University, Wuxi Center for Disease Control and Prevention, Wuxi, China
| | - Hui Jin
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China
| | - Leesa Lin
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong Special Administrative Region, China
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
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Anoma S, Bhattarakosol P, Kowitdamrong E. Characteristics and evolution of hemagglutinin and neuraminidase genes of Influenza A(H3N2) viruses in Thailand during 2015 to 2018. PeerJ 2024; 12:e17523. [PMID: 38846750 PMCID: PMC11155671 DOI: 10.7717/peerj.17523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Accepted: 05/16/2024] [Indexed: 06/09/2024] Open
Abstract
Background Influenza A(H3N2) virus evolves continuously. Its hemagglutinin (HA) and neuraminidase (NA) genes have high genetic variation due to the antigenic drift. This study aimed to investigate the characteristics and evolution of HA and NA genes of the influenza A(H3N2) virus in Thailand. Methods Influenza A positive respiratory samples from 2015 to 2018 were subtyped by multiplex real-time RT-PCR. Full-length HA and NA genes from the positive samples of influenza A(H3N2) were amplified and sequenced. Phylogenetic analysis with the maximum likelihood method was used to investigate the evolution of the virus compared with the WHO-recommended influenza vaccine strain. Homology modeling and N-glycosylation site prediction were also performed. Results Out of 443 samples, 147 (33.18%) were A(H1N1)pdm09 and 296 (66.82%) were A(H3N2). The A(H3N2) viruses circulating in 2015 were clade 3C.2a whereas sub-clade 3C.2a1 and 3C.2a2 dominated in 2016-2017 and 2018, respectively. Amino acid substitutions were found in all antigenic sites A, B, C, D, and E of HA but the majority of the substitutions were located at antigenic sites A and B. The S245N and N329S substitutions in the NA gene affect the N-glycosylation. None of the mutations associated with resistance to NA inhibitors were observed. Mean evolutionary rates of the HA and NA genes were 3.47 × 10 -3 and 2.98 × 10-3 substitutions per site per year. Conclusion The influenza A(H3N2) virus is very genetically diverse and is always evolving to evade host defenses. The HA and NA gene features including the evolutionary rate of the influenza A(H3N2) viruses that were circulating in Thailand between 2015 and 2018 are described. This information is useful for monitoring the genetic characteristics and evolution in HA and NA genes of influenza A(H3N2) virus in Thailand which is crucial for predicting the influenza vaccine strains resulting in high vaccine effectiveness.
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Affiliation(s)
- Sasiprapa Anoma
- Interdisciplinary Program in Medical Microbiology, Graduated School, Chulalongkorn University, Bangkok, Thailand
- Center of Excellence in Applied Medical Virology, Department of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Parvapan Bhattarakosol
- Center of Excellence in Applied Medical Virology, Department of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Division of Virology, Department of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Ekasit Kowitdamrong
- Center of Excellence in Applied Medical Virology, Department of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Division of Virology, Department of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
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AlBahrani S, AlZahrani SJ, Al-Maqati TN, Almehbash A, Alshammari A, Bujlai R, Ba Taweel S, Almasabi F, AlAmari A, Al-Tawfiq JA. Dynamic Patterns and Predominance of Respiratory Pathogens Post-COVID-19: Insights from a Two-Year Analysis. J Epidemiol Glob Health 2024; 14:311-318. [PMID: 38589755 PMCID: PMC11176149 DOI: 10.1007/s44197-024-00213-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 02/22/2024] [Indexed: 04/10/2024] Open
Abstract
INTRODUCTION Respiratory tract infections (RTIs) stand out as the most frequent causes leading to visits to the emergency department and hospitalizations. This study aims to assess the types and prevalence of respiratory infections across two years following the end of the COVID-19 pandemic. METHODS Patients presenting with an influenza-like illness (ILI) were tested using multiplex RT-PCR (QIAstat-Dx, Qiagen). The multiplexed RT- PCR test detects 21 respiratory viruses and bacteria. RESULTS During the study period, PCR test was done on a total of 1,790 samples were tested, and 712 (40%) were positive for a total of 796 pathogens. The mean age (± SD) of the participants was 20.1 ± 28.4 years in 2022 and 21.9 ± 27.6 years in 2023. Among the detected pathogens, the most prevalent were Rhinovirus/Enterovirus 222 (12.4%), followed by RSV A&B (103 cases, 5.7%), and H1N1 Influenza (77 cases, 4.3%). Additionally, Influenza A/B constituted 172 (9.6%) while parainfluenza constituted (58, 3.2%). SARS-CoV-2 was identified in 3.97% of the samples. Over the two-year period, the monthly pattern of the identified pathogens exhibited fluctuations in the prevalence. Furthermore, variations were observed in the detected pathogens across different age groups. CONCLUSION In addition to adding significant knowledge to the field of respiratory viral infections, this study emphasizes the necessity of ongoing research and surveillance for the detection and characterization of respiratory viruses, particularly those with the potential for emergence. Such studies would also require setting up a strategy for genotyping and/or sequencing of viruses.
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Affiliation(s)
- Salma AlBahrani
- Infectious Disease Unit, Specialty Internal Medicine, King Fahd Military Medical Complex, Dhahran, Saudi Arabia
- College of medicine-Imam Abdulrahaman Bin Faisal University, Dammam, Saudi Arabia
| | | | - Thekra N Al-Maqati
- Department of Clinical laboratory Science, Prince Sultan Military College of health science, Dammam, Saudi Arabia
| | - Atheer Almehbash
- Molecular laboratory department, King Fahd Military Medical Complex, Dhahran, Saudi Arabia
| | - Anfal Alshammari
- Molecular laboratory department, King Fahd Military Medical Complex, Dhahran, Saudi Arabia
| | - Refan Bujlai
- Molecular laboratory department, King Fahd Military Medical Complex, Dhahran, Saudi Arabia
| | - Sarah Ba Taweel
- Molecular laboratory department, King Fahd Military Medical Complex, Dhahran, Saudi Arabia
| | - Fares Almasabi
- Radiology Department, Armed Forces Hospital Najran, Najran, Saudi Arabia
| | - Abdullah AlAmari
- Department of pharmacy, King Fahd Military Medical Complex, Dhahran, Saudi Arabia
| | - Jaffar A Al-Tawfiq
- Infectious Disease Unit, Specialty Internal Medicine, Johns Hopkins Aramco Healthcare, Dhahran, 31311, Saudi Arabia.
- Infectious Disease Division, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA.
- Infectious Disease Division, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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Cowling BJ, Wong SS, Santos JJS, Touyon L, Ort J, Ye N, Kwok NKM, Ho F, Cheng SMS, Ip DKM, Peiris M, Webby RJ, Wilson PC, Valkenburg SA, Tsang JS, Leung NHL, Hensley SE, Cobey S. Preliminary findings from the Dynamics of the Immune Responses to Repeat Influenza Vaccination Exposures (DRIVE I) Study: a Randomized Controlled Trial. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.16.24307455. [PMID: 38798684 PMCID: PMC11118649 DOI: 10.1101/2024.05.16.24307455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Background Studies have reported that repeated annual vaccination may influence the effectiveness of the influenza vaccination in the current season. The mechanisms underlying these differences are unclear but might include "focusing" of the adaptive immune response to older strains. Methods We established a 5-year randomized placebo-controlled trial of repeated influenza vaccination (Flublok, Sanofi Pasteur) in adults 18-45 years of age. Participants were randomized equally between five groups, with planned annual receipt of vaccination (V) or saline placebo (P) as follows: P-P-P-P-V, P-P-P-V-V, P-P-V-V-V, P-V-V-V-V, or V-V-V-VV. Serum samples were collected each year just before vaccination and after 30 and 182 days. A subset of sera were tested by hemagglutination inhibition assays, focus reduction neutralization tests and enzyme-linked immunosorbent assays against vaccine strains. Results From 23 October 2020 through 11 March 2021 we enrolled and randomized 447 adults. We selected sera from 95 participants at five timepoints from the first two study years for testing. Among vaccinated individuals, antibody titers increased between days 0 and 30 against each of the vaccine strains, with substantial increases for first-time vaccinees and smaller increases for repeat vaccinees, who had higher pre-vaccination titers in year 2. There were statistically significant reductions in the proportion of participants achieving a four-fold greater rise in antibody titer for the repeat vaccinees for A(H1N1), B/Victoria and B/Yamagata, but not for influenza A(H3N2). There were no statistically significant differences between groups in geometric mean titers at day 30 or the proportions of participants with antibody titers ≥40 at day 30 for any of the vaccine strains. Conclusions In the first two years, repeat vaccinees and first-time vaccinees had similar post-vaccination geometric mean titers to all four vaccine strains, indicative of similar levels of clinical protection. The vaccine strains of A(H1N1) and A(H3N2) were updated in year 2, providing an opportunity to explore antigenic distances between those strains in humans in subsequent years.
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Affiliation(s)
- Benjamin J. Cowling
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
- Laboratory of Data Discovery for Health Limited, Hong Kong Science and Technology Park, New Territories, Hong Kong Special Administrative Region, China
| | - Sook-San Wong
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
- HKU-Pasteur Research Pole, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Jefferson J. S. Santos
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
| | - Lisa Touyon
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
- HKU-Pasteur Research Pole, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Jordan Ort
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
| | - Naiqing Ye
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
| | - Natalie K. M. Kwok
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Faith Ho
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Samuel M. S. Cheng
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Dennis K. M. Ip
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Malik Peiris
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Richard J. Webby
- Department of Infectious Diseases, St. Jude Children’s Research Hospital, Memphis, TN 38105
| | - Patrick C. Wilson
- Gale and Ira Drukier Institute for Children’s Health, Weill Cornell Medicine, New York, NY 10021
| | - Sophie A. Valkenburg
- HKU-Pasteur Research Pole, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Australia
| | - John S. Tsang
- Yale Center for Systems and Engineering Immunology and Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06520
| | - Nancy H. L. Leung
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
- Laboratory of Data Discovery for Health Limited, Hong Kong Science and Technology Park, New Territories, Hong Kong Special Administrative Region, China
| | - Scott E. Hensley
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104
| | - Sarah Cobey
- Department of Ecology and Evolution, University of Chicago, Chicago, IL 60637
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Hunold KM, Rozycki E, Brummel N. Optimizing Diagnosis and Management of Community-acquired Pneumonia in the Emergency Department. Emerg Med Clin North Am 2024; 42:231-247. [PMID: 38641389 PMCID: PMC11212456 DOI: 10.1016/j.emc.2024.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/21/2024]
Abstract
Pneumonia is split into 3 diagnostic categories: community-acquired pneumonia (CAP), health care-associated pneumonia, and ventilator-associated pneumonia. This classification scheme is driven not only by the location of infection onset but also by the predominant associated causal microorganisms. Pneumonia is diagnosed in over 1.5 million US emergency department visits annually (1.2% of all visits), and most pneumonia diagnosed by emergency physicians is CAP.
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Affiliation(s)
- Katherine M Hunold
- Department of Emergency Medicine, The Ohio State University, 376 W 10th Avenue, 760 Prior Hall, Columbus, OH 43220, USA.
| | - Elizabeth Rozycki
- Emergency Medicine, Department of Pharmacy, The Ohio State University, 376 W 10th Avenue, 760 Prior Hall, Columbus, OH 43220, USA
| | - Nathan Brummel
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Internal Medicine, The Ohio State University, 376 W 10th Avenue, 760 Prior Hall, Columbus, OH 43220, USA
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7
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Newall AT, Nazareno AL, Muscatello DJ, Boettiger D, Viboud C, Simonsen L, Turner RM. The association between influenza vaccination uptake and influenza and pneumonia-associated deaths in the United States. Vaccine 2024; 42:2044-2050. [PMID: 38403498 DOI: 10.1016/j.vaccine.2024.01.089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 01/25/2024] [Accepted: 01/25/2024] [Indexed: 02/27/2024]
Abstract
BACKGROUND The influenza mortality burden has remained substantial in the United States (US) despite relatively high levels of influenza vaccine uptake. This has led to questions regarding the effectiveness of the program against this outcome, particularly in the elderly. The aim of this evaluation was to develop and explore a new approach to estimating the population-level effect of influenza vaccination uptake on pneumonia and influenza (P&I) associated deaths. METHODS Using publicly available data we examined the association between state-level influenza vaccination and all-age P&I associated deaths in the US from the 2013-2014 influenza season to the 2018-2019 season. In the main model, we evaluated influenza vaccine uptake in all those age 6 months and older. We used a mixed-effects regression analysis with generalised least squares estimation to account for within state correlation in P&I mortality. RESULTS From 2013-2014 through 2018-2019, the total number of all-age P&I related deaths during the influenza seasons was 480,111. The mean overall cumulative influenza vaccine uptake (age 6 months and older) across the states and years considered was 46.7%, with higher uptake (64.8%) observed in those aged ≥ 65 years. We found that overall influenza vaccine uptake (6 months and older) had a statistically significant protective association with the P&I death rate. This translated to a 0.33 (95% CI: 0.20, 0.47) per 100,000 population reduction in P&I deaths in the influenza season per 1% increase in overall influenza vaccine uptake. DISCUSSION These results using a population-level statistical approach provide additional support for the overall effectiveness of the US influenza vaccination program. This reassurance is critical given the importance of ensuring confidence in this life saving program. Future research is needed to expand on our approach using more refined data.
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Affiliation(s)
- Anthony T Newall
- School of Population Health, Faculty of Medicine and Health, University of New South Wales, Sydney, Australia.
| | - Allen L Nazareno
- School of Population Health, Faculty of Medicine and Health, University of New South Wales, Sydney, Australia; Institute of Mathematical Sciences and Physics, College of Arts and Sciences, University of the Philippines Los Baños, Laguna, Philippines
| | - David J Muscatello
- School of Population Health, Faculty of Medicine and Health, University of New South Wales, Sydney, Australia
| | - David Boettiger
- The Kirby Institute, University New South Wales, Sydney, Australia
| | - Cécile Viboud
- Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD 20892, USA
| | - Lone Simonsen
- Department of Science and Environment, University of Roskilde, Roskilde, Denmark
| | - Robin M Turner
- Biostatistics Centre, Division of Health Sciences, University of Otago, Dunedin, New Zealand
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8
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Allen JD, Ross TM. mRNA vaccines encoding computationally optimized hemagglutinin elicit protective antibodies against future antigenically drifted H1N1 and H3N2 influenza viruses isolated between 2018-2020. Front Immunol 2024; 15:1334670. [PMID: 38533508 PMCID: PMC10963417 DOI: 10.3389/fimmu.2024.1334670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 02/12/2024] [Indexed: 03/28/2024] Open
Abstract
Background The implementation of mRNA vaccines against COVID-19 has successfully validated the safety and efficacy of the platform, while at the same time revealing the potential for their applications against other infectious diseases. Traditional seasonal influenza vaccines often induce strain specific antibody responses that offer limited protection against antigenically drifted viruses, leading to reduced vaccine efficacy. Modern advances in viral surveillance and sequencing have led to the development of in-silico methodologies for generating computationally optimized broadly reactive antigens (COBRAs) to improve seasonal influenza vaccines. Methods In this study, immunologically naïve mice were intramuscularly vaccinated with mRNA encoding H1 and H3 COBRA hemagglutinins (HA) or wild-type (WT) influenza HAs encapsulated in lipid nanoparticles (LNPs). Results Mice vaccinated with H1 and H3 COBRA HA-encoding mRNA vaccines generated robust neutralizing serum antibody responses against more antigenically distinct contemporary and future drifted H1N1 and H3N2 influenza strains than those vaccinated with WT H1 and H3 HA-encoding mRNA vaccines. The H1 and H3 COBRA HA-encoding mRNA vaccines also prevented influenza illness, including severe disease in the mouse model against H1N1 and H3N2 viruses. Conclusions This study highlights the potential benefits of combining universal influenza antigen design technology with modern vaccine delivery platforms and exhibits how these vaccines can be advantageous over traditional WT vaccine antigens at eliciting superior protective antibody responses against a broader number of influenza virus isolates.
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Affiliation(s)
- James D Allen
- Center for Vaccines and Immunology, University of Georgia, Athens, GA, United States
- Department of Infectious Diseases, University of Georgia, Athens, GA, United States
- Florida Research and Innovation Center, Cleveland Clinic, Port Saint Lucie, FL, United States
| | - Ted M Ross
- Center for Vaccines and Immunology, University of Georgia, Athens, GA, United States
- Department of Infectious Diseases, University of Georgia, Athens, GA, United States
- Florida Research and Innovation Center, Cleveland Clinic, Port Saint Lucie, FL, United States
- Department of Infection Biology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, United States
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Frutos AM, Price AM, Harker E, Reeves EL, Ahmad HM, Murugan V, Martin ET, House S, Saade EA, Zimmerman RK, Gaglani M, Wernli KJ, Walter EB, Michaels MG, Staat MA, Weinberg GA, Selvarangan R, Boom JA, Klein EJ, Halasa NB, Ginde AA, Gibbs KW, Zhu Y, Self WH, Tartof SY, Klein NP, Dascomb K, DeSilva MB, Weber ZA, Yang DH, Ball SW, Surie D, DeCuir J, Dawood FS, Moline HL, Toepfer AP, Clopper BR, Link-Gelles R, Payne AB, Chung JR, Flannery B, Lewis NM, Olson SM, Adams K, Tenforde MW, Garg S, Grohskopf LA, Reed C, Ellington S. Interim Estimates of 2023-24 Seasonal Influenza Vaccine Effectiveness - United States. MMWR. MORBIDITY AND MORTALITY WEEKLY REPORT 2024; 73:168-174. [PMID: 38421935 PMCID: PMC10907036 DOI: 10.15585/mmwr.mm7308a3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Abstract
In the United States, annual influenza vaccination is recommended for all persons aged ≥6 months. Using data from four vaccine effectiveness (VE) networks during the 2023-24 influenza season, interim influenza VE was estimated among patients aged ≥6 months with acute respiratory illness-associated medical encounters using a test-negative case-control study design. Among children and adolescents aged 6 months-17 years, VE against influenza-associated outpatient visits ranged from 59% to 67% and against influenza-associated hospitalization ranged from 52% to 61%. Among adults aged ≥18 years, VE against influenza-associated outpatient visits ranged from 33% to 49% and against hospitalization from 41% to 44%. VE against influenza A ranged from 46% to 59% for children and adolescents and from 27% to 46% for adults across settings. VE against influenza B ranged from 64% to 89% for pediatric patients in outpatient settings and from 60% to 78% for all adults across settings. These findings demonstrate that the 2023-24 seasonal influenza vaccine is effective at reducing the risk for medically attended influenza virus infection. CDC recommends that all persons aged ≥6 months who have not yet been vaccinated this season get vaccinated while influenza circulates locally.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - CDC Influenza Vaccine Effectiveness Collaborators
- Influenza Division, National Center for Immunization and Respiratory Diseases, CDC; Epidemic Intelligence Service, CDC; Biodesign Center for Personalized Diagnostics, Arizona State University, Tempe, Arizona; University of Michigan School of Public Health, Ann Arbor, Michigan; Washington University School of Medicine in St. Louis, St. Louis, Missouri; University Hospitals of Cleveland, Cleveland, Ohio; University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania; Baylor Scott & White Health, Temple, Texas; Baylor College of Medicine, Temple, Texas; Texas A&M University College of Medicine, Temple, Texas; Kaiser Permanente Washington Health Research Institute, Seattle, Washington; Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California; Duke Human Vaccine Institute, Duke University School of Medicine, Durham, North Carolina; UPMC Children’s Hospital of Pittsburgh, Pittsburgh, Pennsylvania; University of Cincinnati College of Medicine, Cincinnati, Ohio; Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio; University of Rochester School of Medicine and Dentistry, Rochester, New York; University of Missouri-Kansas City School of Medicine, Kansas City, Missouri; Children’s Mercy Hospital, Kansas City, Missouri; Baylor College of Medicine, Houston, Texas; Texas Children’s Hospital, Houston, Texas; Seattle Children’s Research Institute, Seattle, Washington; Vanderbilt University Medical Center, Nashville, Tennessee; University of Colorado School of Medicine, Aurora, Colorado; Wake Forest University School of Medicine, Winston-Salem, North Carolina; Kaiser Permanente Department of Research & Evaluation, Pasadena, California; Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California Division of Research, Oakland, California; Division of Infectious Diseases and Clinical Epidemiology, Intermountain Health, Salt Lake City, Utah; HealthPartners Institute, Minneapolis, Minnesota; Westat, Rockville, Maryland; Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, CDC
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10
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Meng J, Liu J, Song W, Li H, Wang J, Zhang L, Peng Y, Wu A, Jiang T. PREDAC-CNN: predicting antigenic clusters of seasonal influenza A viruses with convolutional neural network. Brief Bioinform 2024; 25:bbae033. [PMID: 38343322 PMCID: PMC10859661 DOI: 10.1093/bib/bbae033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Revised: 01/13/2024] [Accepted: 01/18/2024] [Indexed: 02/15/2024] Open
Abstract
Vaccination stands as the most effective and economical strategy for prevention and control of influenza. The primary target of neutralizing antibodies is the surface antigen hemagglutinin (HA). However, ongoing mutations in the HA sequence result in antigenic drift. The success of a vaccine is contingent on its antigenic congruence with circulating strains. Thus, predicting antigenic variants and deducing antigenic clusters of influenza viruses are pivotal for recommendation of vaccine strains. The antigenicity of influenza A viruses is determined by the interplay of amino acids in the HA1 sequence. In this study, we exploit the ability of convolutional neural networks (CNNs) to extract spatial feature representations in the convolutional layers, which can discern interactions between amino acid sites. We introduce PREDAC-CNN, a model designed to track antigenic evolution of seasonal influenza A viruses. Accessible at http://predac-cnn.cloudna.cn, PREDAC-CNN formulates a spatially oriented representation of the HA1 sequence, optimized for the convolutional framework. It effectively probes interactions among amino acid sites in the HA1 sequence. Also, PREDAC-CNN focuses exclusively on physicochemical attributes crucial for the antigenicity of influenza viruses, thereby eliminating unnecessary amino acid embeddings. Together, PREDAC-CNN is adept at capturing interactions of amino acid sites within the HA1 sequence and examining the collective impact of point mutations on antigenic variation. Through 5-fold cross-validation and retrospective testing, PREDAC-CNN has shown superior performance in predicting antigenic variants compared to its counterparts. Additionally, PREDAC-CNN has been instrumental in identifying predominant antigenic clusters for A/H3N2 (1968-2023) and A/H1N1 (1977-2023) viruses, significantly aiding in vaccine strain recommendation.
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Affiliation(s)
- Jing Meng
- State Key Laboratory of Common Mechanism Research for Major Diseases, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou 215123, Jiangsu, China
| | - Jingze Liu
- State Key Laboratory of Common Mechanism Research for Major Diseases, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou 215123, Jiangsu, China
| | - Wenkai Song
- College of Computer Science, Sichuan University, Chengdu 610065, China
| | - Honglei Li
- Beijing Cloudna Technology Company, Limited, Beijing 100029, China
| | | | - Le Zhang
- College of Computer Science, Sichuan University, Chengdu 610065, China
| | - Yousong Peng
- College of Biology, Hunan University, Changsha 410082, China
| | - Aiping Wu
- State Key Laboratory of Common Mechanism Research for Major Diseases, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou 215123, Jiangsu, China
| | - Taijiao Jiang
- State Key Laboratory of Common Mechanism Research for Major Diseases, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou 215123, Jiangsu, China
- Guangzhou National Laboratory, Guangzhou 510005, China
- State Key Laboratory of Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, 510120, China
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11
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Liu F, Gross FL, Joshi S, Gaglani M, Naleway AL, Murthy K, Groom HC, Wesley MG, Edwards LJ, Grant L, Kim SS, Sambhara S, Gangappa S, Tumpey T, Thompson MG, Fry AM, Flannery B, Dawood FS, Levine MZ. Redirecting antibody responses from egg-adapted epitopes following repeat vaccination with recombinant or cell culture-based versus egg-based influenza vaccines. Nat Commun 2024; 15:254. [PMID: 38177116 PMCID: PMC10767121 DOI: 10.1038/s41467-023-44551-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 12/19/2023] [Indexed: 01/06/2024] Open
Abstract
Repeat vaccination with egg-based influenza vaccines could preferentially boost antibodies targeting the egg-adapted epitopes and reduce immunogenicity to circulating viruses. In this randomized trial (Clinicaltrials.gov: NCT03722589), sera pre- and post-vaccination with quadrivalent inactivated egg-based (IIV4), cell culture-based (ccIIV4), and recombinant (RIV4) influenza vaccines were collected from healthcare personnel (18-64 years) in 2018-19 (N = 723) and 2019-20 (N = 684) influenza seasons. We performed an exploratory analysis. Vaccine egg-adapted changes had the most impact on A(H3N2) immunogenicity. In year 1, RIV4 induced higher neutralizing and total HA head binding antibodies to cell- A(H3N2) virus than ccIIV4 and IIV4. In year 2, among the 7 repeat vaccination arms (IIV4-IIV4, IIV4-ccIIV4, IIV4-RIV4, RIV4-ccIIV4, RIV4-RIV4, ccIIV4-ccIIV4 and ccIIV4-RIV4), repeat vaccination with either RIV4 or ccIIV4 further improved antibody responses to circulating viruses with decreased neutralizing antibody egg/cell ratio. RIV4 also had higher post-vaccination A(H1N1)pdm09 and A(H3N2) HA stalk antibodies in year 1, but there was no significant difference in HA stalk antibody fold rise among vaccine groups in either year 1 or year 2. Multiple seasons of non-egg-based vaccination may be needed to redirect antibody responses from immune memory to egg-adapted epitopes and re-focus the immune responses towards epitopes on the circulating viruses to improve vaccine effectiveness.
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Affiliation(s)
- Feng Liu
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - F Liaini Gross
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Sneha Joshi
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Manjusha Gaglani
- Baylor Scott & White Health, Temple, TX, USA
- Baylor College of Medicine, Temple, TX, USA
- Texas A & M University, College of Medicine, Temple, TX, USA
| | - Allison L Naleway
- Kaiser Permanente Northwest Center for Health Research, Portland, OR, USA
| | | | - Holly C Groom
- Kaiser Permanente Northwest Center for Health Research, Portland, OR, USA
| | - Meredith G Wesley
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
- Abt Associates, Atlanta, GA, USA
| | | | - Lauren Grant
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Sara S Kim
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | | | | | - Terrence Tumpey
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Mark G Thompson
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Alicia M Fry
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Brendan Flannery
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Fatimah S Dawood
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Min Z Levine
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, GA, USA.
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12
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Lin J, Li C, He W. Trends in influenza vaccine uptake before and during the COVID-19 pandemic in the USA. Public Health 2023; 225:291-298. [PMID: 37956641 DOI: 10.1016/j.puhe.2023.10.028] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 10/01/2023] [Accepted: 10/12/2023] [Indexed: 11/15/2023]
Abstract
OBJECTIVES To investigate trends of influenza vaccine uptake before and during the COVID-19 pandemic in the USA and explore the associated factors. STUDY DESIGN This was a cross-sectional study. METHODS Using self-reported data from the National Health Interview Survey during 2014-2021 (response rates ranging from 50.7 to 70.1%), we estimated influenza vaccine uptake. Log-binomial regression models were used to test uptake changes with adjustment for and stratification by demographic and health factors. RESULTS We included 58,249 children (mean age: 8.7 years; male: 51.1%) and 205,034 adults (mean age: 47.6 years; male: 48.2%). The prevalence ratio (PR) of uptake change comparing the intra- (2020-2021) to the pre-COVID-19 period (2014-2019) was 0.72 among children, with a 10.7% reduction. Uptake changes were found across subgroups, with higher reduction among those aged 0-2 years, non-Hispanic Black and Hispanic ethnicity, from South and West regions, and with lower household income. For adults, uptake increased before and during COVID-19 (PR = 1.15, 95% confidence interval [CI]: 1.12-1.18) but a 2.3% reduction was found among healthcare personnel (PR = 0.95, 95% CI: 0.90-0.997). CONCLUSIONS Influenza vaccination decreased during the COVID-19 pandemic among children and healthcare personnel. Structure inequality to influenza vaccination warrants measures to improve vaccine uptake among vulnerable groups.
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Affiliation(s)
- J Lin
- Medicines Intelligence Research Program, School of Population Health, Faculty of Medicine and Health, University of New South Wales, Sydney, Australia
| | - C Li
- Melbourne School of Population & Global Health, The University of Melbourne, Melbourne, Australia
| | - W He
- Children's Hospital at Westmead Clinical School, The University of Sydney, Sydney, Australia.
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13
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Chaves SS, Naeger S, Lounaci K, Zuo Y, Loiacono MM, Pilard Q, Nealon J, Genin M, Mahe C. High-Dose Influenza Vaccine Is Associated With Reduced Mortality Among Older Adults With Breakthrough Influenza Even When There Is Poor Vaccine-Strain Match. Clin Infect Dis 2023; 77:1032-1042. [PMID: 37247308 PMCID: PMC10552589 DOI: 10.1093/cid/ciad322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 05/09/2023] [Accepted: 05/24/2023] [Indexed: 05/31/2023] Open
Abstract
BACKGROUND High-dose (HD) influenza vaccine offers improved protection from influenza virus infection among older adults compared with standard-dose (SD) vaccine. Here, we explored whether HD vaccine attenuates disease severity among older adults with breakthrough influenza. METHODS This was a retrospective cohort study of US claims data for influenza seasons 2016-2017, 2017-2018, and 2018-2019, defined as 1 October through 30 April, among adults aged ≥65 years. After adjusting the different cohorts for the probability of vaccination conditional on patients' characteristics, we compared 30-day mortality rate post-influenza among older adults who experienced breakthrough infection after receipt of HD or SD influenza vaccines and among those not vaccinated (NV). RESULTS We evaluated 44 456 influenza cases: 23 109 (52%) were unvaccinated, 15 037 (33.8%) received HD vaccine, and 6310 (14.2%) received SD vaccine. Significant reductions in mortality rates among breakthrough cases were observed across all 3 seasons for HD vs NV, ranging from 17% to 29% reductions. A significant mortality reduction of 25% was associated with SD vaccination vs NV in the 2016-2017 season when there was a good match between circulating influenza viruses and selected vaccine strains. When comparing HD vs SD cohorts, mortality reductions were higher among those who received HD in the last 2 seasons when mismatch between vaccine strains and circulating H3N2 viruses was documented, albeit not significant. CONCLUSIONS HD vaccination was associated with lower post-influenza mortality among older adults with breakthrough influenza, even during seasons when antigenically drifted H3N2 circulated. Improved understanding of the impact of different vaccines on attenuating disease severity is warranted when assessing vaccine policy recommendations.
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Affiliation(s)
- Sandra S Chaves
- Modelling, Epidemiology and Data Science, Sanofi Vaccines, Lyon, France
| | - Sarah Naeger
- Modelling, Epidemiology and Data Science, Sanofi Vaccines, Lyon, France
| | | | - Yue Zuo
- Quinten Health, Lyon, France
| | | | | | - Joshua Nealon
- School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Pok Fu Lam, Hong Kong Special Administrative Region of China
| | | | - Cedric Mahe
- Modelling, Epidemiology and Data Science, Sanofi Vaccines, Lyon, France
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14
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O’Leary ST, Campbell JD, Ardura MI, Banerjee R, Bryant KA, Caserta MT, Frenck RW, Gerber JS, John CC, Kourtis AP, Myers A, Pannaraj P, Ratner AJ, Shah SS, Bryant KA, Hofstetter AM, Chaparro JD, Michel JJ, Kimberlin DW, Barnett ED, Lynfield R, Sawyer MH, Bernstein HH, Cardemil CV, Farizo KM, Kafer LM, Kim D, López Medina E, Moore D, Panagiotakopoulos L, Romero JR, Sauvé L, Starke JR, Thompson J, Wharton M, Woods CR, Frantz JM, Gibbs G. Recommendations for Prevention and Control of Influenza in Children, 2023-2024. Pediatrics 2023; 152:e2023063773. [PMID: 37641884 DOI: 10.1542/peds.2023-063773] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/28/2023] [Indexed: 08/31/2023] Open
Abstract
This technical report accompanies the recommendations of the American Academy of Pediatrics for the routine use of influenza vaccine and antiviral medications in the prevention and treatment of influenza in children during the 2023-2024 season. The rationale for the American Academy of Pediatrics recommendation for annual influenza vaccination of all children without medical contraindications starting at 6 months of age is provided. Influenza vaccination is an important strategy for protecting children and the broader community against influenza. This technical report summarizes recent influenza seasons, morbidity and mortality in children, vaccine effectiveness, and vaccination coverage, and provides detailed guidance on vaccine storage, administration, and implementation. The report also provides a brief background on inactivated and live-attenuated influenza vaccines, available vaccines this season, vaccination during pregnancy and breastfeeding, diagnostic testing for influenza, and antiviral medications for treatment and chemoprophylaxis. Strategies to promote vaccine uptake are emphasized.
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15
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Zhang Z, Shi L, Liu N, Jia B, Mei K, Zhang L, Zhang X, Lu Y, Lu J, Yao Y. Coverage and impact of influenza vaccination among children in Minhang District, China, 2013-2020. Front Public Health 2023; 11:1193839. [PMID: 37711236 PMCID: PMC10499390 DOI: 10.3389/fpubh.2023.1193839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 08/18/2023] [Indexed: 09/16/2023] Open
Abstract
Background Young children have a great disease burden and are particularly vulnerable to influenza. This study aimed to assess the direct effect of influenza vaccination among children and to evaluate the indirect benefit of immunizing children. Methods The influenza vaccination records for all children born during 2013-2019 in Minhang District and surveillance data for reported influenza cases were obtained from the Minhang CDC. 17,905 children were recorded in the vaccination system and included in this study. Descriptive epidemiology methods were used for data analysis, including an ecological approach to estimate the number of influenza cases averted by vaccination and linear regression to estimate the reduction in influenza cases in the general population per thousand additional childhood vaccination doses. Results During the study period, the annual vaccination coverage rate ranged from 10.40% in 2013-2014 to 27.62% in 2015-2016. The estimated number of influenza cases averted by vaccination ranged from a low of 0.28 (range: 0.23-0.34) during 2013-2014 (PF: 6.15%, range: 5.11-7.38%) to a high of 15.34 (range: 12.38-18.51) during 2017-2018 (PF: 16.54%, range: 13.79-19.30%). When increasing vaccination coverage rate by 10% in each town/street, a ratio of 7.27-10.69% cases could be further averted on the basis of observed cases. In four selected periods, the number of influenza cases in the general population was most significantly correlated with the cumulative childhood vaccination doses in the prior 2-5 months, and the reduction in influenza cases ranged from 0.73 to 3.18 cases per thousand additional childhood vaccination doses. Conclusion Influenza vaccination among children is estimated to have direct effects in terms of averted cases and might provide an underlying indirect benefit to the general population. Vaccination coverage in high-coverage areas should be further expanded to avert more influenza cases.
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Affiliation(s)
- Zhaowen Zhang
- Minhang Center for Disease Control and Prevention, Shanghai, China
| | - Liming Shi
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
| | - Nian Liu
- Minhang Center for Disease Control and Prevention, Shanghai, China
| | - Biyun Jia
- Minhang Center for Disease Control and Prevention, Shanghai, China
| | - Kewen Mei
- Minhang Center for Disease Control and Prevention, Shanghai, China
| | - Liping Zhang
- Minhang Center for Disease Control and Prevention, Shanghai, China
| | - XuanZhao Zhang
- Minhang Center for Disease Control and Prevention, Shanghai, China
| | - Yihan Lu
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
| | - Jia Lu
- Minhang Center for Disease Control and Prevention, Shanghai, China
| | - Ye Yao
- School of Public Health, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
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16
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Liu M, Liu J, Song W, Peng Y, Ding X, Deng L, Jiang T. Development of PREDAC-H1pdm to model the antigenic evolution of influenza A/(H1N1) pdm09 viruses. Virol Sin 2023; 38:541-548. [PMID: 37211247 PMCID: PMC10436056 DOI: 10.1016/j.virs.2023.05.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 05/17/2023] [Indexed: 05/23/2023] Open
Abstract
The Influenza A (H1N1) pdm09 virus caused a global pandemic in 2009 and has circulated seasonally ever since. As the continual genetic evolution of hemagglutinin in this virus leads to antigenic drift, rapid identification of antigenic variants and characterization of the antigenic evolution are needed. In this study, we developed PREDAC-H1pdm, a model to predict antigenic relationships between H1N1pdm viruses and identify antigenic clusters for post-2009 pandemic H1N1 strains. Our model performed well in predicting antigenic variants, which was helpful in influenza surveillance. By mapping the antigenic clusters for H1N1pdm, we found that substitutions on the Sa epitope were common for H1N1pdm, whereas for the former seasonal H1N1, substitutions on the Sb epitope were more common in antigenic evolution. Additionally, the localized epidemic pattern of H1N1pdm was more obvious than that of the former seasonal H1N1, which could make vaccine recommendation more sophisticated. Overall, the antigenic relationship prediction model we developed provides a rapid determination method for identifying antigenic variants, and the further analysis of evolutionary and epidemic characteristics can facilitate vaccine recommendations and influenza surveillance for H1N1pdm.
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Affiliation(s)
- Mi Liu
- Jiangsu Institute of Clinical Immunology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China
| | - Jingze Liu
- Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100005, China; Suzhou Institute of Systems Medicine, Suzhou, 215123, China
| | - Wenjun Song
- Guangzhou Laboratory, Guangzhou, 510005, China
| | - Yousong Peng
- Bioinformatics Center, College of Biology, Hunan Provincial Key Laboratory of Medical Virology, Hunan University, Changsha, 410082, China
| | - Xiao Ding
- Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100005, China; Suzhou Institute of Systems Medicine, Suzhou, 215123, China
| | - Lizong Deng
- Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100005, China; Suzhou Institute of Systems Medicine, Suzhou, 215123, China
| | - Taijiao Jiang
- Suzhou Institute of Systems Medicine, Suzhou, 215123, China; Guangzhou Laboratory, Guangzhou, 510005, China; State Key Laboratory of Respiratory Disease, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, 510120, China.
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17
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Andrew MK, Pott H, Staadegaard L, Paget J, Chaves SS, Ortiz JR, McCauley J, Bresee J, Nunes MC, Baumeister E, Raboni SM, Giamberardino HIG, McNeil SA, Gomez D, Zhang T, Vanhems P, Koul PA, Coulibaly D, Otieno NA, Dbaibo G, Almeida MLG, Laguna-Torres VA, Drăgănescu AC, Burtseva E, Sominina A, Danilenko D, Medić S, Diez-Domingo J, Lina B. Age Differences in Comorbidities, Presenting Symptoms, and Outcomes of Influenza Illness Requiring Hospitalization: A Worldwide Perspective From the Global Influenza Hospital Surveillance Network. Open Forum Infect Dis 2023; 10:ofad244. [PMID: 37383245 PMCID: PMC10296081 DOI: 10.1093/ofid/ofad244] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 04/26/2023] [Indexed: 06/30/2023] Open
Abstract
Background The Global Influenza Hospital Surveillance Network (GIHSN) was established in 2012 to conduct coordinated worldwide influenza surveillance. In this study, we describe underlying comorbidities, symptoms, and outcomes in patients hospitalized with influenza. Methods Between November 2018 and October 2019, GIHSN included 19 sites in 18 countries using a standardized surveillance protocol. Influenza infection was laboratory-confirmed with reverse-transcription polymerase chain reaction. A multivariate logistic regression model was utilized to analyze the extent to which various risk factors predict severe outcomes. Results Of 16 022 enrolled patients, 21.9% had laboratory-confirmed influenza; 49.2% of influenza cases were A/H1N1pdm09. Fever and cough were the most common symptoms, although they decreased with age (P < .001). Shortness of breath was uncommon among those <50 years but increased with age (P < .001). Middle and older age and history of underlying diabetes or chronic obstructive pulmonary disease were associated with increased odds of death and intensive care unit (ICU) admission, and male sex and influenza vaccination were associated with lower odds. The ICU admissions and mortality occurred across the age spectrum. Conclusions Both virus and host factors contributed to influenza burden. We identified age differences in comorbidities, presenting symptoms, and adverse clinical outcomes among those hospitalized with influenza and benefit from influenza vaccination in protecting against adverse clinical outcomes. The GIHSN provides an ongoing platform for global understanding of hospitalized influenza illness.
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Affiliation(s)
- Melissa K Andrew
- Correspondence: Melissa K. Andrew, MD, PhD, Department of Medicine (Geriatrics), Dalhousie University, 5955 Veterans Memorial Lane, Halifax, NS B3H 2E1, Canada (); Bruno Lina, Laboratoire de Virologie, Institut des Agents Infectieux (IAI), Hospices Civils de Lyon, 103 Grande Rue de la Croix-Rousse, Lyon, 69317 CEDEX 04, France ()
| | - Henrique Pott
- Dalhousie University and Canadian Center for Vaccinology, Halifax, Canada
- Department of Medicine, Universidade Federal de São Carlos, São Carlos, Brazil
| | - Lisa Staadegaard
- Netherlands Institute for Health Care Research (Nivel), Utrecht, Netherlands
| | - John Paget
- Netherlands Institute for Health Care Research (Nivel), Utrecht, Netherlands
| | - Sandra S Chaves
- Foundation for Influenza Epidemiology, Fondation de France, Paris, France
| | - Justin R Ortiz
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - John McCauley
- WHO Collaborating Centre for Reference and Research on Influenza, Crick Institute, London, United Kingdom
| | - Joseph Bresee
- Centre for Vaccine Equity, Task Force for Global Health, Atlanta, Georgia, USA
| | - Marta C Nunes
- South African Medical Research Council, Vaccines & Infectious Diseases Analytics (VIDA) Research Unit, and Department of Science and Technology/National Research Foundation, South African Research Chair Initiative in Vaccine Preventable Diseases, Faculty of Health Sciences University of the Witwatersrand, Johannesburg, South Africa
| | - Elsa Baumeister
- National Reference Laboratory for Viral Respiratory Diseases, Virology Department, INEI-ANLIS, Buenos Aires, Argentina
| | - Sonia Mara Raboni
- Molecular Biology/Microbiology Research Laboratory, Universidade Federal do Paraná, Curitiba, Brazil
| | - Heloisa I G Giamberardino
- Epidemiology, Immunization and Infection Control Department—Hospital Pequeno Principe, Curitiba, Paraná, Brazil
| | - Shelly A McNeil
- Dalhousie University and Canadian Center for Vaccinology, Halifax, Canada
| | - Doris Gomez
- Grupo de Investigación UNIMOL, Facultad de Medicina, Universidad de Cartagena, Cartagena de Indias, Colombia
| | - Tao Zhang
- School of Public Health, Fudan University, Shanghai, China
| | | | | | - Daouda Coulibaly
- Institut National d'Hygiène Publique (INHP), Abidjan, Côte d’Ivoire
| | - Nancy A Otieno
- Kenya Medical Research Institute (KEMRI), Nairobi, Kenya
| | - Ghassan Dbaibo
- Center for Infectious Diseases Research, American University of Beirut, Beirut, Lebanon
| | | | | | | | - Elena Burtseva
- FSBI “N.F. Gamaleya NRCEM” Ministry of Health of the Russian Federation (Federal Research Budgetary Institute “National Research Center of Epidemiology and Microbiology named after honorary academician N.F. Gamaleya), Moscow, Russia
| | - Anna Sominina
- Smorodintsev Research Institute of Influenza, St. Petersburg, Russia
| | - Daria Danilenko
- Smorodintsev Research Institute of Influenza, St. Petersburg, Russia
| | - Snežana Medić
- Institute of Public Health of Vojvodina, Novi Sad, Serbia
- Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia
| | | | - Bruno Lina
- Correspondence: Melissa K. Andrew, MD, PhD, Department of Medicine (Geriatrics), Dalhousie University, 5955 Veterans Memorial Lane, Halifax, NS B3H 2E1, Canada (); Bruno Lina, Laboratoire de Virologie, Institut des Agents Infectieux (IAI), Hospices Civils de Lyon, 103 Grande Rue de la Croix-Rousse, Lyon, 69317 CEDEX 04, France ()
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Ghazy RM, Sallam M, Abdullah FSA, Hussein M, Hussein MF. The Effect of Combining the COVID-19 Vaccine with the Seasonal Influenza Vaccine on Reducing COVID-19 Vaccine Rejection Among Libyans. J Epidemiol Glob Health 2023; 13:292-302. [PMID: 37171545 PMCID: PMC10176301 DOI: 10.1007/s44197-023-00107-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 04/21/2023] [Indexed: 05/13/2023] Open
Abstract
BACKGROUND Coronavirus disease 2019 (COVID-19) vaccine coverage remains low in Libya compared to other countries in the Eastern Mediterranean Region. This study aimed to evaluate the willingness of the general public in Libya to receive COVID-19 and seasonal influenza vaccines. Additionally, the study aimed to investigate the potential effect of combining the two vaccines to reduce COVID-19 vaccine rejection. METHODS An anonymous nationwide online cross-sectional survey was carried out from 1st September to 16th October 2022. Libyans aged 18 years or older were recruited using convenience and snowball sampling approaches. The participants were surveyed for sociodemographic information, health status, and vaccination attitude towards COVID-19 and seasonal influenza vaccines. RESULTS A total of 2484 participants formed the final study sample: 68.7% were females, 39.4% were aged 18-25 years, 50.4% were single, 32.5% had previous COVID-19 infection, and 47.2% experienced COVID-19 death among relatives. Three-fourths of the respondents showed COVID-19 vaccine rejection: 57.3% did not receive COVID-19 vaccination, 10.1% would not complete the primary vaccination series, and 7.8% refused booster doses. About 55.0% rejected seasonal influenza vaccination, while 1.9% reported influenza vaccine uptake and 21.2% were willing to get the influenza vaccine for the first time. Additionally, 18.8% had already received influenza vaccination in the last year and intended to get the vaccine this season, while 3.3% were unwilling to get influenza vaccination this year despite receiving it in the last influenza season. Age, sex, and occupation were significantly associated with COVID-19 and influenza vaccine rejection. Rejection of COVID-19 vaccination decreased if its combination with influenza vaccine as a single dose was suggested, with 28.2% of the COVID-19 vaccine rejector group accepting the combined vaccine as it would be safer (50.9%), needing fewer injections (24.0%), would be more effective (19.1%), and would be less expensive (3%). Approximately 73.0% of the COVID-19 vaccine rejector group refused this combination due to fear of side effects (48.7%), absence of published studies on this combination (29.8%), and considering this combination as useless (11.2%). CONCLUSION In Libya, the prevalence of COVID-19 vaccine rejection was high, while the rejection of seasonal influenza vaccination was relatively lower. If influenza and COVID-19 vaccines are administered simultaneously as a single injection, this may reduce the rejection of the COVID-19 vaccine due to better-perceived vaccine safety and efficacy besides being more convenient in terms of the number of injections and cost.
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Affiliation(s)
- Ramy Mohamed Ghazy
- Tropical Health Department, High Institute of Public Health, Alexandria University, Alexandria, 21561 Egypt
| | - Malik Sallam
- Department of Pathology, Microbiology and Forensic Medicine, School of Medicine, The University of Jordan, Amman, 11942 Jordan
- Department of Clinical Laboratories and Forensic Medicine, Jordan University Hospital, Amman, 11942 Jordan
- Department of Translational Medicine, Faculty of Medicine, Lund University, 22184 Malmö, Sweden
| | | | - Mai Hussein
- Clinical Research Administration, Alexandria Directorate of Health Affairs, Alexandria, Egypt
- Ministry of Health and Population, Cairo, Egypt
| | - Mohamed Fakhry Hussein
- Occupational Health and Industrial Medicine Department, High Institute of Public Health, Alexandria University, Alexandria, 21561 Egypt
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Factors Influencing the Uptake of Seasonal Influenza Vaccination among Community-Dwelling Older Adults during COVID-19: A Mixed Methods Study. Vaccines (Basel) 2023; 11:vaccines11030641. [PMID: 36992225 DOI: 10.3390/vaccines11030641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 02/24/2023] [Accepted: 03/08/2023] [Indexed: 03/18/2023] Open
Abstract
Background: Despite making the influenza vaccine accessible and affordable, vaccination rates remained low among community-dwelling older adults. Therefore, this study aimed to explore the factors influencing vaccine uptake and the impact of COVID-19 on vaccine uptake among community-dwelling older adults in Singapore. Methods: A mixed methods study involving a survey and semi-structured interviews were conducted between September 2020 and July 2021. Community-dwelling older adults aged ≥ 65 years were recruited from 27 Community Nurse Posts. Data on participants’ demographics, health condition(s), vaccination status, attitudes towards influenza infections and vaccinations, willingness to pay, intention for future vaccination and source of information were collected via the survey. Semi-structured interviews were conducted to understand vaccination experiences, key enablers and barriers, and the impact of COVID-19 on vaccine uptake. All interviews were analysed using Braun and Clarke’s thematic analysis. Quantitative data were analysed using descriptive statistics, chi-square tests and multinomial logistic regressions. Results: A total of 235 participants completed the survey. Living arrangement was a statistically significant contributing factor for influenza vaccine uptake (ꭓ2= −0.139; p = 0.03). Participants who lived alone were 2.5 times more likely to be vaccinated than those living with others (OR = 2.504, 95% CI: 1.294–4.842, p = 0.006). Avoidance of getting infected (82.5%), avoidance of transmission to others (84.7%), and advice from healthcare professionals to receive vaccination (83.4%) were key enablers, while concerns about possible side effects (41.2%), the effectiveness of the vaccine (42.6%), and not having enough information (48.1%) were barriers. Twenty participants were interviewed. The findings were congruent with the survey results. Five themes were identified as follows: (1) Perceived importance of influenza vaccination, (2) Sphere of influence, (3) Healthcare schemes and medical subsidies, (4) Psychological impediments, and (5) Inconsistent emphases at various touch points. Conclusions: Greater public health efforts are needed to reach out to the larger population of older adults of different living arrangements and those concerned about the possible side effects and effectiveness of the influenza vaccine. Healthcare professionals need to provide more information to address these concerns, especially during COVID-19, to encourage vaccine uptake.
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20
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Simon EL, Crouse B, Wilson M, Muir M, Sayles S, Ramos C, Phelan MP. Evaluation of missed influenza vaccination opportunities in the emergency department. Am J Emerg Med 2023; 68:59-63. [PMID: 36933335 DOI: 10.1016/j.ajem.2023.03.019] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 02/19/2023] [Accepted: 03/08/2023] [Indexed: 03/14/2023] Open
Abstract
BACKGROUND Seasonal influenza is associated with significant healthcare resource utilization. An estimated 490,000 hospitalizations and 34,000 deaths were attributed to influenza during the 2018-2019 season. Despite robust influenza vaccination programs in both the inpatient and outpatient setting, the emergency department (ED) represents a missed opportunity to vaccinate patients at high risk for influenza who do not have access to routine preventive care. Feasibility and implementation of ED-based influenza vaccination programs have been previously described but have stopped short of describing the predicted health resource impact. The goal of our study was to describe the potential impact of an influenza vaccination program in an urban adult emergency department population using historic patient data. METHODS This was a retrospective study of all encounters within a tertiary care hospital-based ED and three freestanding EDs during influenza season (defined as October 1 - April 30) over a two-years, 2018-2020. Data was obtained from the electronic medical record (EPIC®). All ED encounters during the study period were screened for inclusion using ICD 10 codes. Patients with a confirmed positive influenza test and no documented influenza vaccine for the current season were reviewed for any ED encounter at least 14 days prior to the influenza-positive encounter and during the concurrent influenza season. These ED visits were deemed a missed opportunity to provide vaccination and potentially prevent the influenza-positive encounter. Healthcare resource utilization, including subsequent ED encounters and inpatient admissions, were evaluated for patients with a missed vaccination opportunity. RESULTS A total of 116,140 ED encounters occurred during the study and were screened for inclusion. Of these, 2115 were influenza-positive encounters, which represented 1963 unique patients. There were 418 patients (21.3%) that had a missed opportunity to be vaccinated during an ED encounter at least 14 days prior to the influenza-positive encounter. Of those with a missed vaccination opportunity, 60 patients (14.4%) had subsequent influenza-related encounters, including 69 ED visits and 7 inpatient admissions. CONCLUSION Patients presenting to the ED with influenza frequently had opportunities to be vaccinated during prior ED encounters. An ED-based influenza vaccination program could potentially reduce influenza-related burden on healthcare resources by preventing future influenza-related ED encounters and hospitalizations.
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Affiliation(s)
- Erin L Simon
- Cleveland Clinic Akron General, Department of Emergency Medicine, 1 Akron General Ave., Akron, OH 44307, USA; Northeast Ohio Medical University, 4209 SR-44, Rootstown, OH 44272, USA.
| | - Bethany Crouse
- Northeast Ohio Medical University, 4209 SR-44, Rootstown, OH 44272, USA; Cleveland Clinic Akron General, Department of Pharmacy, 1 Akron General Ave., Akron, OH 44307, USA
| | - Mackenzie Wilson
- Northeast Ohio Medical University, 4209 SR-44, Rootstown, OH 44272, USA
| | - McKinzey Muir
- Emergency Services Institute, Cleveland Clinic, 9500 Euclid Ave., Cleveland, OH 44195, USA
| | - Stephen Sayles
- Emergency Services Institute, Cleveland Clinic, 9500 Euclid Ave., Cleveland, OH 44195, USA
| | - Chris Ramos
- Emergency Services Institute, Cleveland Clinic, 9500 Euclid Ave., Cleveland, OH 44195, USA
| | - Michael P Phelan
- Emergency Services Institute, Cleveland Clinic, 9500 Euclid Ave., Cleveland, OH 44195, USA
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21
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Li KQ, Shi X, Miao W, Tchetgen ET. Double Negative Control Inference in Test-Negative Design Studies of Vaccine Effectiveness. ARXIV 2023:arXiv:2203.12509v4. [PMID: 35350548 PMCID: PMC8963685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Revised: 07/07/2022] [Indexed: 10/26/2022]
Abstract
The test-negative design (TND) has become a standard approach to evaluate vaccine effectiveness against the risk of acquiring infectious diseases in real-world settings, such as Influenza, Rotavirus, Dengue fever, and more recently COVID-19. In a TND study, individuals who experience symptoms and seek care are recruited and tested for the infectious disease which defines cases and controls. Despite TND's potential to reduce unobserved differences in healthcare seeking behavior (HSB) between vaccinated and unvaccinated subjects, it remains subject to various potential biases. First, residual confounding bias may remain due to unobserved HSB, occupation as healthcare worker, or previous infection history. Second, because selection into the TND sample is a common consequence of infection and HSB, collider stratification bias may exist when conditioning the analysis on testing, which further induces confounding by latent HSB. In this paper, we present a novel approach to identify and estimate vaccine effectiveness in the target population by carefully leveraging a pair of negative control exposure and outcome variables to account for potential hidden bias in TND studies. We illustrate our proposed method with extensive simulation and an application to study COVID-19 vaccine effectiveness using data from the University of Michigan Health System.
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Affiliation(s)
| | - Xu Shi
- Department of Biostatistics, University of Michigan
| | - Wang Miao
- Department of Probability and Statistics, Peking University
| | - Eric Tchetgen Tchetgen
- Department of Statistics and Data Science, The Wharton School, University of Pennsylvania
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22
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Rolfes MA, Talbot HK, McLean HQ, Stockwell MS, Ellingson KD, Lutrick K, Bowman NM, Bendall EE, Bullock A, Chappell JD, Deyoe JE, Gilbert J, Halasa NB, Hart KE, Johnson S, Kim A, Lauring AS, Lin JT, Lindsell CJ, McLaren SH, Meece JK, Mellis AM, Moreno Zivanovich M, Ogokeh CE, Rodriguez M, Sano E, Silverio Francisco RA, Schmitz JE, Vargas CY, Yang A, Zhu Y, Belongia EA, Reed C, Grijalva CG. Household Transmission of Influenza A Viruses in 2021-2022. JAMA 2023; 329:482-489. [PMID: 36701144 PMCID: PMC9880862 DOI: 10.1001/jama.2023.0064] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
IMPORTANCE Influenza virus infections declined globally during the COVID-19 pandemic. Loss of natural immunity from lower rates of influenza infection and documented antigenic changes in circulating viruses may have resulted in increased susceptibility to influenza virus infection during the 2021-2022 influenza season. OBJECTIVE To compare the risk of influenza virus infection among household contacts of patients with influenza during the 2021-2022 influenza season with risk of influenza virus infection among household contacts during influenza seasons before the COVID-19 pandemic in the US. DESIGN, SETTING, AND PARTICIPANTS This prospective study of influenza transmission enrolled households in 2 states before the COVID-19 pandemic (2017-2020) and in 4 US states during the 2021-2022 influenza season. Primary cases were individuals with the earliest laboratory-confirmed influenza A(H3N2) virus infection in a household. Household contacts were people living with the primary cases who self-collected nasal swabs daily for influenza molecular testing and completed symptom diaries daily for 5 to 10 days after enrollment. EXPOSURES Household contacts living with a primary case. MAIN OUTCOMES AND MEASURES Relative risk of laboratory-confirmed influenza A(H3N2) virus infection in household contacts during the 2021-2022 season compared with prepandemic seasons. Risk estimates were adjusted for age, vaccination status, frequency of interaction with the primary case, and household density. Subgroup analyses by age, vaccination status, and frequency of interaction with the primary case were also conducted. RESULTS During the prepandemic seasons, 152 primary cases (median age, 13 years; 3.9% Black; 52.0% female) and 353 household contacts (median age, 33 years; 2.8% Black; 54.1% female) were included and during the 2021-2022 influenza season, 84 primary cases (median age, 10 years; 13.1% Black; 52.4% female) and 186 household contacts (median age, 28.5 years; 14.0% Black; 63.4% female) were included in the analysis. During the prepandemic influenza seasons, 20.1% (71/353) of household contacts were infected with influenza A(H3N2) viruses compared with 50.0% (93/186) of household contacts in 2021-2022. The adjusted relative risk of A(H3N2) virus infection in 2021-2022 was 2.31 (95% CI, 1.86-2.86) compared with prepandemic seasons. CONCLUSIONS AND RELEVANCE Among cohorts in 5 US states, there was a significantly increased risk of household transmission of influenza A(H3N2) in 2021-2022 compared with prepandemic seasons. Additional research is needed to understand reasons for this association.
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Affiliation(s)
- Melissa A. Rolfes
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | | | | | | | | | | | | | | | | | - Jessica E. Deyoe
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | | | | | - Sheroi Johnson
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Ahra Kim
- Vanderbilt University Medical Center, Nashville, Tennessee
| | | | | | | | | | | | - Alexandra M. Mellis
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Constance E. Ogokeh
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Ellen Sano
- Columbia University, New York City, New York
| | | | | | | | - Amy Yang
- University of North Carolina at Chapel Hill
| | - Yuwei Zhu
- Vanderbilt University Medical Center, Nashville, Tennessee
| | | | - Carrie Reed
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
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23
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Rumfelt KE, Fitzsimmons WJ, Truscon R, Monto AS, Martin ET, Lauring AS. A rapid and flexible microneutralization assay for serological assessment of influenza viruses. Influenza Other Respir Viruses 2023; 17:e13141. [PMID: 37127782 PMCID: PMC10174083 DOI: 10.1111/irv.13141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 04/12/2023] [Accepted: 04/13/2023] [Indexed: 05/03/2023] Open
Abstract
BACKGROUND Serological responses from influenza vaccination or infection are typically measured by hemagglutinin inhibition (HAI) or microneutralization (MN). Both methods are limited in feasibility, standardization, and generalizability to recent strains. We developed a luciferase MN (LMN) assay that combines the advantages of the conventional MN assay with the ease of the HAI assay. METHODS Sera were obtained from the HIVE study, a Michigan household cohort. Reverse genetics was used to generate recombinant influenza viruses expressing the hemagglutinin and neuraminidase of test strains, all other viral proteins from an A/WSN/1933 backbone, and a NanoLuc reporter. Serum neutralization of luciferase-expressing targets was quantified as a reduction in light emission from infected cells. Neutralization titers were measured for cell- and egg-adapted versions of A/Hong Kong/4801/2014 and A/Singapore/INFIMH-16-0019/2016 and compared to HAI titers against egg-grown antigens. RESULTS Three hundred thirty-three sera were collected from 259 participants between May 2016 and July 2018. Sampled participants were 7-68 years of age, and >80% were vaccinated against influenza. HAI and LMN titers were correlated for A/Hong Kong/4801/2014 (ρ = 0.52, p ≤ 0.01) and A/Singapore/INFIMH-16-0019/2016 (ρ = 0.79, p ≤ 0.01). LMN titers were lower for cell strains compared to egg strains (A/Hong Kong/4801/2014 mean log2 fold change = -2.66, p ≤ 0.01 and A/Singapore/INFIMH-16-0019/2016 mean log2 fold change = -3.15, p ≤ 0.01). CONCLUSIONS The LMN assay was feasible using limited sample volumes and able to differentiate small antigenic differences between egg-adapted and cell-derived strains. The correspondence of these results with the commonly used HAI confirms the utility of this assay for high-throughput studies of correlates of protection and vaccine response.
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Affiliation(s)
- Kalee E. Rumfelt
- Department of EpidemiologyUniversity of MichiganAnn ArborMichiganUSA
| | - William J. Fitzsimmons
- Division of Infectious Diseases, Department of Internal MedicineUniversity of MichiganAnn ArborMichiganUSA
| | - Rachel Truscon
- Department of EpidemiologyUniversity of MichiganAnn ArborMichiganUSA
| | - Arnold S. Monto
- Department of EpidemiologyUniversity of MichiganAnn ArborMichiganUSA
| | - Emily T. Martin
- Department of EpidemiologyUniversity of MichiganAnn ArborMichiganUSA
| | - Adam S. Lauring
- Division of Infectious Diseases, Department of Internal MedicineUniversity of MichiganAnn ArborMichiganUSA
- Department of Microbiology and ImmunologyUniversity of MichiganAnn ArborMichiganUSA
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Zhu H, Chen S, Lu W, Chen K, Feng Y, Xie Z, Zhang Z, Li L, Ou J, Chen G. Study on the influence of meteorological factors on influenza in different regions and predictions based on an LSTM algorithm. BMC Public Health 2022; 22:2335. [PMID: 36514013 PMCID: PMC9745690 DOI: 10.1186/s12889-022-14299-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 09/26/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Influenza epidemics pose a threat to human health. It has been reported that meteorological factors (MFs) are associated with influenza. This study aimed to explore the similarities and differences between the influences of more comprehensive MFs on influenza in cities with different economic, geographical and climatic characteristics in Fujian Province. Then, the information was used to predict the daily number of cases of influenza in various cities based on MFs to provide bases for early warning systems and outbreak prevention. METHOD Distributed lag nonlinear models (DLNMs) were used to analyse the influence of MFs on influenza in different regions of Fujian Province from 2010 to 2021. Long short-term memory (LSTM) was used to train and model daily cases of influenza in 2010-2018, 2010-2019, and 2010-2020 based on meteorological daily values. Daily cases of influenza in 2019, 2020 and 2021 were predicted. The root mean squared error (RMSE), mean absolute error (MAE), mean absolute percentage error (MAPE) and symmetric mean absolute percentage error (SMAPE) were used to quantify the accuracy of model predictions. RESULTS The cumulative effect of low and high values of air pressure (PRS), air temperature (TEM), air temperature difference (TEMD) and sunshine duration (SSD) on the risk of influenza was obvious. Low (< 979 hPa), medium (983 to 987 hPa) and high (> 112 hPa) PRS were associated with a higher risk of influenza in women, children aged 0 to 12 years, and rural populations. Low (< 9 °C) and high (> 23 °C) TEM were risk factors for influenza in four cities. Wind speed (WIN) had a more significant effect on the risk of influenza in the ≥ 60-year-old group. Low (< 40%) and high (> 80%) relative humidity (RHU) in Fuzhou and Xiamen had a significant effect on influenza. When PRS was between 1005-1015 hPa, RHU > 60%, PRE was low, TEM was between 10-20 °C, and WIN was low, the interaction between different MFs and influenza was most obvious. The RMSE, MAE, MAPE, and SMAPE evaluation indices of the predictions in 2019, 2020 and 2021 were low, and the prediction accuracy was high. CONCLUSION All eight MFs studied had an impact on influenza in four cities, but there were similarities and differences. The LSTM model, combined with these eight MFs, was highly accurate in predicting the daily cases of influenza. These MFs and prediction models could be incorporated into the influenza early warning and prediction system of each city and used as a reference to formulate prevention strategies for relevant departments.
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Affiliation(s)
- Hansong Zhu
- Emergency Response and Epidemic Management Institute, Fujian Center for Disease Control and Prevention, Fuzhou, 350012 Fujian China ,Fujian Provincial Key Laboratory of Zoonosis Research, Fuzhou, 350012 Fujian China ,grid.256112.30000 0004 1797 9307The practice base on the school of public health Fujian Medical University, Fuzhou, 350012 Fujian China
| | - Si Chen
- Climate Assessment Office of Fujian Climate Center, Fuzhou, 350007 Fujian China
| | - Wen Lu
- grid.415108.90000 0004 1757 9178Shengli Clinical Medical College of Fujian Medical University, Department of Health Management of Fujian Provincial Hospital, Fuzhou, 350001 Fujian China
| | - Kaizhi Chen
- grid.411604.60000 0001 0130 6528College of Computer and Data Science, Fuzhou University, Fuzhou, 350108 Fujian China
| | - Yulin Feng
- grid.256112.30000 0004 1797 9307School of Public Health, Fujian Medical University, Fujian 350108 Fuzhou, China
| | - Zhonghang Xie
- Emergency Response and Epidemic Management Institute, Fujian Center for Disease Control and Prevention, Fuzhou, 350012 Fujian China ,Fujian Provincial Key Laboratory of Zoonosis Research, Fuzhou, 350012 Fujian China ,grid.256112.30000 0004 1797 9307The practice base on the school of public health Fujian Medical University, Fuzhou, 350012 Fujian China
| | - Zhifang Zhang
- Fujian Provincial Key Laboratory of Zoonosis Research, Fuzhou, 350012 Fujian China ,Science and Technology Information and Management, Fujian Center for Disease Control and Prevention, Fuzhou, 350012 Fujian China
| | - Lingfang Li
- Emergency Response and Epidemic Management Institute, Fujian Center for Disease Control and Prevention, Fuzhou, 350012 Fujian China ,Fujian Provincial Key Laboratory of Zoonosis Research, Fuzhou, 350012 Fujian China
| | - Jianming Ou
- Emergency Response and Epidemic Management Institute, Fujian Center for Disease Control and Prevention, Fuzhou, 350012 Fujian China ,Fujian Provincial Key Laboratory of Zoonosis Research, Fuzhou, 350012 Fujian China ,grid.256112.30000 0004 1797 9307The practice base on the school of public health Fujian Medical University, Fuzhou, 350012 Fujian China
| | - Guangmin Chen
- Emergency Response and Epidemic Management Institute, Fujian Center for Disease Control and Prevention, Fuzhou, 350012 Fujian China ,Fujian Provincial Key Laboratory of Zoonosis Research, Fuzhou, 350012 Fujian China ,grid.256112.30000 0004 1797 9307The practice base on the school of public health Fujian Medical University, Fuzhou, 350012 Fujian China
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25
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Burden of medically attended influenza infection and cases averted by vaccination - United States, 2016/17 through 2018/19 influenza seasons. Vaccine 2022; 40:7703-7708. [PMID: 36379754 PMCID: PMC9732931 DOI: 10.1016/j.vaccine.2022.11.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 11/04/2022] [Accepted: 11/05/2022] [Indexed: 11/15/2022]
Abstract
BACKGROUND Epidemics of seasonal influenza vary in intensity annually, and influenza vaccine effectiveness (VE) fluctuates based in part on antigenic match to circulating viruses. We estimated the incidence of influenza and influenza cases averted by vaccination in four ambulatory care sites in the United States, during seasons when overall influenza VE ranged from 29% to 40%. METHODS We conducted active surveillance for influenza at ambulatory care settings at four sites within the United States Influenza Vaccine Effectiveness Network. We extrapolated the total number of influenza cases in the source populations served by these organizations based on incidence of medically attended acute respiratory illness in the source population and influenza test results in those actively tested for influenza. We estimated the number of medically attended influenza cases averted based on incidence, vaccine coverage, and VE. RESULTS From 2016/17 through 2018/19, incidence of ambulatory visits for laboratory-confirmed influenza ranged from 31 to 51 per 1,000 population. Incidence was highest in children aged 9-17 years (range, 56 to 81 per 1,000) and lowest in adults aged 18-49 years (range, 23-32 per 1,000). Medically attended cases averted by vaccination ranged from a high of 46.6 (95 % CI, 12.1- 91.9) per 1,000 vaccinees in children aged 6 months to 8 years, to a low of 6.9 (95 % CI, -5.1- 27.3) per 1,000 vaccinees in adults aged ≥ 65 years. DISCUSSION Even in seasons with low vaccine effectiveness for a particular virus subtype, influenza vaccines can still lead to clinically meaningful reductions in ambulatory care visits for influenza.
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Liu G, Liu Z, Zhao H, Sun Y, Shen P, Lin H, Zhan S. The effectiveness of influenza vaccine among elderly Chinese: A regression discontinuity design based on Yinzhou regional health information platform. Hum Vaccin Immunother 2022; 18:2115751. [PMID: 36302096 PMCID: PMC9746462 DOI: 10.1080/21645515.2022.2115751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Abstract
In China, a free influenza vaccination policy is being implemented among individuals aged 70 years and over in Zhejiang province during the COVID-19 pandemic. The objective was to assess the effectiveness of influenza vaccine in reducing hospitalization and mortality in the elderly. We used data from the Regional Health Information Platform in Yinzhou located in Zhejiang province and applied a regression discontinuity design to estimate the intention-to-treat effect on admission and mortality rates by month of age in the population who was near the age of 70 years threshold. At age 70 years, the influenza vaccination rate increased by 29.1% (95% CI, 28.2% to 29.9%) compared to those under 70 in the study population. When turning age 70 years, the potential effectiveness of receiving influenza vaccine was 8.2% (95% CI, -36.8% to 51.3%) for total hospitalization and the evaluation of vaccine effectiveness was 13.1% (95% CI, -34.2 to 61.8) for the all-cause mortality. An increase in the influenza vaccination rate was associated with a weak decline in most outcomes, but no significance was found for all outcomes. Influenza vaccination had a limited effect on hospital admission and mortality for the free influenza vaccination program that can be related to the low vaccination rate among the Chinese elderly. Supplementation strategies and future studies may be needed to expand immunization coverage and validate this finding, and further provide a reference for other cities to promote the free influenza vaccination policy in China, especially under circumstances of the COVID-19 pandemic.
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Affiliation(s)
- Guangxu Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Zhike Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Houyu Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Yexiang Sun
- Big Data Center, Yinzhou District Center for Disease Control and Prevention, Ningbo, China
| | - Peng Shen
- Big Data Center, Yinzhou District Center for Disease Control and Prevention, Ningbo, China
| | - Hongbo Lin
- Big Data Center, Yinzhou District Center for Disease Control and Prevention, Ningbo, China
| | - Siyan Zhan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China,Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, China,Center for Intelligent Public Health, Institute for Artificial Intelligence, Peking University, Beijing, China,CONTACT Siyan Zhan Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No.38 Xueyuan Road, Haidian District, Beijing100191, China
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Abstract
This technical report accompanies the recommendations of the American Academy of Pediatrics for the routine use of influenza vaccine and antiviral medications in the prevention and treatment of influenza in children during the 2022 to 2023 season. The American Academy of Pediatrics recommends annual influenza vaccination of all children without medical contraindications starting at 6 months of age. Influenza vaccination is an important strategy for protecting children and the broader community as well as reducing the overall burden of respiratory illnesses when other viruses, including severe acute respiratory syndrome-coronavirus 2, are cocirculating. This technical report summarizes recent influenza seasons, morbidity and mortality in children, vaccine effectiveness, and vaccination coverage, and provides detailed guidance on storage, administration, and implementation. The report also provides a brief background on inactivated and live attenuated influenza vaccine recommendations, vaccination during pregnancy and breastfeeding, diagnostic testing, and antiviral medications for treatment and chemoprophylaxis. Updated information is provided about the 2021 to 2022 influenza season, influenza immunization rates, the effectiveness of influenza vaccination on hospitalization and mortality, available vaccines, guidance for patients with history of severe allergic reactions to prior influenza vaccinations, and strategies to promote vaccine uptake.
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Varghese PM, Kishore U, Rajkumari R. Innate and adaptive immune responses against Influenza A Virus: Immune evasion and vaccination strategies. Immunobiology 2022; 227:152279. [DOI: 10.1016/j.imbio.2022.152279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Revised: 08/31/2022] [Accepted: 09/07/2022] [Indexed: 11/25/2022]
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Talbird SE, Carrico J, La EM, Carias C, Marshall GS, Roberts CS, Chen YT, Nyaku MK. Impact of Routine Childhood Immunization in Reducing Vaccine-Preventable Diseases in the United States. Pediatrics 2022; 150:188495. [PMID: 35821599 DOI: 10.1542/peds.2021-056013] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/01/2022] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Current routine immunizations for children aged ≤10 years in the United States in 2019 cover 14 vaccine-preventable diseases. We characterize the public-health impact of vaccination by providing updated estimates of disease incidence with and without universally recommended pediatric vaccines. METHODS Prevaccine disease incidence was obtained from published data or calculated using annual case estimates from the prevaccine period and United States population estimates during the same period. Vaccine-era incidence was calculated as the average incidence over the most recent 5 years of available surveillance data or obtained from published estimates (if surveillance data were not available). We adjusted for underreporting and calculated the percent reduction in overall and age-specific incidence for each disease. We multiplied prevaccine and vaccine-era incidence rates by 2019 United States population estimates to calculate annual number of cases averted by vaccination. RESULTS Routine immunization reduced the incidence of all targeted diseases, leading to reductions in incidence ranging from 17% (influenza) to 100% (diphtheria, Haemophilus influenzae type b, measles, mumps, polio, and rubella). For the 2019 United States population of 328 million people, these reductions equate to >24 million cases of vaccine-preventable disease averted. Vaccine-era disease incidence estimates remained highest for influenza (13 412 per 100 000) and Streptococcus pneumoniae-related acute otitis media (2756 per 100 000). CONCLUSIONS Routine childhood immunization in the United States continues to yield considerable sustained reductions in incidence across all targeted diseases. Efforts to maintain and improve vaccination coverage are necessary to continue experiencing low incidence levels of vaccine-preventable diseases.
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Affiliation(s)
| | - Justin Carrico
- RTI Health Solutions, Research Triangle Park, North Carolina
| | - Elizabeth M La
- RTI Health Solutions, Research Triangle Park, North Carolina
| | | | - Gary S Marshall
- Norton Children's and University of Louisville School of Medicine, Louisville, Kentucky
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30
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Nguyen VH, Roy B. Modelling the Economic Impact of lnfluenza Vaccine Programs with the Cell-Based Quadrivalent Influenza Vaccine and Adjuvanted Trivalent Influenza Vaccine in Canada. Vaccines (Basel) 2022; 10:vaccines10081257. [PMID: 36016145 PMCID: PMC9412987 DOI: 10.3390/vaccines10081257] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 07/19/2022] [Accepted: 07/26/2022] [Indexed: 12/10/2022] Open
Abstract
In Canada, approximately 12,000 people annually are hospitalized with influenza. While vaccination is the most effective method for reducing the burden of seasonal influenza, the propagation of vaccine virus strains in eggs can result in egg adaption, resulting in reduced antigenic similarity to circulating strains and thus lower vaccine effectiveness (VE). Cell-based propagation methods avoid these alterations and therefore may be more effective than egg-propagation vaccines. We evaluated three different scenarios: (1) egg-based quadrivalent influenza vaccine (QIVe) for individuals <65 years and adjuvanted trivalent influenza vaccine (aTIV) for ≥65 years; (2) QIVe (<65 years) and high-dose QIV (HD −; QIV; ≥65 years); and (3) cell-based derived QIV (QIVc; <65 years) and aTIV (≥65 years) compared with a baseline scenario of QIVe for all age groups. Modelling was performed using a dynamic age-structured SEIR model, which assessed each strain individually using data from the 2012−2019 seasons. Probabilistic sensitivity analysis assessed the robustness of the results with respect to variation in absolute VE, relative VE, number of egg-adapted seasons, and economic parameters. QIVe + aTIV was cost-saving compared with the baseline scenario (QIVe for all), and QIVe + HD − QIV was not cost-effective in the majority of simulations, reflecting the high acquisition cost of HD − QIV. Overall, while the incremental benefits may vary by influenza season, QIVc + aTIV resulted in the greatest reductions in cases, hospitalizations, and mortality, and was cost-effective (ICER < CAD 50,000) in all simulations.
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Affiliation(s)
- Van Hung Nguyen
- VHN Consulting Inc., 95 McCulloch, Montreal, QC H2V3L8, Canada
| | - Bertrand Roy
- Seqirus Canada, 16766 Trans-Canada Hwy Suite 504, Kirkland, QC H9H 4M7, Canada
- Correspondence:
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31
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Li ZN, Liu F, Jefferson S, Horner L, Carney P, Johnson MDL, King JP, Martin ET, Zimmerman RK, Wernli K, Gaglani M, Thompson M, Flannery B, Stevens J, Tumpey T, Levine MZ. Multiplex Detection of Antibody Landscapes to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)/Influenza/Common Human Coronaviruses Following Vaccination or Infection With SARS-CoV-2 and Influenza. Clin Infect Dis 2022; 75:S271-S284. [PMID: 35684961 PMCID: PMC9214136 DOI: 10.1093/cid/ciac472] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and influenza viruses continue to co-circulate, representing 2 major public health threats from respiratory infections with similar clinical presentations. SARS-CoV-2 and influenza vaccines can also now be co-administered. However, data on antibody responses to SARS-CoV-2 and influenza coinfection and vaccine co-administration remain limited. METHODS We developed a 41-plex antibody immunity assay that can simultaneously characterize antibody landscapes to SARS-CoV-2/influenza/common human coronaviruses. We analyzed sera from 840 individuals (11-93 years), including sera from reverse transcription-polymerase chain reaction (RT-PCR)-confirmed SARS-CoV-2-positive (n = 218) and -negative (n = 120) cases, paired sera from SARS-CoV-2 vaccination (n = 29) and infection (n = 11), and paired sera from influenza vaccination (n = 56) and RT-PCR-confirmed influenza infection (n = 158) cases. Last, we analyzed sera collected from 377 individuals who exhibited acute respiratory illness (ARI) in 2020. RESULTS This 41-plex assay has high sensitivity and specificity in detecting SARS-CoV-2 infections. It differentiated SARS-CoV-2 vaccination (antibody responses only to spike protein) from infection (antibody responses to both spike and nucleoprotein). No cross-reactive antibodies were induced to SARS-CoV-2 from influenza vaccination and infection, and vice versa, suggesting no interaction between SARS-CoV-2 and influenza antibody responses. However, cross-reactive antibodies were detected between spike proteins of SARS-CoV-2 and common human coronaviruses that were removed by serum adsorption. Among 377 individuals who exhibited ARI in 2020, 129 were influenza positive; none had serological evidence of SARS-CoV-2/influenza coinfections. CONCLUSIONS Multiplex detection of antibody landscapes can provide in-depth analysis of the antibody protective immunity to SARS-CoV-2 in the context of other respiratory viruses, including influenza.
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Affiliation(s)
- Zhu-Nan Li
- Influenza Division, Centers for Disease Control and Prevention, Atlanta GA, USA
| | - Feng Liu
- Influenza Division, Centers for Disease Control and Prevention, Atlanta GA, USA
| | - Stacie Jefferson
- Influenza Division, Centers for Disease Control and Prevention, Atlanta GA, USA
| | - Lauren Horner
- Influenza Division, Centers for Disease Control and Prevention, Atlanta GA, USA
| | - Paul Carney
- Influenza Division, Centers for Disease Control and Prevention, Atlanta GA, USA
| | - Michael D. L. Johnson
- Department of Immunobiology, BIO5 Institute, Valley Fever Center for Excellence, and Asthma and Airway Disease Research Center, University of Arizona, Tucson, AZ, USA
| | - Jennifer P King
- Marshfield Clinic Research Institute, Marshfield, Wisconsin, USA
| | - Emily T Martin
- University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Richard K Zimmerman
- University of Pittsburgh, Schools of Health Sciences, Pittsburgh, Pennsylvania, USA
| | - Karen Wernli
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA
| | - Manjusha Gaglani
- Baylor Scott & White Health, Temple, Texas. USA,Texas A&M University University College of Medicine, Temple, Texas, USA
| | - Mark Thompson
- Influenza Division, Centers for Disease Control and Prevention, Atlanta GA, USA
| | - Brendan Flannery
- Influenza Division, Centers for Disease Control and Prevention, Atlanta GA, USA
| | - James Stevens
- Influenza Division, Centers for Disease Control and Prevention, Atlanta GA, USA
| | - Terrence Tumpey
- Influenza Division, Centers for Disease Control and Prevention, Atlanta GA, USA
| | - Min Z. Levine
- Corresponding author: Min Z Levine, PhD Influenza Division, Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA, 30329. , Tel: 404-639-3504
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32
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Days of Flooding Associated with Increased Risk of Influenza. JOURNAL OF ENVIRONMENTAL AND PUBLIC HEALTH 2022; 2022:8777594. [PMID: 35692665 PMCID: PMC9187473 DOI: 10.1155/2022/8777594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 05/10/2022] [Indexed: 11/18/2022]
Abstract
Influenza typically causes mild infection but can lead to severe outcomes for those with compromised lung health. Flooding, a seasonal problem in Iowa, can expose many Iowans to molds and allergens shown to alter lung inflammation, leading to asthma attacks and decreased viral clearance. Based on this, the hypothesis for this research was that there would be geographically specific positive associations in locations with flooding with influenza diagnosis. An ecological study was performed using influenza diagnoses and positive influenza polymerase chain reaction tests from a de-identified large private insurance database and Iowa State Hygienic Lab. After adjustment for multiple confounding factors, Poisson regression analysis resulted in a consistent 1% associated increase in influenza diagnoses per day above flood stage (95% confidence interval: 1.00–1.04). This relationship remained after removal of the 2009–2010 influenza pandemic year. There was no associated risk between flooding and influenza-like illness as a nonspecific diagnosis. Associated risks between flooding and increased influenza diagnoses were geographically specific, with the greatest risk in the most densely populated areas. This study indicates that populations who live, work, or volunteer in flooded environments should consider preventative measures to avoid environmental exposures to mitigate illness from influenza in the following year.
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Richards F, Kodjamanova P, Chen X, Li N, Atanasov P, Bennetts L, Patterson BJ, Yektashenas B, Mesa-Frias M, Tronczynski K, Buyukkaramikli N, El Khoury AC. Economic Burden of COVID-19: A Systematic Review. Clinicoecon Outcomes Res 2022; 14:293-307. [PMID: 35509962 PMCID: PMC9060810 DOI: 10.2147/ceor.s338225] [Citation(s) in RCA: 81] [Impact Index Per Article: 40.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 03/23/2022] [Indexed: 12/26/2022]
Abstract
Objective To review and qualitatively synthesize the evidence related to the economic burden of COVID-19, including healthcare resource utilization and costs. Methods A systematic review of studies that assessed the economic burden [eg, direct costs, productivity, macroeconomic impact due to non-pharmaceutical interventions (NPIs) and equity] of COVID-19 was conducted by searches in EMBASE, MEDLINE, MEDLINE-IN-PROCESS, and The Cochrane Library, as well as manual searches of unpublished research for the period between January 2020 to February 2021. Single reviewer data extraction was confirmed independently by a second reviewer. Results The screening process resulted in a total of 27 studies: 25 individual publications, and 2 systematic literature reviews, of narrower scopes, that fulfilled the inclusion criteria. The patients diagnosed with more severe COVID-19 were associated with higher costs. The main drivers for higher costs were consistent across countries and included ICU admission, in-hospital resource use such as mechanical ventilation, which lead to increase costs of $2082.65 ± 345.04 to $2990.76 ± 545.98. The most frequently reported indirect costs were due to productivity losses. On average, older COVID-19 patients incurred higher costs when compared to younger age groups. An estimation of a 20% COVID-19 infection rate based on a Monte Carlo simulation in the United States led to a total direct medical cost of $163.4 billion over the course of the pandemic. Conclusion The COVID-19 pandemic has generated a considerable economic burden on patients and the general population. Preventative measures such as NPIs only have partial success in lowering the economic costs of the pandemic. Implementing additional preventative measures such as large-scale vaccination is vital in reducing direct and indirect medical costs, decreased productivity, and GDP losses.
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Affiliation(s)
| | | | - Xue Chen
- HEMA Amaris, Shanghai, People's Republic of China
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34
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Greene SK, Levin-Rector A, McGibbon E, Baumgartner J, Devinney K, Ternier A, Sell J, Kahn R, Kishore N. Reduced COVID-19 hospitalizations among New York City residents following age-based SARS-CoV-2 vaccine eligibility: Evidence from a regression discontinuity design. Vaccine X 2022; 10:100134. [PMID: 34961848 PMCID: PMC8694652 DOI: 10.1016/j.jvacx.2021.100134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 11/15/2021] [Accepted: 12/10/2021] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND In clinical trials, several SARS-CoV-2 vaccines were shown to reduce risk of severe COVID-19 illness. Local, population-level, real-world evidence of vaccine effectiveness is accumulating. We assessed vaccine effectiveness for community-dwelling New York City (NYC) residents using a quasi-experimental, regression discontinuity design, leveraging a period (January 12-March 9, 2021) when ≥ 65-year-olds were vaccine-eligible but younger persons, excluding essential workers, were not. METHODS We constructed segmented, negative binomial regression models of age-specific COVID-19 hospitalization rates among 45-84-year-old NYC residents during a post-vaccination program implementation period (February 21-April 17, 2021), with a discontinuity at age 65 years. The relationship between age and hospitalization rates in an unvaccinated population was incorporated using a pre-implementation period (December 20, 2020-February 13, 2021). We calculated the rate ratio (RR) and 95% confidence interval (CI) for the interaction between implementation period (pre or post) and age-based eligibility (45-64 or 65-84 years). Analyses were stratified by race/ethnicity and borough of residence. Similar analyses were conducted for COVID-19 deaths. RESULTS Hospitalization rates among 65-84-year-olds decreased from pre- to post-implementation periods (RR 0.85, 95% CI: 0.74-0.97), controlling for trends among 45-64-year-olds. Accordingly, an estimated 721 (95% CI: 126-1,241) hospitalizations were averted. Residents just above the eligibility threshold (65-66-year-olds) had lower hospitalization rates than those below (63-64-year-olds). Racial/ethnic groups and boroughs with higher vaccine coverage generally experienced greater reductions in RR point estimates. Uncertainty was greater for the decrease in COVID-19 death rates (RR 0.85, 95% CI: 0.66-1.10). CONCLUSION The vaccination program in NYC reduced COVID-19 hospitalizations among the initially age-eligible ≥ 65-year-old population by approximately 15% in the first eight weeks. The real-world evidence of vaccine effectiveness makes it more imperative to improve vaccine access and uptake to reduce inequities in COVID-19 outcomes.
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Affiliation(s)
- Sharon K. Greene
- Bureau of Communicable Disease, New York City Department of Health and Mental Hygiene, Long Island City, NY, USA
| | - Alison Levin-Rector
- Bureau of Communicable Disease, New York City Department of Health and Mental Hygiene, Long Island City, NY, USA
| | - Emily McGibbon
- Bureau of Communicable Disease, New York City Department of Health and Mental Hygiene, Long Island City, NY, USA
| | - Jennifer Baumgartner
- Bureau of Communicable Disease, New York City Department of Health and Mental Hygiene, Long Island City, NY, USA
| | - Katelynn Devinney
- Bureau of Communicable Disease, New York City Department of Health and Mental Hygiene, Long Island City, NY, USA
| | - Alexandra Ternier
- Bureau of Immunization, New York City Department of Health and Mental Hygiene, Long Island City, NY, USA
| | - Jessica Sell
- Bureau of Communicable Disease, New York City Department of Health and Mental Hygiene, Long Island City, NY, USA
| | - Rebecca Kahn
- Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Nishant Kishore
- Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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Bivalent H1 and H3 COBRA Recombinant Hemagglutinin Vaccines Elicit Seroprotective Antibodies against H1N1 and H3N2 Influenza Viruses from 2009 to 2019. J Virol 2022; 96:e0165221. [PMID: 35289635 DOI: 10.1128/jvi.01652-21] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Commercial influenza virus vaccines often elicit strain-specific immune responses and have difficulties preventing illness caused by antigenically drifted viral variants. In the last 20 years, the H3N2 component of the annual vaccine has been updated nearly twice as often as the H1N1 component, and in 2019, a mismatch between the wild-type (WT) H3N2 vaccine strain and circulating H3N2 influenza strains led to a vaccine efficacy of ∼9%. Modern methods of developing computationally optimized broadly reactive antigens (COBRAs) for H3N2 influenza viruses utilize current viral surveillance information to design more broadly reactive vaccine antigens. Here, 7 new recombinant hemagglutinin (rHA) H3 COBRA hemagglutinin (HA) antigens were evaluated in mice. Subsequently, two candidates, J4 and NG2, were selected for further testing in influenza-preimmune animals based on their ability to elicit broadly reactive antibodies against antigenically drifted H3N2 viral isolates. In the preimmune model, monovalent formulations of J4 and NG2 elicited broadly reactive antibodies against recently circulating H3N2 influenza viruses from 2019. Bivalent mixtures of COBRA H1 and H3 rHA, Y2 + J4, and Y2 + NG2 outperformed multiple WT H1+H3 bivalent rHA mixtures by eliciting seroprotective antibodies against H1N1 and H3N2 isolates from 2009 to 2019. Overall, the newly generated COBRA HA antigens, namely, Y2, J4, and NG2, had the ability to induce broadly reactive antibodies in influenza-naive and preimmune animals in both monovalent and bivalent formulations, and these antigens outperformed H1 and H3 WT rHA vaccine antigens by eliciting seroprotective antibodies against panels of antigenically drifted historical H1N1 and H3N2 vaccine strains from 2009 to 2019. IMPORTANCE Standard-of-care influenza virus vaccines are composed of a mixture of antigens from different influenza viral subtypes. For the first time, lead COBRA H1 and H3 HA antigens, formulated as a bivalent vaccine, have been investigated in animals with preexisting immunity to influenza viruses. The cocktail of COBRA HA antigens elicited more broadly reactive anti-HA antibodies than those elicited by a comparator bivalent wild-type HA vaccine against H1 and H3 influenza viruses isolated between 2009 and 2019.
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36
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Holstein R, Dawood FS, O'Halloran A, Cummings C, Ujamaa D, Daily Kirley P, Yousey-Hindes K, Fawcett E, Monroe ML, Kim S, Lynfield R, McMullen C, Muse A, Bennett NM, Billing LM, Sutton M, Thomas A, Talbot HK, Schaffner W, Risk I, Reed C, Garg S. Characteristics and Outcomes of Hospitalized Pregnant Women With Influenza, 2010 to 2019 : A Repeated Cross-Sectional Study. Ann Intern Med 2022; 175:149-158. [PMID: 34958603 DOI: 10.7326/m21-3668] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Pregnant women may be at increased risk for severe influenza-associated outcomes. OBJECTIVE To describe characteristics and outcomes of hospitalized pregnant women with influenza. DESIGN Repeated cross-sectional study. SETTING The population-based U.S. Influenza Hospitalization Surveillance Network during the 2010-2011 through 2018-2019 influenza seasons. PATIENTS Pregnant women (aged 15 to 44 years) hospitalized with laboratory-confirmed influenza identified through provider-initiated or facility-based testing practices. MEASUREMENTS Clinical characteristics, interventions, and in-hospital maternal and fetal outcomes were obtained through medical chart abstraction. Multivariable logistic regression was used to evaluate the association between influenza A subtype and severe maternal influenza-associated outcomes, including intensive care unit (ICU) admission, mechanical ventilation, extracorporeal membrane oxygenation, or in-hospital death. RESULTS Of 9652 women aged 15 to 44 years and hospitalized with influenza, 2690 (27.9%) were pregnant. Among the 2690 pregnant women, the median age was 28 years, 62% were in their third trimester, and 42% had at least 1 underlying condition. Overall, 32% were vaccinated against influenza and 88% received antiviral treatment. Five percent required ICU admission, 2% required mechanical ventilation, and 0.3% (n = 8) died. Pregnant women with influenza A H1N1 were more likely to have severe outcomes than those with influenza A H3N2 (adjusted risk ratio, 1.9 [95% CI, 1.3 to 2.8]). Most women (71%) were still pregnant at hospital discharge. Among 754 women who were no longer pregnant at discharge, 96% had a pregnancy resulting in live birth, and 3% experienced fetal loss. LIMITATION Maternal and fetal outcomes that occurred after hospital discharge were not captured. CONCLUSION Over 9 influenza seasons, one third of reproductive-aged women hospitalized with influenza were pregnant. Influenza A H1N1 was associated with more severe maternal outcomes. Pregnant women remain a high-priority target group for vaccination. PRIMARY FUNDING SOURCE Centers for Disease Control and Prevention.
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Affiliation(s)
- Rachel Holstein
- Centers for Disease Control and Prevention, Atlanta, Georgia (R.H., F.S.D., A.O., C.C., C.R., S.G.)
| | - Fatimah S Dawood
- Centers for Disease Control and Prevention, Atlanta, Georgia (R.H., F.S.D., A.O., C.C., C.R., S.G.)
| | - Alissa O'Halloran
- Centers for Disease Control and Prevention, Atlanta, Georgia (R.H., F.S.D., A.O., C.C., C.R., S.G.)
| | - Charisse Cummings
- Centers for Disease Control and Prevention, Atlanta, Georgia (R.H., F.S.D., A.O., C.C., C.R., S.G.)
| | - Dawud Ujamaa
- Centers for Disease Control and Prevention, Atlanta, Georgia, and General Dynamics Information Technology, Falls Church, Virginia (D.U.)
| | - Pam Daily Kirley
- California Emerging Infections Program, Oakland, California (P.D.K.)
| | - Kimberly Yousey-Hindes
- Connecticut Emerging Infections Program, Yale School of Public Health, New Haven, Connecticut (K.Y.)
| | - Emily Fawcett
- Emerging Infections Program, Georgia Department of Health, and Veterans Affairs Medical Center, Atlanta, Georgia, and Foundation for Atlanta Veterans Education and Research, Decatur, Georgia (E.F.)
| | - Maya L Monroe
- Maryland Department of Health, Baltimore, Maryland (M.L.M.)
| | - Sue Kim
- Michigan Department of Health and Human Services, Lansing, Michigan (S.K.)
| | - Ruth Lynfield
- Minnesota Department of Health, St. Paul, Minnesota (R.L.)
| | | | - Alison Muse
- New York State Department of Health, Albany, New York (A.M.)
| | - Nancy M Bennett
- University of Rochester School of Medicine and Dentistry, Rochester, New York (N.M.B.)
| | | | | | - Ann Thomas
- Oregon Health Authority, Portland, Oregon (M.S., A.T.)
| | - H Keipp Talbot
- Vanderbilt University School of Medicine, Nashville, Tennessee (H.K.T., W.S.)
| | - William Schaffner
- Vanderbilt University School of Medicine, Nashville, Tennessee (H.K.T., W.S.)
| | - Ilene Risk
- Salt Lake County Health Department, Salt Lake City, Utah (I.R.)
| | - Carrie Reed
- Centers for Disease Control and Prevention, Atlanta, Georgia (R.H., F.S.D., A.O., C.C., C.R., S.G.)
| | - Shikha Garg
- Centers for Disease Control and Prevention, Atlanta, Georgia (R.H., F.S.D., A.O., C.C., C.R., S.G.)
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Kang M, Zanin M, Wong SS. Subtype H3N2 Influenza A Viruses: An Unmet Challenge in the Western Pacific. Vaccines (Basel) 2022; 10:vaccines10010112. [PMID: 35062773 PMCID: PMC8778411 DOI: 10.3390/vaccines10010112] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 01/07/2022] [Accepted: 01/07/2022] [Indexed: 02/04/2023] Open
Abstract
Subtype H3N2 influenza A viruses (A(H3N2)) have been the dominant strain in some countries in the Western Pacific region since the 2009 influenza A(H1N1) pandemic. Vaccination is the most effective way to prevent influenza; however, low vaccine effectiveness has been reported in some influenza seasons, especially for A(H3N2). Antigenic mismatch introduced by egg-adaptation during vaccine production between the vaccine and circulating viral stains is one of the reasons for low vaccine effectiveness. Here we review the extent of this phenomenon, the underlying molecular mechanisms and discuss recent strategies to ameliorate this, including new vaccine platforms that may provide better protection and should be considered to reduce the impact of A(H3N2) in the Western Pacific region.
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Affiliation(s)
- Min Kang
- School of Public Health, Southern Medical University, Guangzhou 510515, China;
- Guangdong Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Mark Zanin
- State Key Laboratory for Respiratory Diseases and National Clinical Research Centre for Respiratory Disease, Guangzhou Medical University, 195 Dongfengxi Road, Guangzhou 511436, China;
- School of Public Health, The University of Hong Kong, 7 Sassoon Road, Pokfulam, Hong Kong, China
| | - Sook-San Wong
- State Key Laboratory for Respiratory Diseases and National Clinical Research Centre for Respiratory Disease, Guangzhou Medical University, 195 Dongfengxi Road, Guangzhou 511436, China;
- School of Public Health, The University of Hong Kong, 7 Sassoon Road, Pokfulam, Hong Kong, China
- Correspondence: ; Tel.: +86-178-2584-6078
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Farrell NM, Lamb M, Baker WE, Gendron BJ, Fett D, Figueroa N, Margetak D, Schechter-Perkins EM. Operationalizing influenza vaccination in an urban safety-net emergency department. Am J Emerg Med 2021; 52:179-183. [PMID: 34942427 DOI: 10.1016/j.ajem.2021.12.021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 12/02/2021] [Accepted: 12/11/2021] [Indexed: 11/16/2022] Open
Abstract
INTRODUCTION Influenza vaccination is a recommended tool in preventing influenza-related illnesses, medical visits, and hospitalizations. With many patients remaining unvaccinated each year, the Emergency Department (ED) represents a unique opportunity to provide vaccinations to patient not yet vaccinated. However, busy urban safety-net EDs maybe challenged to safely execute such a vaccination program. The aim of this quality improvement project was to assess influenza vaccination feasibility in the ED and improve influenza vaccination rates in our community. METHODS The quality improvement work-group, comprised of ED physicians, nurses, and pharmacists, designed and implemented an influenza vaccination protocol that aligned with the ED workflow. The outcome measure was the total number of patients vaccinated per month and per influenza season. Process measures included the type of influenza vaccine administered and type of care area within ED. Balancing measures were also included. RESULTS Following the initiative, a total of 337 patients received influenza vaccinations in the ED between September 1, 2018 and December 31, 2020 compared to none during the previous influenza season. With each influenza season, the number of vaccinated patients increased from 61 to 134 and 142, respectively. The average age of the patients was 48.23 ± 15.29, 52.89 ± 15.91, and 44.92 ± 18.97 years old. Most patients received the vaccination while roomed in the high acuity section of the adult ED. No adverse effects or automated dispensing cabinet stockouts were observed. CONCLUSION Our structured program indicates that influenza vaccine administration to eligible patients is feasible in a busy urban safety-net ED. Piloting new and further developing existing ED-based influenza vaccination programs have the potential to significantly benefit public health.
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Affiliation(s)
- Natalija M Farrell
- Department of Pharmacy, Boston Medical Center, Boston, MA, United States; Department of Emergency Medicine, Boston University School of Medicine, Boston, MA, United States.
| | - Matthew Lamb
- Department of Pharmacy, Boston Medical Center, Boston, MA, United States.
| | - William E Baker
- Department of Emergency Medicine, Boston University School of Medicine, Boston, MA, United States; Department of Emergency Medicine, Boston Medical Center, Boston, MA, United States.
| | - Bryan J Gendron
- Department of Pharmacy, Boston Medical Center, Boston, MA, United States; Department of Emergency Medicine, Boston University School of Medicine, Boston, MA, United States.
| | - David Fett
- Department of Pharmacy, Boston Medical Center, Boston, MA, United States.
| | - Nelson Figueroa
- Department of Emergency Medicine, Boston Medical Center, Boston, MA, United States.
| | - Danielle Margetak
- Department of Pharmacy, Boston Medical Center, Boston, MA, United States.
| | - Elissa M Schechter-Perkins
- Department of Emergency Medicine, Boston University School of Medicine, Boston, MA, United States; Department of Emergency Medicine, Boston Medical Center, Boston, MA, United States.
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Abstract
Influenza virus infections are common in people of all ages. Epidemics occur in the winter months in temperate locations and at varying times of the year in subtropical and tropical locations. Most influenza virus infections cause mild and self-limiting disease, and around one-half of all infections occur with a fever. Only a small minority of infections lead to serious disease requiring hospitalization. During epidemics, the rates of influenza virus infections are typically highest in school-age children. The clinical severity of infections tends to increase at the extremes of age and with the presence of underlying medical conditions, and impact of epidemics is greatest in these groups. Vaccination is the most effective measure to prevent infections, and in recent years influenza vaccines have become the most frequently used vaccines in the world. Nonpharmaceutical public health measures can also be effective in reducing transmission, allowing suppression or mitigation of influenza epidemics and pandemics.
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Affiliation(s)
- Sukhyun Ryu
- Department of Preventive Medicine, Konyang University College of Medicine, Daejeon 35365, South Korea
| | - Benjamin J Cowling
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
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40
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Abstract
This technical report accompanies the recommendations of the American Academy of Pediatrics for the routine use of the influenza vaccine and antiviral medications in the prevention and treatment of influenza in children during the 2021-2022 season. Influenza vaccination is an important intervention to protect vulnerable populations and reduce the burden of respiratory illnesses during circulation of severe acute respiratory syndrome coronavirus 2, which is expected to continue during this influenza season. In this technical report, we summarize recent influenza seasons, morbidity and mortality in children, vaccine effectiveness, vaccination coverage, and detailed guidance on storage, administration, and implementation. We also provide background on inactivated and live attenuated influenza vaccine recommendations, vaccination during pregnancy and breastfeeding, diagnostic testing, and antiviral medications for treatment and chemoprophylaxis.
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MESH Headings
- Antiviral Agents/therapeutic use
- Breast Feeding
- Child
- Contraindications, Drug
- Drug Resistance, Viral
- Drug Storage
- Female
- Hospitalization
- Humans
- Influenza Vaccines/administration & dosage
- Influenza Vaccines/adverse effects
- Influenza, Human/drug therapy
- Influenza, Human/epidemiology
- Influenza, Human/mortality
- Influenza, Human/prevention & control
- Mass Vaccination
- Risk Factors
- United States/epidemiology
- Vaccines, Attenuated/administration & dosage
- Vaccines, Attenuated/adverse effects
- Vaccines, Inactivated/administration & dosage
- Vaccines, Inactivated/adverse effects
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41
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Allen JD, Ross TM. Evaluation of Next-Generation H3 Influenza Vaccines in Ferrets Pre-Immune to Historical H3N2 Viruses. Front Immunol 2021; 12:707339. [PMID: 34475872 PMCID: PMC8406686 DOI: 10.3389/fimmu.2021.707339] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Accepted: 07/21/2021] [Indexed: 11/13/2022] Open
Abstract
Each person has a unique immune history to past influenza virus infections. Exposure to influenza viruses early in life establishes memory B cell populations that influence future immune responses to influenza vaccination. Current influenza vaccines elicit antibodies that are typically strain specific and do not offer broad protection against antigenically drifted influenza strains in all age groups of people. This is particularly true for vaccine antigens of the A(H3N2) influenza virus subtype, where continual antigenic drift necessitates frequent vaccine reformulation. Broadly-reactive influenza virus vaccine antigens offer a solution to combat antigenic drift, but they also need to be equally effective in all populations, regardless of prior influenza virus exposure history. This study examined the role that pre-existing immunity plays on influenza virus vaccination. Ferrets were infected with historical A(H3N2) influenza viruses isolated from either the 1970’s, 1980’s, or 1990’s and then vaccinated with computationally optimized broadly reactive antigens (COBRA) or wild-type (WT) influenza virus like particles (VLPs) expressing hemagglutinin (HA) vaccine antigens to examine the expansion of immune breadth. Vaccines with the H3 COBRA HA antigens had more cross-reactive antibodies following a single vaccination in all three pre-immune regimens than vaccines with WT H3 HA antigens against historical, contemporary, and future drifted A(H3N2) influenza viruses. The H3 COBRA HA vaccines also induced antibodies capable of neutralizing live virus infections against modern drifted A(H3N2) strains at higher titers than the WT H3 HA vaccine comparators.
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Affiliation(s)
- James D Allen
- Center for Vaccines and Immunology, University of Georgia, Athens, GA, United States
| | - Ted M Ross
- Center for Vaccines and Immunology, University of Georgia, Athens, GA, United States.,Department of Infectious Diseases, University of Georgia, Athens, GA, United States
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Tenforde MW, Talbot HK, Trabue CH, Gaglani M, McNeal TM, Monto AS, Martin ET, Zimmerman RK, Silveira FP, Middleton DB, Olson SM, Garten Kondor RJ, Barnes JR, Ferdinands JM, Patel MM. Influenza Vaccine Effectiveness Against Hospitalization in the United States, 2019-2020. J Infect Dis 2021; 224:813-820. [PMID: 33378531 PMCID: PMC8408767 DOI: 10.1093/infdis/jiaa800] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Accepted: 12/23/2020] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Influenza causes significant morbidity and mortality and stresses hospital resources during periods of increased circulation. We evaluated the effectiveness of the 2019-2020 influenza vaccine against influenza-associated hospitalization in the United States. METHODS We included adults hospitalized with acute respiratory illness at 14 hospitals and tested for influenza viruses by reserve-transcription polymerase chain reaction. Vaccine effectiveness (VE) was estimated by comparing the odds of current-season influenza vaccination in test-positive influenza cases vs test-negative controls, adjusting for confounders. VE was stratified by age and major circulating influenza types along with A(H1N1)pdm09 genetic subgroups. RESULTS A total of 3116 participants were included, including 18% (n = 553) influenza-positive cases. Median age was 63 years. Sixty-seven percent (n = 2079) received vaccination. Overall adjusted VE against influenza viruses was 41% (95% confidence interval [CI], 27%-52%). VE against A(H1N1)pdm09 viruses was 40% (95% CI, 24%-53%) and 33% against B viruses (95% CI, 0-56%). Of the 2 major A(H1N1)pdm09 subgroups (representing 90% of sequenced H1N1 viruses), VE against one group (5A + 187A,189E) was 59% (95% CI, 34%-75%) whereas no VE was observed against the other group (5A + 156K) (-1% [95% CI, -61% to 37%]). CONCLUSIONS In a primarily older population, influenza vaccination was associated with a 41% reduction in risk of hospitalized influenza illness.
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Affiliation(s)
- Mark W Tenforde
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - H Keipp Talbot
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Christopher H Trabue
- University of Tennessee Health Science Center, Saint Thomas Health, Nashville, Tennessee, USA
| | - Manjusha Gaglani
- Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Tresa M McNeal
- Baylor Scott and White Health, Texas A&M University College of Medicine, Temple, Texas, USA
| | - Arnold S Monto
- University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Emily T Martin
- University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Richard K Zimmerman
- University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Fernanda P Silveira
- University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Donald B Middleton
- University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Samantha M Olson
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Rebecca J Garten Kondor
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - John R Barnes
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Jill M Ferdinands
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Manish M Patel
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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43
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Abreu RB, Kirchenbaum GA, Sautto GA, Clutter EF, Ross TM. Impaired memory B-cell recall responses in the elderly following recurrent influenza vaccination. PLoS One 2021; 16:e0254421. [PMID: 34351920 PMCID: PMC8341655 DOI: 10.1371/journal.pone.0254421] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Accepted: 06/25/2021] [Indexed: 01/13/2023] Open
Abstract
Influenza is a highly contagious viral respiratory disease that affects million of people worldwide each year. Annual vaccination is recommended by the World Health Organization with the goal of reducing influenza severity and limiting transmission through elicitation of antibodies targeting the hemagglutinin (HA) glycoprotein. The antibody response elicited by current seasonal influenza virus vaccines is predominantly strain-specific, but pre-existing influenza virus immunity can greatly impact the serological antibody response to vaccination. However, it remains unclear how B cell memory is shaped by recurrent annual vaccination over the course of multiple seasons, especially in high-risk elderly populations. Here, we systematically profiled the B cell response in young adult (18-34 year old) and elderly (65+ year old) vaccine recipients that received annual split inactivated influenza virus vaccination for 3 consecutive seasons. Specifically, the antibody serological and memory B-cell compartments were profiled for reactivity against current and historical influenza A virus strains. Moreover, multiparametric analysis and antibody landscape profiling revealed a transient increase in strain-specific antibodies in the elderly, but with an impaired recall response of pre-existing memory B-cells, plasmablast (PB) differentiation and long-lasting serological changes. This study thoroughly profiles and compares the immune response to recurrent influenza virus vaccination in young and elderly participants unveiling the pitfalls of current influenza virus vaccines in high-risk populations.
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Affiliation(s)
- Rodrigo B. Abreu
- Center for Vaccines and Immunology, University of Georgia, Athens, Georgia, United States of America
| | - Greg A. Kirchenbaum
- Center for Vaccines and Immunology, University of Georgia, Athens, Georgia, United States of America
- Department of Infectious Diseases, University of Georgia, Athens, Georgia, United States of America
| | - Giuseppe A. Sautto
- Center for Vaccines and Immunology, University of Georgia, Athens, Georgia, United States of America
| | - Emily F. Clutter
- Center for Vaccines and Immunology, University of Georgia, Athens, Georgia, United States of America
| | - Ted M. Ross
- Center for Vaccines and Immunology, University of Georgia, Athens, Georgia, United States of America
- Department of Infectious Diseases, University of Georgia, Athens, Georgia, United States of America
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44
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Lu X, Lu J, Zhang L, Mei K, Guan B, Lu Y. Gap between willingness and behavior in the vaccination against influenza, pneumonia, and herpes zoster among Chinese aged 50-69 years. Expert Rev Vaccines 2021; 20:1147-1152. [PMID: 34287096 DOI: 10.1080/14760584.2021.1954910] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
BACKGROUND Vaccination uptake of influenza vaccine, 23-valent pneumococcal polysaccharide vaccine (PPV23) and herpes zoster vaccine (HZV) remains low among Chinese aged 50-69 years, posing a significant public health concern. This study's aim is to determine the gap between the vaccination willingness and uptake. RESEARCH DESIGN AND METHODS We conducted a face-to-face questionnaire survey among the persons aged 50-69 years in 13 communities in Shanghai in November-December 2020 to measure vaccination willingness, vaccine price sensitivity, vaccination service accessibility, and vaccine hesitancy. Then, we explored the factors influencing the vaccination uptake using a structural equation model. RESULTS Vaccination willingness was 70.5% (self-paid influenza vaccine), 79.4% (free PPV23 for local persons), 54.7% (self-paid PPV23 for non-local persons), and 16.6% (self-paid HZV); however, actual uptake was 10.8% (influenza vaccine), 11.0% (free PPV23), and 2.5% (self-paid PPV23). Moreover, vaccination uptake was strongly influenced by service accessibility (β = 0.941), followed by willingness (β = 0.201), price sensitivity (β = -0.188), and medical history of vaccine-preventable diseases and underlying diseases (β = 0.176). Related knowledge (β = 0.017) and vaccine hesitancy (β = -0.003) affected the uptake indirectly. CONCLUSION There is a gap between the vaccination willingness and uptake in Chinese elderly. It warrants specific measures, including increasing service accessibility and reforming payment mechanism, to bridge the gap.
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Affiliation(s)
- Xinyue Lu
- Department of Epidemiology, Ministry of Education Key Laboratory of Public Health Safety, Fudan School of Public Health, Shanghai, China
| | - Jia Lu
- Department of Immunization Planning, Minhang District Center for Disease Control and Prevention, Shanghai, China.,Minhang Branch, Fudan School of Public Health, Shanghai, China
| | - Liping Zhang
- Department of Immunization Planning, Minhang District Center for Disease Control and Prevention, Shanghai, China.,Minhang Branch, Fudan School of Public Health, Shanghai, China
| | - Kewen Mei
- Department of Immunization Planning, Minhang District Center for Disease Control and Prevention, Shanghai, China.,Minhang Branch, Fudan School of Public Health, Shanghai, China
| | - Baichu Guan
- Department of Epidemiology, Ministry of Education Key Laboratory of Public Health Safety, Fudan School of Public Health, Shanghai, China
| | - Yihan Lu
- Department of Epidemiology, Ministry of Education Key Laboratory of Public Health Safety, Fudan School of Public Health, Shanghai, China
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45
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Gohil SK, Olenslager K, Quan KA, Dastur CK, Afsar N, Chang W, Huang SS. Asymptomatic and Symptomatic COVID-19 Infections Among Health Care Personnel Before and After Vaccination. JAMA Netw Open 2021; 4:e2115980. [PMID: 34236414 PMCID: PMC8267609 DOI: 10.1001/jamanetworkopen.2021.15980] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
This cohort study investigates asymptomatic and symptomatic COVID-19 case rates before and after the initial vaccine rollout among health care personnel in Orange County, California.
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Affiliation(s)
- Shruti K. Gohil
- Epidemiology & Infection Prevention Program, University of California, Irvine Health (UCI Health), Irvine
- Division of Infectious Diseases, University of California, Irvine School of Medicine, Irvine
| | - Keith Olenslager
- Epidemiology & Infection Prevention Program, University of California, Irvine Health (UCI Health), Irvine
| | - Kathleen A. Quan
- Epidemiology & Infection Prevention Program, University of California, Irvine Health (UCI Health), Irvine
| | - Cyrus K. Dastur
- Division of Neurocritical Care, Department of Neurology, University of California, Irvine School of Medicine, Orange
| | | | - Wayne Chang
- Division of Occupational and Environmental Medicine, University of California, Irvine School of Medicine, Irvine
| | - Susan S. Huang
- Epidemiology & Infection Prevention Program, University of California, Irvine Health (UCI Health), Irvine
- Division of Infectious Diseases, University of California, Irvine School of Medicine, Irvine
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Development of a Novel Live Attenuated Influenza A Virus Vaccine Encoding the IgA-Inducing Protein. Vaccines (Basel) 2021; 9:vaccines9070703. [PMID: 34198994 PMCID: PMC8310050 DOI: 10.3390/vaccines9070703] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 06/19/2021] [Accepted: 06/22/2021] [Indexed: 11/26/2022] Open
Abstract
Live attenuated influenza virus (LAIV) vaccines elicit a combination of systemic and mucosal immunity by mimicking a natural infection. To further enhance protective mucosal responses, we incorporated the gene encoding the IgA-inducing protein (IGIP) into the LAIV genomes of the cold-adapted A/Leningrad/134/17/57 (H2N2) strain (caLen) and the experimental attenuated backbone A/turkey/Ohio/313053/04 (H3N2) (OH/04att). Incorporation of IGIP into the caLen background led to a virus that grew poorly in prototypical substrates. In contrast, IGIP in the OH/04att background (IGIP-H1att) virus grew to titers comparable to the isogenic backbone H1att (H1N1) without IGIP. IGIP-H1att- and H1caLen-vaccinated mice were protected against lethal challenge with a homologous virus. The IGIP-H1att vaccine generated robust serum HAI responses in naïve mice against the homologous virus, equal or better than those obtained with the H1caLen vaccine. Analyses of IgG and IgA responses using a protein microarray revealed qualitative differences in humoral and mucosal responses between vaccine groups. Overall, serum and bronchoalveolar lavage samples from the IGIP-H1att group showed trends towards increased stimulation of IgG and IgA responses compared to H1caLen samples. In summary, the introduction of genes encoding immunomodulatory functions into a candidate LAIV can serve as natural adjuvants to improve overall vaccine safety and efficacy.
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47
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Sandor AM, Sturdivant MS, Ting JPY. Influenza Virus and SARS-CoV-2 Vaccines. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2021; 206:2509-2520. [PMID: 34021048 PMCID: PMC8722349 DOI: 10.4049/jimmunol.2001287] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Accepted: 03/29/2021] [Indexed: 12/13/2022]
Abstract
Seasonal influenza and the current COVID-19 pandemic represent looming global health challenges. Efficacious and safe vaccines remain the frontline tools for mitigating both influenza virus and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-induced diseases. This review will discuss the existing strategies for influenza vaccines and how these strategies have informed SARS-CoV-2 vaccines. It will also discuss new vaccine platforms and potential challenges for both viruses.
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Affiliation(s)
- Adam M Sandor
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Division of Pharmacoengineering and Molecular Pharmaceutics, Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC; and
| | - Michael S Sturdivant
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Biological and Biomedical Sciences Program, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Jenny P Y Ting
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC;
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC
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48
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Long A, Mathew S, Alvarez KS, Smartt J, Shah M, Madden C, Perl TM, Cerise FP, Bhavan KP. Co-Created Messaging for Influenza Vaccination in a High-Risk Hispanic Community Provides Groundwork for COVID-19 Vaccine. Health Equity 2021; 5:345-352. [PMID: 34084986 PMCID: PMC8170719 DOI: 10.1089/heq.2020.0132] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/14/2021] [Indexed: 01/07/2023] Open
Abstract
Purpose: Influenza/pneumonia is the eighth leading cause of death in the United States. The 2020-2021 influenza season is predicted to be further impacted by COVID-19 infections. Historical data reflect disproportionate morbidity and mortality rates in the Hispanic population for influenza and COVID-19. Influenza vaccination rates remain low in the Hispanic community. We aim to improve vaccination through a community-led event, partnering with the Cristo Rey School Dallas, located in a zip code with a higher age-adjusted influenza/pneumonia mortality rate. A survey was administered to adults attending the Influenza vaccine event to understand attitudes and perceptions about influenza, vaccination, and effective messaging strategies for the campaign. Methods: Messaging was cocreated with student health ambassadors to promote immunization and delivered through trusted sources. The health department administered vaccines to individuals >age 3 at no cost. Adults were asked to complete a 19-question survey postvaccination offered in both English and Spanish. Results: Two hundred and forty-one of 394 (61.2%) participants completed the survey. Ninety-eight percent identified as Hispanic/Latino, and the majority of surveys were administered in Spanish. Among Spanish language participants, the church bulletins (57.3%) and Spanish language radio (30.5%) were reported to be most effective modes of messaging versus word of mouth (32.9%) and social media (26.3%) for English-speaking participants. Sixteen percent of participants surveyed had never received an influenza vaccine before this event. Conclusion: Cocreated messaging delivered by trusted sources in the Hispanic community led to a successful Influenza vaccine drive with the Dallas County health department.
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Affiliation(s)
- Apple Long
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Sheryl Mathew
- Center for Innovation and Value, Parkland Health and Hospital System, Dallas, Texas, USA
| | - Kristin S Alvarez
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Center for Innovation and Value, Parkland Health and Hospital System, Dallas, Texas, USA
| | - Jillian Smartt
- Center for Innovation and Value, Parkland Health and Hospital System, Dallas, Texas, USA
| | - Monal Shah
- Center for Innovation and Value, Parkland Health and Hospital System, Dallas, Texas, USA
| | - Christopher Madden
- Health Systems Operations Administration, UT Southwestern Medical Center, Dallas, Texas, USA
| | - Trish M Perl
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Fred P Cerise
- Center for Innovation and Value, Parkland Health and Hospital System, Dallas, Texas, USA
| | - Kavita P Bhavan
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.,Center for Innovation and Value, Parkland Health and Hospital System, Dallas, Texas, USA
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Sekiya T, Ohno M, Nomura N, Handabile C, Shingai M, Jackson DC, Brown LE, Kida H. Selecting and Using the Appropriate Influenza Vaccine for Each Individual. Viruses 2021; 13:971. [PMID: 34073843 PMCID: PMC8225103 DOI: 10.3390/v13060971] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 05/17/2021] [Accepted: 05/20/2021] [Indexed: 12/28/2022] Open
Abstract
Despite seasonal influenza vaccines having been routinely used for many decades, influenza A virus continues to pose a global threat to humans, causing high morbidity and mortality each year. The effectiveness of the vaccine is largely dependent on how well matched the vaccine strains are with the circulating influenza virus strains. Furthermore, low vaccine efficacy in naïve populations such as young children, or in the elderly, who possess weakened immune systems, indicates that influenza vaccines need to be more personalized to provide broader community protection. Advances in both vaccine technologies and our understanding of influenza virus infection and immunity have led to the design of a variety of alternate vaccine strategies to extend population protection against influenza, some of which are now in use. In this review, we summarize the progress in the field of influenza vaccines, including the advantages and disadvantages of different strategies, and discuss future prospects. We also highlight some of the challenges to be faced in the ongoing effort to control influenza through vaccination.
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Affiliation(s)
- Toshiki Sekiya
- International Institute for Zoonosis Control, Hokkaido University, Kita-20 Nishi-10, Kita-ku, Sapporo 001-0020, Japan; (T.S.); (M.O.); (N.N.); (C.H.); (M.S.)
- International Collaboration Unit, International Institute for Zoonosis Control, Hokkaido University, Sapporo 001-0020, Japan; (D.C.J.); (L.E.B.)
- The Department of Microbiology and Immunology, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne 3000, Australia
| | - Marumi Ohno
- International Institute for Zoonosis Control, Hokkaido University, Kita-20 Nishi-10, Kita-ku, Sapporo 001-0020, Japan; (T.S.); (M.O.); (N.N.); (C.H.); (M.S.)
| | - Naoki Nomura
- International Institute for Zoonosis Control, Hokkaido University, Kita-20 Nishi-10, Kita-ku, Sapporo 001-0020, Japan; (T.S.); (M.O.); (N.N.); (C.H.); (M.S.)
| | - Chimuka Handabile
- International Institute for Zoonosis Control, Hokkaido University, Kita-20 Nishi-10, Kita-ku, Sapporo 001-0020, Japan; (T.S.); (M.O.); (N.N.); (C.H.); (M.S.)
| | - Masashi Shingai
- International Institute for Zoonosis Control, Hokkaido University, Kita-20 Nishi-10, Kita-ku, Sapporo 001-0020, Japan; (T.S.); (M.O.); (N.N.); (C.H.); (M.S.)
- International Collaboration Unit, International Institute for Zoonosis Control, Hokkaido University, Sapporo 001-0020, Japan; (D.C.J.); (L.E.B.)
| | - David C. Jackson
- International Collaboration Unit, International Institute for Zoonosis Control, Hokkaido University, Sapporo 001-0020, Japan; (D.C.J.); (L.E.B.)
- The Department of Microbiology and Immunology, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne 3000, Australia
| | - Lorena E. Brown
- International Collaboration Unit, International Institute for Zoonosis Control, Hokkaido University, Sapporo 001-0020, Japan; (D.C.J.); (L.E.B.)
- The Department of Microbiology and Immunology, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne 3000, Australia
| | - Hiroshi Kida
- International Institute for Zoonosis Control, Hokkaido University, Kita-20 Nishi-10, Kita-ku, Sapporo 001-0020, Japan; (T.S.); (M.O.); (N.N.); (C.H.); (M.S.)
- International Collaboration Unit, International Institute for Zoonosis Control, Hokkaido University, Sapporo 001-0020, Japan; (D.C.J.); (L.E.B.)
- Collaborating Research Center for the Control of Infectious Diseases, Nagasaki University, Nagasaki 852-8521, Japan
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Grijalva CG, Feldstein LR, Talbot HK, Aboodi M, Baughman AH, Brown SM, Casey JD, Erickson HL, Exline MC, Files DC, Gibbs KW, Ginde AA, Gong MN, Halasa N, Khan A, Lindsell CJ, Nwosu SK, Peltan ID, Prekker ME, Rice TW, Shapiro NI, Steingrub J, Stubblefield WB, Tenforde MW, Patel M, Self WH. Influenza Vaccine Effectiveness for Prevention of Severe Influenza-Associated Illness among Adults in the United States, 2019-2020: A test-negative study. Clin Infect Dis 2021; 73:1459-1468. [PMID: 34014274 DOI: 10.1093/cid/ciab462] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2021] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Influenza vaccine effectiveness (VE) against a spectrum of severe disease, including critical illness and death, remains poorly characterized. METHODS We conducted a test-negative study in an intensive care unit (ICU) network at 10 United States hospitals to evaluate VE for preventing influenza-associated severe acute respiratory infection (SARI) during the 2019-2020 season, which was characterized by circulation of drifted A/H1N1 and B-lineage viruses. Cases were adults hospitalized in the ICU and a targeted number outside the ICU (to capture a spectrum of severity) with laboratory-confirmed influenza-associated SARI. Test-negative controls were frequency-matched based on hospital, timing of admission, and care location (ICU vs non-ICU). Estimates were adjusted for age, comorbidities, and other confounders. RESULTS Among 638 patients, the median (interquartile) age was 57 (44-68) years; 286 (44.8%) patients were treated in the ICU and 42 (6.6%) died during hospitalization. Forty-five percent of cases and 61% of controls were vaccinated, which resulted in an overall VE of 32% (95% CI: 2 to 53%), including 28% (-9% to 52%) against influenza A, and 52% (13% to 74%) against influenza B. VE was higher in adults 18-49 years old (62%; 95% CI: 27% to 81%) than those 50-64 years old (20%, -48% to 57%) and ≥65 years old (-3%; 95% CI: -97% to 46%) (p=0.0789 for interaction). VE was significantly higher against influenza-associated death (80%, 95% CI: 4% to 96%) than non-fatal influenza illness. CONCLUSIONS During a season with drifted viruses, vaccination reduced severe influenza-associated illness among adults by 32%. VE was high among young adults.
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Affiliation(s)
| | - Leora R Feldstein
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - H Keipp Talbot
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Michael Aboodi
- Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York, USA
| | | | - Samuel M Brown
- Intermountain Medical Center and University of Utah, Salt Lake City, Utah, USA
| | | | - Heidi L Erickson
- Hennepin County Medical Center and the University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | | | - D Clark Files
- Wake Forest School of Medicine, Winston Salem North Carolina, USA
| | - Kevin W Gibbs
- Wake Forest School of Medicine, Winston Salem North Carolina, USA
| | - Adit A Ginde
- University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Michelle N Gong
- Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Natasha Halasa
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Akram Khan
- Oregon Health & Science University, Portland, Oregon, USA
| | | | - Samuel K Nwosu
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Ithan D Peltan
- Intermountain Medical Center and University of Utah, Salt Lake City, Utah, USA
| | - Matthew E Prekker
- Hennepin County Medical Center and the University of Minnesota Medical School, Minneapolis, Minnesota, USA
| | - Todd W Rice
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Nathan I Shapiro
- Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Jay Steingrub
- Baystate Medical Center, Springfield, Massachusetts, USA
| | | | - Mark W Tenforde
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Manish Patel
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Wesley H Self
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
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