Literature DB >> 30763298

Interim Estimates of 2018-19 Seasonal Influenza Vaccine Effectiveness - United States, February 2019.

Joshua D Doyle, Jessie R Chung, Sara S Kim, Manjusha Gaglani, Chandni Raiyani, Richard K Zimmerman, Mary Patricia Nowalk, Michael L Jackson, Lisa A Jackson, Arnold S Monto, Emily T Martin, Edward A Belongia, Huong Q McLean, Angie Foust, Wendy Sessions, LaShondra Berman, Rebecca J Garten, John R Barnes, David E Wentworth, Alicia M Fry, Manish M Patel, Brendan Flannery.   

Abstract

In the United States, annual vaccination against seasonal influenza is recommended for all persons aged ≥6 months (https://www.cdc.gov/flu/protect/whoshouldvax.htm). Effectiveness of seasonal influenza vaccine varies by season. During each influenza season since 2004-05, CDC has estimated the effectiveness of seasonal influenza vaccine to prevent laboratory-confirmed influenza associated with medically attended acute respiratory illness (ARI). This interim report uses data from 3,254 children and adults enrolled in the U.S. Influenza Vaccine Effectiveness Network (U.S. Flu VE Network) during November 23, 2018-February 2, 2019. During this period, overall adjusted vaccine effectiveness against all influenza virus infection associated with medically attended ARI was 47% (95% confidence interval [CI] = 34%-57%). For children aged 6 months-17 years, overall vaccine effectiveness was 61% (44%-73%). Seventy-four percent of influenza A infections for which subtype information was available were caused by A(H1N1)pdm09 viruses. Vaccine effectiveness was estimated to be 46% (30%-58%) against illness caused by influenza A(H1N1)pdm09 viruses. CDC recommends that health care providers continue to administer influenza vaccine because influenza activity is ongoing and the vaccine can still prevent illness, hospitalization, and death associated with currently circulating influenza viruses, or other influenza viruses that might circulate later in the season. During the 2017-18 influenza season, in which influenza A(H3N2) predominated, vaccination was estimated to prevent 7.1 million illnesses, 3.7 million medical visits, 109,000 hospitalizations, and 8,000 deaths (1). Vaccination can also reduce the severity of influenza-associated illness (2). Persons aged ≥6 months who have not yet been vaccinated this season should be vaccinated.

Entities:  

Mesh:

Substances:

Year:  2019        PMID: 30763298      PMCID: PMC6375657          DOI: 10.15585/mmwr.mm6806a2

Source DB:  PubMed          Journal:  MMWR Morb Mortal Wkly Rep        ISSN: 0149-2195            Impact factor:   35.301


In the United States, annual vaccination against seasonal influenza is recommended for all persons aged ≥6 months (https://www.cdc.gov/flu/protect/whoshouldvax.htm). Effectiveness of seasonal influenza vaccine varies by season. During each influenza season since 2004–05, CDC has estimated the effectiveness of seasonal influenza vaccine to prevent laboratory-confirmed influenza associated with medically attended acute respiratory illness (ARI). This interim report uses data from 3,254 children and adults enrolled in the U.S. Influenza Vaccine Effectiveness Network (U.S. Flu VE Network) during November 23, 2018–February 2, 2019. During this period, overall adjusted vaccine effectiveness against all influenza virus infection associated with medically attended ARI was 47% (95% confidence interval [CI] = 34%–57%). For children aged 6 months–17 years, overall vaccine effectiveness was 61% (44%–73%). Seventy-four percent of influenza A infections for which subtype information was available were caused by A(H1N1)pdm09 viruses. Vaccine effectiveness was estimated to be 46% (30%–58%) against illness caused by influenza A(H1N1)pdm09 viruses. CDC recommends that health care providers continue to administer influenza vaccine because influenza activity is ongoing and the vaccine can still prevent illness, hospitalization, and death associated with currently circulating influenza viruses, or other influenza viruses that might circulate later in the season. During the 2017–18 influenza season, in which influenza A(H3N2) predominated, vaccination was estimated to prevent 7.1 million illnesses, 3.7 million medical visits, 109,000 hospitalizations, and 8,000 deaths (). Vaccination can also reduce the severity of influenza-associated illness (). Persons aged ≥6 months who have not yet been vaccinated this season should be vaccinated. Methods used by the U.S. Flu VE Network have been published previously (). At five study sites (Michigan, Pennsylvania, Texas, Washington, and Wisconsin), patients aged ≥6 months seeking outpatient medical care for an ARI with cough within 7 days of illness onset were enrolled. Study enrollment began after local surveillance identified increasing weekly influenza activity or one or more laboratory-confirmed cases of influenza per week for 2 consecutive weeks. Patients were eligible for enrollment if they met the following criteria: 1) were aged ≥6 months on September 1, 2018, and thus eligible for vaccination; 2) reported an ARI with cough with onset ≤7 days; and 3) had not been treated with influenza antiviral medication (e.g., oseltamivir) during this illness. After obtaining informed consent from patients or their guardians, participants or their proxies were interviewed to collect demographic data, information on general and current health status and symptoms, and 2018–19 influenza vaccination status. Nasal and oropharyngeal swabs (or nasal swabs alone for children aged <2 years) were collected to obtain respiratory specimens. Nasal and oropharyngeal swabs were placed together in a single tube of viral transport medium and tested at U.S. Flu VE Network laboratories using CDC’s real-time reverse transcription–polymerase chain reaction (real-time RT-PCR) protocol for detection and identification of influenza viruses. Participants (including children aged <9 years, who require 2 vaccine doses during their first vaccination season) were considered vaccinated if they received ≥1 dose of any seasonal influenza vaccine ≥14 days before illness onset, according to medical records and registries (at the Wisconsin site); medical records and self-report (at the Pennsylvania, Texas, and Washington sites); or self-report only (at the Michigan site). Vaccine effectiveness against all influenza virus types combined and against viruses by type/subtype was estimated as 100% x (1 - odds ratio).* Estimates were adjusted for study site, age group, sex, race/ethnicity, self-rated general health, number of days from illness onset to enrollment, and month of illness (4-week intervals) using logistic regression. Interim vaccine effectiveness estimates for the 2018–19 season were based on patients enrolled through February 2, 2019. Among the 3,254 children and adults with ARI enrolled at the five study sites from November 23, 2018, through February 2, 2019, a total of 465 (14%) tested positive for influenza virus by real time RT-PCR, including 456 (98%) for influenza A viruses and nine (2%) for influenza B viruses (Table 1). Among 394 subtyped influenza A viruses, 293 (74%) were A(H1N1)pdm09 viruses, and 101 (26%) were A(H3N2) viruses. Of the eight influenza B viruses with lineage information available, four belonged to the B/Victoria lineage and four belonged to the B/Yamagata lineage. The proportion of patients with influenza differed by study site, age group, self-rated health status, and interval from illness onset to enrollment. The percentage of all ARI patients who were vaccinated ranged from 46% to 61% among study sites and differed by study site, sex, age group, race/ethnicity, and interval from illness onset to enrollment.
TABLE 1

Influenza test results and seasonal vaccination status among patients with medically attended acute respiratory illness (N = 3,254), by selected characteristics — U.S. Influenza Vaccine Effectiveness Network, November 23, 2018—February 2, 2019*

CharacteristicTest result status
Vaccination status
Influenza-positive
no. (%)Influenza-negative
no. (%)P-value§No. of patientsVaccinated
No. (%)P-value§
Overall
465 (14)
2,789 (86)

3,254
1,789 (55)

Study site
Michigan
76 (15)
438 (85)
0.006
514
314 (61)
<0.001
Pennsylvania
101 (17)
511 (83)
612
335 (55)
Texas
72 (10)
637 (90)
709
327 (46)
Washington
171 (16)
915 (84)
1,086
647 (60)
Wisconsin
45 (14)
288 (86)
333
166 (50)
Sex
Male
208 (16)
1,128 (84)
0.08
1,336
704 (53)
0.03
Female
257 (13)
1,660 (87)
1,917
1,084 (57)
Age group
6 mos–8 yrs
118 (15)
689 (85)
0.03
807
453 (56)
<0.001
9–17 yrs
55 (19)
237 (81)
292
120 (41)
18–49 yrs
166 (15)
932 (85)
1,098
461 (42)
50–64 yrs
75 (13)
520 (87)
595
369 (62)
≥65 yrs
51 (11)
411 (89)
462
386 (84)
Race/Ethnicity
White
296 (14)
1,895 (86)
0.33
2,191
1,275 (58)
<0.001
Black
63 (17)
318 (83)
381
165 (43)
Other race
53 (15)
290 (85)
343
199 (58)
Hispanic
51 (16)
277 (84)
328
143 (44)
Self-rated health status
Fair/Poor
21 (9)
223 (91)
0.003
244
145 (59)
0.12
Good
105 (13)
723 (87)
828
475 (57)
Very good
177 (14)
1,050 (86)
1,227
651 (53)
Excellent
162 (17)
791 (83)
953
517 (54)
Illness onset to enrollment (days)
<3
191 (19)
795 (81)
<0.001
986
509 (52)
0.01
3–4
176 (15)
1,037 (85)
1,213
666 (55)
5–7
98 (9)
957 (91)
1,055
614 (58)
Influenza test result
Negative

2,789
2,789
1,591 (57)
Influenza B positive
9 (2)

9
3 (33)
  B/Yamagata
4 (50)**

4
2 (50)
  B/Victoria
4 (50)**

4
1 (25)
  B lineage pending
1 (—)

1
0 (0)
Influenza A positive
456 (98)

456
195 (43)
  A (H1N1)pdm09
293 (74)††

293
125 (43)
  A (H3N2)
101 (26)††

101
42 (42)
  A subtype pending62 (—)6228 (45)

* Sex was unknown for one patient, race/ethnicity for 11 patients, and self-rated health status for two patients.

† Defined as having received ≥1 dose of influenza vaccine ≥14 days before illness onset. A total of 78 participants who received the vaccine ≤13 days before illness onset were excluded from the study sample.

§ The chi-square statistic was used to assess differences between the numbers of persons with influenza-negative and influenza-positive test results, in the distribution of enrolled patient and illness characteristics, and in differences between groups in the percentage vaccinated.

¶ Patients were categorized into one of four mutually exclusive racial/ethnic populations: white, black, other race, and Hispanic. Persons identifying as Hispanic might have been of any race. Persons identifying as white, black, or other race were non-Hispanic.

** Percentage for which lineage information was available (n = 8).

†† Percentage for which subtype information was available (n = 394).

* Sex was unknown for one patient, race/ethnicity for 11 patients, and self-rated health status for two patients. † Defined as having received ≥1 dose of influenza vaccine ≥14 days before illness onset. A total of 78 participants who received the vaccine ≤13 days before illness onset were excluded from the study sample. § The chi-square statistic was used to assess differences between the numbers of persons with influenza-negative and influenza-positive test results, in the distribution of enrolled patient and illness characteristics, and in differences between groups in the percentage vaccinated. ¶ Patients were categorized into one of four mutually exclusive racial/ethnic populations: white, black, other race, and Hispanic. Persons identifying as Hispanic might have been of any race. Persons identifying as white, black, or other race were non-Hispanic. ** Percentage for which lineage information was available (n = 8). †† Percentage for which subtype information was available (n = 394). Among participants, 43% of those with influenza had received the 2018–19 seasonal influenza vaccine, compared with 57% of influenza-negative participants (Table 2). The adjusted vaccine effectiveness against medically attended ARI caused by all influenza virus types combined was 47% (95% CI = 34%–57%). Vaccine effectiveness for all ages was 46% (30%–58%) against medically attended ARI caused by A(H1N1)pdm09 virus infection and 44% (13%–64%) against influenza A(H3N2) virus infection. Among children aged 6 months–17 years, vaccine effectiveness against all influenza virus types was 61% (44%–73%), and effectiveness against influenza A(H1N1)pdm09 was 62% (40%–75%). Among adults ≥50 years, vaccine effectiveness against all influenza types and influenza A(H1N1)pdm09 was 24%(-15% to 51%) and 8% (-59% to 46%), respectively; neither were significant.
TABLE 2

Number and percentage outpatients with acute respiratory illness and cough (N = 3,254) receiving 2018–19 seasonal influenza vaccine, by influenza test result status, age group, and vaccine effectiveness* against all influenza A and B and against virus type A(H1N1)pdm09 — U.S. Influenza Vaccine Effectiveness Network, November 23, 2018–February 2, 2019

Influenza type/Age groupInfluenza-positive
Influenza-negative
Vaccine effectiveness*
TotalVaccinated
no. (%)TotalVaccinated
no. (%)Unadjusted
% (95% CI)Adjusted
% (95% CI)
Influenza A and B
Overall
465
198 (43)
2,789
1,591 (57)
44 (32 to 54)
47 (34 to 57)§
Age group
  6 mos–17 yrs
173
58 (34)
926
515 (56)
60 (43 to 71)
61 (44 to 73)§
  18–49 yrs
166
58 (35)
932
403 (43)
30 (1 to 50)
37 (9 to 56)§
  ≥50 yrs
126
82 (65)
931
673 (72)
29 (-6 to 52)
24 (-15 to 51)
Influenza A(H3N2)
Overall
101
42 (42)
2,789
1,591 (57)
46 (20 to 64)
44 (13 to 64)§
Influenza A(H1N1)pdm09
Overall
293
125 (43)
2,789
1,591 (57)
44 (29 to 56)
46 (30 to 58)§
Age group
  6 mos–17 yrs
106
37 (35)
926
515 (56)
57 (35 to 72)
62 (40 to 75)§
  18–49 yrs
113
38 (34)
932
403 (43)
33 (0 to 56)
45 (14 to 64)§
  ≥50 yrs7450 (68)931673 (72)20 (-33 to 52)8 (-59 to 46)

* Vaccine effectiveness was estimated as 100% x (1 - odds ratio [ratio of odds of being vaccinated among outpatients with influenza-positive test results to the odds of being vaccinated among outpatients with influenza-negative test results]); odds ratios were estimated using logistic regression.

† Adjusted for study site, age group, sex, race/ethnicity, self-rated general health, number of days from illness onset to enrollment, and month of illness (4-week intervals) using logistic regression.

§ Statistically significant at p<0.05.

* Vaccine effectiveness was estimated as 100% x (1 - odds ratio [ratio of odds of being vaccinated among outpatients with influenza-positive test results to the odds of being vaccinated among outpatients with influenza-negative test results]); odds ratios were estimated using logistic regression. † Adjusted for study site, age group, sex, race/ethnicity, self-rated general health, number of days from illness onset to enrollment, and month of illness (4-week intervals) using logistic regression. § Statistically significant at p<0.05.

Discussion

Influenza activity remains elevated in the United States (). Overall, influenza A(H1N1)pdm09 viruses have predominated in most of the country, although circulation of influenza A(H3N2) and low levels of influenza B viruses have also been observed. Effectiveness of influenza vaccines in reducing the risk for medically attended influenza illness has ranged from approximately 40%–60% across all ages during seasons when most circulating influenza viruses are antigenically like the recommended influenza vaccine components. The overall interim estimate of 47% vaccine effectiveness against influenza A(H1N1)pdm09 in all age groups is similar to that observed during the most recent A(H1N1)pdm09 predominant season (45%) in 2015–16 (), but lower than a meta-analysis of vaccine effectiveness against A(H1N1)pdm09 since the 2010–11 season in the United States (). This interim estimate also is lower than the recently reported interim estimates of 72% effectiveness against A(H1N1)pdm09 in Canada during the 2018–19 season () and 78% against A(H1N1)pdm09 in Australia during the 2018 Southern Hemisphere influenza season (). The reasons for these differences might include limited sample size caused by low attack rates in some age groups, geographic differences in circulating viruses, and genetic variation within virus subtypes (). Of note, vaccine effectiveness against A(H1N1)pdm09 among children and adolescents aged 6 months–17 years (62%) was similar to that observed during the 2015–16 season in this age group (49%–63%) (). Among adults aged ≥50 years, interim estimates of effectiveness were not significant. Vaccine effectiveness against A(H3N2) virus infection was 44% (95% CI = 13%–64%) but a limited number of A(H3N2) viruses were detected. Several more weeks of influenza are likely, and CDC continues to recommend influenza vaccination while influenza viruses are circulating in the community. Vaccination can protect against infection with influenza viruses that are currently circulating, as well as those that may circulate later in the season. Vaccination remains the best method for preventing influenza and its potentially serious complications, including those that can result in hospitalization and death. In particular, vaccination has been found to reduce the risk for influenza-associated deaths in children (). During past seasons, including the 2017–18 season, approximately 80% of reported pediatric influenza-associated deaths have occurred in children who were not vaccinated. Vaccination also has been found to reduce the risk for influenza-associated hospitalization in pregnant women () and can reduce the risk for cardiac events among persons with heart disease (). CDC recommends antiviral treatment for any patient with suspected or confirmed influenza who is hospitalized, has severe or progressive illness, or is at high risk for complications from influenza, regardless of vaccination status or results of point-of-care influenza diagnostic tests. Antiviral treatment also can be considered for any previously healthy symptomatic outpatient not at high risk for complications, with confirmed or suspected influenza, if treatment can be started within 48 hours of illness onset. The findings in this report are subject to at least four limitations. First, sample sizes are smaller than in recent interim reports, resulting in wide confidence intervals, particularly in adults aged ≥50 years. The small sample size also limits the number of age groups included in this analysis. This limitation is common among interim vaccine effectiveness reports during mild or late influenza seasons. End-of-season vaccine effectiveness estimates could change as additional patient data become available or if a change in circulating viruses occurs later in the season. Second, vaccination status included self-report at four of five sites; end-of-season vaccine effectiveness estimates based on updated documentation of vaccination status might differ from interim estimates. For this reason, the type of vaccine received by participants (e.g., egg-based, cell culture–based, or recombinant antigen) is not available at this time, although this information will be updated at the end of the season. Third, an observational study design has greater potential for confounding and bias than do randomized clinical trials. However, the test-negative design is widely used in vaccine effectiveness studies and has been used by the U.S. Flu VE Network to estimate vaccine effectiveness for previous influenza seasons. Finally, the vaccine effectiveness estimates in this report are limited to the prevention of outpatient medical visits rather than more severe illness outcomes, such as hospitalization or death; data from studies measuring vaccine effectiveness against more severe outcomes will be available at a later date. Vaccination prevents a substantial number of influenza-related illnesses, hospitalizations, and deaths annually. However, better protection and improved vaccination coverage are needed to realize the full potential of influenza vaccines. Evaluation of influenza vaccine effectiveness is an essential component of ongoing efforts to improve influenza vaccines. Influenza activity remains elevated in the United States, highlighting the importance of vaccination. CDC will continue to monitor influenza disease throughout the season to better understand the impact of vaccination, identify factors associated with reduced protection, and support efforts to improve influenza vaccines.

What is already known about this topic?

Annual vaccination against seasonal influenza is recommended for all U.S. persons aged ≥6 months. Effectiveness of seasonal influenza vaccine varies by season.

What is added by this report?

On the basis of data from the U.S. Influenza Vaccine Effectiveness Network on 3,254 children and adults with acute respiratory illness during November 23, 2018–February 2, 2019, the overall estimated effectiveness of seasonal influenza vaccine for preventing medically attended, laboratory-confirmed influenza virus infection was 47%.

What are the implications for public health practice?

Vaccination remains the best way to protect against influenza and its potentially serious complications. CDC continues to recommend influenza vaccination while influenza viruses are circulating in the community.
  8 in total

Review 1.  Variable influenza vaccine effectiveness by subtype: a systematic review and meta-analysis of test-negative design studies.

Authors:  Edward A Belongia; Melissa D Simpson; Jennifer P King; Maria E Sundaram; Nicholas S Kelley; Michael T Osterholm; Huong Q McLean
Journal:  Lancet Infect Dis       Date:  2016-04-06       Impact factor: 25.071

2.  Influenza Vaccination Modifies Disease Severity Among Community-dwelling Adults Hospitalized With Influenza.

Authors:  Carmen Arriola; Shikha Garg; Evan J Anderson; Patrician A Ryan; Andrea George; Shelley M Zansky; Nancy Bennett; Arthur Reingold; Marisa Bargsten; Lisa Miller; Kimberly Yousey-Hindes; Lilith Tatham; Susan R Bohm; Ruth Lynfield; Ann Thomas; Mary Lou Lindegren; William Schaffner; Alicia M Fry; Sandra S Chaves
Journal:  Clin Infect Dis       Date:  2017-10-15       Impact factor: 9.079

3.  Association between influenza vaccination and cardiovascular outcomes in high-risk patients: a meta-analysis.

Authors:  Jacob A Udell; Rami Zawi; Deepak L Bhatt; Maryam Keshtkar-Jahromi; Fiona Gaughran; Arintaya Phrommintikul; Andrzej Ciszewski; Hossein Vakili; Elaine B Hoffman; Michael E Farkouh; Christopher P Cannon
Journal:  JAMA       Date:  2013-10-23       Impact factor: 56.272

4.  Influenza Vaccine Effectiveness Against Pediatric Deaths: 2010-2014.

Authors:  Brendan Flannery; Sue B Reynolds; Lenee Blanton; Tammy A Santibanez; Alissa O'Halloran; Peng-Jun Lu; Jufu Chen; Ivo M Foppa; Paul Gargiullo; Joseph Bresee; James A Singleton; Alicia M Fry
Journal:  Pediatrics       Date:  2017-04-03       Impact factor: 7.124

5.  Influenza Vaccine Effectiveness in the United States during the 2015-2016 Season.

Authors:  Michael L Jackson; Jessie R Chung; Lisa A Jackson; C Hallie Phillips; Joyce Benoit; Arnold S Monto; Emily T Martin; Edward A Belongia; Huong Q McLean; Manjusha Gaglani; Kempapura Murthy; Richard Zimmerman; Mary P Nowalk; Alicia M Fry; Brendan Flannery
Journal:  N Engl J Med       Date:  2017-08-10       Impact factor: 91.245

6.  Influenza Vaccine Effectiveness in Preventing Influenza-associated Hospitalizations During Pregnancy: A Multi-country Retrospective Test Negative Design Study, 2010-2016.

Authors:  Mark G Thompson; Jeffrey C Kwong; Annette K Regan; Mark A Katz; Steven J Drews; Eduardo Azziz-Baumgartner; Nicola P Klein; Hannah Chung; Paul V Effler; Becca S Feldman; Kimberley Simmonds; Brandy E Wyant; Fatimah S Dawood; Michael L Jackson; Deshayne B Fell; Avram Levy; Noam Barda; Lawrence W Svenson; Rebecca V Fink; Sarah W Ball; Allison Naleway
Journal:  Clin Infect Dis       Date:  2019-04-24       Impact factor: 9.079

7.  Interim estimates of 2018/19 vaccine effectiveness against influenza A(H1N1)pdm09, Canada, January 2019.

Authors:  Danuta M Skowronski; Siobhan Leir; Suzana Sabaiduc; Michelle Murti; James A Dickinson; Romy Olsha; Jonathan B Gubbay; Matthew A Croxen; Hugues Charest; Tracy Chan; Nathalie Bastien; Yan Li; Mel Krajden; Gaston De Serres
Journal:  Euro Surveill       Date:  2019-01

8.  Update: Influenza Activity - United States, September 30, 2018-February 2, 2019.

Authors:  Lenee Blanton; Vivien G Dugan; Anwar Isa Abd Elal; Noreen Alabi; John Barnes; Lynnette Brammer; Alicia P Budd; Erin Burns; Charisse N Cummings; Shikha Garg; Rebecca Garten; Larisa Gubareva; Krista Kniss; Natalie Kramer; Alissa O'Halloran; Carrie Reed; Melissa Rolfes; Wendy Sessions; Calli Taylor; Xiyan Xu; Alicia M Fry; David E Wentworth; Jacqueline Katz; Daniel Jernigan
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2019-02-15       Impact factor: 17.586

  8 in total
  27 in total

1.  Genome characterization and mutation analysis of human influenza A virus in Thailand.

Authors:  Somruthai Rattanaburi; Vorthon Sawaswong; Pattaraporn Nimsamer; Oraphan Mayuramart; Pavaret Sivapornnukul; Ariya Khamwut; Prangwalai Chanchaem; Kritsada Kongnomnan; Nungruthai Suntronwong; Yong Poovorawan; Sunchai Payungporn
Journal:  Genomics Inform       Date:  2022-06-30

2.  Varying Vaccination Rates Among Patients Seeking Care for Acute Respiratory Illness: A Systematic Review and Meta-analysis.

Authors:  Fadi Shehadeh; Ioannis M Zacharioudakis; Markos Kalligeros; Evangelia K Mylona; Tanka Karki; Robertus van Aalst; Ayman Chit; Eleftherios Mylonakis
Journal:  Open Forum Infect Dis       Date:  2020-06-19       Impact factor: 3.835

3.  Influenza vaccine effectiveness and disease burden in children and adolescents with sickle cell disease: 2012-2017.

Authors:  Carol M Kao; Kristina Lai; John M McAteer; Mohnd Elmontser; Elizabeth M Quincer; Marianne E M Yee; Ashley Tippet; Robert C Jerris; Peter A Lane; Evan J Anderson; Nitya Bakshi; Inci Yildirim
Journal:  Pediatr Blood Cancer       Date:  2020-05-29       Impact factor: 3.167

4.  Incorporating Real-time Influenza Detection Into the Test-negative Design for Estimating Influenza Vaccine Effectiveness: The Real-time Test-negative Design (rtTND).

Authors:  Leora R Feldstein; Wesley H Self; Jill M Ferdinands; Adrienne G Randolph; Michael Aboodi; Adrienne H Baughman; Samuel M Brown; Matthew C Exline; D Clark Files; Kevin Gibbs; Adit A Ginde; Michelle N Gong; Carlos G Grijalva; Natasha Halasa; Akram Khan; Christopher J Lindsell; Margaret Newhams; Ithan D Peltan; Matthew E Prekker; Todd W Rice; Nathan I Shapiro; Jay Steingrub; H Keipp Talbot; M Elizabeth Halloran; Manish Patel
Journal:  Clin Infect Dis       Date:  2021-05-04       Impact factor: 9.079

5.  Sample size considerations for mid-season estimates from a large influenza vaccine effectiveness network in the United States.

Authors:  Jessie R Chung; Brendan Flannery; Sara S Kim; Manjusha Gaglani; Chandni Raiyani; Edward A Belongia; Huong Q McLean; Mary Patricia Nowalk; Richard K Zimmerman; Michael L Jackson; Lisa A Jackson; Emily T Martin; Arnold S Monto; Manish Patel
Journal:  Vaccine       Date:  2021-05-13       Impact factor: 4.169

6.  Human placental hematopoietic stem cell derived natural killer cells (CYNK-001) mediate protection against influenza a viral infection.

Authors:  Joseph Gleason; Yuechao Zhao; Irene Raitman; Lin Kang; Shuyang He; Robert Hariri
Journal:  Hum Vaccin Immunother       Date:  2022-04-11       Impact factor: 4.526

7.  Interim 2018/19 influenza vaccine effectiveness: six European studies, October 2018 to January 2019.

Authors:  Esther Kissling; Angela Rose; Hanne-Dorthe Emborg; Alin Gherasim; Richard Pebody; Francisco Pozo; Ramona Trebbien; Clara Mazagatos; Heather Whitaker; Marta Valenciano
Journal:  Euro Surveill       Date:  2019-02

8.  Children under 10 years of age were more affected by the 2018/19 influenza A(H1N1)pdm09 epidemic in Canada: ‎possible cohort effect following the 2009 influenza pandemic.

Authors:  Danuta M Skowronski; Siobhan Leir; Gaston De Serres; Michelle Murti; James A Dickinson; Anne-Luise Winter; Romy Olsha; Matthew A Croxen; Steven J Drews; Hugues Charest; Christine Martineau; Suzana Sabaiduc; Nathalie Bastien; Yan Li; Martin Petric; Agatha Jassem; Mel Krajden; Jonathan B Gubbay
Journal:  Euro Surveill       Date:  2019-04

9.  Effects of Influenza Vaccination in the United States During the 2018-2019 Influenza Season.

Authors:  Jessie R Chung; Melissa A Rolfes; Brendan Flannery; Pragati Prasad; Alissa O'Halloran; Shikha Garg; Alicia M Fry; James A Singleton; Manish Patel; Carrie Reed
Journal:  Clin Infect Dis       Date:  2020-11-05       Impact factor: 20.999

Review 10.  Role of Extracellular Vesicles in Influenza Virus Infection.

Authors:  Yuan Jiang; Xiaowen Cai; Jiwen Yao; Huanhuan Guo; Liangjun Yin; Wingnang Leung; Chuanshan Xu
Journal:  Front Cell Infect Microbiol       Date:  2020-07-21       Impact factor: 5.293

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.