Back

Estimating historical disease burden and the impact of vaccination by influenza type and subtype in the United States, 2016-2020

Morris, S. E.; Mathis, S. M.; Chung, J. R.; Flannery, B.; O'Halloran, A.; Cummings, C. N.; Garg, S.; Lu, P.-J.; Santibanez, T. A.; Reed, C.; Biggerstaff, M.; Iuliano, A. D.

2024-10-28 epidemiology
10.1101/2024.10.25.24316040 medRxiv
Show abstract

Seasonal influenza causes substantial morbidity and mortality in the United States. The U.S. Centers for Disease Control and Prevention (CDC) uses a compartmental framework to estimate the annual disease burden and burden prevented by vaccination for all influenza types and subtypes combined. However, these estimates do not capture underlying shifts in disease burden caused by different circulating influenza virus types or subtypes. We demonstrate an extension of the current framework to estimate disease burden and burden prevented by vaccination for influenza A virus subtypes A(H1N1) and A(H3N2), and influenza type B viruses. We applied this method to data from the 2016/17 to 2019/20 seasons that include age- and virus-specific hospitalizations and vaccine effectiveness estimates, and age-specific vaccination coverage estimates. We estimated the number of symptomatic illnesses, medically-attended illnesses, hospitalizations, and deaths caused by each virus, and the corresponding number prevented by vaccination. Disease burden and vaccine-prevented burden varied substantially by season, age, and virus type or subtype. The greatest disease burden was estimated in 2017/18, whereas 2019/20 had the greatest burden prevented by vaccination. Influenza A viruses contributed most to disease burden in all seasons. Vaccination against influenza B viruses prevented the largest percentage of hospitalizations among children and adults <65 years, whereas vaccination against A(H1N1) prevented the largest percentage of hospitalizations among adults [&ge;]65 years. Overall, our results highlight complex variability in influenza disease burden by season, age, and virus type and subtype. These findings can be used to improve understanding of the factors impacting influenza disease burden each season and to enhance communications of the value of influenza vaccination. HighlightsO_LIEstimates of disease burden and vaccine-prevented burden inform influenza guidance. C_LIO_LIContributions to burden from each virus type and subtype vary by season and age. C_LIO_LIA(H3N2) caused the greatest total disease burden from the 2016/17 to 2019/20 seasons. C_LIO_LIChildren <18 years experienced greater influenza B burden compared with other ages. C_LIO_LIVaccination against A(H1N1) and B prevented the greatest percentage of severe disease. C_LI

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Influenza and Other Respiratory Viruses
44 papers in training set
Top 0.1%
23.4%
2
Clinical Infectious Diseases
231 papers in training set
Top 0.3%
10.5%
3
Vaccine
189 papers in training set
Top 0.6%
4.5%
4
Scientific Reports
3102 papers in training set
Top 29%
4.1%
5
American Journal of Epidemiology
57 papers in training set
Top 0.2%
4.1%
6
PLOS ONE
4510 papers in training set
Top 37%
3.7%
50% of probability mass above
7
Vaccine: X
19 papers in training set
Top 0.1%
3.7%
8
Viruses
318 papers in training set
Top 1%
3.7%
9
Open Forum Infectious Diseases
134 papers in training set
Top 0.6%
3.2%
10
The Journal of Infectious Diseases
182 papers in training set
Top 2%
2.2%
11
Frontiers in Public Health
140 papers in training set
Top 3%
2.2%
12
Wellcome Open Research
57 papers in training set
Top 0.5%
2.2%
13
Infectious Disease Modelling
50 papers in training set
Top 0.7%
1.8%
14
PLOS Computational Biology
1633 papers in training set
Top 15%
1.8%
15
Epidemics
104 papers in training set
Top 0.9%
1.7%
16
International Journal of Epidemiology
74 papers in training set
Top 1%
1.7%
17
BMC Medicine
163 papers in training set
Top 4%
1.5%
18
JMIR Public Health and Surveillance
45 papers in training set
Top 2%
1.4%
19
Journal of Clinical Medicine
91 papers in training set
Top 5%
0.9%
20
Epidemiology
26 papers in training set
Top 0.4%
0.9%
21
BMC Infectious Diseases
118 papers in training set
Top 4%
0.9%
22
International Journal of Infectious Diseases
126 papers in training set
Top 3%
0.8%
23
JAMA Network Open
127 papers in training set
Top 4%
0.8%
24
Journal of Proteome Research
215 papers in training set
Top 2%
0.7%
25
Journal of Travel Medicine
18 papers in training set
Top 0.4%
0.7%
26
BMJ Open
554 papers in training set
Top 14%
0.5%
27
Journal of The Royal Society Interface
189 papers in training set
Top 6%
0.5%