Back

A prospective, comparative cohort analysis of influenza antibody waning in Michigan and Hong Kong during periods of low influenza circulation

Yang, Y.; Smith, M.; Ho, F.; Truscon, R.; Leung, N. H. L.; Touyon, L.; Fitzsimmons, W. J.; Callear, A.; Godonou, E.-T.; Blair, C. N.; Monto, A.; Lauring, A. S.; Cowling, B. J.; Wong, S.-S.; Martin, E. T.

2025-05-26 epidemiology
10.1101/2025.05.26.25328346 medRxiv
Show abstract

BackgroundReduced influenza transmission during the COVID-19 pandemic prompted concern about waning of population immunity that could lead to subsequent surges in circulation. We evaluated this by comparing longitudinal influenza antibody titers in Michigan and Hong Kong, two regions with reduced influenza transmission during the COVID-19 pandemic. MethodsIn two prospective cohort studies (HIVE, Michigan; EPI-HK, Hong Kong), we analyzed longitudinal serum samples collected from 2020 through 2023 from participants without documented influenza virus infection or vaccination. Sera were tested using hemagglutination inhibition assays (HAI) against relevant vaccine strains. Geometric mean titers (GMTs) and fold changes were estimated by region and time. Linear mixed-effects models were used to assess temporal trends. ResultsWe analyzed 173 sera from 57 HIVE participants and 259 sera from 60 EPI-HK participants. Initial GMTs in 2020-21 ranged from 12.3-123.4 in HIVE and 6.3-40.9 in EPI-HK (B/Yamagata-H1N1). Fold changes in GMTs ranged from 1.2-2.6 in HIVE and 0.7-1.0 in EPI-HK. In HIVE models, no significant change in HAI titers over time was detected. In EPI-HK, small but statistically significant monthly declines were observed for select H1N1 (A/Michigan) and H3N2 (A/Hong Kong) strains (e.g., A/Hong Kong: -0.98%, 95% CI: -1.82% to -0.11%). ConclusionMinimal HAI titer waning was observed in both regions. In some cases, antibody levels increased in Michigan, possibly indicating cryptic circulation of strains prior to the 2022/23 influenza season. These findings do not support an "immunity debt" during pandemic restrictions and could help explain the lack of a substantial surge in influenza impact after the COVID-19 pandemic.

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%
23.1%
2
Clinical Infectious Diseases
231 papers in training set
Top 0.6%
7.4%
3
The Journal of Infectious Diseases
182 papers in training set
Top 0.3%
7.0%
4
Vaccine
189 papers in training set
Top 0.5%
7.0%
5
BMC Medicine
163 papers in training set
Top 0.7%
5.0%
6
International Journal of Epidemiology
74 papers in training set
Top 0.4%
4.4%
50% of probability mass above
7
BMC Infectious Diseases
118 papers in training set
Top 0.8%
4.1%
8
Open Forum Infectious Diseases
134 papers in training set
Top 0.6%
3.2%
9
PLOS ONE
4510 papers in training set
Top 46%
2.4%
10
Eurosurveillance
80 papers in training set
Top 0.5%
2.1%
11
Scientific Reports
3102 papers in training set
Top 52%
1.9%
12
Vaccine: X
19 papers in training set
Top 0.1%
1.9%
13
New England Journal of Medicine
50 papers in training set
Top 0.4%
1.9%
14
Nature Communications
4913 papers in training set
Top 50%
1.7%
15
International Journal of Infectious Diseases
126 papers in training set
Top 2%
1.4%
16
Journal of Travel Medicine
18 papers in training set
Top 0.2%
1.1%
17
Wellcome Open Research
57 papers in training set
Top 1%
1.1%
18
The Lancet
16 papers in training set
Top 0.5%
0.9%
19
BMC Public Health
147 papers in training set
Top 5%
0.9%
20
eBioMedicine
130 papers in training set
Top 3%
0.8%
21
JAMA Network Open
127 papers in training set
Top 4%
0.8%
22
BMJ Open
554 papers in training set
Top 12%
0.8%
23
The American Journal of Tropical Medicine and Hygiene
60 papers in training set
Top 4%
0.8%
24
Travel Medicine and Infectious Disease
15 papers in training set
Top 0.7%
0.7%
25
EBioMedicine
39 papers in training set
Top 1%
0.7%
26
Journal of Infection
71 papers in training set
Top 3%
0.7%
27
Epidemiology and Infection
84 papers in training set
Top 3%
0.7%
28
Frontiers in Public Health
140 papers in training set
Top 8%
0.7%
29
The Lancet Regional Health - Europe
32 papers in training set
Top 0.5%
0.7%
30
The Lancet Regional Health - Americas
22 papers in training set
Top 0.4%
0.7%