Back

Disentangling infectiousness and susceptibility by age group using transmission pair data: a study of SARS-CoV-2 household transmission

Leung, K. Y.; Miura, F.; Backer, J. A.

2026-06-05 epidemiology
10.64898/2026.06.04.26354892 medRxiv
Show abstract

Background Differential contributions to transmission across age groups have been reported for many respiratory infections, including SARS-CoV-2. They are crucial for estimating the impact of age-specific interventions. Disentangling these age-dependent contributions remains challenging, as they may reflect differences in contact rates, biological susceptibility, or infectiousness. Aim We aim to jointly estimate age-specific per-contact infectiousness and susceptibility and their effect on the impact of age-specific interventions. Methods The age-specific infectiousness and susceptibility were jointly estimated in a Bayesian framework by combining contact data with transmission pair data (who-infected-whom). We applied this approach to 197,840 self-reported household transmission pairs collected in the Netherlands during the COVID-19 pandemic. Using these estimates, we projected the expected impact of school closure and work-from-home measures during the early stages of an epidemic in the absence of other interventions. Results Both infectiousness and susceptibility to SARS-CoV-2 infection were lowest in children aged 0-9 years and highest in adults over 30 years old, with 2- to 4.5-fold differences between these groups. Projected impacts of age-specific interventions indicated that school closures would reduce the reproduction number by 8% or 29% when age-specific susceptibility and infectiousness were or were not considered, respectively. Conversely, working-from-home policies would lead to reductions of 41% with and 20% without age-specific infectiousness and susceptibility. Conclusion Our method enables robust estimation of age-specific infectiousness and susceptibility. Accounting for these age heterogeneities is essential for projecting the impact of age-targeted interventions. Our approach is adaptable to other respiratory infections and can guide more tailored public health responses.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
American Journal of Epidemiology
57 papers in training set
Top 0.1%
21.5%
2
PLOS Computational Biology
1633 papers in training set
Top 2%
13.7%
3
International Journal of Epidemiology
74 papers in training set
Top 0.2%
8.7%
4
Epidemics
104 papers in training set
Top 0.1%
8.0%
50% of probability mass above
5
BMC Medicine
163 papers in training set
Top 0.7%
6.1%
6
Eurosurveillance
80 papers in training set
Top 0.2%
6.0%
7
Nature Communications
4913 papers in training set
Top 42%
3.4%
8
European Journal of Epidemiology
40 papers in training set
Top 0.2%
3.1%
9
The Lancet Public Health
20 papers in training set
Top 0.1%
2.8%
10
Scientific Reports
3102 papers in training set
Top 60%
1.6%
11
PLOS ONE
4510 papers in training set
Top 55%
1.6%
12
BMC Public Health
147 papers in training set
Top 4%
1.6%
13
Philosophical Transactions of the Royal Society B
51 papers in training set
Top 4%
1.4%
14
eLife
5422 papers in training set
Top 46%
1.4%
15
Clinical Infectious Diseases
231 papers in training set
Top 4%
1.2%
16
Journal of The Royal Society Interface
189 papers in training set
Top 4%
0.9%
17
Vaccine
189 papers in training set
Top 2%
0.8%
18
BMJ Open
554 papers in training set
Top 12%
0.8%
19
Philosophical Transactions of the Royal Society B: Biological Sciences
53 papers in training set
Top 1%
0.8%
20
Epidemiology
26 papers in training set
Top 0.5%
0.8%
21
BMC Research Notes
29 papers in training set
Top 0.7%
0.7%
22
BMC Infectious Diseases
118 papers in training set
Top 6%
0.7%
23
PLOS Genetics
756 papers in training set
Top 16%
0.7%
24
The Journal of Infectious Diseases
182 papers in training set
Top 5%
0.7%
25
Wellcome Open Research
57 papers in training set
Top 2%
0.7%
26
Swiss Medical Weekly
12 papers in training set
Top 0.4%
0.6%
27
Royal Society Open Science
193 papers in training set
Top 6%
0.6%