Respiratory syncytial virus hospitalisation by chronological month of age and by birth month in infants

Respiratory Virus Global Epidemiology Network; Ling Guo; Sebastien Kenmoe; Fuyu Miyake; Alexandria Chung; Han Zhang; Teresa Bandeira; Mauricio T Caballero; Jean-Sébastien Casalegno; Rodrigo Fasce; Chakhunashvili Giorgi; Terho Heikkinen; Q Sue Huang; Esther Nyadzua Katama; James W Keck; Enmei Liu; Josko Markic; Hannah C Moore; Jocelyn Moyes; Barbara A Rath; Candice Romero; Qianli Wang; Marta Werner; Chee Fu Yung; Harish Nair; You Li

doi:10.1038/s41467-025-61400-1

Respiratory syncytial virus hospitalisation by chronological month of age and by birth month in infants

Respiratory Virus Global Epidemiology Network, Ling Guo, Sebastien Kenmoe, Fuyu Miyake, Alexandria Chung, Han Zhang, Teresa Bandeira, Mauricio T Caballero, Jean-Sébastien Casalegno, Rodrigo Fasce, Chakhunashvili Giorgi, Terho Heikkinen, Q Sue Huang, Esther Nyadzua Katama, James W Keck, Enmei Liu, Josko Markic, Hannah C Moore, Jocelyn Moyes, Barbara A RathCandice Romero, Qianli Wang, Marta Werner, Chee Fu Yung, Harish Nair, You Li^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Abstract

Understanding the distribution of respiratory syncytial virus (RSV) disease burden by more granular age bands in infants is necessary for optimising infant RSV immunisation strategies. Using a Bayesian model, we synthesised published data from a systematic literature review and unpublished data shared by international collaborators for estimating the distribution of infant RSV hospitalisations by month of age. Based on local RSV seasonality data, we further developed and validated a web-based prediction tool for estimating infant RSV hospitalisation distribution by birth month. Although RSV hospitalisation burden mostly peaked at the second month of life and was concentrated in infants under six months globally, substantial variations were noted in the age distribution of RSV hospitalisation among infants born in different months. Passive immunisation strategies should ideally be tailored to the local RSV disease burden distribution by age and birth month to maximise their per-dose effectiveness before a universal immunisation can be achieved.

Original language	English
Article number	6109
Number of pages	13
Journal	Nature Communications
Volume	16
Issue number	1
DOIs	https://doi.org/10.1038/s41467-025-61400-1
Publication status	Published - 3 Jul 2025

Keywords / Materials (for Non-textual outputs)

Humans
Respiratory Syncytial Virus Infections/epidemiology
Hospitalization/statistics & numerical data
Infant
Seasons
Bayes Theorem
Infant, Newborn
Respiratory Syncytial Virus, Human
Age Factors

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Respiratory Virus Global Epidemiology Network, Guo, L., Kenmoe, S., Miyake, F., Chung, A., Zhang, H., Bandeira, T., Caballero, M. T., Casalegno, J.-S., Fasce, R., Giorgi, C., Heikkinen, T., Huang, Q. S., Katama, E. N., Keck, J. W., Liu, E., Markic, J., Moore, H. C., Moyes, J., ... Li, Y. (2025). Respiratory syncytial virus hospitalisation by chronological month of age and by birth month in infants. Nature Communications, 16(1), Article 6109. https://doi.org/10.1038/s41467-025-61400-1

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title = "Respiratory syncytial virus hospitalisation by chronological month of age and by birth month in infants",

abstract = "Understanding the distribution of respiratory syncytial virus (RSV) disease burden by more granular age bands in infants is necessary for optimising infant RSV immunisation strategies. Using a Bayesian model, we synthesised published data from a systematic literature review and unpublished data shared by international collaborators for estimating the distribution of infant RSV hospitalisations by month of age. Based on local RSV seasonality data, we further developed and validated a web-based prediction tool for estimating infant RSV hospitalisation distribution by birth month. Although RSV hospitalisation burden mostly peaked at the second month of life and was concentrated in infants under six months globally, substantial variations were noted in the age distribution of RSV hospitalisation among infants born in different months. Passive immunisation strategies should ideally be tailored to the local RSV disease burden distribution by age and birth month to maximise their per-dose effectiveness before a universal immunisation can be achieved.",

keywords = "Humans, Respiratory Syncytial Virus Infections/epidemiology, Hospitalization/statistics \& numerical data, Infant, Seasons, Bayes Theorem, Infant, Newborn, Respiratory Syncytial Virus, Human, Age Factors",

author = "\{Respiratory Virus Global Epidemiology Network\} and Ling Guo and Sebastien Kenmoe and Fuyu Miyake and Alexandria Chung and Han Zhang and Teresa Bandeira and Caballero, \{Mauricio T\} and Jean-S{\'e}bastien Casalegno and Rodrigo Fasce and Chakhunashvili Giorgi and Terho Heikkinen and Huang, \{Q Sue\} and Katama, \{Esther Nyadzua\} and Keck, \{James W\} and Enmei Liu and Josko Markic and Moore, \{Hannah C\} and Jocelyn Moyes and Rath, \{Barbara A\} and Candice Romero and Qianli Wang and Marta Werner and Yung, \{Chee Fu\} and Harish Nair and You Li",

note = "{\textcopyright} 2025. The Author(s).",

year = "2025",

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doi = "10.1038/s41467-025-61400-1",

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issn = "2041-1723",

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Respiratory Virus Global Epidemiology Network, Guo, L, Kenmoe, S, Miyake, F, Chung, A, Zhang, H, Bandeira, T, Caballero, MT, Casalegno, J-S, Fasce, R, Giorgi, C, Heikkinen, T, Huang, QS, Katama, EN, Keck, JW, Liu, E, Markic, J, Moore, HC, Moyes, J, Rath, BA, Romero, C, Wang, Q, Werner, M, Yung, CF, Nair, H & Li, Y 2025, 'Respiratory syncytial virus hospitalisation by chronological month of age and by birth month in infants', Nature Communications, vol. 16, no. 1, 6109. https://doi.org/10.1038/s41467-025-61400-1

TY - JOUR

T1 - Respiratory syncytial virus hospitalisation by chronological month of age and by birth month in infants

AU - Respiratory Virus Global Epidemiology Network

AU - Guo, Ling

AU - Kenmoe, Sebastien

AU - Miyake, Fuyu

AU - Chung, Alexandria

AU - Zhang, Han

AU - Bandeira, Teresa

AU - Caballero, Mauricio T

AU - Casalegno, Jean-Sébastien

AU - Fasce, Rodrigo

AU - Giorgi, Chakhunashvili

AU - Heikkinen, Terho

AU - Huang, Q Sue

AU - Katama, Esther Nyadzua

AU - Keck, James W

AU - Liu, Enmei

AU - Markic, Josko

AU - Moore, Hannah C

AU - Moyes, Jocelyn

AU - Rath, Barbara A

AU - Romero, Candice

AU - Wang, Qianli

AU - Werner, Marta

AU - Yung, Chee Fu

AU - Nair, Harish

AU - Li, You

PY - 2025/7/3

Y1 - 2025/7/3

N2 - Understanding the distribution of respiratory syncytial virus (RSV) disease burden by more granular age bands in infants is necessary for optimising infant RSV immunisation strategies. Using a Bayesian model, we synthesised published data from a systematic literature review and unpublished data shared by international collaborators for estimating the distribution of infant RSV hospitalisations by month of age. Based on local RSV seasonality data, we further developed and validated a web-based prediction tool for estimating infant RSV hospitalisation distribution by birth month. Although RSV hospitalisation burden mostly peaked at the second month of life and was concentrated in infants under six months globally, substantial variations were noted in the age distribution of RSV hospitalisation among infants born in different months. Passive immunisation strategies should ideally be tailored to the local RSV disease burden distribution by age and birth month to maximise their per-dose effectiveness before a universal immunisation can be achieved.

AB - Understanding the distribution of respiratory syncytial virus (RSV) disease burden by more granular age bands in infants is necessary for optimising infant RSV immunisation strategies. Using a Bayesian model, we synthesised published data from a systematic literature review and unpublished data shared by international collaborators for estimating the distribution of infant RSV hospitalisations by month of age. Based on local RSV seasonality data, we further developed and validated a web-based prediction tool for estimating infant RSV hospitalisation distribution by birth month. Although RSV hospitalisation burden mostly peaked at the second month of life and was concentrated in infants under six months globally, substantial variations were noted in the age distribution of RSV hospitalisation among infants born in different months. Passive immunisation strategies should ideally be tailored to the local RSV disease burden distribution by age and birth month to maximise their per-dose effectiveness before a universal immunisation can be achieved.

KW - Humans

KW - Respiratory Syncytial Virus Infections/epidemiology

KW - Hospitalization/statistics & numerical data

KW - Infant

KW - Seasons

KW - Bayes Theorem

KW - Infant, Newborn

KW - Respiratory Syncytial Virus, Human

KW - Age Factors

U2 - 10.1038/s41467-025-61400-1

DO - 10.1038/s41467-025-61400-1

M3 - Article

C2 - 40610449

SN - 2041-1723

VL - 16

JO - Nature Communications

JF - Nature Communications

IS - 1

M1 - 6109

ER -

Respiratory syncytial virus hospitalisation by chronological month of age and by birth month in infants

Abstract

Keywords / Materials (for Non-textual outputs)

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