Respiratory syncytial virus hospitalisation by chronological month of age and by birth month in infants
- Autores
- Guo, Ling; Kenmoe, Sebastien; Miyake, Fuyu; Chung, Alexandria; Zhang, Han; Bandeira, Teresa; Caballero, Mauricio Tomás; Casalegno, Jean Sébastien; Fasce, Rodrigo; Giorgi, Chakhunashvili; Heikkinen, Terho; Huang, Q. Sue; Katama, Esther Nyadzua; Keck, James W.; Liu, Enmei; Markic, Josko; Moore, Hannah C.; Moyes, Jocelyn; Rath, Barbara A.; Romero, Candice; Wang, Qianli; Werner, Marta; Yung, Chee Fu; Shchomak, Zakhar; Barreto, Rosário; Begier, Elizabeth; Janimak, Jim; Hendrix, Jenny; Kramer, Rolf; Molero, Eva
- Año de publicación
- 2025
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- 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 Using a Bayesian model, we synthesised published data from a systematic literature review and unpublished data shared by international collaborators for estimating the distribution of infant RSV hospitalisations by month of age.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.
Fil: Guo, Ling. Nanjing Medical University; China
Fil: Kenmoe, Sebastien. University of Edinburgh; Reino Unido
Fil: Miyake, Fuyu. University of Edinburgh; Reino Unido
Fil: Chung, Alexandria. University of Edinburgh; Reino Unido
Fil: Zhang, Han. Nanjing Medical University; China
Fil: Bandeira, Teresa. Centro Hospitalar Universitário Lisboa Norte; Portugal
Fil: Caballero, Mauricio Tomás. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Martín; Argentina
Fil: Casalegno, Jean Sébastien. Université Claude Bernard Lyon 1; Francia
Fil: Fasce, Rodrigo. Universidad de Chile; Chile
Fil: Giorgi, Chakhunashvili. National Center for Disease Control and Public Health; Estados Unidos
Fil: Heikkinen, Terho. University of Turku; Finlandia. Turku University Hospital; Finlandia
Fil: Huang, Q. Sue. Institute of Environmental Science and Research; Nueva Zelanda
Fil: Katama, Esther Nyadzua. KEMRI-Wellcome Trust Research Programme; Kenia
Fil: Keck, James W.. Alaska Native Tribal Health Consortium; Estados Unidos
Fil: Liu, Enmei. Children’s Hospital of Chongqing Medical University; China. National Clinical Research Center for Child Health and Disorder; China. Ministry of Education Key Laboratory of Child Development and Disorders; China. Chongqing Key Laboratory of Child Rare Diseases in Infection and Immunity; China
Fil: Markic, Josko. University of Split School of Medicine; Croacia. University Hospital of Split; Croacia
Fil: Moore, Hannah C.. Curtin University; Australia. The Kids Research Institute Australia; Australia
Fil: Moyes, Jocelyn. National Institute for Communicable Diseases; Sudáfrica
Fil: Rath, Barbara A.. Vaccine Safety Initiative; Alemania
Fil: Romero, Candice. Culmen International Company; Estados Unidos
Fil: Wang, Qianli. Fudan University; China
Fil: Werner, Marta. Grant Benavente Clinical Hospital; Chile
Fil: Yung, Chee Fu. KK Women’s and Children’s Hospital; Singapur. Duke-NUS Medical School; Singapur. Nanyang Technological University; Singapur
Fil: Shchomak, Zakhar. No especifíca;
Fil: Barreto, Rosário. No especifíca;
Fil: Begier, Elizabeth. No especifíca;
Fil: Janimak, Jim. No especifíca;
Fil: Hendrix, Jenny. No especifíca;
Fil: Kramer, Rolf. No especifíca;
Fil: Molero, Eva. No especifíca; - Materia
-
VSR
Epidemiología - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/272802
Ver los metadatos del registro completo
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Respiratory syncytial virus hospitalisation by chronological month of age and by birth month in infantsGuo, LingKenmoe, SebastienMiyake, FuyuChung, AlexandriaZhang, HanBandeira, TeresaCaballero, Mauricio TomásCasalegno, Jean SébastienFasce, RodrigoGiorgi, ChakhunashviliHeikkinen, TerhoHuang, Q. SueKatama, Esther NyadzuaKeck, James W.Liu, EnmeiMarkic, JoskoMoore, Hannah C.Moyes, JocelynRath, Barbara A.Romero, CandiceWang, QianliWerner, MartaYung, Chee FuShchomak, ZakharBarreto, RosárioBegier, ElizabethJanimak, JimHendrix, JennyKramer, RolfMolero, EvaVSREpidemiologíahttps://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3Understanding 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.Fil: Guo, Ling. Nanjing Medical University; ChinaFil: Kenmoe, Sebastien. University of Edinburgh; Reino UnidoFil: Miyake, Fuyu. University of Edinburgh; Reino UnidoFil: Chung, Alexandria. University of Edinburgh; Reino UnidoFil: Zhang, Han. Nanjing Medical University; ChinaFil: Bandeira, Teresa. Centro Hospitalar Universitário Lisboa Norte; PortugalFil: Caballero, Mauricio Tomás. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Martín; ArgentinaFil: Casalegno, Jean Sébastien. Université Claude Bernard Lyon 1; FranciaFil: Fasce, Rodrigo. Universidad de Chile; ChileFil: Giorgi, Chakhunashvili. National Center for Disease Control and Public Health; Estados UnidosFil: Heikkinen, Terho. University of Turku; Finlandia. Turku University Hospital; FinlandiaFil: Huang, Q. Sue. Institute of Environmental Science and Research; Nueva ZelandaFil: Katama, Esther Nyadzua. KEMRI-Wellcome Trust Research Programme; KeniaFil: Keck, James W.. Alaska Native Tribal Health Consortium; Estados UnidosFil: Liu, Enmei. Children’s Hospital of Chongqing Medical University; China. National Clinical Research Center for Child Health and Disorder; China. Ministry of Education Key Laboratory of Child Development and Disorders; China. Chongqing Key Laboratory of Child Rare Diseases in Infection and Immunity; ChinaFil: Markic, Josko. University of Split School of Medicine; Croacia. University Hospital of Split; CroaciaFil: Moore, Hannah C.. Curtin University; Australia. The Kids Research Institute Australia; AustraliaFil: Moyes, Jocelyn. National Institute for Communicable Diseases; SudáfricaFil: Rath, Barbara A.. Vaccine Safety Initiative; AlemaniaFil: Romero, Candice. Culmen International Company; Estados UnidosFil: Wang, Qianli. Fudan University; ChinaFil: Werner, Marta. Grant Benavente Clinical Hospital; ChileFil: Yung, Chee Fu. KK Women’s and Children’s Hospital; Singapur. Duke-NUS Medical School; Singapur. Nanyang Technological University; SingapurFil: Shchomak, Zakhar. No especifíca;Fil: Barreto, Rosário. No especifíca;Fil: Begier, Elizabeth. No especifíca;Fil: Janimak, Jim. No especifíca;Fil: Hendrix, Jenny. No especifíca;Fil: Kramer, Rolf. No especifíca;Fil: Molero, Eva. No especifíca;Nature2025-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/272802Guo, Ling; Kenmoe, Sebastien; Miyake, Fuyu; Chung, Alexandria; Zhang, Han; et al.; Respiratory syncytial virus hospitalisation by chronological month of age and by birth month in infants; Nature; Nature Communications; 16; 6109; 7-2025; 1-132041-1723CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s41467-025-61400-1info:eu-repo/semantics/altIdentifier/doi/10.1038/s41467-025-61400-1info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-12-23T14:39:39Zoai:ri.conicet.gov.ar:11336/272802instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-12-23 14:39:39.851CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
| dc.title.none.fl_str_mv |
Respiratory syncytial virus hospitalisation by chronological month of age and by birth month in infants |
| title |
Respiratory syncytial virus hospitalisation by chronological month of age and by birth month in infants |
| spellingShingle |
Respiratory syncytial virus hospitalisation by chronological month of age and by birth month in infants Guo, Ling VSR Epidemiología |
| title_short |
Respiratory syncytial virus hospitalisation by chronological month of age and by birth month in infants |
| title_full |
Respiratory syncytial virus hospitalisation by chronological month of age and by birth month in infants |
| title_fullStr |
Respiratory syncytial virus hospitalisation by chronological month of age and by birth month in infants |
| title_full_unstemmed |
Respiratory syncytial virus hospitalisation by chronological month of age and by birth month in infants |
| title_sort |
Respiratory syncytial virus hospitalisation by chronological month of age and by birth month in infants |
| dc.creator.none.fl_str_mv |
Guo, Ling Kenmoe, Sebastien Miyake, Fuyu Chung, Alexandria Zhang, Han Bandeira, Teresa Caballero, Mauricio Tomás Casalegno, Jean Sébastien Fasce, Rodrigo Giorgi, Chakhunashvili Heikkinen, Terho Huang, Q. Sue Katama, Esther Nyadzua Keck, James W. Liu, Enmei Markic, Josko Moore, Hannah C. Moyes, Jocelyn Rath, Barbara A. Romero, Candice Wang, Qianli Werner, Marta Yung, Chee Fu Shchomak, Zakhar Barreto, Rosário Begier, Elizabeth Janimak, Jim Hendrix, Jenny Kramer, Rolf Molero, Eva |
| author |
Guo, Ling |
| author_facet |
Guo, Ling Kenmoe, Sebastien Miyake, Fuyu Chung, Alexandria Zhang, Han Bandeira, Teresa Caballero, Mauricio Tomás Casalegno, Jean Sébastien Fasce, Rodrigo Giorgi, Chakhunashvili Heikkinen, Terho Huang, Q. Sue Katama, Esther Nyadzua Keck, James W. Liu, Enmei Markic, Josko Moore, Hannah C. Moyes, Jocelyn Rath, Barbara A. Romero, Candice Wang, Qianli Werner, Marta Yung, Chee Fu Shchomak, Zakhar Barreto, Rosário Begier, Elizabeth Janimak, Jim Hendrix, Jenny Kramer, Rolf Molero, Eva |
| author_role |
author |
| author2 |
Kenmoe, Sebastien Miyake, Fuyu Chung, Alexandria Zhang, Han Bandeira, Teresa Caballero, Mauricio Tomás Casalegno, Jean Sébastien Fasce, Rodrigo Giorgi, Chakhunashvili Heikkinen, Terho Huang, Q. Sue Katama, Esther Nyadzua Keck, James W. Liu, Enmei Markic, Josko Moore, Hannah C. Moyes, Jocelyn Rath, Barbara A. Romero, Candice Wang, Qianli Werner, Marta Yung, Chee Fu Shchomak, Zakhar Barreto, Rosário Begier, Elizabeth Janimak, Jim Hendrix, Jenny Kramer, Rolf Molero, Eva |
| author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
VSR Epidemiología |
| topic |
VSR Epidemiología |
| purl_subject.fl_str_mv |
https://purl.org/becyt/ford/3.3 https://purl.org/becyt/ford/3 |
| dc.description.none.fl_txt_mv |
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. Fil: Guo, Ling. Nanjing Medical University; China Fil: Kenmoe, Sebastien. University of Edinburgh; Reino Unido Fil: Miyake, Fuyu. University of Edinburgh; Reino Unido Fil: Chung, Alexandria. University of Edinburgh; Reino Unido Fil: Zhang, Han. Nanjing Medical University; China Fil: Bandeira, Teresa. Centro Hospitalar Universitário Lisboa Norte; Portugal Fil: Caballero, Mauricio Tomás. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Martín; Argentina Fil: Casalegno, Jean Sébastien. Université Claude Bernard Lyon 1; Francia Fil: Fasce, Rodrigo. Universidad de Chile; Chile Fil: Giorgi, Chakhunashvili. National Center for Disease Control and Public Health; Estados Unidos Fil: Heikkinen, Terho. University of Turku; Finlandia. Turku University Hospital; Finlandia Fil: Huang, Q. Sue. Institute of Environmental Science and Research; Nueva Zelanda Fil: Katama, Esther Nyadzua. KEMRI-Wellcome Trust Research Programme; Kenia Fil: Keck, James W.. Alaska Native Tribal Health Consortium; Estados Unidos Fil: Liu, Enmei. Children’s Hospital of Chongqing Medical University; China. National Clinical Research Center for Child Health and Disorder; China. Ministry of Education Key Laboratory of Child Development and Disorders; China. Chongqing Key Laboratory of Child Rare Diseases in Infection and Immunity; China Fil: Markic, Josko. University of Split School of Medicine; Croacia. University Hospital of Split; Croacia Fil: Moore, Hannah C.. Curtin University; Australia. The Kids Research Institute Australia; Australia Fil: Moyes, Jocelyn. National Institute for Communicable Diseases; Sudáfrica Fil: Rath, Barbara A.. Vaccine Safety Initiative; Alemania Fil: Romero, Candice. Culmen International Company; Estados Unidos Fil: Wang, Qianli. Fudan University; China Fil: Werner, Marta. Grant Benavente Clinical Hospital; Chile Fil: Yung, Chee Fu. KK Women’s and Children’s Hospital; Singapur. Duke-NUS Medical School; Singapur. Nanyang Technological University; Singapur Fil: Shchomak, Zakhar. No especifíca; Fil: Barreto, Rosário. No especifíca; Fil: Begier, Elizabeth. No especifíca; Fil: Janimak, Jim. No especifíca; Fil: Hendrix, Jenny. No especifíca; Fil: Kramer, Rolf. No especifíca; Fil: Molero, Eva. No especifíca; |
| description |
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. |
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2025 |
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2025-07 |
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http://hdl.handle.net/11336/272802 Guo, Ling; Kenmoe, Sebastien; Miyake, Fuyu; Chung, Alexandria; Zhang, Han; et al.; Respiratory syncytial virus hospitalisation by chronological month of age and by birth month in infants; Nature; Nature Communications; 16; 6109; 7-2025; 1-13 2041-1723 CONICET Digital CONICET |
| url |
http://hdl.handle.net/11336/272802 |
| identifier_str_mv |
Guo, Ling; Kenmoe, Sebastien; Miyake, Fuyu; Chung, Alexandria; Zhang, Han; et al.; Respiratory syncytial virus hospitalisation by chronological month of age and by birth month in infants; Nature; Nature Communications; 16; 6109; 7-2025; 1-13 2041-1723 CONICET Digital CONICET |
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