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Current Medical Research and Opinion Volume 37, 2021 - Issue 7
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Infectious Disease

Adoption in Canada of an international risk scoring tool to predict respiratory syncytial virus hospitalization in moderate-to-late preterm infants

Bosco Paesa Department of Pediatrics (Neonatal Division), McMaster University, Hamilton, CanadaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-3308-2706
ORCID Icon,
John R. Fullartonb Violicom Medical Limited, Aldermaston, UK
,
Barry S. Rodgers-Grayb Violicom Medical Limited, Aldermaston, UKORCID Iconhttps://orcid.org/0000-0003-0954-5587
ORCID Icon &
Xavier Carbonell-Estranyc Neonatology Service, Hospital Clinic, Institut d’Investigacions Biomediques August Pi Suñer (IDIBAPS), Barcelona, SpainORCID Iconhttps://orcid.org/0000-0002-4453-3891
ORCID Icon
Pages 1149-1153 | Received 31 Dec 2020, Accepted 29 Mar 2021, Published online: 21 Apr 2021

Citations (4)

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Barry S. Rodgers-Gray, John R. Fullarton, Xavier Carbonell-Estrany, Ian P. Keary, Jean-Éric Tarride & Bosco A. Paes. (2023) Impact of using the International Risk Scoring Tool on the cost-utility of palivizumab for preventing severe respiratory syncytial virus infection in Canadian moderate-to-late preterm infants. Journal of Medical Economics 26:1, pages 630-643.
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Articles from other publishers (3)

Bosco Paes, Marcello Lanari, Barry Rodgers-Gray, John Fullarton & Xavier Carbonell-Estrany. (2024) Opinion: The optimal use of risk factors to guide palivizumab prophylaxis against severe respiratory syncytial virus infection in moderate-to-late preterm infants. Frontiers in Pediatrics 12.
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Akhil Maheshwari, Srijan Singh, Ilhama Namazova, John T Benjamin & Yuping Wang. (2023) Respiratory Syncytial Virus Infections in Neonates: A Persisting Problem. Newborn 2:3, pages 222-234.
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Chak Foon Tso, Carson Lam, Jacob Calvert & Qingqing Mao. (2022) Machine learning early prediction of respiratory syncytial virus in pediatric hospitalized patients. Frontiers in Pediatrics 10.
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