Burden and severity of children's hospitalizations by respiratory syncytial virus in Portugal, 2015–2018

Bandeira, Teresa; Carmo, Mafalda; Lopes, H. de Souza; Gomes, Catarina; Martins, Margarida Alves; Guzmán, Carlos A.; Bangert, Mathieu; Januário, Gustavo; Tomé, Teresa; Azevedo, Inês

doi:10.1111/irv.13066

Cited by 17 publications

(14 citation statements)

References 39 publications

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“…22 However, the majority of infants hospitalized with RSV were born at term and were previously healthy, similar to findings from other studies. [23][24][25] While it is important to identify infants at greatest risk of severe RSV infection in order to determine those who could benefit most from interventions aiming to either prevent infection or reduce disease severity, prevention strategies targeting only highrisk infants will have a limited effect at the population level, in particular on the total burden of RSV infection. 23 Results from the bronchiolitis-coded, RTI-coded and RSV-predicted cohorts corroborate the results from the RSV-coded cohort.…”

Section: (Which Was Not Certified By Peer Review)mentioning

confidence: 99%

Respiratory Syncytial Virus (RSV) Hospital Admission Rates and Patients’ Characteristics Before the Age of Two in England, 2015-2019

Fonseca

Hagenaars

Bangert

et al. 2023

Preprint

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Background: A granular understanding of respiratory syncytial virus (RSV) burden in England is needed to prepare for new RSV prevention strategies. We estimated the rates of RSV hospital admissions in infants before age two in England and describe baseline characteristics. Methods: A birth cohort of all infants born between 01/03/2015 and 28/02/2017 (n=449,591) was established using Clinical Practice Research Datalink-Hospital Episode Statistics. Case cohorts included infants with an admission for 1) RSV-coded, 2) bronchiolitis-coded, 3) any respiratory tract infection (RTI)-coded <24 months and 4) RSV-predicted by an algorithm <12 months. Baseline characteristics were described in case and comparative cohorts (infants without corresponding admission). Cumulative incidence and admission rates were calculated. Multiple linear regression was used to estimate the proportion of RTI healthcare visits attributable to RSV. Results: The RSV-coded/RSV-predicted case cohorts were composed of 4,813/12,694 infants (cumulative incidence: 1.1%/2.8%). Case cohort infants were more likely to have low birth weight, comorbidities and to be born during RSV season than comparative cohort infants, yet >77% were term healthy infants and >54% born before the RSV season. During the first year of life, 11.6 RSV-coded and 34.4 RSV-predicted hospitalizations occurred per 1,000 person-years. Overall, >25% of unspecified lower RTI admissions were estimated to be due to RSV. Conclusions: In England, one in 91 infants had an RSV-coded admission, likely underestimated by ~3-fold. Most infants were term healthy infants born before the RSV season. To decrease the total burden of RSV at the population level, immunization programs need to protect all infants.

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Section: (Which Was Not Certified By Peer Review)mentioning

confidence: 99%

Respiratory Syncytial Virus (RSV) Hospital Admission Rates and Patients’ Characteristics Before the Age of Two in England, 2015-2019

Fonseca

Hagenaars

Bangert

et al. 2023

Preprint

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“…In a recent study of RSV in Portugal [9], it is shown that RSV is accountable for a substantial number of hospitalizations in children, especially when they have less than one year old. Hospitalizations are mainly motivated by healthy children.…”

Section: Introductionmentioning

confidence: 99%

“…Hospitalizations are mainly motivated by healthy children. The authors of [9] conclude their study claiming that the creation of a universal RSV surveillance system to guide prevention strategies are crucial.…”

Section: Introductionmentioning

confidence: 99%

Numerical Fractional Optimal Control of Respiratory Syncytial Virus Infection in Octave/MATLAB

Rosa

Torres

2023

Mathematics

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In this article, we develop a simple mathematical GNU Octave/MATLAB code that is easy to modify for the simulation of mathematical models governed by fractional-order differential equations, and for the resolution of fractional-order optimal control problems through Pontryagin’s maximum principle (indirect approach to optimal control). For this purpose, a fractional-order model for the respiratory syncytial virus (RSV) infection is considered. The model is an improvement of one first proposed by the authors in 2018. The initial value problem associated with the RSV infection fractional model is numerically solved using Garrapa’s fde12 solver and two simple methods coded here in Octave/MATLAB: the fractional forward Euler’s method and the predict-evaluate-correct-evaluate (PECE) method of Adams–Bashforth–Moulton. A fractional optimal control problem is then formulated having treatment as the control. The fractional Pontryagin maximum principle is used to characterize the fractional optimal control and the extremals of the problem are determined numerically through the implementation of the forward-backward PECE method. The implemented algorithms are available on GitHub and, at the end of the paper, in appendixes, both for the uncontrolled initial value problem as well as for the fractional optimal control problem, using the free GNU Octave computing software and assuring compatibility with MATLAB.

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“…The disease is particularly severe in children under 6 months, resulting in 6.6 million infections per year and 1.4 million hospital admissions [1]. Nonetheless, most hospitalizations occur in children under 3 months of age [2,3].…”

Section: Introductionmentioning

confidence: 99%

Unraveling the Effects of the COVID-19 Pandemic on the Burden of Respiratory Syncytial Virus in a Tertiary Hospital in Catalonia, Spain: Season 2022-2023 Analysis

Perramon-Malavez,

Rioja,

Creus

et al. 2023

Preprint

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Purpose: Respiratory Syncytial Virus (RSV) associated infections have historically been the cause of seasonal paediatric hospital departments’ saturation. During the COVID-19 pandemic, the community incidence of RSV was reduced, thus the hospital burden. The last RSV season broke out in early October 2022, 4-6 weeks earlier than in pre-pandemic years, and was thought to be the most demanding to date. Our aim was to assess the burden of RSV-related hospitalizations on a referral hospital (Catalonia, Spain) during the pre-pandemic years and the most recent 2022-2023 season. Methods: We analysed the paediatric hospital and intensive care (PICU) admissions data (January 2016 – January 2023) of a tertiary referral hospital in Catalonia, Spain. All-cause pediatric admissions, admissions related to confirmed RSV infections, and occupancy-related variables were collected. Results and conclusion: RSV-related hospitalizations incidence was lower during the pandemic years, particularly in 2020. The majority of RSV cases within an epidemic peak primarily affected children ≤3 months. Although the number of daily admissions during the last RSV 2022-2023 season was not higher than in the pre-pandemic years, the mean occupancy of the hospital was significantly higher (p= 0.04) due to a longer period of days with more than 20 RSV infected children inpatients per day.

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Burden and severity of children's hospitalizations by respiratory syncytial virus in Portugal, 2015–2018

Cited by 17 publications

References 39 publications

Respiratory Syncytial Virus (RSV) Hospital Admission Rates and Patients’ Characteristics Before the Age of Two in England, 2015-2019

Respiratory Syncytial Virus (RSV) Hospital Admission Rates and Patients’ Characteristics Before the Age of Two in England, 2015-2019

Numerical Fractional Optimal Control of Respiratory Syncytial Virus Infection in Octave/MATLAB

Unraveling the Effects of the COVID-19 Pandemic on the Burden of Respiratory Syncytial Virus in a Tertiary Hospital in Catalonia, Spain: Season 2022-2023 Analysis

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