Modeling the impact of child vaccination (5–11 y) on overall COVID-19 related hospitalizations and mortality in a context of omicron variant predominance and different vaccination coverage paces in Brazil

Müller, G; Ferreira, Leonardo Souto; Campos, Felipe Ernesto Mesias; Borges, Marcelo Eduardo; Almeida, Gabriel Berg de; Poloni, Silas; Simón, Lorena; Bagattini, Ângela Maria; Quarti, Michelle; Filho, José Alexandre Felizola Diniz; Kraenkel, Roberto André; Coutinho, Renato Mendes; Camey, Suzi Alves; Kuchenbecker, Ricardo de Souza; Toscano, Cristiana M.

doi:10.1016/j.lana.2022.100396

Cited by 3 publications

(5 citation statements)

References 23 publications

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“…According to Müller et al 45 , vaccination at the maximum rate could have prevented, between January and April 2022, about 5,400 hospitalizations and 410 deaths in children aged 5 to 11 years. On the other hand, a national survey of 15,297 respondents found that the vaccination hesitancy rate against COVID-19 of caregivers of children aged 0 to 4 years, 5 to 11 years, and adolescents was 16%, 13%, 15%, respectively, an aspect considered adverse to increasing vaccination coverage 46 .…”

Section: Discussionmentioning

confidence: 99%

Spatial analysis of hospital-related mortality due to COVID-19 among children and adolescents in Brazil

Costa,

Branco,

Pereira

et al. 2024

Ciênc. saúde coletiva

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The objective was to perform a spatial analysis of the hospital mortality rate (HMR) due to severe acute respiratory syndrome (SARS) attributed to COVID-19 among children and adolescents in Brazil from 2020 to 2021. A cluster method was used to group federal units (FUs) based on HMR. In 2020, clusters with high HMRs were formed by north/northeast FUs. In 2021, there was a reduction in HMR. Clusters with higher rates remained in the N/NE region. Regional differences were observed in the HMR. The findings may reflect social inequalities and access to hospital care, especially in the under 1-year-old age group due to the severity of the disease in this group.

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Section: Discussionmentioning

confidence: 99%

Spatial analysis of hospital-related mortality due to COVID-19 among children and adolescents in Brazil

Costa,

Branco,

Pereira

et al. 2024

Ciênc. saúde coletiva

View full text Add to dashboard Cite

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“…Modeling of the impact of vaccinating children (5–11 years) in Europe has been proposed as a route to the relaxation of restrictions in schools ( 121 ). Modeling studies have also suggested that extending vaccination to children may reduce hospitalization and mortality across all age groups in developing countries ( 122 ). The latest update from the WHO’s Strategic Advisory Group of Experts on Immunization (SAGE) on COVID-19 vaccination continues to prioritize the populations at greatest risk of mortality or severe disease to safeguard healthcare systems.…”

Section: Discussionmentioning

confidence: 99%

“…Although data on the impact of COVID-19 among children are lacking overall, there appears to be greater risk of mortality and hospitalization in low and middle-income countries ( 124 ). Thus, there is a need for further studies focused on the local burden of COVID-19 disease among younger populations in Asia, where future modeling studies might also guide decision-making on the impact of vaccinations ( 121 , 122 , 125 ).…”

Section: Discussionmentioning

confidence: 99%

Impact of vaccination and non-pharmacological interventions on COVID-19: a review of simulation modeling studies in Asia

Thakkar,

Spinardi,

Yang

et al. 2023

Front. Public Health

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IntroductionEpidemiological modeling is widely used to offer insights into the COVID-19 pandemic situation in Asia. We reviewed published computational (mathematical/simulation) models conducted in Asia that assessed impacts of pharmacological and non-pharmacological interventions against COVID-19 and their implications for vaccination strategy.MethodsA search of the PubMed database for peer-reviewed, published, and accessible articles in English was performed up to November 2022 to capture studies in Asian populations based on computational modeling of outcomes in the COVID-19 pandemic. Extracted data included model type (mechanistic compartmental/agent-based, statistical, both), intervention type (pharmacological, non-pharmacological), and procedures for parameterizing age. Findings are summarized with descriptive statistics and discussed in terms of the evolving COVID-19 situation.ResultsThe literature search identified 378 results, of which 59 met criteria for data extraction. China, Japan, and South Korea accounted for approximately half of studies, with fewer from South and South-East Asia. Mechanistic models were most common, either compartmental (61.0%), agent-based (1.7%), or combination (18.6%) models. Statistical modeling was applied less frequently (11.9%). Pharmacological interventions were examined in 59.3% of studies, and most considered vaccination, except one study of an antiviral treatment. Non-pharmacological interventions were also considered in 84.7% of studies. Infection, hospitalization, and mortality were outcomes in 91.5%, 30.5%, and 30.5% of studies, respectively. Approximately a third of studies accounted for age, including 10 that also examined mortality. Four of these studies emphasized benefits in terms of mortality from prioritizing older adults for vaccination under conditions of a limited supply; however, one study noted potential benefits to infection rates from early vaccination of younger adults. Few studies (5.1%) considered the impact of vaccination among children.ConclusionEarly in the COVID-19 pandemic, non-pharmacological interventions helped to mitigate the health burden of COVID-19; however, modeling indicates that high population coverage of effective vaccines will complement and reduce reliance on such interventions. Thus, increasing and maintaining immunity levels in populations through regular booster shots, particularly among at-risk and vulnerable groups, including older adults, might help to protect public health. Future modeling efforts should consider new vaccines and alternative therapies alongside an evolving virus in populations with varied vaccination histories.

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“…Com a evolução da pandemia, foi verificada elevação no número de casos de COVID-19 na população infantil, que pode estar relacionada ao aumento nas testagens, bem como ao surgimento de novas variantes do SARS-CoV-2 com maior potencial de transmissibilidade. As diferentes variantes e a imunização tardia do público infantil, bem como a baixa adesão dos pais e responsáveis à vacinação, podem estar associadas ao aumento das taxas de infecção e de hospitalização (4)(5) .…”

Section: Introductionunclassified

“…Apesar de estudos evidenciarem que a população infantil apresenta melhor prognóstico e menor índice de mortes, o impacto da COVID-19 nessa população, em específico, pode variar consideravelmente entre países e dentro do mesmo território (4)(5)7) . A mortalidade infantil por COVID-19 em países desenvolvidos é baixa, no entanto, a doença surge como uma nova causa de morte entre crianças que residem, especialmente, em países mais pobres (7) .…”

Section: Introductionunclassified

Influence of socioeconomic factors on COVID-19 mortality in children: a scoping review

Silva,

Ribeiro,

Uehara

2023

Rev Rene

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Objective: to identify the scientific evidence on the relationship between socioeconomic factors and mortality in children due to COVID-19. Methods: this is a scoping review. Searches were carried out in the following databases: US National Library of Medicine - National Institutes of Health; Scientific Electronic Library Online; Institute for Scientific Information; Cumulative Index to Nursing and Allied Health Literature; and SciVerse Scopus. Results: 15 articles were selected that showed the influence of socioeconomic factors on infant mortality from Severe Acute Respiratory Syndrome Coronavirus 2. Conclusion: it was shown that socioeconomic factors are related to increased mortality from COVID-19 in the infant population, low income and residence in locations considered to be of greater socioeconomic vulnerability, which were presented as important variables to be considered in the COVID-19 pandemic. Contributions to practice: several factors are related to increased susceptibility to Severe Acute Respiratory Syndrome Coronavirus infection and worsening of the disease in children. However, understanding that socioeconomic factors can be a determinant of COVID-19 incidence and mortality in children highlights the need to invest in actions aimed at reducing socioeconomic inequalities, to reduce preventable deaths.

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Modeling the impact of child vaccination (5–11 y) on overall COVID-19 related hospitalizations and mortality in a context of omicron variant predominance and different vaccination coverage paces in Brazil

Cited by 3 publications

References 23 publications

Spatial analysis of hospital-related mortality due to COVID-19 among children and adolescents in Brazil

Spatial analysis of hospital-related mortality due to COVID-19 among children and adolescents in Brazil

Impact of vaccination and non-pharmacological interventions on COVID-19: a review of simulation modeling studies in Asia

Influence of socioeconomic factors on COVID-19 mortality in children: a scoping review

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