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Nat Med ; 28(1): 193-200, 2022 01.
Article in English | MEDLINE | ID: covidwho-1585817

ABSTRACT

Identifying which children and young people (CYP) are most vulnerable to serious infection due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is important to guide protective interventions. To address this question, we used data for all hospitalizations in England among 0-17 year olds from 1 February 2019 to 31 January 2021. We examined how sociodemographic factors and comorbidities might be risk factors for pediatric intensive care unit (PICU) admission among hospitalizations due to the following causes: Coronavirus Disease 2019 (COVID-19) and pediatric inflammatory multi-system syndrome temporally associated with SARS-CoV-2 (PIMS-TS) in the first pandemic year (2020-2021); hospitalizations due to all other non-traumatic causes in 2020-2021; hospitalizations due to all non-traumatic causes in 2019-2020; and hospitalizations due to influenza in 2019-2020. Risk of PICU admission and death from COVID-19 or PIMS-TS in CYP was very low. We identified 6,338 hospitalizations with COVID-19, of which 259 were admitted to a PICU and eight CYP died. We identified 712 hospitalizations with PIMS-TS, of which 312 were admitted to a PICU and fewer than five CYP died. Hospitalizations with COVID-19 and PIMS-TS were more common among males, older CYP, those from socioeconomically deprived neighborhoods and those who were of non-White ethnicity (Black, Asian, Mixed or Other). The odds of PICU admission were increased in CYP younger than 1 month old and decreased among 15-17 year olds compared to 1-4 year olds with COVID-19; increased in older CYP and females with PIMS-TS; and increased for Black compared to White ethnicity in patients with COVID-19 and PIMS-TS. Odds of PICU admission in COVID-19 were increased for CYP with comorbidities and highest for CYP with multiple medical problems. Increases in odds of PICU admission associated with different comorbidities in COVID-19 showed a similar pattern to other causes of hospitalization examined and, thus, likely reflect background vulnerabilities. These findings identify distinct risk factors associated with PICU admission among CYP with COVID-19 or PIMS-TS that might aid treatment and prevention strategies.


Subject(s)
COVID-19/complications , COVID-19/epidemiology , Ethnicity/statistics & numerical data , Intensive Care Units, Pediatric/statistics & numerical data , Systemic Inflammatory Response Syndrome/epidemiology , Adolescent , Age Factors , Asian People/statistics & numerical data , Black People/statistics & numerical data , Cardiovascular Diseases/epidemiology , Child , Child, Preschool , Comorbidity , England/epidemiology , Female , Hospitalization/statistics & numerical data , Humans , Infant , Infant, Newborn , Male , Neoplasms/epidemiology , Nervous System Diseases/epidemiology , Odds Ratio , Respiratory Tract Diseases/epidemiology , Risk Factors , SARS-CoV-2 , Severity of Illness Index , Social Deprivation , White People/statistics & numerical data
3.
BMJ Open ; 11(8): e053371, 2021 08 17.
Article in English | MEDLINE | ID: covidwho-1361999

ABSTRACT

OBJECTIVES: To systematically reivew the observational evidence of the effect of school closures and school reopenings on SARS-CoV-2 community transmission. SETTING: Schools (including early years settings, primary schools and secondary schools). INTERVENTION: School closures and reopenings. OUTCOME MEASURE: Community transmission of SARS-CoV-2 (including any measure of community infections rate, hospital admissions or mortality attributed to COVID-19). METHODS: On 7 January 2021, we searched PubMed, Web of Science, Scopus, CINAHL, the WHO Global COVID-19 Research Database, ERIC, the British Education Index, the Australian Education Index and Google, searching title and abstracts for terms related to SARS-CoV-2 AND terms related to schools or non-pharmaceutical interventions (NPIs). We used the Cochrane Risk of Bias In Non-randomised Studies of Interventions tool to evaluate bias. RESULTS: We identified 7474 articles, of which 40 were included, with data from 150 countries. Of these, 32 studies assessed school closures and 11 examined reopenings. There was substantial heterogeneity between school closure studies, with half of the studies at lower risk of bias reporting reduced community transmission by up to 60% and half reporting null findings. The majority (n=3 out of 4) of school reopening studies at lower risk of bias reported no associated increases in transmission. CONCLUSIONS: School closure studies were at risk of confounding and collinearity from other non-pharmacological interventions implemented around the same time as school closures, and the effectiveness of closures remains uncertain. School reopenings, in areas of low transmission and with appropriate mitigation measures, were generally not accompanied by increasing community transmission. With such varied evidence on effectiveness, and the harmful effects, policymakers should take a measured approach before implementing school closures; and should look to reopen schools in times of low transmission, with appropriate mitigation measures.


Subject(s)
COVID-19 , Australia , Bias , Humans , SARS-CoV-2 , Schools
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