Evidence map›Paper›PMID 40128593›Full record

ArticlePediatric research2025

COVID-19's causal impact on child abuse and socioeconomic status: a Bayesian time series study.

Foad Kazemi, Jiaqi Liu, Isam W Nasr, Charbel Chidiac, Shenandoah Robinson, Alan R Cohen

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Article in Pediatric research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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6 authors.

Foad KazemiDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA. fkazemi1@jh.edu.
Jiaqi LiuDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Isam W NasrDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Charbel ChidiacDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Shenandoah RobinsonDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Alan R CohenDepartment of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic intensified psychosocial stressors, potentially contributing to increased rates of child abuse. This study aimed to compare trends in child abuse/traumatic brain injury (TBI) admissions and socioeconomic status before and after the pandemic.

methodsA 7-year retrospective study was conducted at a Level-1 Pediatric Trauma Center. TBI cases were identified using ICD-10 codes based on the modified CDC framework. Neighborhood disadvantage and injury severity were measured using the Social Deprivation Index (SDI) and Injury Severity Score (ISS), respectively, with higher scores indicating greater disadvantage and severity. A Bayesian structural time series (BSTS) model was employed to assess the causal impact of COVID-19 on monthly child abuse/TBI admissions, SDI, and ISS.

resultsThe study included 560 child abuse cases, with 62.3% involving TBI. Before COVID-19, monthly admissions averaged 5.89 for child abuse and 3.70 for child abuse with TBI, with corresponding SDI scores of 60.07 and 57.60. During the COVID era, monthly averages rose to 8.77 and 5.58 (p = 0.001, p < 0.001), and SDI scores increased to 66.32 and 61.60 (p = 0.053, p = 0.370). BSTS analysis inferred a causal impact of COVID-19 on monthly child abuse admissions (p = 0.001), monthly child abuse admissions sustaining TBI (p = 0.001), an upward trend in average monthly SDI scores (p = 0.033), and a decrease in average monthly ISS (p = 0.001).

conclusionsThe study indicates a significant increase in child abuse/TBI admissions and heightened neighborhood disadvantage during the COVID-19 pandemic. IMPACT: This study uses Bayesian structural time series analysis to assess the COVID-19 pandemic's causal impact on child abuse and traumatic brain injury (TBI) admissions. The pandemic is linked to increased child abuse admissions and TBI cases, correlating with worsening socioeconomic conditions indicated by higher Social Deprivation Index scores. Admissions did not rise significantly during the early pandemic (first 3 months, p = 0.160), but mid-to-late phases showed a significant increase (p = 0.001). Injury severity, as measured by Injury Severity Score, declined, suggesting less severe injuries during the pandemic. These findings emphasize the need for proactive interventions and continuous surveillance to protect vulnerable populations.

Indexed as

Brain Injuries, TraumaticChild AbuseCOVID-19Social ClassAdolescentBayes TheoremChildChild, PreschoolFemaleHospitalizationHumansInfantMalePandemicsRetrospective StudiesSARS-CoV-2

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.