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1.
Pediatrics ; 148(1)2021 07.
Article in English | MEDLINE | ID: covidwho-1183695

ABSTRACT

OBJECTIVES: Increased rates of firearm ownership, school closures, and a suspected decrease in supervision during the coronavirus disease 2019 (COVID-19) pandemic place young children at increased risk of firearm injuries. We measured trends in firearm injuries in children and inflicted by children discharging a firearm during the pandemic and correlated these changes with a rise in firearm acquisition. METHODS: In this cross-sectional study with an interrupted time series analysis, we used multiyear data from the Gun Violence Archive. We compared trends in (1) firearm injuries in children younger than 12 years old and (2) firearm injuries inflicted by children younger than 12 years old during the pre-COVID-19 period (March to August in the years 2016-2019) and during the first 6 months of the COVID-19 pandemic (March 2020 to August 2020). Linear regression models were developed to evaluate the relationship between firearm injuries and new firearm acquisitions. RESULTS: There was an increased risk of (1) firearm injuries in young children (relative risk = 1.90; 95% confidence interval 1.58 to 2.29) and (2) firearm injuries inflicted by young children (relative risk = 1.43; 95% confidence interval 1.14 to 1.80) during the first 6 months of the COVID-19 pandemic as compared to the pre-COVID-19 study period. These increased incidents correlate with an increase in new firearm ownership (P < .03). CONCLUSIONS: There has been a surge in firearm injuries in young children and inflicted by young children during the first 6 months of the COVID-19 pandemic. There is an urgent and critical need for enactment of interventions aimed at preventing firearm injuries and deaths involving children.


Subject(s)
COVID-19 , Firearms/statistics & numerical data , Wounds, Gunshot/epidemiology , Child , Correlation of Data , Cross-Sectional Studies , Humans , Interrupted Time Series Analysis , United States/epidemiology
2.
Pediatrics ; 146(4)2020 10.
Article in English | MEDLINE | ID: covidwho-695748

ABSTRACT

OBJECTIVES: To evaluate racial and/or ethnic and socioeconomic differences in rates of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection among children. METHODS: We performed a cross-sectional study of children tested for SARS-CoV-2 at an exclusively pediatric drive-through and walk-up SARS-CoV-2 testing site from March 21, 2020, to April 28, 2020. We performed bivariable and multivariable logistic regression to measure the association of patient race and/or ethnicity and estimated median family income (based on census block group estimates) with (1) SARS-CoV-2 infection and (2) reported exposure to SARS-CoV-2. RESULTS: Of 1000 children tested for SARS-CoV-2 infection, 20.7% tested positive for SARS-CoV-2. In comparison with non-Hispanic white children (7.3%), minority children had higher rates of infection (non-Hispanic Black: 30.0%, adjusted odds ratio [aOR] 2.3 [95% confidence interval (CI) 1.2-4.4]; Hispanic: 46.4%, aOR 6.3 [95% CI 3.3-11.9]). In comparison with children in the highest median family income quartile (8.7%), infection rates were higher among children in quartile 3 (23.7%; aOR 2.6 [95% CI 1.4-4.9]), quartile 2 (27.1%; aOR 2.3 [95% CI 1.2-4.3]), and quartile 1 (37.7%; aOR 2.4 [95% CI 1.3-4.6]). Rates of reported exposure to SARS-CoV-2 also differed by race and/or ethnicity and socioeconomic status. CONCLUSIONS: In this large cohort of children tested for SARS-CoV-2 through a community-based testing site, racial and/or ethnic minorities and socioeconomically disadvantaged children carry the highest burden of infection. Understanding and addressing the causes of these differences are needed to mitigate disparities and limit the spread of infection.


Subject(s)
Coronavirus Infections/ethnology , Epidemics , Pneumonia, Viral/ethnology , Race Factors/statistics & numerical data , Adolescent , Betacoronavirus , Black People/statistics & numerical data , COVID-19 , Child , Child, Preschool , Coronavirus Infections/epidemiology , Cross-Sectional Studies , Healthcare Disparities , Hispanic or Latino/statistics & numerical data , Humans , Pandemics , Pneumonia, Viral/epidemiology , SARS-CoV-2 , Socioeconomic Factors , United States/epidemiology , White People/statistics & numerical data
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