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Pediatrics ; 148(5)2021 11.
Article in English | MEDLINE | ID: covidwho-1357451


OBJECTIVES: To describe the demographics, clinical characteristics, and hospital course among persons <21 years of age with a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-associated death. METHODS: We conducted a retrospective case series of suspected SARS-CoV-2-associated deaths in the United States in persons <21 years of age during February 12 to July 31, 2020. All states and territories were invited to participate. We abstracted demographic and clinical data, including laboratory and treatment details, from medical records. RESULTS: We included 112 SARS-CoV-2-associated deaths from 25 participating jurisdictions. The median age was 17 years (IQR 8.5-19 years). Most decedents were male (71, 63%), 31 (28%) were Black (non-Hispanic) persons, and 52 (46%) were Hispanic persons. Ninety-six decedents (86%) had at least 1 underlying condition; obesity (42%), asthma (29%), and developmental disorders (22%) were most commonly documented. Among 69 hospitalized decedents, common complications included mechanical ventilation (75%) and acute respiratory failure (82%). The sixteen (14%) decedents who met multisystem inflammatory syndrome in children (MIS-C) criteria were similar in age, sex, and race and/or ethnicity to decedents without MIS-C; 11 of 16 (69%) had at least 1 underlying condition. CONCLUSIONS: SARS-CoV-2-associated deaths among persons <21 years of age occurred predominantly among Black (non-Hispanic) and Hispanic persons, male patients, and older adolescents. The most commonly reported underlying conditions were obesity, asthma, and developmental disorders. Decedents with coronavirus disease 2019 were more likely than those with MIS-C to have underlying medical conditions.

COVID-19/complications , Systemic Inflammatory Response Syndrome/mortality , Adolescent , COVID-19/diagnosis , COVID-19/mortality , Child , Child, Preschool , Female , Humans , Infant , Male , Retrospective Studies , Systemic Inflammatory Response Syndrome/complications , Systemic Inflammatory Response Syndrome/diagnosis , United States/epidemiology
MMWR Morb Mortal Wkly Rep ; 69(45): 1671-1674, 2020 Nov 13.
Article in English | MEDLINE | ID: covidwho-922981


In the United States, outbreaks of SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19), were initially reported in densely populated urban areas (1); however, outbreaks have since been reported in rural communities (2,3). Rural residents might be at higher risk for severe COVID-19-associated illness because, on average, they are older, have higher prevalences of underlying medical conditions, and have more limited access to health care services.* In May, after a cluster of seven COVID-19 cases was identified in a rural Ohio Amish community, access to testing was increased. Among 30 additional residents tested by real-time reverse transcription-polymerase chain reaction (RT-PCR; TaqPath COVID-19 Combo Kit),† 23 (77%) received positive test results for SARS-CoV-2. Rapid and sustained transmission of SARS-CoV-2 was associated with multiple social gatherings. Informant interviews revealed that community members were concerned about having to follow critical mitigation strategies, including social distancing§ and mask wearing.¶ To help reduce the ongoing transmission risk in a community, state and county health department staff members and community leaders need to work together to develop, deliver, and promote culturally responsive health education messages to prevent SARS-CoV-2 transmission and ensure that access to testing services is timely and convenient. Understanding the dynamics of close-knit communities is crucial to reducing SARS-CoV-2 transmission.

Amish/psychology , Coronavirus Infections/epidemiology , Disease Outbreaks , Pneumonia, Viral/epidemiology , Rural Population , Adolescent , Adult , Aged , Aged, 80 and over , Amish/statistics & numerical data , COVID-19 , Child , Coronavirus Infections/transmission , Female , Humans , Male , Middle Aged , Ohio/epidemiology , Pandemics , Pneumonia, Viral/transmission , Rural Population/statistics & numerical data , Social Behavior , Young Adult
MMWR Morb Mortal Wkly Rep ; 69(33): 1139-1143, 2020 Aug 21.
Article in English | MEDLINE | ID: covidwho-724591


Preventing coronavirus disease 2019 (COVID-19) in correctional and detention facilities* can be challenging because of population-dense housing, varied access to hygiene facilities and supplies, and limited space for isolation and quarantine (1). Incarcerated and detained populations have a high prevalence of chronic diseases, increasing their risk for severe COVID-19-associated illness and making early detection critical (2,3). Correctional and detention facilities are not closed systems; SARS-CoV-2, the virus that causes COVID-19, can be transmitted to and from the surrounding community through staff member and visitor movements as well as entry, transfer, and release of incarcerated and detained persons (1). To better understand SARS-CoV-2 prevalence in these settings, CDC requested data from 15 jurisdictions describing results of mass testing events among incarcerated and detained persons and cases identified through earlier symptom-based testing. Six jurisdictions reported SARS-CoV-2 prevalence of 0%-86.8% (median = 29.3%) from mass testing events in 16 adult facilities. Before mass testing, 15 of the 16 facilities had identified at least one COVID-19 case among incarcerated or detained persons using symptom-based testing, and mass testing increased the total number of known cases from 642 to 8,239. Case surveillance from symptom-based testing has likely underestimated SARS-CoV-2 prevalence in correctional and detention facilities. Broad-based testing can provide a more accurate assessment of prevalence and generate data to help control transmission (4).

Clinical Laboratory Techniques/statistics & numerical data , Coronavirus Infections/epidemiology , Disease Outbreaks/prevention & control , Mass Screening , Pneumonia, Viral/epidemiology , Prisons , COVID-19 , COVID-19 Testing , Coronavirus Infections/diagnosis , Coronavirus Infections/prevention & control , Housing/statistics & numerical data , Humans , Pandemics/prevention & control , Pneumonia, Viral/prevention & control , Prevalence , United States/epidemiology