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1.
Pediatr Res ; 90(5): 1073-1080, 2021 11.
Article in English | MEDLINE | ID: mdl-34304252

ABSTRACT

BACKGROUND: Understanding SARS-CoV-2 infection in children is necessary to reopen schools safely. METHODS: We measured SARS-CoV-2 infection in 320 learners [10.5 ± 2.1 (sd); 7-17 y.o.] at four diverse schools with either remote or on-site learning. Schools A and B served low-income Hispanic learners; school C served many special-needs learners, and all provided predominantly remote instruction. School D served middle- and upper-income learners, with predominantly on-site instruction. Testing occurred in the fall (2020), and 6-8 weeks later during the fall-winter surge (notable for a tenfold increase in COVID-19 cases). Immune responses and mitigation fidelity were also measured. RESULTS: We found SARS-CoV-2 infections in 17 learners only during the surge. School A (97% remote learners) had the highest infection (10/70, 14.3%, p < 0.01) and IgG positivity rates (13/66, 19.7%). School D (93% on-site learners) had the lowest infection and IgG positivity rates (1/63, 1.6%). Mitigation compliance [physical distancing (mean 87.4%) and face-covering (91.3%)] was remarkably high at all schools. Documented SARS-CoV-2-infected learners had neutralizing antibodies (94.7%), robust IFN-γ + T cell responses, and reduced monocytes. CONCLUSIONS: Schools can implement successful mitigation strategies across a wide range of student diversity. Despite asymptomatic to mild SARS-CoV-2 infection, children generate robust humoral and cellular immune responses. IMPACT: Successful COVID-19 mitigation was implemented across a diverse range of schools. School-associated SARS-CoV-2 infections reflect regional rates rather than remote or on-site learning. Seropositive school-aged children with asymptomatic to mild SARS-CoV-2 infections generate robust humoral and cellular immunity.


Subject(s)
COVID-19/virology , Immunity, Cellular , Immunity, Humoral , SARS-CoV-2/immunology , Students , Adolescent , Age Factors , COVID-19/diagnosis , COVID-19/epidemiology , COVID-19/immunology , COVID-19 Testing , California/epidemiology , Child , Communicable Disease Control , Education, Distance , Female , Host-Pathogen Interactions , Humans , Incidence , Male , SARS-CoV-2/pathogenicity
2.
medRxiv ; 2021 Jun 16.
Article in English | MEDLINE | ID: mdl-33791712

ABSTRACT

BACKGROUND: Understanding SARS-CoV-2 infection in children is necessary to reopen schools safely. METHODS: We measured SARS-CoV-2 infection in 320 learners [10.5 ± 2.1(sd); 7-17 y.o.] at four diverse schools with either remote or on-site learning. Schools A and B served low-income Hispanic learners; school C served many special-needs learners; and all provided predominantly remote instruction. School D served middle- and upper-income learners, with predominantly on-site instruction. Testing occurred in the fall (2020), and 6-8 weeks later during the fall-winter surge (notable for a tenfold increase in COVID-19 cases). Immune responses and mitigation fidelity were also measured. RESULTS: We found SARS-CoV-2 infections in 17 learners only during the surge. School A (97% remote learners) had the highest infection (10/70, 14.3%, p<0.01) and IgG positivity rates (13/66, 19.7%). School D (93% on-site learners) had the lowest infection and IgG positivity rates (1/63, 1.6%). Mitigation compliance [physical distancing (mean 87.4%) and face covering (91.3%)] was remarkably high at all schools. Documented SARS-CoV-2-infected learners had neutralizing antibodies (94.7%), robust IFN-γ+ T cell responses, and reduced monocytes. CONCLUSION: Schools can implement successful mitigation strategies across a wide range of student diversity. Despite asymptomatic to mild SARS-CoV-2 infection, children generate robust humoral and cellular immune responses. KEY POINTS: Successful COVID-19 mitigation was implemented across a diverse range of schools.School-associated SARS-CoV-2 infections reflect regional rates rather than remote or on-site learning.Seropositive school-aged children with asymptomatic to mild SARS-CoV-2 infections generate robust humoral and cellular immunity.

3.
J Community Health ; 46(5): 1013-1019, 2021 10.
Article in English | MEDLINE | ID: mdl-33835369

ABSTRACT

Willingness and reasons to be vaccinated against COVID-19 were examined among 26,324 respondents who completed a survey on willingness and questions related to Confidence in vaccine safety, Complacency about the disease, Convenience of vaccination, tendency to Calculate risks versus benefits, and Concern for protecting others. Willingness to be vaccinated differed by age (p < 0.001), by race and ethnicity (p < 0.001) and by level of education (p < 0.001). Willingness generally increased with age and education. Asians were most willing to be vaccinated, followed by non-Hispanic Whites, Hispanics, and non-Hispanic Blacks (p < 0.001). Occupational groups differed in willingness (p < 0.001). Retired and students were more willing than all others (p < 0.001) followed by disabled or unemployed, healthcare workers, and educators. First Responders were least willing to be vaccinated (p < 0.001) followed by construction, maintenance and landscaping, homemakers, housekeeping, cleaning and janitorial workers, and retail and food service. The strongest predictor of willingness was confidence with the safety of the vaccine (r = 0.723, p < 0.001), followed by concern with protecting others by being vaccinated (r = 0.574, p < 0.001), and believing COVID-19 was serious enough to merit vaccination (r = 0.478, p < 0.00). Using multiple regression, confidence in safety was the strongest predictor for all groups. Protecting others was strongest for 13 of 15 demographic groups and 8 of 11 occupational groups. College educated, non-Hispanic Whites, first responders, construction, maintenance and landscape workers, housekeeping, cleaning and janitorial workers all gave greater weight to complacency about the disease. These results can help in designing programs to combat vaccine hesitancy.


Subject(s)
COVID-19/prevention & control , Vaccination Refusal/ethnology , Vaccination Refusal/psychology , Vaccination/statistics & numerical data , Adolescent , Adult , Age Distribution , Aged , Aged, 80 and over , COVID-19/epidemiology , COVID-19/psychology , Ethnicity , Female , Humans , Male , Middle Aged , SARS-CoV-2 , Sex Distribution , Surveys and Questionnaires , United States/epidemiology , Vaccination Refusal/statistics & numerical data
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