Predictors of Severe Acute Respiratory Syndrome Coronavirus 2 Seropositivity Before Coronavirus Disease 2019 Vaccination Among Children 0-4 Years and Their Household Members in the SEARCh Study.

Background: Estimates of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) seroprevalence in young children and risk factors for seropositivity are scarce. Using data from a prospective cohort study of households during the pre-coronavirus disease 2019 (COVID-19) vaccine period, we estimated SARS-CoV-2 seroprevalence by age and evaluated risk factors for SARS-CoV-2 seropositivity. Methods: The SARS-CoV-2 Epidemiology and Response in Children (SEARCh) study enrolled 175 Maryland households (690 participants) with ≥1 child aged 0-4 years during November 2020-March 2021; individuals vaccinated against COVID-19 were ineligible. At enrollment, participants completed questionnaires about sociodemographic and health status and work, school, and daycare attendance. Participants were tested for SARS-CoV-2 antibodies in sera. Logistic regression models with generalized estimating equations (GEE) to account for correlation within households assessed predictors of individual- and household-level SARS-CoV-2 seropositivity. Results: Of 681 (98.7%) participants with enrollment serology results, 55 (8.1%; 95% confidence interval [CI], 6.3%-10.4%) participants from 21 (12.0%) households were seropositive for SARS-CoV-2. Among seropositive participants, fewer children than adults reported being tested for SARS-CoV-2 infection before enrollment (odds ratio [OR] = 0.23; 95% CI, .06-.73). Seropositivity was similar by age (GEE OR vs 0-4 years: 1.19 for 5-17 years, 1.36 for adults; P = .16) and was significantly higher among adults working outside the home (GEE adjusted OR = 2.2; 95% CI, 1.1-4.4) but not among children attending daycare or school. Conclusions: Before study enrollment, children and adults in this cohort had similar rates of SARS-CoV-2 infection as measured by serology. An adult household member working outside the home increased a household's odds of SARS-CoV-2 infection, whereas a child attending daycare or school in person did not.

Food Assistance Use Among Food Bank Clients Affected by Type 2 Diabetes.

OBJECTIVE: To understand the perspectives of food bank clients affected by type 2 diabetes (T2DM). DESIGN: Semi-structured in-depth interviews conducted with food bank clients. SETTING: Arizona regional food bank. PARTICIPANTS: Twenty English- and Spanish-speaking food bank clients with T2DM or living with a person with T2DM, aged 45-83 years, majority female, Hispanic, and food insecure. PHENOMENON OF INTEREST: Food bank use and preferences, and how these related to T2DM management. ANALYSIS: A hybrid thematic analysis combining inductive and deductive reasoning. RESULTS: Three organizing themes emerged from the analysis. First, food assistance was influenced by food preferences and the ability to pair with existing household foods. Second, desired support included fresh fruits and vegetables, meat, oats, oil, and herbs; recipes; cooking demonstrations; and social support. Third, factors influencing T2DM management were lack of financial resources, low motivation, insufficient nutrition knowledge, low medication adherence, and multiple comorbidities. Participants also expressed resilience and interest in improving T2DM management. CONCLUSIONS AND IMPLICATIONS: Among a predominantly Hispanic food bank sample, produce and protein-rich foods, nutrition and culinary education, and social support were components of a supportive food bank experience and should be considered when designing food-based interventions for T2DM management for food insecure persons.

Training and Incorporating Students in SARS-CoV-2 Case Investigations and Contact Tracing.

OBJECTIVES: In June 2020, Arizona had the fastest-growing number of cases of coronavirus disease 2019 (COVID-19) worldwide. As part of the growing public health response, the University of Arizona Student Aid for Field Epidemiology Response (SAFER) team was able to modify and increase case investigation efforts to assist local health departments. We outline the recommended logistical and management steps to include students in a public health response of this scope. METHODS: From April 1 through September 1, 2020, the SAFER team identified key components of a successful student team response: volunteer training, management that allows more senior students to manage newer students, adoption of case-management software, and use of an online survey platform for students to conduct interviews consistently and allow for data quality control and management. RESULTS: From April 1 through September 1, 2020, SAFER worked with 3 local health departments to complete 1910 COVID-19 case investigations through a virtual call center. A total of 233 volunteers and 46 hourly student workers and staff members were involved. As of September 2020, students were completing >150 interviews per week, including contact-tracing efforts. PRACTICE IMPLICATIONS: Developing relationships between applied public health and academic programs can relieve the burden of low-risk, high-volume case investigations at local and state health departments. Furthermore, by establishing a virtual call center, health sciences faculty and students can volunteer remotely during a pandemic with no additional risk of infection.