Asthma as a Risk Factor for Hospitalization in Children and Youth With COVID-19: A Retrospective Cohort Study.

BACKGROUND: Studies examining the association between asthma and hospitalization among children and youth with coronavirus disease 2019 (COVID-19) have yielded mixed results. Both asthma and COVID-19 hospitalization are characterized by racial, ethnic and socioeconomic disparities which also pattern geographically, yet no studies to date have adjusted for neighborhood context in the assessment of this association. METHODS: Mixed effects logistic regression was used to estimate the association between asthma and hospitalization due to COVID-19 in a sample of 28,997 children and youth diagnosed with COVID-19 in Milwaukee County, Wisconsin, from March 1, 2020, to May 31, 2022. Models adjusted for individual-level sociodemographic factors (age, gender, race, ethnicity and city/suburb residence) and season of diagnosis were examined as moderators. Random intercepts by census tract accounted for geographic variation in neighborhood factors and census tract-level measures of education, health and environment, and social and economic factors were assessed via childhood opportunity indices. RESULTS: Asthma history was statistically significantly associated with hospitalization due to COVID-19 among children and youth. Hospitalization rates varied statistically significantly by census tract, and results were unchanged after accounting for childhood opportunity indices and census tract. Season of diagnosis was not found to moderate the effect of asthma history on COVID-19 hospitalization. CONCLUSION: Our study suggests that asthma history is a risk factor for hospitalization in the context of COVID-19 infection among children and youth, warranting observation and follow-up of children with asthma as well as continued measures to prevent COVID-19 in this population.

The Relationships Between Socioeconomic Status, COVID-19 Risk Perceptions, and the Adoption of Protective Measures in a Mid-Western City in the United States.

An individual's perception of risk plays an influential role in the behaviors they engage in, which could reduce or increase exposure or transmission of a certain disease. Since risk perceptions vary by social identities (e.g., gender, race/ethnicity, age) they are believed to influence the interpretation and likelihood of following guidance from risk-communication efforts. This study aims to understand how COVID-19 risk perceptions vary by social identity (with an emphasis upon socioeconomic factors), how such identities influence behavior adoption through risk-communication pathways, and how findings can be practically applied in messaging. Previous studies have investigated the role of social factors on risk perceptions, but SES has not been modeled as the main factor. Guided by the Health Belief Model and Social Determinant of Health Frameworks, findings from our 326 participants suggest those with high-risk COVID-19 perceptions identified as higher income and held more advanced educational degrees, suggesting a positive relationship between risk perceptions and SES. Individuals with high-risk perceptions more frequently reported practicing protective behaviors against COVID-19 and reported greater severity, susceptibility, barriers, benefits, trust, confidence, and health literacy in adopting behavior changes against the virus. When applying such findings to create a local risk-communication plan (logic model), it was found that messaging should be culturally relevant, in-plain language, and consistent to improve health literacy. In addition to using the most trusted and frequently used communication sources self-identified by residents, we recommend uniting trusted formal and informal community leaders to provide information in diverse pathways and formats.

Investigating the Trajectory of the COVID-19 Outbreak in Milwaukee County and Projected Effects of Relaxed Distancing.

INTRODUCTION: The coronavirus pandemic has placed enormous stresses on health care systems across the United States and internationally. Predictive modeling has been an important tool for projecting utilization rates and surge planning. As the initial outbreak begins to slow, questions are being raised regarding long-term coronavirus mitigation plans. This paper examines the current status of the coronavirus outbreak in Milwaukee County, Wisconsin, and simulates several scenarios where physical distancing measures are removed. METHODS: The outbreak's doubling time, reproductive numbers at several points, and incidence curve were calculated to assess outbreak progression. Compartmental models were used to estimate the number of hospitalizations and critically ill patients in Milwaukee County if distancing policies were removed. RESULTS: The compartmental models predict a substantial spike in cases and overwhelming medical resource utilization with an abrupt end to social distancing. Partial reduction in social distancing policies would likely result in a smaller spike, with less severe strain on available medical resources. CONCLUSIONS: Milwaukee County remains very susceptible to a resurgence of COVID-19 cases. Removing physical distancing policies poses significant risks with regard to resource management.

Occupational risks during a monkeypox outbreak, Wisconsin, 2003.

We determined factors associated with occupational transmission in Wisconsin during the 2003 outbreak of prairie dog--associated monkeypox virus infections. Our investigation included active contact surveillance, exposure-related interviews, and a veterinary facility cohort study. We identified 19 confirmed, 5 probable, and 3 suspected cases. Rash, headache, sweats, and fever were reported by > 80% of patients. Occupationally transmitted infections occurred in 12 veterinary staff, 2 pet store employees, and 2 animal distributors. The following were associated with illness: working directly with animal care (p = 0.002), being involved in prairie dog examination, caring for an animal within 6 feet of an ill prairie dog (p = 0.03), feeding an ill prairie dog (p = 0.002), and using an antihistamine (p = 0.04). Having never handled an ill prairie dog (p = 0.004) was protective. Veterinary staff used personal protective equipment sporadically. Our findings underscore the importance of standard veterinary infection-control guidelines.