COVID-19 dynamics in an Ohio prison.

Incarcerated individuals are a highly vulnerable population for infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Understanding the transmission of respiratory infections within prisons and between prisons and surrounding communities is a crucial component of pandemic preparedness and response. Here, we use mathematical and statistical models to analyze publicly available data on the spread of SARS-CoV-2 reported by the Ohio Department of Rehabilitation and Corrections (ODRC). Results from mass testing conducted on April 16, 2020 were analyzed together with time of first reported SARS-CoV-2 infection among Marion Correctional Institution (MCI) inmates. Extremely rapid, widespread infection of MCI inmates was reported, with nearly 80% of inmates infected within 3 weeks of the first reported inmate case. The dynamical survival analysis (DSA) framework that we use allows the derivation of explicit likelihoods based on mathematical models of transmission. We find that these data are consistent with three non-exclusive possibilities: (i) a basic reproduction number >14 with a single initially infected inmate, (ii) an initial superspreading event resulting in several hundred initially infected inmates with a reproduction number of approximately three, or (iii) earlier undetected circulation of virus among inmates prior to April. All three scenarios attest to the vulnerabilities of prisoners to COVID-19, and the inability to distinguish among these possibilities highlights the need for improved infection surveillance and reporting in prisons.

Attitudes towards social distancing in response to COVID-19.

OBJECTIVES: COVID-19 has highlighted differences in our engagement in health prevention behaviors. The Health Belief Model (HBM), personality traits (conscientiousness, extraversion, and neuroticism), and sociodemographic variables were used to evaluate social distancing during the first month of a state-mandated Stay At Home (SAH) order. DESIGN: A web-based convenience sample of 645 Ohioans was surveyed. Hierarchical linear regression and mediation analysis were used to examine predictors of social distancing attitudes and behaviors and whether health beliefs mediated the relationship between personality and social distancing. RESULTS: Most respondents agreed with and adhered to social distancing guidelines. HBM constructs were strong predictors of SAH attitudes, while personality accounted for little additional variance. Anxiety was indirectly related to overall social distancing attitudes and behavior through its relationship with health beliefs. However, violations of social distancing were best explained by situational factors (e.g., being an essential worker). CONCLUSION: The results demonstrate the power of components of the HBM to explain attitudes and behaviors regarding the SAH order beyond any contribution from personality. By examining the role of personality and health beliefs on social distancing attitudes and behaviors, this research will benefit public health nurses and others tasked with communicating and promoting preventative health behavior.

Estimates of the value of life lost from COVID-19 in Ohio.

The economic burden of mortality due to the novel coronavirus (COVID-19) extends beyond the lives lost. Data from the Ohio Department of Public Health and Social Security Administration was used to estimate the years of potential life lost, 72,274 and economic value of those lost lives, US$17.39 billion. These estimates may be used to assess the risk-trade off of COVID-19 mitigation strategies in Ohio.

Improving Surveillance and Epidemic Response in Ohio Childcare Settings.

At the start of the Coronavirus Disease of 2019 (COVID-19) pandemic, the risk of cases in childcare programs was unknown. Thus, a rapid-response research approach was launched in Ohio childcare settings. Passive surveillance data from a state-operated incident reporting system were evaluated to estimate the number of COVID-19 cases from 15 August 2020 to 1 January 2021. Additionally, active surveillance with self-administered reverse transcriptase-polymerase chain reaction (RT-PCR) tests were conducted among staff at 46 childcare programs. Finally, six zoom-based focus groups with program administrators were used to gain feedback. Staff and children in childcare settings contributed 0.38% and 0.15% of the COVID-19 cases in Ohio during this timeframe, respectively. RT-PCR testing identified 3 unrecognized cases (0.88% of tests), and all occurred when the statewide positivity rate was >5%. Focus groups revealed that access to affordable cleaning supplies, masks, and reliable staffing were critical. Perhaps most importantly, we conclude that expanding the incident reporting system to include a childcare census would allow for the tracking of future health problems with highly valuable incidence rate estimations.

The Ohio Maternal Safety Quality Improvement Project: initial results of a statewide perinatal hypertension quality improvement initiative implemented during the COVID-19 pandemic.

BACKGROUND: Hypertensive disorders of pregnancy are a leading cause of severe maternal morbidity and mortality, and studies have shown that more than 60% of cases are preventable. As part of a statewide quality Maternal Safety Quality Improvement Project, we adapted the Alliance for Innovation on Maternal Health Severe Hypertension in Pregnancy bundle in a consortium of maternity hospitals in Ohio to improve care processes and outcomes for patients with a severe hypertensive event during pregnancy or the postpartum period. OBJECTIVE: This study aimed to report the first year of data from this Maternal Safety Quality Improvement Project, including an assessment of the process measures by hospital level of maternal care designation, and provide perspective on the unique challenges of implementing a large-scale Maternal Safety Quality Improvement Project during a global pandemic. STUDY DESIGN: This Maternal Safety Quality Improvement Project engaged Ohio level 1 to 4 maternity hospitals and provided multimodal quality improvement support. Participating hospitals submitted monthly patient-level data, which included all cases of new-onset sustained severe hypertension. The primary process measure was the proportion of birthing people in Ohio with sustained severe hypertension who received treatment with appropriate acute antihypertensive therapy within 60 minutes. The secondary process measures included receipt of a follow-up appointment after hospital discharge within 72 hours (if discharged on medication) or 10 days (if discharged without medication), a blood pressure cuff on hospital discharge, and education about urgent maternal warning signs. Data for primary and secondary process measures were plotted on a biweekly basis, and statistical process control methods were used to identify special cause variation over time. Data were stratified by various demographic variables, including race or ethnicity, insurance status, and maternal level of care. To assess the effect of the COVID-19 pandemic on this Maternal Safety Quality Improvement Project, process measure data were compared with COVID-19 case volume in Ohio across the study epoch. RESULTS: A total of 29 hospitals participated in the project from July 2020 to September 2021. Data were collected on 4948 hypertensive events representing 4678 unique patients. In aggregate, the primary process measure (timely and appropriate treatment) demonstrated a 19.3% increase (from a baseline of 56.5% to 67.4%; P<.001). The secondary process measures demonstrated significant increases ranging from 26.1% to 166.8% (all P<.001). Both non-Hispanic Black and White pregnant or postpartum people demonstrated shifts and sustained improvements in the treatment of severe hypertension, which did not differ by race across the study period. Process measure improvements were achieved and sustained across peaks in the COVID-19 pandemic. CONCLUSION: This Ohio Maternal Safety Quality Improvement Project demonstrated meaningful changes in project process measures in the identification and treatment of severe hypertension in pregnancy and the postpartum period. Process measures improvements were achieved across all hospital levels of maternal care, and differences were not observed by race or ethnicity. Our findings suggest that a robust and comprehensive quality improvement initiative with appropriate support and resources can achieve meaningful gains in the setting of a global pandemic.

SARS-CoV-2 Reinfection With Different SARS-CoV-2 Variants in Children, Ohio, United States.

BACKGROUND: Beginning in late 2021, we observed a significant increase in SARS-CoV-2 reinfections in pediatric patients evaluated at our institution. We aimed to characterize the children with SARS-CoV-2 reinfection, determine the number of SARS-CoV-2 reinfections, and characterize the intervals between two infections in our patient population. METHODS: From March 2020 to September 2022, we identified children ≤21 years old who had ≥2 SARS-CoV-2 infections using laboratory reports. We then defined the type of SARS-CoV-2 variant in the first and subsequent infections by mutation-specific typing or local epidemiology data. Clinical outcomes and the intervals between SARS-CoV-2 infections were assessed. RESULTS: We identified 541 children with ≥2 SARS-CoV-2 infections. The median interval between two infections was 229 days. The hospitalization rate was lower in the second infection. Reinfection counts were higher during the periods that Omicron variants predominated. Reinfection occurred more rapidly when Omicron variants were circulating with some occurring in less than 90 days. CONCLUSIONS: As SARS-CoV-2 continues to evolve, there is a need for ongoing surveillance to identify the frequency and time interval between reinfections and to re-evaluate the definition of SARS-CoV-2 reinfections.

SARS-CoV-2 Seroprevalence Among First Responders in Northeastern Ohio, 2020.

OBJECTIVES: First responders, including firefighters, emergency medical technicians (EMTs), paramedics, and law enforcement officers, are working on the front lines to fight the COVID-19 pandemic and facing an increased risk of infection. This study assessed the seroprevalence of SARS-CoV-2 infection among first responders in northeastern Ohio. METHODS: A survey and immunoglobulin G antibody test against SARS-CoV-2 nucleocapsid protein were offered to University Hospitals Health System-affiliated first-responder departments during May to September 2020. The survey contained questions about demographic characteristics and history of SARS-CoV-2 infection. A total of 3080 first responders with diverse job assignments from more than 400 fire and police departments participated in the study. RESULTS: Of 3080 participants, 73 (2.4%) were seropositive and 26 (0.8%) had previously positive real-time polymerase chain reaction results. Asymptomatic infection accounted for 46.6% (34 of 73) of seropositivity. By occupation, rates of seropositivity were highest among administration/support staff (3.8%), followed by paramedics (3.0%), EMTs (2.6%), firefighters (2.2%), and law enforcement officers (0.8%). Work-associated exposure rates to COVID-19 patients were: paramedics (48.2%), firefighters (37.1%), EMTs (32.3%), law enforcement officers (7.7%), and administration/support staff (4.4%). Self-reported community exposure was positively correlated with self-reported work-associated exposure rate (correlation coefficient = 0.99). Neither self-reported community nor work-associated exposure was correlated with SARS-CoV-2 seroprevalence. We found no significant difference in seroprevalence among sex/gender or age groups; however, Black participants had a higher positivity rate than participants of other racial groups despite reporting lower exposure. CONCLUSIONS: Despite the high work-associated exposure rate to SARS-CoV-2 infection, first responders with various roles demonstrated seroprevalence no higher than their administrative/supportive colleagues, which suggests infection control measures are effective in preventing work-related infection.

Projecting COVID-19 cases and hospital burden in Ohio.

As the Coronavirus 2019 disease (COVID-19) started to spread rapidly in the state of Ohio, the Ecology, Epidemiology and Population Health (EEPH) program within the Infectious Diseases Institute (IDI) at The Ohio State University (OSU) took the initiative to offer epidemic modeling and decision analytics support to the Ohio Department of Health (ODH). This paper describes the methodology used by the OSU/IDI response modeling team to predict statewide cases of new infections as well as potential hospital burden in the state. The methodology has two components: (1) A Dynamical Survival Analysis (DSA)-based statistical method to perform parameter inference, statewide prediction and uncertainty quantification. (2) A geographic component that down-projects statewide predicted counts to potential hospital burden across the state. We demonstrate the overall methodology with publicly available data. A Python implementation of the methodology is also made publicly available. This manuscript was submitted as part of a theme issue on "Modelling COVID-19 and Preparedness for Future Pandemics".

Amid Ohio Measles Outbreak, New Global Report Warns of Decreased Vaccination During COVID-19 Pandemic.

This Medical News article discusses an annual report on measles from the World Health Organization and the US Centers for Disease Control and Prevention.

Stress and Depression in Ohio Social Workers during the COVID-19 Pandemic: The Buffering Role of Social Connectedness.

Although social workers have an elevated risk of infection with COVID-19, no previous studies have investigated the virus's impact on practitioners. Using survey data (N = 441), this study identified associations between stress, depression, and COVID-related factors and explored the role of social connectedness as a moderator for mental health among Ohio social workers. The results of the study showed that among social workers with a positive COVID-19 diagnosis, 70 percent experienced moderate/high levels of stress, and 37 percent met the criteria for clinical depressive symptoms. Results from the multiple regression analyses showed that perceived stress was positively associated with a positive COVID-19 diagnosis for social workers, and depression was positively associated with working with a client with a positive COVID-19 diagnosis. An interaction effect was also identified between social connectedness and social workers' mental health. These findings suggest that the provision of individual or organizational interventions that emphasize social connectedness can help to protect social workers' mental health.

Child welfare workers satisfaction and wellbeing during the COVID-19 pandemic: Perspectives of agency staff in Ohio.

BACKGROUND: The COVID-19 pandemic has impacted the lives of children and families, created additional stressors, and increased risks for maltreatment. The pandemic has changed the way child welfare agencies operate, requiring changes to policies and practice. Minimal research has considered the effects of the COVID-19 pandemic on child welfare workers wellbeing and job satisfaction. OBJECTIVE: This mixed-methods research study seeks to understand CPS staff satisfaction, variables impacting satisfaction, and challenges that increased since the pandemic began for child welfare workers in Ohio. PARTICIPANTS AND SETTING: A sample of staff members (n = 267) from 50 CPS agencies across Ohio participated in the study. METHODS: This mixed-methods study used logistic regression, chi square analyses, and thematic analysis to analyze the data from a survey sent to child welfare agencies in Ohio. RESULTS: Caring for minor children, primary role at work, and years in child welfare were significantly associated with job satisfaction. Those working in foster care/placement, adoption/permanency, family support/visitation, kinship were 7.57 times more likely than those doing intake/investigation work to be satisfied with their job (p = .007). Thematic analysis of staff issues that increased during the pandemic resulted in six themes: Stress and Anxiety, Feeling Overwhelmed, Burnout, All, Motivation, and Isolation and Disconnection. CONCLUSIONS: The COVID-19 pandemic has created additional stressors for child welfare staff. Practice implications are discussed to help increase job satisfaction, staff wellbeing, and mitigate turnover.

Changes in Sexual Behavior Over the COVID-19 Pandemic Among a Community-Based Cohort of Men Who Have Sex With Men in Columbus, Ohio.

BACKGROUND: The purpose was to assess COVID-19 beliefs and attitudes and examine COVID-19-related changes in sexual behavior of men who have sex with men during 3 time periods: April-July 2020 (T1), August-December 2020 (T2), January-May 2021 (T3). METHODS: Data were analyzed from 157 men who have sex with men in Ohio recruited to participate in a longitudinal multisite network study of syphilis epidemiology in 3 US cities: Columbus, Ohio; Baltimore, Maryland; and Chicago, Illinois. In April 2020, a COVID-19 module was appended to existing baseline and follow-up surveys to assess beliefs, attitudes, and changes in sexual behavior. Sample characteristics were summarized. Correlations between demographic variables (age, racial identity) and COVID-19 outcomes were examined. RESULTS: In response to COVID-19 social distancing restrictions and self-reported anxiety, some men limited sexual activity at T1, but the majority (n = 105 [67%]) continued to engage in sex. The number of men engaging in sex increased over time (T2: n = 124 [79%]; T3: n = 121 [77%]). At T1, men not in a relationship more frequently reported having less sex compared with prepandemic (n = 39 [57%]). By T3, men in a relationship more frequently reported less sex (n = 32 [54%]). Increased anxiety about sex and condom use was positively correlated with identifying as a man of color (P < 0.001). Most of the sample reported either starting or increasing online sexual activity during each time period. CONCLUSIONS: Future efforts to target sexual health during a pandemic or other health emergencies should prioritize men of color and address the unique perspective of both single and partnered men.

Maintaining School Foodservice Operations in Ohio during COVID-19: "This [Was] Not the Time to Sit Back and Watch".

The COVID-19-related lockdowns led to school closures across the United States, cutting off critical resources for nutritious food. Foodservice employees emerged as frontline workers; understanding their experiences is critical to generate innovations for program operations and viability. The purpose of this cross-sectional study was to characterize COVID-19-related foodservice adaptations for summer and school year meal provision. Public school district foodservice administrators across Ohio were surveyed in December 2020. Questions related to meal provision before, during, and after COVID-19-related school closures. Results indicate the majority of districts continued providing meals upon their closure in Spring 2020 (n = 182, 87.1%); fewer did so in Summer (n = 88, 42.1%) and Fall (n = 32, 15.3%). In Spring and Summer, most districts that offered meals functioned as 'open sites' (67.0% and 87.5%, respectively), not limiting food receipt to district-affiliated students. Most districts employed a pick-up system for food distribution (76-84% across seasons), though some used a combination of approaches or changed their approach within-season. Qualitatively, districts reported both "successes" (e.g., supporting students) and "challenges" (e.g., supply chain). Despite being ill-prepared, districts responded quickly and flexibly to demands of the pandemic. This analysis provides insight for future practice (e.g., establishing community partnerships) and policy (e.g., bolstering local food systems).

SARS-CoV-2 infection in free-ranging white-tailed deer.

Humans have infected a wide range of animals with SARS-CoV-21-5, but the establishment of a new natural animal reservoir has not been observed. Here we document that free-ranging white-tailed deer (Odocoileus virginianus) are highly susceptible to infection with SARS-CoV-2, are exposed to multiple SARS-CoV-2 variants from humans and are capable of sustaining transmission in nature. Using real-time PCR with reverse transcription, we detected SARS-CoV-2 in more than one-third (129 out of 360, 35.8%) of nasal swabs obtained from O. virginianus in northeast Ohio in the USA during January to March 2021. Deer in six locations were infected with three SARS-CoV-2 lineages (B.1.2, B.1.582 and B.1.596). The B.1.2 viruses, dominant in humans in Ohio at the time, infected deer in four locations. We detected probable deer-to-deer transmission of B.1.2, B.1.582 and B.1.596 viruses, enabling the virus to acquire amino acid substitutions in the spike protein (including the receptor-binding domain) and ORF1 that are observed infrequently in humans. No spillback to humans was observed, but these findings demonstrate that SARS-CoV-2 viruses have been transmitted in wildlife in the USA, potentially opening new pathways for evolution. There is an urgent need to establish comprehensive 'One Health' programmes to monitor the environment, deer and other wildlife hosts globally.

Prevalence of current and past COVID-19 in Ohio adults.

Purpose To estimate the prevalence of current and past COVID-19 in Ohio adults. Methods We used stratified, probability-proportionate-to-size cluster sampling. During July 2020, we enrolled 727 randomly-sampled adult English- and Spanish-speaking participants through a household survey. Participants provided nasopharyngeal swabs and blood samples to detect current and past COVID-19. We used Bayesian latent class models with multilevel regression and poststratification to calculate the adjusted prevalence of current and past COVID-19. We accounted for the potential effects of non-ignorable non-response bias. Results The estimated statewide prevalence of current COVID-19 was 0.9% (95% credible interval: 0.1%-2.0%), corresponding to ∼85,000 prevalent infections (95% credible interval: 6,300-177,000) in Ohio adults during the study period. The estimated statewide prevalence of past COVID-19 was 1.3% (95% credible interval: 0.2%-2.7%), corresponding to ∼118,000 Ohio adults (95% credible interval: 22,000-240,000). Estimates did not change meaningfully due to non-response bias. Conclusions Total COVID-19 cases in Ohio in July 2020 were approximately 3.5 times as high as diagnosed cases. The lack of broad COVID-19 screening in the United States early in the pandemic resulted in a paucity of population-representative prevalence data, limiting the ability to measure the effects of statewide control efforts.

Examining Violence Against Women at a Regional Level 1 Trauma Center During the COVID-19 Pandemic.

INTRODUCTION: There is a growing concern that certain public health restrictions imposed to prevent the spread of coronavirus disease 2019 (COVID-19) could result in more violence against women (VAW). We sought to determine if the rates and types of VAW changed during the COVID-19 pandemic at our level 1 trauma center (L1TC). METHODS: We performed a retrospective review of female patients who presented to our L1TC because of violence from 2019 through 2020. Patients were grouped into a pre-COVID or COVID period. The primary aim of this study was to compare rates of VAW between groups. Secondary aims sought to evaluate for any difference in traumatic mechanism between periods and to determine if a temporal relationship existed between COVID-19 and VAW rates. RESULTS: There was no difference in rates of VAW between the pre-COVID and COVID period (3.1% vs 3.6%, P = .6); however, rates of penetrating trauma were greater during the COVID period (38.2% vs 10.3%, P = .01). After controlling for patient age and race, the odds of penetrating trauma increased during the pandemic (OR 5.8, 95% CI 1.6-28.5, P < .01). From February 2020 through October 2020, there was a direct relationship between rates of COVID-19 and VAW (r2 .78, P < .01). CONCLUSION: Rates of VAW were unchanged between the pre-COVID and COVID periods, yet the odds of penetrating VAW were 5 times greater during the pandemic. Moving forward, trauma surgeons must remain vigilant for signs of violence and ensure that support services are available during future crises.

Excess Mortality Associated With COVID-19 by Demographic Group: Evidence From Florida and Ohio.

OBJECTIVE: COVID-19 mortality varies across demographic groups at the national level, but little is known about potential differences in COVID-19 mortality across states. The objective of this study was to estimate the number of all-cause excess deaths associated with COVID-19 in Florida and Ohio overall and by sex, age, and race. METHODS: We calculated the number of weekly and cumulative excess deaths among adults aged ≥20 from March 15 through December 5, 2020, in Florida and Ohio as the observed number of deaths less the expected number of deaths, adjusted for population, secular trends, and seasonality. We based our estimates on death certificate data from the previous 10 years. RESULTS: The results were based on ratios of observed-to-expected deaths. The ratios were 1.17 (95% prediction interval, 1.14-1.21) in Florida and 1.15 (95% prediction interval, 1.11-1.19) in Ohio. Although the largest number of excess deaths occurred in the oldest age groups, in both states the ratios of observed-to-expected deaths were highest among adults aged 20-49 (1.21; 95% prediction interval, 1.11-1.32). The ratio of observed-to-expected deaths for the Black population was especially elevated in Florida. CONCLUSIONS: Although excess deaths were largely concentrated among older cohorts, the high ratios of observed-to-expected deaths among younger age groups indicate widespread effects of COVID-19. The high levels of observed-to-expected deaths among Black adults may reflect in part disparities in infection rates, preexisting conditions, and access to care. The finding of high excess deaths among Black adults deserves further attention.