Municipal Ethnic Composition and Disparities in COVID-19 Infections in New Jersey: A Blinder-Oaxaca Decomposition Analysis.

COVID-19 has disproportionally impacted Latinx and Black communities in the US. Our study aimed to extend the understanding of ethnic disparities in COVID-19 case rates by using a unique dataset of municipal case rates across New Jersey (NJ) during the first 17 months of the pandemic. We examined the extent to which there were municipal-level ethnic disparities in COVID-19 infection rates during three distinct spikes in case rates over this period. Furthermore, we used the Blinder-Oaxaca decomposition analysis to identify municipal-level exposure and vulnerability factors that contributed to ethnic disparities and how the contributions of these factors changed across the three initial waves of infection. Two clear results emerged. First, in NJ, the COVID-19 infection risk disproportionally affected Latinx communities across all three waves during the first 17 months of the pandemic. Second, the exposure and vulnerability factors that most strongly contributed to higher rates of infection in Latinx and Black communities changed over time as the virus, alongside medical and societal responses to it, also changed. These findings suggest that understanding and addressing ethnicity-based COVID-19 disparities will require sustained attention to the systemic and structural factors that disproportionately place historically marginalized ethnic communities at greater risk of contracting COVID-19.

An Examination of US COVID-19 Vaccine Distribution in New Jersey, Pennsylvania, and New York.

COVID-19 quickly spread across the United States (US) while communications and policies at all government levels suffered from inconsistency, misinformation, and lack of coordination. In order to explain the discrepancy between availability and population uptake, a case study was conducted analyzing vaccine rollout plans, social media, and Health Officer/Other Key Informant interviews in New Jersey, New York, and Pennsylvania. Key research questions included, "What were the barriers and facilitators of early COVID vaccine distribution?" and "What mechanisms in the community emerged to alleviate strains in early vaccination?" Findings from this study revealed that pre-existing emergency preparedness infrastructures and plans developed since the 9/11 tragedy were seemingly abandoned. This caused health departments at all levels of government to make impromptu, non-uniform decisions leading to confusion, vaccine hesitancy, and ultimately low uptake. The results indicate that future vaccine rollout best practices must include evidence-based decision-making, coordinated communications, and outreach to high-priority and vulnerable communities.

Trauma Incidence During the New Jersey COVID-19 Stay-At-Home Order: A Multicenter Study.

INTRODUCTION: Given the early surge of COVID-19 in New Jersey (NJ), a statewide executive order (EO) to stay-at-home was instituted on March 22, 2020. We hypothesized that the EO would result in a decreased number of trauma admissions, length of stay, and resources utilized in trauma patients at NJ trauma centers. METHODS: In an institutional review board-approved, retrospective, multicenter study, trauma registries at three level one trauma centers in NJ were queried from March 22 to June 14 in 2020 and compared to the same timeframe the year prior. Epidemiological and clinical data were obtained including demographics, select preexisting conditions, mechanism of injury, injury severity score, resources utilized, and outcomes. RESULTS: 1859 trauma patients were evaluated during the EO versus 2201 the year prior. During the EO, trauma patients were less likely to be transferred from another hospital (21% versus 29% P < 0.05), more likely to have a penetrating mechanism (16% versus 12% P < 0.05), were equally likely to require a procedure (P = 0.44) and had similar injury severity score (5 [interquartile range [IQR] 1-9] versus 5 [IQR 1-9], P = 0.73). There was no significant difference in ventilator days (0 [IQR 0-1] versus 0 [IQR 0-2] P = 0.08), intensive care unit days (2 [IQR 0-4] versus 2 [IQR 0-3] P = 0.99), or length of stay (2 [IQR 1-5] versus 2 [IQR 1-6] P = 0.73). Patients were more likely to be sent home than to rehabilitation or long-term acute care hospital during the EO (81% versus 78%, P = 0.02). CONCLUSIONS: The 2020 COVID-19 EO was associated with a significantly different epidemiology with a higher rate of penetrating injury during the EO, and similar volume of injured patients evaluated.

COVID-19 School vs. Community-Based Outbreak Trends among New Jersey K-12 Schools during the 2020-2021 School Year.

Identifying potential rapid methods to track COVID-19 trends within schools has become a necessity in understanding how to provide both education and maintain health and safety during a pandemic. This study examined COVID-19 trends and sociodemographic information in New Jersey (NJ) schools during the 2020-2021 school year. A database was compiled for this study in Microsoft Excel using various state and federal resources. Data used in the study are a combination of extracted data from weekly NJ Spotlight reports, weekly NJ COVID-19 Activity Level Index (NJ CALI) reports, and reports of school-based outbreaks via the NJ Department of Health (NJDOH). In 2020-2021, in NJ K-12 schools, the NJDOH defined a school-based outbreak incidence as two or more students and/or adult staff with a laboratory-confirmed positive molecular test for COVID-19 based on transmission occurring on campus. Data were organized into six regions across 21 counties within NJ (3-4 counties per region per NJDOH). COVID-19 trends in NJ schools mirrored trends in their districts, i.e., communities, within the state's region; noticeably, there were consistently high trends during the winter holiday season (November 2020-January 2021). The cumulative number of incidences of school-based outbreaks remained relatively low but, nevertheless, increased throughout the 2020-2021 school year. This study recommends increased accessibility to COVID-19 reports for school and public health officials, and in the future for data to be reported to identify rates of transmission of other communicable diseases within K-12 students, and to further reinforce established mandates and other preventative measures in public while traveling during holiday seasons.

Genomic Epidemiology and Serology Associated with a SARS-CoV-2 R.1 Variant Outbreak in New Jersey.

Examining the neutralizing capacity of monoclonal antibodies (MAbs) used to treat COVID-19, as well as antibodies recovered from unvaccinated, previously vaccinated, and infected individuals, against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern (VOCs) remains critical to study. Here, we report on a SARS-CoV-2 nosocomial outbreak caused by the SARS-CoV-2 R.1 variant harboring the E484K mutation in a 281-bed psychiatric facility in New Jersey among unvaccinated inpatients and health care professionals (HCPs). A total of 81 inpatients and HCPs tested positive for SARS-Cov-2 by reverse transcription (RT)-PCR from 29 October 9 to 30 November 2020. The R.1 variant exhibits partial or complete resistance to two MAbs in clinical use, as well as 2 receptor binding domain MAbs and 4 N-terminal domain (NTD) MAbs. NTD MAbs against pseudovirus harboring single characteristic R.1 mutations highlight the role of S255F in loss of activity. Additionally, we note dampened neutralization capacity by plasma from individuals with previous SARS-CoV-2 infection or sera from vaccinated individuals. The relative resistance of the R.1 variant is likely lower than that of B.1.351 and closer to that of P.1 and B.1.526. The R.1 lineage has been reported in 47 states in the United States and 40 countries. Although high proportions exhibited symptoms (26% and 61% among patients and HCPs, respectively) and relative antibody resistance, we detected only 10 R.1 variants from over 2,900 samples (~0.34%) collected from January to October 2021. Among 3 vaccinated individuals previously infected with R.1, we observed robust neutralizing antibody responses against SARS-CoV-2 wild type and VOCs. IMPORTANCE The neutralizing capacities of monoclonal antibodies used to treat COVID-19 and of those recovered from previously infected and vaccinated individuals against SARS-CoV-2 variants of concern (VOCs) remain important questions. We report on a nosocomial outbreak caused by a SARS-CoV-2 R.1 variant harboring an E484K mutation among 81 unvaccinated inpatients and health care professionals. We note high attack rates with symptoms in nearly 50% of infected individuals, in sharp contrast to an unrelated institutional outbreak caused by the R.1 variant among a vaccinated population. We found little evidence of significant community spillover. This variant exhibits partial or complete resistance to two monoclonal antibodies in clinical use and dampened the neutralization capacity of convalescent-phase plasma from individuals with previous infection or sera from vaccinated individuals. Among three vaccinated individuals previously infected with R.1, we observed robust neutralizing antibody responses against SARS-CoV-2 wild type and VOCs. These findings underscore the importance of vaccination for prevention of symptomatic COVID-19 disease.

Carceral Amplification of COVID-19: Impacts for Community, Corrections Officer, and Incarcerated Population Risks.

COVID-19 is challenging many societal institutions, including our criminal justice systems. Some have proposed or enacted (e.g., the State of New Jersey) reductions in the jail and/or prison populations. We present a mathematical model to explore the epidemiologic impact of such interventions in jails and contrast them with the consequences of maintaining unaltered practices. We consider infection risk and likely in-custody deaths, and estimate how within-jail dynamics lead to spill-over risks, not only affecting incarcerated people but increasing exposure, infection, and death rates for both corrections officers and the broader community beyond the justice system. We show that, given a typical jail-community dynamic, operating in a business-as-usual way results in substantial, rapid, and ongoing loss of life. Our results are consistent with the hypothesis that large-scale reductions in arrest and speeding of releases are likely to save the lives of incarcerated people, jail staff, and the wider community.

Antibody Seroprevalence, Infection and Surveillance for SARS-CoV-2 in Residents and Staff of New Jersey Long-Term Care Facilities.

Early in the pandemic, New Jersey (NJ) long-term care facilities (LTCFs) witnessed severe COVID-19 illness. With limited surveillance to characterize the scope of infection, we estimated the prevalence of antibody to the SARS-CoV-2 nucleocapsid protein among residents and staff, to describe the epidemiology, and to measure antibody distribution by prior PCR/antigen status and symptomatology. 10 NJ LTCFs of 20 solicited with diverse geography and bed-capacities were visited between October 2020 and March 2021. A single serum was tested for total N-antibody (ELISA) by the state laboratory. Residents' demographics and clinical history were transcribed from the patient record. For staff, this information was solicited directly from employees, supplemented by prior PCR/antigen results from facilities. 62% of 332 residents and 46% of 661 staff tested N-antibody positive. In a multivariable logistic regression in residents, odds ratios for older age and admission prior before March 1, 2020 were significant. Among the staff, odds ratios for older age, ethnic-racial group, nursing-related job, and COVID-19 symptoms were significantly associated with N-antibody positivity. In a sub-analysis in five better record-keeping LTCFs, 90% of residents and 85% of staff with positive PCR/antigen results were seropositive for N-antibody, yet 25% of residents and 22% of staff were N-antibody positive but PCR/antigen and symptoms negative. The high rate of clinically unsuspected infections likely contributed to the spread. These findings argue for robust surveillance, regular screening of asymptomatic individuals, and vaccinating both residents and staff to abate the pandemic. The data also provide guidance to prevent future outbreaks.

Burnout and intent to leave during COVID-19: A cross-sectional study of New Jersey hospital nurses.

AIM: The aim of this work is to examine staffing, personal protective equipment (PPE) adequacy and physical exhaustion that contributed to burnout and intent to leave among hospital nurses during the first peak of the COVID-19 pandemic. BACKGROUND: Burnout is associated with adverse nurse and patient outcomes. Identifying the magnitude of burnout that occurred during the pandemic can prepare managers for the long-term mental health effects on nurses. METHODS: A cross-sectional, electronic survey was administered to examine perceptions of burnout and intent to leave among all New Jersey hospital nurses from October 6 to October 26, 2020. RESULTS: A total of 3030 nurses responded with 64.3% reporting burnout and 36.5% reporting intent to leave the hospital within a year. There was a significant association between high levels of burnout and intent to leave (χ2  = 329.4; p = .001). There was no association between staffing and burnout; however, reporting inadequate PPE (OR = 1.77 [95% CI: 1.34-2.34]) and physical exhaustion (OR = 3.89 [95% CI: 3.19-4.76]) remained predictors of burnout among nurses. CONCLUSION: Inadequate PPE and physical exhaustion coupled with short staffing contributed to burnout and intent to leave. IMPLICATIONS FOR NURSING MANAGEMENT: Managers should continue to utilize evidence-based mental health interventions and advocate within their nursing professional organizations for relief funds to reduce burnout.

Frontline Reporting from the Epicenter of a Global Pandemic: A Survey of the Impact of COVID-19 on Plastic Surgery Training in New York and New Jersey.

BACKGROUND: Since the first documented case of coronavirus disease of 2019 (COVID-19), the greater New York City area quickly became the epicenter of the global pandemic, with over 500,000 cases and 50,000 deaths. This unprecedented crisis affected all aspects of health care, including plastic surgery residency training. The purpose of this study was to understand the specific impact of the COVID-19 pandemic on plastic surgery residencies. METHODS: A survey of all plastic surgery residency training programs in the greater New York City area was conducted. The impact to training during the peak months of infection (March and April of 2020) was evaluated using resident education as measured by case numbers, need for redeployment, and staff wellness as primary outcome variables. RESULTS: A total of 11 programs were identified in the region, and seven programs completed the survey, with a response rate 63.6 percent. When comparing productivity in March and April of 2019 to March and April of 2020, a total decrease in surgical volume of 64.8 percent (range, 19.7 to 84.8 percent) and an average of 940 (range, 50 to 1287) cancelled clinic visits per month were observed. These decreases directly correlated with the local county's COVID-19 incidence rates (p = 0.70). A total of 83 percent of programs required redeployment to areas of need, and correlation between local incidence of COVID-19 and the percentage of residents redeployed to non-plastic surgical clinical environments by a given program (ρ = 0.97) was observed. CONCLUSION: As the first COVID-19 wave passes the greater New York area and spreads to the rest of the country, the authors hope their experience will shed light on the effects of the ongoing COVID-19 pandemic, and inform other programs on what to expect and how they can try and prepare for future public health crises.

Prevalence and Correlates of SARS CoV-2 Among a Community-Based Sample Recruited Using Randomized Venue-Based Sampling. Essex County, NJ, 2020.

Disparities in morbidity and mortality related to COVID-19 based on race and ethnicity have been documented in the USA. However, it is unclear if these disparities also exist at the exposure stage. To determine this, studies are needed to document the underlying burden of disease, potential disparities through serologic surveillance. Additionally, such studies can help identify where along the disease spectrum (e.g., exposure, infection, diagnosis, treatment, death) and with regard to the structural factors that necessitate public health and/or clinical interventions. Our objectives in this study were to estimate the true burden of SARS CoV-2 in the community of Essex County, NJ, an early and hard hit area, to determine the correlates of SARS CoV-2 prevalence and to determine if COVID-19 disparities seen by race/ethnicity were also reflected in SARS CoV-2 burden. We utilized venue-based-sampling (VBS) to sample members of the community in Essex County. Participants completed a short electronic survey and provided finger stick blood samples for testing. We sampled 924 residents of Essex County, New Jersey. Testing conducted in this study identified 83 (9.0%) participants as positive for SARS-CoV-2 antibodies. Importantly, our findings suggest that the true burden of SARS-Cov-2 and the pool of persons potentially spreading the virus are slightly more than six times than that suggested by PCR testing Notably, there were no significant differences in odds of testing positive for SARS CoV-2 antibodies in terms of race/ethnicity where we compared Black and Latinx participants to other race participants. Our study suggests that disparities in COVID-19 outcomes stem from potential upstream issues such as underlying conditions, access to testing, and access to care rather than disparities in exposure to the virus.

Creating a pronation therapy team: One hospital's journey.

ABSTRACT: Prone positioning is a recommended therapy for patients with COVID-19 who develop acute respiratory distress syndrome. This article describes the creation, operation, and evolution of the pronation therapy team at the author's Veterans Affairs facility.

Calculating the impact of COVID-19 pandemic on child abuse and neglect in the U.S.

BACKGROUND: COVID-19 has had a major impact on child abuse and neglect (CAN) in the U.S. leading to a change in the number of reported screened-in CAN investigations, missed prevention cases, and missed CAN cases. OBJECTIVES: To estimate the deficit number of CAN investigations and resultant estimated number of missed prevention and CAN cases due to the COVID-19 pandemic in the U.S. from March 2020 to December 2020. METHODS: Secondary data analyses of administrative child welfare data from January 2013 to December 2020 from New York City, Florida, New Jersey and Wisconsin were conducted. Spline regression modeling controlling for autocorrelation was utilized to explore any significant changes once the pandemic began in March 2020 in the number of screened-in CAN investigations. The seven-year monthly average of screen-in CAN investigations for March through December from 2013 to 2019 was calculated and compared to the numbers of CAN investigations for March 2020 to December 2020. The resultant number of missed prevention cases and CAN cases was estimated for the four jurisdictions and used to approximate the number of missed prevention cases and CAN cases in the U.S., as well as the projected estimation of national lifetime economic costs. RESULTS: Prior to the pandemic, there were insignificant monthly increases of 0.7 CAN investigations in NYC and 6.2 CAN investigations in Florida, a significant monthly increase 4.2 CAN investigations in New Jersey and an insignificant monthly decrease in 0.6 CAN investigations in Wisconsin. Once the pandemic began, there were significant monthly decreases (p < .001) in each of the four jurisdictions, including 1425.6 fewer CAN investigations in NYC, 3548.0 fewer CAN investigations in Florida, 963.0 fewer CAN investigations in New Jersey and 529.1 fewer CAN investigations in Wisconsin. There were an estimated 60,791 fewer CAN investigations in these four jurisdictions from March 2020 to December 2020 of which there were approximately 18,540 missed prevention and CAN cases suggesting up to $4.2 billion in lifetime economic costs. It was estimated that were 623,137 children not investigated for CAN in the U.S. during the same 10-month period. This suggests that there were an estimated 85,993 children were missed for prevention services and about 104,040 children were missed for CAN with a potential lifetime economic impact of up to $48.1 billion in the U.S. CONCLUSIONS: The COVID-19 pandemic has led to a precipitous drop in CAN investigations where almost 200,000 children are estimated to have been missed for prevention services and CAN in a 10-month period. There are opportunities for the child welfare jurisdictions to work with partner education, public health, social service and other providers to strategically approach this very grave issue in order to mitigate its impact on this very vulnerable population.

COVID-19 infection data encode a dynamic reproduction number in response to policy decisions with secondary wave implications.

The SARS-CoV-2 virus is responsible for the novel coronavirus disease 2019 (COVID-19), which has spread to populations throughout the continental United States. Most state and local governments have adopted some level of "social distancing" policy, but infections have continued to spread despite these efforts. Absent a vaccine, authorities have few other tools by which to mitigate further spread of the virus. This begs the question of how effective social policy really is at reducing new infections that, left alone, could potentially overwhelm the existing hospitalization capacity of many states. We developed a mathematical model that captures correlations between some state-level "social distancing" policies and infection kinetics for all U.S. states, and use it to illustrate the link between social policy decisions, disease dynamics, and an effective reproduction number that changes over time, for case studies of Massachusetts, New Jersey, and Washington states. In general, our findings indicate that the potential for second waves of infection, which result after reopening states without an increase to immunity, can be mitigated by a return of social distancing policies as soon as possible after the waves are detected.

Incidence of COVID-19 After Nonelective Hip and Knee Surgery During the Peak of the Pandemic: The New Jersey Experience.

In an attempt to preserve essential equipment and health care system capacity and slow the spread of coronavirus disease 2019 (COVID-19) infection, Governor Murphy suspended all elective surgeries performed in New Jersey from March 27, 2020, through May 25, 2020. The objective of this study was to determine the incidence of postoperative COVID-19 infection following nonelective hip and knee surgery during the peak of the COVID-19 pandemic in New Jersey during this time. A retrospective cohort of 149 patients who underwent nonelective hip and knee surgery from March 27, 2020, through May 25, 2020, at 2 institutions was identified. The cohort was divided into hip fracture and non-fracture patients to compare the postoperative experience of these patient populations. The primary outcome was the incidence of postoperative COVID-19 infection diagnosed via severe acute respiratory syndrome coronavirus 2 nasopharyngeal real-time reverse transcription polymerase chain reaction. Secondary outcomes included length of stay, discharge disposition, postoperative complications, and mortality rate. A total of 149 patients underwent nonelective hip and knee surgeries, including 76 hip fracture cases and 73 nonelective hip and knee arthroplasty cases. A postoperative diagnosis of COVID-19 was made for 5 (6.6%) of 76 hip fracture patients, and 2 of the 5 died secondary to COVID-19. There were no infections in the arthroplasty cohort. This study describes a low incidence of COVID-19 infection after nonelective hip and knee surgery during the surge of the COVID-19 pandemic in New Jersey. Patients who underwent hip fracture surgery had an increased incidence of postoperative COVID-19 infection. [Orthopedics. 2021;44(3):180-186.].

Public parks and the pandemic: How park usage has been affected by COVID-19 policies.

Public parks serve an important societal function as recreational spaces for diverse communities of people, with well documented physical and mental health benefits. As such, parks may be crucial for how people have handled effects of the COVID-19 pandemic, particularly the increasingly limited recreational opportunities, widespread financial uncertainty, and consequent heightened anxiety. Despite the documented benefits of parks, however, many states have instituted park shutdown orders due to fears that public parks could facilitate SARS-CoV-2 transmission. Here we use geotagged social media data from state, county, and local parks throughout New Jersey to examine whether park visitation increased when the COVID-19 pandemic began and whether park shutdown orders were effective at deterring park usage. We compare park usage during four discrete stages of spring 2020: (1) before the pandemic began, (2) during the beginning of the pandemic, (3) during the New Jersey governor's state-wide park shutdown order, and (4) following the lifting of the shutdown. We find that park visitation increased by 63.4% with the onset of the pandemic. The subsequent park shutdown order caused visitation in closed parks to decline by 76.1% while parks that remained open continued to experience elevated visitation levels. Visitation then returned to elevated pre-shutdown levels when closed parks were allowed to reopen. Altogether, our results indicate that parks continue to provide crucial services to society, particularly in stressful times when opportunities for recreation are limited. Furthermore, our results suggest that policies targeting human behavior can be effective and are largely reversible. As such, we should continue to invest in public parks and to explore the role of parks in managing public health and psychological well-being.

A novel diagnostic test to screen SARS-CoV-2 variants containing E484K and N501Y mutations.

Spike protein mutations E484K and N501Y carried by SARS-CoV-2 variants have been associated with concerning changes of the virus, including resistance to neutralizing antibodies and increased transmissibility. While the concerning variants are fast spreading in various geographical areas, identification and monitoring of these variants are lagging far behind, due in large part to the slow speed and insufficient capacity of viral sequencing. In response to the unmet need for a fast and efficient screening tool, we developed a single-tube duplex molecular assay for rapid and simultaneous identification of E484K and N501Y mutations from nasopharyngeal swab (NS) samples within 2.5 h from sample preparation to report. Using this tool, we screened a total of 1135 clinical NS samples collected from COVID patients at 8 hospitals within the Hackensack Meridian Health network in New Jersey between late December 2020 and March 2021. Our data revealed dramatic increases in the frequencies of both E484K and N501Y over time, underscoring the need for continuous epidemiological monitoring.

The Nursing Professional Development Practitioner During a Pandemic: Achieving the Hat Trick.

The nursing professional development practitioner's call to action at a large, acute care academic facility during the novel coronavirus pandemic required adaptability and resiliency. When rapid, unprecedented challenges altered nursing professional development workflow, a department of 16 practitioners split into three teams. The teams achieved goals by meeting the demand for education and training of frontline staff during the surge in novel coronavirus patients.

Field Notes From the Frontline of a COVID-19 Outbreak: Dyspnea Management for Hospitalized Patients at End-of-Life.

Northern New Jersey was inside one of the worst initial coronavirus disease 2019 pandemic epicenters in the United States. At the peak of the pandemic surge in mid-April 2020, New Jersey saw 8045 hospitalized patients with severe coronavirus disease 2019 symptoms, of which 2002 were in intensive care unit beds (86.3% of statewide capacity), including 1705 requiring mechanical ventilation. Because of the severity of pulmonary dysfunction/hypoxia, the unprecedented numbers of critically ill patients, the national opioid shortage, and transmission prevention measures for standard palliative care treatment protocols in place for refractory and/or end-of-life dyspnea were found to be ineffective in providing adequate symptom relief. The aim of the following Notes From the Field is to provide concise, pragmatic, and experiential reflection by 3 palliative care advanced practice nurses from 3 different hospital systems within the pandemic epicenter. The novel methods and opioid strategies implemented by their respective palliative care teams to ensure continued effective and appropriate treatment for end-of-life dyspnea are described. These accounts include Lessons Learned in order to assist others who may need to quickly implement changes in the future due to pandemic resurgence or second-wave events.

The Poison Center as a pandemic response: establishment and characteristics of a COVID-19 hotline through the New Jersey Poison Center.

BACKGROUND: Poison Centers are uniquely positioned to respond to an unprecedented public health threat such as the COVID-19 pandemic, as fully operational 24-h hotlines already staffed with healthcare professionals. METHODS: On January 27, 2020 the New Jersey Poison Information and Education System (NJPIES) agreed to operate the New Jersey Coronavirus Hotline. Call patterns, subject matter, and staffing and infrastructure strategies that were implemented to meet the demand are described. In addition, a sample of 1500 individual calls were collected and analyzed in an endeavor to describe call times, call days, area from which the call originated, callers to the hotline, primary language of the caller, and why a call was placed to the hotline. Binomial regression analysis was utilized in an attempt to identify significant patterns. RESULTS: Since the inception of the hotline through October 31, NJPIES responded to 57,579 calls for COVID-19 information. Most calls (68.7%) were regarding testing for COVID-19 and for general questions/symptoms. Call types varied when they were analyzed by time of day with calls for general questions/symptoms and where to get tested for COVID-19 showing a significant association for the early morning hours, how to obtain test results being significantly associated with the afternoon hours, and how to renew or obtain a medical license showing a significant association to the evening hours. We additionally noted that specific call types became significant when analyzed on a week-to-week basis and as specific events, like the enactment of the CARES Act of 2020, occurred. CONCLUSION: Although not the traditional role of a regional Poison Control Center, pandemic response synergizes with the workflow of this hotline because the infrastructure, staffing, and healthcare expertise are already present. Poison centers can rapidly adapt through scaling and process change to meet the needs of the public during times of public health threats.

The impact of the COVID-19 pandemic on the mental health and daily life of adults with behavioral health disorders.

People with behavioral health disorders may be particularly vulnerable to the impact of the COVID-19 pandemic, yet little is known about how they are faring. A mixed-methods, anonymous needs assessment was conducted to understand changes in the lives of adults with mental health and substance use disorders since the pandemic onset. A cross-sectional, online survey was completed by 272 adults in April and May 2020, recruited from statewide networks of community programs in New Jersey and New York. Measures included the Patient Health Questionnaire-2 and the Generalized Anxiety Disorder-2 to screen for depressive and anxiety disorders. Also assessed was the pandemic's impact on sleep and dietary patterns, exposure to COVID-19 infection, and access to health care and medications. Finally, respondents were asked to describe in their own words any changes in their lives since the pandemic began. Over one-third (35.1%) screened positive for generalized anxiety disorder and over one-quarter (29.6%) screened positive for major depressive disorder. The majority reported pandemic-related changes in eating and sleeping patterns and exposure to COVID-19 infection. Multivariable logistic regression analysis found that many changes attributed to the pandemic were positively and significantly associated with screening positive for anxiety and depressive disorders. Qualitative analysis confirmed these findings and identified participants' resilience stemming from social support, emotion management, and self-care. These results can inform the design of services that assist this population to bolster self-management skills and reestablish daily habits to improve their lives during and following the pandemic.