Risk factors for infection with influenza A(H3N2) virus on a US university campus, October-November 2021.

BACKGROUND: Knowledge of the specific dynamics of influenza introduction and spread in university settings is limited. METHODS: Persons with acute respiratory illness symptoms received influenza testing by molecular assay during October 6-November 23, 2022. Viral sequencing and phylogenetic analysis were conducted on nasal swab samples from case-patients. Case-control analysis of a voluntary survey of persons tested was used to identify factors associated with influenza; logistic regression was conducted to calculate odds ratios and 95% CIs. A subset of case-patients tested during the first month of the outbreak was interviewed to identify sources of introduction and early spread. RESULTS: Among 3268 persons tested, 788 (24.1%) tested positive for influenza; 744 (22.8%) were included in the survey analysis. All 380 sequenced specimens were influenza A (H3N2) virus clade 3C.2a1b.2a.2, suggesting rapid transmission. Influenza (OR [95% CI]) was associated with indoor congregate dining (1.43 [1.002-2.03]), attending large gatherings indoors (1.83 [1.26-2.66]) or outdoors (2.33 [1.64-3.31]), and varied by residence type (apartment with ≥1 roommate: 2.93 [1.21-7.11], residence hall room alone: 4.18 [1.31-13.31], or with roommate: 6.09 [2.46-15.06], or fraternity/sorority house: 15.13 [4.30-53.21], all compared with single-dwelling apartment). Odds of influenza were lower among persons who left campus for ≥1 day during the week before their influenza test (0.49 [0.32-0.75]). Almost all early cases reported attending large events. CONCLUSIONS: Congregate living and activity settings on university campuses can lead to rapid spread of influenza following introduction. Isolating following a positive influenza test or administering antiviral medications to exposed persons may help mitigate outbreaks.

The Implementation of CDC COVID-19 Recommendations for Testing, Isolation, Quarantine and Movement at Emergency Intake Sites of Unaccompanied Children in the United States, April 1-May 31, 2021.

In March 2021, Emergency Intake Sites (EIS) were created to address capacity shortfalls during a surge of Unaccompanied Children at the Mexico-United States land border. The COVID-19 Zone Plan (ZP) was developed to decrease COVID-19 transmission. COVID-19 cumulative percent (%) positivity was analyzed to evaluate the impact of the ZP, venue type and bed capacity across EIS from April 1-May 31, 2021. Results: Of 11 EIS sites analyzed, 54% implemented the recommended ZP. The overall % positivity was 2.47% (95% CI 2.39-2.55). The % positivity at EIS with the ZP, 1.83% (95% CI 1.71-1.95), was lower than that at EIS without the ZP, 2.83%, ( 95% CI 2.72-2.93), and showed a lower 7-day moving average of % positivity. Conclusion: Results showed a possible effect of the ZP on % positivity when controlling for venue type and bed capacity in a specific EIS group comparison, indicating that all three variables could have had effect on % positivity. They also showed that smaller intake facilities may be recommendable during public health emergencies.

Assessing the effectiveness of portable HEPA air cleaners for reducing particulate matter exposure in King County, Washington homeless shelters: Implications for community congregate settings.

Over four thousand portable air cleaners (PACs) with high-efficiency particulate air (HEPA) filters were distributed by Public Health - Seattle & King County to homeless shelters during the COVID-19 pandemic. This study aimed to evaluate the real-world effectiveness of these HEPA PACs in reducing indoor particles and understand the factors that affect their use in homeless shelters. Four rooms across three homeless shelters with varying geographic locations and operating conditions were enrolled in this study. At each shelter, multiple PACs were deployed based on the room volume and PAC's clean air delivery rate rating. The energy consumption of these PACs was measured using energy data loggers at 1-min intervals to allow tracking of their use and fan speed for three two-week sampling rounds, separated by single-week gaps, between February and April 2022. Total optical particle number concentration (OPNC) was measured at 2-min intervals at multiple indoor locations and an outdoor ambient location. The empirical indoor and outdoor total OPNC were compared for each site. Additionally, linear mixed-effects regression models (LMERs) were used to assess the relationship between PAC use time and indoor/outdoor total OPNC ratios (I/OOPNC). Based on the LMER models, a 10 % increase in the hourly, daily, and total time PACs were used significantly reduced I/OOPNC by 0.034 [95 % CI: 0.028, 0.040; p < 0.001], 0.051 [95 % CI: 0.020, 0.078; p < 0.001], and 0.252 [95 % CI: 0.150, 0.328; p < 0.001], respectively, indicating that keeping PACs on resulted in significantly lower I/OOPNC. The survey suggested that keeping PACs on and running was the main challenge when operating them in shelters. These findings suggested that HEPA PACs were an effective short-term strategy to reduce indoor particle levels in community congregate living settings during non-wildfire seasons and the need for formulating practical guidance for using them in such an environment.

Long-term support referrals to enhance food security and well-being in older adults: Texas physicians and nurses on what works.

Aim: Senior participation in the congregate meal programs (CMPs) has alarmingly declined over the past decade in Texas as elsewhere in the nation. The purpose of this survey study was to identify the possible reasons for this decline from the viewpoint of the Texas physicians and nurses who are key in coordinating care and ensuring food security for the vulnerable older Texans by referring them to community-based long-term support services (LTSS). Subject and methods: The methodology adopted was an online panel survey of physicians and nurses from rural and urban Texas counties. Structured multiple-choice and open-ended questions primarily focused on provider referral processes, reasons for connecting older clients to CMPs, perceptions about various aspects of these programs, possible reasons for the decline in participation, suggestions to make the programs an integral part of the community-based LTSS referral system, and how to address the COVID-19 pandemic constraints on the programs. Results: As a majority of the healthcare providers surveyed were unaware of the CMPs in their communities, the study spotlighted an urgent need for a better-coordinated referral process centered on strategic marketing and awareness-building about the CMPs, including an extensive healthcare provider education component as well as an overall improvement in meal quality and variety. Conclusion: The study highlights a need for additional research so decision-makers better understand how to best disseminate information to healthcare providers to improve the referral mechanisms, increase the referrals, and enhance the overall CMP program quality to benefit the vulnerable food-insecure older adults.

COVID-19 Cases Among Congregate Care Facility Staff by Neighborhood of Residence and Social and Structural Determinants: Observational Study.

BACKGROUND: Disproportionate risks of COVID-19 in congregate care facilities including long-term care homes, retirement homes, and shelters both affect and are affected by SARS-CoV-2 infections among facility staff. In cities across Canada, there has been a consistent trend of geographic clustering of COVID-19 cases. However, there is limited information on how COVID-19 among facility staff reflects urban neighborhood disparities, particularly when stratified by the social and structural determinants of community-level transmission. OBJECTIVE: This study aimed to compare the concentration of cumulative cases by geography and social and structural determinants across 3 mutually exclusive subgroups in the Greater Toronto Area (population: 7.1 million): community, facility staff, and health care workers (HCWs) in other settings. METHODS: We conducted a retrospective, observational study using surveillance data on laboratory-confirmed COVID-19 cases (January 23 to December 13, 2020; prior to vaccination rollout). We derived neighborhood-level social and structural determinants from census data and generated Lorenz curves, Gini coefficients, and the Hoover index to visualize and quantify inequalities in cases. RESULTS: The hardest-hit neighborhoods (comprising 20% of the population) accounted for 53.87% (44,937/83,419) of community cases, 48.59% (2356/4849) of facility staff cases, and 42.34% (1669/3942) of other HCW cases. Compared with other HCWs, cases among facility staff reflected the distribution of community cases more closely. Cases among facility staff reflected greater social and structural inequalities (larger Gini coefficients) than those of other HCWs across all determinants. Facility staff cases were also more likely than community cases to be concentrated in lower-income neighborhoods (Gini 0.24, 95% CI 0.15-0.38 vs 0.14, 95% CI 0.08-0.21) with a higher household density (Gini 0.23, 95% CI 0.17-0.29 vs 0.17, 95% CI 0.12-0.22) and with a greater proportion working in other essential services (Gini 0.29, 95% CI 0.21-0.40 vs 0.22, 95% CI 0.17-0.28). CONCLUSIONS: COVID-19 cases among facility staff largely reflect neighborhood-level heterogeneity and disparities, even more so than cases among other HCWs. The findings signal the importance of interventions prioritized and tailored to the home geographies of facility staff in addition to workplace measures, including prioritization and reach of vaccination at home (neighborhood level) and at work.

Using Geocoding to Identify COVID-19 Outbreaks in Congregate Residential Settings: San Francisco's Outbreak Response in Single-Room Occupancy Hotels.

More than 500 single-room occupancy hotels (SROs), a type of low-cost congregate housing with shared bathrooms and kitchens, are available in San Francisco. SRO residents include essential workers, people with disabilities, and multigenerational immigrant families. In March 2020, with increasing concerns about the potential for rapid transmission of COVID-19 among a population with disproportionate rates of comorbidity, poor access to care, and inability to self-isolate, the San Francisco Department of Public Health formed an SRO outbreak response team to identify and contain COVID-19 clusters in this congregate residential setting. Using address-matching geocoding, the team conducted active surveillance to identify new cases and outbreaks of COVID-19 at SROs. An outbreak was defined as 3 separate households in the SRO with a positive test result for COVID-19. From March 2020 through February 2021, the SRO outbreak response team conducted on-site mass testing of all residents at 52 SROs with outbreaks identified through geocoding. The rate of positive COVID-19 tests was significantly higher at SROs with outbreaks than at SROs without outbreaks (12.7% vs 6.4%; P < .001). From March through May 2020, the rate of COVID-19 cases among SRO residents was higher than among residents of other settings (ie, non-SRO residents), before decreasing and remaining at an equal level to non-SRO residents during later periods of 2020. The annual case fatality rate for SRO residents and non-SRO residents was similar (1.8% vs 1.5%). This approach identified outbreaks in a setting at high risk of COVID-19 and facilitated rapid deployment of resources. The geocoding surveillance approach could be used for other diseases and in any setting for which a list of addresses is available.

Risk factors for SARS-CoV-2 transmission in student residences: a case-ascertained study.

BACKGROUND: We aimed to investigate the overall secondary attack rates (SAR) of COVID-19 in student residences and to identify risk factors for higher transmission. METHODS: We retrospectively analysed the SAR in living units of student residences which were screened in Leuven (Belgium) following the detection of a COVID-19 case. Students were followed up in the framework of a routine testing and tracing follow-up system. We considered residence outbreaks followed up between October 30th 2020 and May 25th 2021. We used generalized estimating equations (GEE) to evaluate the impact of delay to follow-up, shared kitchen or sanitary facilities, the presence of a known external infection source and the recent occurrence of a social gathering. We used a generalized linear mixed model (GLMM) for validation. RESULTS: We included 165 student residences, representing 200 residence units (N screened residents = 2324). Secondary transmission occurred in 68 units which corresponded to 176 secondary cases. The overall observed SAR was 8.2%. In the GEE model, shared sanitary facilities (p = 0.04) and the recent occurrence of a social gathering (p = 0.003) were associated with a significant increase in SAR in a living unit, which was estimated at 3% (95%CI 1.5-5.2) in the absence of any risk factor and 13% (95%CI 11.4-15.8) in the presence of both. The GLMM confirmed these findings. CONCLUSIONS: Shared sanitary facilities and the occurrence of social gatherings increase the risk of COVID-19 transmission and should be considered when screening and implementing preventive measures.

Examining the development and utilization of infection control policies to safely support adults with intellectual and developmental disabilities in congregate living settings during COVID-19.

OBJECTIVE: Congregate living settings supporting individuals with intellectual and developmental disabilities (IDD) have experienced unprecedented challenges during the COVID-19 pandemic. This study aimed to explore the development and utilization of infection control policies in congregate living settings supporting individuals with IDD during the COVID-19 pandemic. METHODS: This qualitative study employed an interpretive description using semi-structured interviews involving administrative personnel from agencies assisting those with IDD residing in Developmental Services congregate living settings in Ontario, Canada. RESULTS: Twenty-two semi-structured interviews were conducted with individuals from 22 agencies. Thematic analysis revealed three categories: Development of infection control policies, Implementation of infection control policies, and Impact of infection control policies. Each category yielded subsequent themes. Themes from the Development of infection control policies category included New responsibilities and interpreting the grey areas, and Feeling disconnected and forgotten. Four themes within the Implementation of infection control policies category included, "It's their home" (i.e. difficulty balancing public health guidance and organizational values), Finding equipment and resources (e.g. supports and barriers), Information overload (i.e. challenges agencies faced when implementing policies), and Emerging vaccination (i.e. perspective of agencies as they navigate vaccination for clients and staff). The category of Impact of infection control policies had one theme-Fatigue and burnout, capturing the impact of policies on stakeholders in congregate living settings. CONCLUSION: Agencies experienced difficulties developing and implementing infection control policies, impacting the clients they serve and their families and staff. Public health guidance should be tailored to each congregate living setting rather than generally applied.

RéSUMé: OBJECTIF: Les lieux d'hébergement collectif pour les personnes ayant une déficience intellectuelle ou de développement (DID) ont affronté des défis sans précédent durant la pandémie de la COVID-19. La présente étude vise à explorer l'élaboration et l'utilisation des politiques de prévention des infections dans les lieux d'hébergement collectif pour les personnes ayant une DID durant la pandémie de la COVID-19. MéTHODES: Cette étude qualitative repose sur la description interprétative lors d'entrevues semi-structurées auprès du personnel administratif des organismes qui viennent en aide aux personnes ayant une DID et résidant dans des lieux d'hébergement collectif en Ontario, au Canada. RéSULTATS: Au total, 22 entrevues semi-structurées ont été effectuées auprès de personnes provenant de 22 organismes. L'analyse thématique a révélé trois catégories : Élaboration des politiques de prévention des infections, mise en œuvre des politiques de prévention des infections, et impacts des politiques de prévention des infections. Chaque catégorie a généré des thèmes subséquents. Les thèmes liés à l'élaboration des politiques de prévention des infections comprenaient les nouvelles responsabilités et l'interprétation des zones grises, et le sentiment de détachement et d'avoir été oublié. Quatre thèmes découlant de la mise en œuvre des politiques de prévention des infections comprenaient « c'est leur maison ¼ (c'est-à-dire difficulté d'équilibrer les mesures de santé publique et les valeurs organisationnelles), trouver de l'équipement et des ressources (p. ex., mesures de soutien et obstacles), surcharge d'information (c'est-à-dire les défis qu'ont dû affronter les organismes lors de la mise en œuvre des politiques) et la vaccination émergente (notamment la perspective des organismes lorsqu'ils ont dû composer avec le processus de vaccination pour la clientèle et le personnel). La catégorie des impacts des politiques de prévention des infections avait un thème : la fatigue et l'épuisement professionnel, saisissant les impacts des politiques de prévention des infections dans les lieux d'hébergement collectif sur ses intervenants. CONCLUSION: Les organismes ont éprouvé des difficultés lors de l'élaboration et la mise en œuvre de politiques de prévention des infections, touchant ainsi leurs clients, leurs familles et leurs employés. Les mesures de santé publique devraient plutôt être adaptées à chaque lieu d'hébergement collectif, et non pas appliquées de façon générale.

The Clinical and Genomic Epidemiology of Rhinovirus in Homeless Shelters-King County, Washington.

BACKGROUND: Rhinovirus (RV) is a common cause of respiratory illness in all people, including those experiencing homelessness. RV epidemiology in homeless shelters is unknown. METHODS: We analyzed data from a cross-sectional homeless shelter study in King County, Washington, October 2019-May 2021. Shelter residents or guardians aged ≥3 months reporting acute respiratory illness completed questionnaires and submitted nasal swabs. After 1 April 2020, enrollment expanded to residents and staff regardless of symptoms. Samples were tested by multiplex RT-PCR for respiratory viruses. A subset of RV-positive samples was sequenced. RESULTS: There were 1066 RV-positive samples with RV present every month of the study period. RV was the most common virus before and during the coronavirus disease 2019 (COVID-19) pandemic (43% and 77% of virus-positive samples, respectively). Participants from family shelters had the highest prevalence of RV. Among 131 sequenced samples, 33 RV serotypes were identified with each serotype detected for ≤4 months. CONCLUSIONS: RV infections persisted through community mitigation measures and were most prevalent in shelters housing families. Sequencing showed a diversity of circulating RV serotypes, each detected over short periods of time. Community-based surveillance in congregate settings is important to characterize respiratory viral infections during and after the COVID-19 pandemic. CLINICAL TRIALS REGISTRATION: NCT04141917.

Engaging nursing students in a COVID-19 Point-of-Care rapid screening clinic.

BACKGROUND: The COVID-19 pandemic has globally impacted nursing education, particularly clinical learning opportunities for undergraduate nursing students. PURPOSE: In this paper, we report on an educational activity wherein students participated in a COVID-19 Rapid Antigen Testing (RAT) clinic on a Canadian university campus. METHODS: Between February-April 2021, in the second term of a five-term accelerated program, nursing students (n = 60) participated in a nurse-led COVID-19 RAT clinic for students and staff living or working in congregate housing. Students participated in education activities which exposed nursing students to the full range of community health nursing roles in a pandemic. RESULTS: From clinical, research, policy, and public health, this educational activity acted as a microcosm of the critical roles that nurses employ in the health ecosystem. CONCLUSION: We offer lessons learned about implementing this activity, and how these lessons can be applied to routine and exceptional nursing curriculum.

Prehospital Testing and Surveillance for SARS-CoV-2: A Special Report from the Sacramento (California USA) Mobile Integrated Health Unit.

INTRODUCTION: Coronavirus disease 2019 (COVID-19), caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), has killed nearly 800,000 Americans since early 2020. The disease has disproportionately affected older Americans, men, persons of color, and those living in congregate living facilities. Sacramento County (California USA) has used a novel Mobile Integrated Health Unit (MIH) to test hundreds of patients who dwell in congregate living facilities, including skilled nursing facilities (SNF), residential care facilities (ie, assisted living facilities [ALF] and board and care facilities [BCF]), and inpatient psychiatric facilities (PSY), for SARS-CoV-2. METHODS: The MIH was authorized and rapidly created at the beginning of the COVID-19 pandemic as a joint venture between the Sacramento County Department of Public Health (SCDPH) and several fire-based Emergency Medical Services (EMS) agencies within the county to perform SARS-CoV-2 testing and surveillance in a prehospital setting at a number of congregate living facilities. All adult patients (≥18 years) who were tested for SARS-CoV-2 infection by the MIH from March 31, 2020 through April 30, 2020 and lived in congregate living facilities were included in this retrospective descriptive cohort. Demographic and laboratory data were collected to describe the cohort of patients tested by the MIH. RESULTS: During the study period, the MIH tested a total of 323 patients from 15 facilities in Sacramento County. The median age of patients tested was 66 years and the majority were female (72%). Overall, 72 patients (22%) tested positive for SARS-CoV-2 in congregate living settings, a higher rate of positivity than was measured across the county during the same time period. CONCLUSION: The MIH was a novel method of epidemic surveillance that succeeded in delivering effective and efficient testing to patients who reside in congregate living facilities and was able to accurately identify pockets of infection within otherwise low prevalence areas. Cooperative prehospital models are an effective model to deliver out-of-hospital testing and disease surveillance that may serve as a blueprint for community-based care delivery for a number of disease states and future epidemics or pandemics.

DOCUMENTING THE TIMING AND KEY FACTORS IN POST-VACCINATION SARS-COV-2 HUMORAL ANTIBODY DEVELOPMENT

B Introduction: b The study purpose was to observe the relative timing of humoral (IgM, IgG) antibody (Ab) development following SARS-CoV2 mRNA vaccination and identify associated factors. B Conclusions: b Age and immunomodulating conditions/therapies impact the timing and degree of Ab production following mRNA vaccination. [Extracted from the article] Copyright of Critical Care Medicine is the property of Lippincott Williams & Wilkins and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

LONG-TERM FUNCTIONAL AND SOCIAL OUTCOMES FOLLOWING INTENSIVE CARE FOR SEVERE COVID-19

Although a substantive minority (16%) of patients newly required a caregiver, and roughly 40% of those previously employed had not yet returned to work, patients reported outcomes similar to the general public on most domains. B Introduction/Hypothesis: b Long-term functional outcomes, living situation, and return to work following intensive care for severe COVID-19 have not been adequately characterized. [Extracted from the article] Copyright of Critical Care Medicine is the property of Lippincott Williams & Wilkins and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Transmission Dynamics of Large Coronavirus Disease Outbreak in Homeless Shelter, Chicago, Illinois, USA, 2020.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has the potential for rapid transmission in congregate settings. We describe the multidisciplinary response to an outbreak of coronavirus disease (COVID-19) in a large homeless shelter in Chicago, Illinois, USA. The response to the outbreak included 4 rounds of mass PCR testing of all staff and residents and subsequent isolation of persons who tested positive for SARS-CoV-2. We further describe the dynamics of the shelter outbreak by fitting a modified susceptible-exposed-infectious-recovered compartmental model incorporating the widespread SARS-CoV-2 testing and isolation measures implemented in this shelter. Our model demonstrates that rapid transmission of COVID-19 in the shelter occurred before the outbreak was detected; rates of transmission declined after widespread testing and isolation measures were put in place. Overall, we demonstrate the feasibility of mass PCR testing and isolation in congregate settings and suggest the necessity of prompt response to suspected COVID-19 outbreaks in homeless shelters.

Factors Influencing Elevated Mortality Rates of Patients with Schizophrenia Hospitalized with COVID.

Work completed since the pandemic began has repeatedly demonstrated elevated mortality rates in people with schizophrenia hospitalized with COVID. They are a vulnerable group due to multiple issues-for example high co-morbidity rates of medical illness, often impaired insight and judgment, barriers to obtaining health care, and trouble understanding and implementing preventive measures. The objective of this study was to evaluate if a diagnosis of schizophrenia in the context of COVID-19 requiring hospitalization increased the risk for people with a diagnosis of schizophrenia to be intubated, admitted to the ICU or die when compared to people hospitalized with COVID-19 who did not have schizophrenia. This was accomplished by doing a retrospective chart review of 123 people with schizophrenia and matched controls. Although we found elevated rates of these outcomes in the patients with schizophrenia, our analysis attributed these differences to congregate living, rather than the illness itself.

COVID-19 reinfection in a patient with a serious mental illness within a long-term inpatient psychiatric care hospital.

There is an increasing number of case reports of COVID-19 reinfection. The mechanism of reinfection is poorly understood and evolving. Prevention of the transmission of severe acute respiratory syndrome coronavirus 2 for those with a serious mental illness (SMI) living in a congregate setting presents unique challenges. In this case report, we describe an individual with an SMI in a long-term inpatient psychiatric care hospital who was initially diagnosed in June 2020 with COVID-19 infection via a polymerase chain reaction test. Approximately 6 months later, the patient presented with a COVID-19 reinfection and more severe COVID-like symptoms.

Efficacy of the Measures Adopted to Prevent COVID-19 Outbreaks in an Italian Correctional Facility for Inmates Affected by Chronic Diseases.

Background: COVID-19 outbreaks in prisons and jails may affect both inmates and correctional workers. An observational study has been performed to investigate the efficacy of specific procedures and of a serial testing approach adopted for the COVID-19 prevention in an Italian correctional facility (Bari, Apulia) for inmates affected by chronic diseases. Methods: Two SARS-CoV-2 antigen testing campaigns were carried out for all the prisoners and correctional workers, including correctional officers (CO), administrative staff (AS), correctional health care workers (HCW), and operators working with people completing their sentence outside the prison (OOP). Antigen testing was conducted on nasopharyngeal swab specimens, using a fluorescence immunoassay for the qualitative detection of nucleocapsid SARS-CoV-2 antigen. All subjects positive to the antigen test underwent confirmation by rRT-PCR test. Results: In total, 426 new and residential inmates were tested during the first campaign and 480 during the second campaign. Only two new inmates resulted positive at the first campaign, while no positive cases were observed at the second campaign or outside of the testing campaigns. In total, 367 correctional workers were tested at the first campaign and 325 at the second. At the first, 4 CO and 2 HCW showed positive test results, while no new positive cases were observed at the second. Moreover, 1 CO and 1 HCW resulted positive outside of the testing campaigns for the onset of symptoms while at home. Conclusion: The implementation of a full risk management plan in a correctional facility, including both a strict protocol for the application of preventive measures and a serial testing approach, seems to be able to prevent COVID-19 outbreaks in both inmates and correctional workers.

The Impact of Community Housing Characteristics and Epidemic Prevention Measures on Residents' Perception of Epidemic Prevention.

Since the outbreak of COVID-19, many parts of the world have fallen into deep recession. Governments in every country have adopted various measures to restrict social gatherings due to the need to control the pandemic. This includes restrictions on activities in homes and communities. Fundamentally, epidemic prevention relies on the measures individuals take. A community's epidemic prevention measures become more critical as activities are held in houses or communities once again. From the perspective of the theory of planned behavior, this study investigates whether the various epidemic prevention measures and characteristics of a community affect residents' perception of epidemic prevention. We use the truncated regression model as the primary research method. The empirical results show that the community's epidemic prevention measures can change residents' awareness of the importance of epidemic prevention. Moreover, the scale of the community and management committee are also found to have a partial impact.

Development of Wastewater Pooled Surveillance of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) from Congregate Living Settings.

Wastewater-based monitoring for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) at the individual building level could be an efficient, passive means of early detection of new cases in congregate living settings, but this approach has not been validated. Preliminary samples were collected from a hospital and a local municipal wastewater treatment plant. Molecular diagnostic methods were compared side by side to assess feasibility, performance, and sensitivity. Refined sample collection and processing protocols were then used to monitor two occupied dormitory complexes (n = 105 and 66) over 8 weeks. Wastewater results were validated using known case counts from external clinical testing of building occupants. Results confirm that ultracentrifugation from a 24-h composite collection had a sensitivity of 96.2% and a specificity of 100%. However, the method could not distinguish new infectious cases from persistent convalescent shedding of SARS-CoV-2 RNA. If the detection of convalescent shedding is considered a false positive, then the sensitivity is 100% and specificity drops to 45%. It was determined that the proposed approach constitutes a highly sensitive wastewater surveillance method for detecting SARS-CoV-2, but it could not distinguish new infectious cases from persistent convalescent shedding. Future work must focus on approaches to distinguish new infections from convalescent shedding to fully realize the potential of building wastewater as a surveillance tool for congregate living. IMPORTANCE Some of the most severe outbreaks of COVID-19 have taken place in places where persons live together, such as nursing homes. Wastewater testing from individual buildings could be used for frequent pooled surveillance of virus from all occupants, including those who are contagious, with or without symptoms. This work provides a sensitive practical method for detecting infected individuals, as validated in two building complexes housing occupants who underwent frequent clinical testing performed by external entities. Although this sensitive method could be deployed now for pooled surveillance as an early warning system to limit outbreaks, the study shows that the approach will require further refinement to differentiate contagious, newly infected individuals from persons who have persistent viral fragments shedding in their stool outside the contagious period.

Optimal uses of pooled testing for COVID-19 incorporating imperfect test performance and pool dilution effect: An application to congregate settings in Los Angeles County.

INTRODUCTION: Pooled testing is a potentially efficient alternative strategy for COVID-19 testing in congregate settings. We evaluated the utility and cost-savings of pooled testing based on imperfect test performance and potential dilution effect due to pooling and created a practical calculator for online use. METHODS: We developed a 2-stage pooled testing model accounting for dilution. The model was applied to hypothetical scenarios of 100 specimens collected during a one-week time-horizon cycle for varying levels of COVID-19 prevalence and test sensitivity and specificity, and to 338 skilled nursing facilities (SNFs) in Los Angeles County (Los Angeles) (data collected and analyzed in 2020). RESULTS: Optimal pool sizes ranged from 1 to 12 in instances where there is a least one case in the batch of specimens. 40% of Los Angeles SNFs had more than one case triggering a response-testing strategy. The median number (minimum; maximum) of tests performed per facility were 56 (14; 356) for a pool size of 4, 64 (13; 429) for a pool size of 10, and 52 (11; 352) for an optimal pool size strategy among response-testing facilities. The median costs of tests in response-testing facilities were $8250 ($1100; $46,100), $6000 ($1340; $37,700), $6820 ($1260; $43,540), and $5960 ($1100; $37,380) when adopting individual testing, a pooled testing strategy using pool sizes of 4, 10, and optimal pool size, respectively. CONCLUSIONS: Pooled testing is an efficient strategy for congregate settings with a low prevalence of COVID-19. Dilution as a result of pooling can lead to erroneous false-negative results.