A two-variant model of SARS-COV-2 transmission: estimating the characteristics of a newly emerging strain.

BACKGROUND: The Covid-19 pandemic has been characterized by the emergence of novel SARS-CoV-2 variants, each with distinct properties influencing transmission dynamics, immune escape, and virulence, which, in turn, influence their impact on local populations. Swift analysis of the properties of newly emerged variants is essential in the initial days and weeks to enhance readiness and facilitate the scaling of clinical and public health system responses. METHODS: This paper introduces a two-variant metapopulation compartmental model of disease transmission to simulate the dynamics of disease transmission during a period of transition to a newly dominant strain. Leveraging novel S-gene dropout analysis data and genomic sequencing data, combined with confirmed Covid-19 case data, we estimate the epidemiological characteristics of the Omicron variant, which replaced the Delta variant in late 2021 in Philadelphia, PA. We utilized a grid-search method to identify plausible combinations of model parameters, followed by an ensemble adjustment Kalman filter for parameter inference. RESULTS: The model successfully estimated key epidemiological parameters; we estimated the ascertainment rate of 0.22 (95% credible interval 0.15-0.29) and transmission rate of 5.0 (95% CI 2.4-6.6) for the Omicron variant. CONCLUSIONS: The study demonstrates the potential for this model-inference framework to provide real-time insights during the emergence of novel variants, aiding in timely public health responses.

Using cluster analysis to explore COVID-19 vaccine booster hesitancy by levels of medical mistrust in fully vaccinated US adults.

BACKGROUND: Underlying causes of vaccine hesitancy could significantly affect successful uptake of the SARS-CoV2 vaccine booster doses during new waves of COVID-19. Booster rates among US adults are far below what is needed for immunity, but little is known about booster hesitancy among fully vaccinated adults and whether medical mistrust exacerbates barriers to uptake. METHODS: A cross-sectional survey was completed among 119 adults in Philadelphia, PA who reported having received the primary SARS-CoV2 vaccine series but not a booster dose. Using the LaVeist Medical Mistrust (MM) Index, a k-means cluster analysis showed two clusters (Low MM, High MM) and differences in attitudes and perceptions about COVID-19 booster vaccines were assessed using F-tests. RESULTS: Respondents were 62% Black and female; mean age was 41; 46% reported earning less than $25,000 and 53% had a high school education or less. Overall intention to get boosted was low (mean 3.3 on 0-10 scale). Differences in COVID-19 booster perceptions between those with High (n = 56) vs. Low (n = 59) MM were found, independent of any demographic differences. Most statements (7/10) related to reasons to not be boosted were significant, with those with High MM indicating more concern about feeling sick from the vaccine (F=-3.91, p≤ .001), beliefs that boosters are ineffective for vaccinated people (F= -3.46, p≤ .001), and long-term side effect worries (F=-4.34, p≤ .001). Those with High MM were also more concerned about the adverse effects of the vaccine (F=-2.48, p=.02), but were more likely to trust getting information from doctors or healthcare providers (F= -2.25, p=.03). CONCLUSIONS: Results indicate that medical mistrust is an important independent construct when understanding current COVID-19 booster hesitancy. While much work has looked at demographic differences to explain vaccine hesitancy, these results suggest that further research into understanding and addressing medical mistrust could be important for implementing interventions to increase booster rates.

Addressing the Health Needs of Indian Americans in the Greater Philadelphia Region Through a Scoping Survey: Cancer Screening Assessment.

Despite higher income and education, there are profound health disparities among Asian Americans. These disparities are highlighted in particular by screening behaviors for cancer. Between 1998 and 2008, cancer rates increased threefold among Indian Americans, raising concern that cancer screening in this group may be especially low. To better understand cancer screening behavior, we collected data from a total of 157 self-identifying Indian Americans residing in the greater Philadelphia area. Nearly all participants reported having health insurance (98.7%), and most had received a physical exam within a year (87.3%). Only17.4% of the participants were referred for mammography, while 30% of participants over age 30 were referred for ovarian cancer screening. Just 4 participants were recommended for pancreatic cancer screening. The findings contribute new information to the understanding of health needs of Indian Americans residing in the greater Philadelphia region and reveal a need for greater focus on preventive care.

Integrating youth participatory action research and health communication to inform youth and young adult covid-19 vaccine communication research.

COVID-19 vaccination rates remain lower among adolescents compared with adults. Youth participatory action research (YPAR) offers opportunities to inform youth vaccine communication at the local and population level. However, few studies have integrated systematic health communication research with YPAR. In the current study, a diverse team of paid high school interns, undergraduate student mentors and communication researchers in West Philadelphia YPAR programs developed a theory-informed communication survey to measure teen COVID-19 vaccine beliefs, information sources and behavior. The survey was distributed locally and informed youth-created vaccine campaign messages. In addition, YPAR-derived survey measures complimented a qualitative online elicitation survey with US young adults. Responses were coded using inductive content analysis, informing measures for a subsequent population-level study of young adults. This research followed protocols approved by an Institutional Review Board. Applying a YPAR framework elevated youth voices in the study development process. Communication theory and methods aided the development of survey studies to advance both local YPAR program objectives and population-level research. Future implications are discussed.

Using wiki surveys to rapidly test messages promoting COVID-19 vaccination boosters and child vaccination among Philadelphia residents.

Formative research is an important component of health communication campaign development. Rapid message testing approaches are useful for testing new messaging quickly and efficiently during public health emergencies, such as COVID-19, when guidance and recommendations are rapidly changing. Wiki surveys simultaneously collect quantitative message testing data and qualitative feedback on potential social media campaign messages. Philly CEAL used wiki surveys to test messages about COVID-19 vaccinations for dissemination on social media. A cross-sectional survey of Philadelphia residents (N = 199) was conducted between January and March 2023. Wiki surveys were used to assess the perceived effectiveness of messages promoting the updated COVID-19 booster and child vaccination. In each wiki survey, participants were presented with two messages and asked to select the one that they perceived as most effective. Participants could alternatively select "can't decide" or submit their own message. A score estimating the probability of selection was calculated for each message. Participant-generated messages were routinely reviewed and incorporated into the message pool. Participants cast a total of 32,281 votes on messages seeded by the research team (n = 20) and participants (n = 43). The highest scoring messages were those that were generated by participants and spoke to getting your child vaccinated to protect them against serious illness and getting the booster to protect your health and that of your community. These messages were incorporated into social media posts disseminated by Philly CEAL's social media accounts. Wiki surveys are a feasible and efficient method of rapid message testing for social media campaigns.

The Impact of the COVID-19 Pandemic on Staffing Levels in Philadelphia Nursing Homes: Disparities Based on the Racial Composition of Geographical Areas.

Research to assess and inform health policy is an essential component of the policymaking process to advance equity in public health practice. This study investigated health disparities during the COVID-19 pandemic (2020-2022) in older adult institutional settings in Philadelphia, PA, to inform policy initiatives, interventions, and infrastructure development. We first explored the changing patterns of nursing staffing levels (total direct care staff and registered nurses [RNs]) measured by hours per resident per day (HPRD) before and after COVID-19. Our findings revealed that HPRD levels consistently fell below the Centers for Medicare and Medicaid Services recommended standards from 2018 to 2022, with notable declines observed starting from 2021. Results from multilevel modeling showed significant declines in HPRD for total direct care nursing staff in nursing homes located in zip codes with a high proportion of Black residents (≥40%). In contrast, HPRD for RNs significantly declined in nursing homes located in zip codes with a lower proportion of Black residents (<40%). Moreover, higher reported direct care HPRD and RN HPRD were associated with any reported COVID-19 cases only within zip codes with a low proportion of Black residents. These findings indicate the need for additional policies to address these observed patterns in staffing levels. Our study provides a foundation for future policy reviews utilizing a conceptual framework that is health equity-centric for local and state health departments program and units intended for institutional care settings for older adults.

The New Partnership: Technology Adoption, Development, Deployment, and Diffusion.

Children's Hospital of Philadelphia (CHOP) is a preeminent leader in pediatric healthcare delivery, research, and education. CHOP has three inpatient locations, 31 primary care centers, 16 ambulatory centers, and four dedicated research buildings. CHOP's health system provides care for children from around the world and close to home in West Philadelphia and Southern New Jersey. Technology innovation has been a key element to the hospital's success during the last 165 years.

Comparing mapped park and greenspace boundaries in Philadelphia: implications for exposure assessment in health studies.

An important consideration in studies of the relationship between greenspace exposure and health is the use of mapped data to assign geographic exposures to participants. Previous studies have used validated data from municipal park departments to describe the boundaries of public greenspaces. However, this approach assumes that these data accurately describe park boundaries, that formal parks fully capture the park and greenspace exposure of residents, and (for studies that use personal GPS traces to assign participant exposures) that time spent within these boundaries represents time spent in greenspace. These assumptions are tested using a comparison and ground-truthing of four sources of mapped park and greenspace data in Philadelphia, Pennsylvania: PAD-US-AR, Philadelphia Parks and Recreation, the Delaware Valley Regional Planning Commission, and Open Street Maps. We find several important differences and tradeoffs in these data: the incorporation of highways and building lots within park boundaries, the inclusion or exclusion of formal park spaces (federal, state, and nonprofit), the exclusion of informal parks and greenspaces, and inconsistent boundaries for a linear park. Health researchers may wish to consider these issues when conducting studies using boundary data to assign park exposure.

Efficacy of an mHealth-delivered behavioral intervention on weight loss and cardiometabolic risk in African American postpartum people with overweight or obesity: the SnapBack randomized controlled trial.

OBJECTIVE: The objective of this study was to evaluate the efficacy of a mobile health (mHealth)-delivered behavioral intervention on changes in postpartum weight and cardiometabolic risk factors (blood pressure [BP], lipids, and hemoglobin A1c) over 12 months. METHODS: A randomized controlled trial of 300 African American postpartum people with overweight and obesity enrolled in Philadelphia Women, Infants, and Children (WIC) clinics was conducted. Participants were randomized to usual WIC care (n = 151) or a 12-month mHealth-delivered intervention (n = 149) comprising behavior change goals, interactive self-monitoring text messages, and counseling support. RESULTS: Intervention and usual-care participants did not significantly differ in 12-month mean postpartum weight change (1.1 vs. 1.6 kg, p = 0.5; difference -0.6 kg, 95% CI: -2.3 to 1.2). However, high intervention engagement led to weight loss compared with weight gain among those who were less engaged (-0.6 vs. 2.4 kg, p = 0.01; difference -3.0 kg, 95% CI: -5.4 to -0.6). The intervention reduced systolic BP relative to usual care (-1.6 vs. 2.4 mm Hg, p = 0.02; difference -4.0 mm Hg, 95% CI: -7.5 to -0.5), but this effect did not extend to other cardiometabolic risk factors. CONCLUSIONS: Among African American postpartum people enrolled in WIC, an mHealth-delivered intervention reduced systolic BP but not additional cardiometabolic risk factors or weight. Intervention participants with high engagement had significantly better postpartum weight outcomes, and thus, next steps include addressing barriers to engagement.

Area Deprivation and Disease Severity in Adult Patients With Discoid Lupus Erythematosus.

Importance: The association of area deprivation with outcomes in discoid lupus erythematosus (DLE) remains poorly understood. Objective: To determine the association between US Census block measures of deprivation and disease severity in adult patients with DLE. Design, Setting, and Participants: This cross-sectional study included 154 patients with DLE seen between January 1, 2007, and January 1, 2024, at a single-center referral-based specialty rheumatologic-dermatology clinic in Philadelphia, Pennsylvania. Patients were aged 18 to 73 years and were enrolled in the University of Pennsylvania's Cutaneous Lupus Erythematosus Database study. Data were analyzed between January 1, 2024, and May 8, 2024. Exposures: Residence in a highly disadvantaged area as geocoded by a state area deprivation index (ADI). Main Outcomes and Measures: The main outcome was DLE disease severity as codified by the validated Cutaneous Lupus Erythematosus Disease Area and Severity Index (CLASI) damage and activity scores. Results: A total of 154 adult patients with DLE (128 women [83%] and 26 men [17%]; mean [SD] age, 43 [13] years; 6 [4%] Asian individuals, 98 [64%] Black individuals, 2 [1%] Hispanic individuals, 46 [30%] White individuals, and 2 individuals [1%] with other race or ethnicity; 78 [51%] with an ADI >5; 43 who currently smoked [28%];and 56 [36%] with concurrent systemic lupus erythematosus) were included in the analysis. By multivariable logistic regression, residence within communities with an ADI greater than 5 was associated with nearly 4-fold greater odds of moderate to severe damage (odds ratio [OR], 3.90; 95% CI, 1.27-12.69] and activity (OR, 3.31; 95% CI, 1.27-9.44). Concurrent cigarette smoking was similarly associated with greater odds of moderate to severe damage (OR, 3.15; 95% CI, 1.09-10.29). After controlling for ADI and other confounders, race was not significantly associated with DLE disease severity. Conclusions and Relevance: The results of this cross-sectional study suggest that geospatial disadvantage is associated with DLE disease severity independent of race. This invites a paradigm shift that considers the social context within which racial disparities are observed, highlighting the potential for geographically targeted interventions and policy changes to improve patient outcomes in DLE.

Creation and implementation of a REDCap database demonstrates engagement and impact for a hospital-based center for nursing research and evidence-based practice.

Demonstrating impact is essential for hospital-based centers for pediatric nursing research and evidence-based practice. To meet this aim, the Center for Pediatric Nursing Research & Evidence-Based Practice at Children's Hospital of Philadelphia created a Research Electronic Data Capture (REDCap) database as a project engagement tracker to (1) capture all requests for consultation, and (2) summarize the Center's multi-professional consultants' engagement in diverse projects across our large pediatric health system. We implemented our REDCap project engagement tracker six years ago and continue to utilize it as a living database. Customized reports allow us to effectively manage our daily operations and communicate our reach and value to stakeholders internal and external to our organization. With REDCap's flexibility and ease of use, this project engagement tracker can be easily shared with like organizations. And with strong partnerships, we hope to see the development of common metrics to communicate the impact of centers of nursing inquiry on a national scale.

Factors associated with the COVID-19 booster vaccine intentions of young adults in the United States.

Young adults experience high coronavirus disease 2019 (COVID-19) incidence yet have the lowest vaccination and booster rates among adults. Understanding the factors influencing their intentions regarding boosters is essential for crafting effective public health strategies. We examined the psychosocial factors (attitudes, norms, perceived behavioral control) associated with their intentions to receive a COVID-19 booster. This cross-sectional study included 292 young adults aged 18-25 residing in Philadelphia who completed an online survey from September 2021 and February 2022 (mean age 21.98, standard deviation 2.25; 51% racial/ethnic minorities). The survey included measures of attitudes, norms, and perceived behavioral control related to COVID-19 vaccination. We employed structural equation modeling analysis to examine the intention of young adults to receive the COVID-19 booster and their vaccine-related attitudes, norms, and perceived behavioral control. Covariates included race/ethnicity and gender. Subjective norms were significantly associated with the intention to receive a COVID-19 booster (standardized ß̂ = 0.685, p = .018). Attitudes and perceived behavioral control showed no significant association with intention. Subgroup analyses based on race/ethnicity revealed that attitudes (standardized ß̂ = 0.488, p = .004) and subjective norms (standardized ß̂ = 0.451, p = .050) were predictors among young adults from racial and ethnic minority backgrounds, while only subjective norms (standardized ß̂ = 1.104, p = .002) were significant for non-Hispanic White young adults. Public health efforts should prioritize engaging healthcare providers and peer groups in order to influence subjective norms and promote collective responsibility and acceptance for vaccination. Tailored interventions and diverse communication strategies targeting specific subgroups of young adults may be useful to ensure comprehensive and effective vaccination initiatives.

Challenging Pennsylvania's Firearm Preemption Law as a Public Health Danger: The Case of Philadelphia.

Firearm violence has soared in American cities, but most states statutorily preempt municipal firearm regulation. This article describes a unique collaboration in Philadelphia among elected officials, public health researchers, and attorneys that has led to litigation based on original quantitative analyses and grounded in innovative constitutional theories and statutory interpretation.

Psychosocial Risks and Adolescent Mental Health: The Moderating Role of Objective Neighborhood Characteristics.

PURPOSE: Although previous studies have examined the association between youth psychosocial risks and their perceptions of their neighborhood, it is unclear how objective neighborhood characteristics are associated with psychosocial risks and mental health symptoms among adolescents. We investigated how neighborhood characteristics moderate the relationship between youth psychosocial characteristics and mental health symptoms. METHODS: This cross-sectional study examined 13,837 emergency department visits by 14-18-year-olds who completed a standardized Behavioral Health Screening in a tertiary pediatric hospital in Philadelphia from 2013 to 2020. Psychosocial risk factors and mental health symptoms were assessed based on self-reported survey responses. We characterized neighborhoods as low-, moderate-, and high-stress based on gun violence incidence from 2013 to 2020 and the census tract-level Child Opportunity Index. Mixed effects logistic regression and Poisson models were used to examine moderation effects. RESULTS: The 9,814 included patients were 64% female and 64% non-Hispanic Black. The following psychosocial risk factors were associated with two to eight times higher odds of depressive symptoms and suicide risk: exposure to trauma, bullying at school, at-risk substance use, fighting, and retaliation. Adolescents living in high-stress neighborhoods were twice as likely to report fighting and retaliation and reported more psychosocial risk factors than those in low-stress neighborhoods. Odds of mental health symptoms increased with the number of psychosocial risk factors, particularly in youth from low-stress neighborhoods. DISCUSSION: Objective neighborhood characteristics had a significant interaction effect on the relationship between psychosocial risks and depression and suicide risk among adolescents seeking care in a pediatric emergency department.

Long-Term POTS Outcomes Survey: Diagnosis, Therapy, and Clinical Outcomes.

BACKGROUND: Limited data exist on long-term outcomes in individuals with postural orthostatic tachycardia syndrome (POTS). We designed an electronic questionnaire assessing various aspects of outcomes among patients diagnosed and treated in a single-center pediatric POTS clinical program. METHODS AND RESULTS: The LT-POTS (Long Term POTS Outcomes Survey) included questions about quality of life, symptoms, therapies, education, employment, and social impact of disease. Patients age≤18 years at POTS diagnosis who were managed in the Children's Hospital of Philadelphia POTS Program were included. A total of 227 patients with POTS responded with sufficient data for interpretation. The mean age of respondents was 21.8±3.5 years. The median age of symptom onset was 13 (interquartile range 11-14) years, with mean 9.6±3.4 years symptom duration. Multiple cardiovascular, neurologic, and gastrointestinal symptoms were reported. Symptom prevalence and severity were worse for female patients, with 99% of patients reporting ongoing symptoms. Quality of life showed moderate function and limitation, with more severe limitations in energy/fatigue and general health. Nearly three quarters of patients had diagnostic delays, and over half were told that their symptoms were "in their head." Multiple medications were used and were felt to be effective, whereas fewer nonpharmacologic interventions demonstrated efficacy. Nearly 90% of patients required continued nonpharmacologic therapy to control symptoms. CONCLUSIONS: POTS is a chronic disorder leading to significant disability with a range of multisystem problems. Although symptoms can be modifiable, it rarely spontaneously resolves. Improved understanding of POTS presentation and therapeutic approaches may inform provider education, improve diagnostic success, and help patients self-advocate for appropriate medical management approaches.

The relationship between trust in federal oversight of vaccine safety and willingness to participate in COVID-19 clinical trials: a repeated measures study of Philadelphia residents (September 2021 - March 2023).

BACKGROUND: The Coronavirus Disease 2019 (COVID-19) pandemic precipitated an urgent need for clinical trials to discover safe and efficacious treatments. We examined how COVID-19 experiences, clinical trial awareness, and trust in the vaccine safety process were associated with willingness to participate in COVID-19 clinical trials. The objective was to investigate the relationship between trust in federal oversight of vaccine safety and willingness to participate in clinical trials for COVID-19 treatment across four distinct time points over an 18-month period during the COVID-19 pandemic. METHODS: We used four waves of data collected from September 2021 to March 2023 among 582 Philadelphia residents (with a missing data rate of 0.9%). Generalized estimating equations estimated the association between willingness to participate in COVID-19 clinical trials and participants' trust in the federal government's oversight of COVID-19 vaccine safety, COVID-19-related variables (COVID-19 related health challenges, history of COVID-19 infection), awareness of clinical trials and how to enroll in them, and sociodemographic characteristics (age, race/ethnicity, sexual orientation, gender, parental status, education, and insurance). RESULTS: On average, willingness to participate in a COVID-19 clinical trial was positively associated with greater trust in the federal government's oversight of vaccine safety [ß = 0.34, 95% confidence interval (CI): 0.15-0.53], having COVID-19 (ß = 0.40, 95% CI: 0.08-0.73), awareness of clinical trials (ß = 0.38, 95% CI: 0.04-0.73), and knowledge of how to enroll (ß = 0.83, 95% CI: 0.44-1.23). Among sociodemographic characteristics, race/ethnicity (p = 0.001) and gender (p = 0.018) were identified as predictors for COVID-19 trial willingness. CONCLUSION: Willingness to participate in clinical trials may be bolstered by strengthening the public's trust in the federal government's role within vaccine safety oversight, increasing the perceived relevance of clinical trials to individuals' health and well-being, and offering tailored information to educate diverse communities about ongoing trials and how to enroll in them.

Operation Allies Welcome Medical Response Unit at Philadelphia International Airport: A Framework for Medical Triage of High Volume of Displaced Persons Arriving by Air.

In the aftermath of the US withdrawal from Afghanistan, over 100,000 individuals were evacuated to the United States, primarily arriving through Philadelphia International Airport and Dulles International Airport under Operation Allies Welcome. In Philadelphia, evacuees were greeted at the airport by a medical triage unit (MTU) that was rapidly assembled to provide on-site medical care. The MTU triaged emergent medical complaints, handled minor complaints on-site to reduce impact on local health care systems, distributed patients who did require a higher level of care among area hospitals, and ensured appropriate follow-up care for individuals with ongoing needs. Although there are regional and federal entities whose purview is the establishment and coordination of such responses, these entities were not mobilized to respond immediately when planes began to arrive carrying the first wave of evacuees as this event was not a designated disaster. The MTU was a grassroots effort initiated by local health care providers in coordination with the local Medical Reserve Corps and Department of Public Health. This article presents a framework for similar operations, anticipating an ongoing need for planning for sudden arrivals of large numbers of displaced persons, particularly via air travel, in a time of increasing mass displacement events, as well as a rationale for establishing more robust networks of local medical professionals willing to respond in the case of an emergency and involving them in the emergency planning processes to ensure preexisting protocols are practical.

A Nursing Clinical Care Services Platform to Support Leadership Decision Making.

Like most organizations, The Children's Hospital of Philadelphia (CHOP) generates a lot of data of varying types, from clinical to staffing and operations. However, these datasets are separated, preventing effective analytics. To improve workforce management and care delivery, CHOP's Nursing department collaborated with the Data & Analytics team to create a dashboard-based platform for analyzing workforce metrics and patient outcomes, aiding nursing leaders in decision-making. This project involved multiple phases with contributions from Nursing, Data & Analytics, CHOP's Data Trust Office, and Human Resources. Key performance indicators were identified, and a variety of data sources were aggregated to provide a comprehensive view of the nursing enterprise. The resulting platform offers automated, current, and reliable analytics on various aspects, including nursing demographics, education, survey results, staffing actuals by job group, and patient and family experience data. The platform's usability was assessed using a modified Health Information Technology Usability Evaluation Scale survey, with a 29% response rate primarily from senior directors and managers. The findings showed high usability and satisfaction, indicating the dashboard is a valuable decision-support tool. Lessons learned include the need for analytics education for nurses and mid-managers, the inclusion of critical nursing-specific metrics (and development of the data pipelines making them possible), and the integration of multidisciplinary team metrics for comprehensive nursing analytics.

Identification of distinct genotypes in circulating RSV A strains based on variants in the virus replication-associated genes.

Respiratory syncytial virus (RSV) is a common cause of respiratory infection that often leads to hospitalization of infected younger children and older adults. RSV is classified into two strains, A and B, each with several subgroups or genotypes. One issue with the definition of these subgroups is the lack of a unified method of identification or genotyping. We propose that genotyping strategies based on the genes coding for replication-associated proteins could provide critical information on the replication capacity of the distinct subgroups, while clearly distinguishing genotypes. Here, we analyzed the virus replication-associated genes N, P, M2, and L from de novo assembled RSV A sequences obtained from 31 newly sequenced samples from hospitalized patients in Philadelphia and 78 additional publicly available sequences from different geographic locations within the United States. In-depth analysis and annotation of variants in the replication-associated proteins identified the polymerase protein L as a robust target for genotyping RSV subgroups. Importantly, our analysis revealed non-synonymous variations in L that were consistently accompanied by conserved changes in its co-factor P or the M2-2 protein, suggesting associations and interactions between specific domains of these proteins. Similar associations were seen among sequences of the related human metapneumovirus. These results highlight L as an alternative to other RSV genotyping targets and demonstrate the value of in-depth analyses and annotations of RSV sequences as it can serve as a foundation for subsequent in vitro and clinical studies on the efficiency of the polymerase and fitness of different virus isolates.IMPORTANCEGiven the historical heterogeneity of respiratory syncytial virus (RSV) and the disease it causes, there is a need to understand the properties of the circulating RSV strains each season. This information would benefit from an informative and consensus method of genotyping the virus. Here, we carried out a variant analysis that shows a pattern of specific variations among the replication-associated genes of RSV A across different seasons. Interestingly, these variation patterns, which were also seen in human metapneumovirus sequences, point to previously defined interactions of domains within these genes, suggesting co-variation in the replication-associated genes. Our results also suggest a genotyping strategy that can prove to be particularly important in understanding the genotype-phenotype correlation in the era of RSV vaccination, where selective pressure on the virus to evolve is anticipated. More importantly, the categorization of pneumoviruses based on these patterns may be of prognostic value.

Engaging Trusted Messengers to Increase COVID-19 Pediatric Vaccine Uptake in Philadelphia: Lessons from the VaxUpPhillyFamilies program.

INTRODUCTION: Communities of color had higher rates of Coronavirus (COVID-19) infection and lower rates of COVID-19 vaccination during the pandemic. Parental concern about the safety and necessity of pediatric COVID-19 vaccines contribute to low childhood vaccination. Enlisting parents and caregivers as trusted messengers is an evidence-based approach to mitigate this challenge. VaxUpPhillyFamilies was formed to engage parents and caregivers as vaccine ambassadors to increase vaccination rates in children of color. This study aimed to understand the key benefits, challenges, and lessons learned from the VaxUpPhillyFamilies program. METHODS: Three online debriefing sessions with ambassadors were conducted between September 7 and October 24, 2022, to share best practices, address challenges, receive emerging vaccine information, and provide support. Thematic analysis was utilized to develop broad themes and subthemes. RESULTS: Four themes with corresponding subthemes were identified: 1) Motivations to Become an Ambassador: a) improving the health of the community and b) personal satisfaction; 2) Defining Success: a) community interactions and b) influencing opinions; 3) Best Approaches: a) being mentally prepared with facts, b) addressing community health needs beyond COVID-19, c) demonstrating empathy, d) "meeting them where they're at" by motivational interviewing, and e) building trust and connection; 4) Challenges: a) changes in vaccine guidelines, b) vaccine misinformation, c) varied perceptions of severity of COVID-19 illness and benefits of the vaccine, d) breakdown of communication from trusted sources, and e) structural barriers to engagement. CONCLUSION: Parents and caregivers were a resource for delivering evidence-based messaging about COVID-19 and other health challenges. To effectively equip parents and caregivers as public health ambassadors, it is critical to offer training in engagement strategies, to identify and combat misinformation, and to provide support in navigating challenges. VaxUpPhillyFamilies program is a model for future public health campaigns.