During responses to outbreaks, the collection and analysis of data on employed case patients' industry and occupation are necessary to better understand the relationship between work and health outcomes. The occurrence of mpox by occupation and industry has not previously been assessed in the context of the 2022 outbreak. We analyzed employment data from 2548 mpox cases reported to the U.S. Centers for Disease Control and Prevention from surveillance systems in seven U.S. jurisdictions and population-based reference data on employment patterns from the U.S. Bureau of Labor Statistics to describe the differential proportionate distribution of cases across occupation and industry groups using the proportionate morbidity ratio. In gender-specific analyses, we found that men employed in certain occupations and industries had a higher relative risk of mpox than others. While occupational transmission cannot be ruled out, it is more likely that individuals with personal and behavioral risk factors for mpox were more likely to work in these occupations and industries. This analysis provides an example of collecting and analyzing occupation and industry data in case reports to understand possible differences in risk by occupation and industry in infectious disease outbreak investigation and help inform resource allocation, messaging, and response.

Background: The Centers for Disease Control and Prevention's Sickle Cell Data Collection (SCDC) program comprises multidisciplinary teams, which include community-based organizations. Partnering with community-based organizations (CBOs) is a novel approach to ensure that SCDC data are actionable.

Program evaluation is a critical tool for understanding and improving organizational activities and systems. This report updates the 1999 CDC Framework for Program Evaluation in Public Health (CDC. Framework for program evaluation in public health. MMWR Recomm Rep 1999;48[No. RR-11];1-40) by integrating major advancements in the fields of evaluation and public health, lessons learned from practical applications of the original framework, and current Federal agency policies and practices. A practical, nonprescriptive tool, the updated 2024 framework is designed to summarize and organize essential elements of program evaluation, and can be applied at any level from individual programs to broader systems by novices and experts for planning and implementing an evaluation. Although many of the key aspects from the 1999 framework remain, certain key differences exist. For example, this updated framework also includes six steps that describe the general process of evaluation planning and implementation, but some content and step names have changed (e.g., the first step has been renamed Assess context). The standards for high-quality evaluation remain central to the framework, although they have been updated to the five Federal evaluation standards. The most substantial change from the 1999 framework is the addition of three cross-cutting actions that are core tenets to incorporate within each evaluation step: engage collaboratively, advance equity, and learn from and use insights. The 2024 framework provides a guide for designing and conducting evaluation across many topics within and outside of public health that anyone involved in program evaluation efforts can use alone or in conjunction with other evaluation approaches, tools, or methods to build evidence, understand programs, and refine evidence-based decision-making to improve all program outcomes.

This study evaluated developmental, psychiatric, and neurologic conditions among older siblings of children with and without autism spectrum disorder (ASD) to understand the extent of familial clustering of these diagnoses. Using data from the Study to Explore Early Development, a large multi-site case-control study, the analyses included 2,963 children aged 2-5 years with ASD, other developmental disabilities (DD group), and a population-based control group (POP). Percentages of index children with older siblings with select developmental, psychiatric, and neurologic conditions were estimated and compared across index child study groups using chi-square tests and multivariable modified Poisson regression. In adjusted analyses, children in the ASD group were significantly more likely than children in the POP group to have one or more older siblings with ASD, developmental delay, attention-deficit/hyperactivity disorder, intellectual disability, sensory integration disorder (SID), speech/language delays, or a psychiatric diagnosis (adjusted prevalence ratio [aPR] range: 1.4-3.7). Children in the DD group were significantly more likely than children in the POP group to have an older sibling with most of the aforementioned conditions, except for intellectual disability and psychiatric diagnosis (aPR range: 1.4-2.2). Children in the ASD group were significantly more likely than children in the DD group to have one or more older siblings with ASD, developmental delay, SID, or a psychiatric diagnosis (aPR range: 1.4-1.9). These findings suggest that developmental disorders cluster in families. Increased monitoring and screening for ASD and other DDs may be warranted when an older sibling has a DD diagnosis or symptoms.

Black gay, bisexual, and other men who have sex with men (GBM) are disproportionately affected by HIV and STIs. Safe Spaces 4 Sexual Health (SS4SH), a community-informed, status-neutral HIV/STI testing intervention combines online outreach via geo-social networking apps and social media with mobile van testing. During 2018-2019, we recruited 25 participants for interviews about their perceptions of SS4SH compared to clinic-based testing. Participants were aged 21-65 years (mean 35); 22 (88%) identified as Black/African American; 20 (80%) identified as gay; and 10 (40%) were living with HIV. Interviews were transcribed, coded, and analyzed using a modified thematic constant comparative approach. Five themes emerged; two related to perceptions of online outreach materials (participants were drawn to eye-catching and to-the-point messages and desired more diversity and representation in messages), and three related to preference for the mobile van (participants found SS4SH provided more comfort, more privacy/confidentiality, and increased accessibility and efficiency). GBM is increasingly using geo-social networking apps to meet sexual partners, and tailored online outreach has the potential to reach historically underserved populations. SS4SH is a barrier-reducing strategy that may serve as an entry to a status-neutral approach to services and help reduce stigma and normalize accessing HIV services.

INTRODUCTION: Surveillance modernization efforts emphasize the potential use of electronic health record (EHR) data to inform public health surveillance and prevention. However, EHR data streams vary widely in their completeness, accuracy, and representativeness. METHODS: We developed a validation process for the Multi-State EHR-Based Network for Disease Surveillance (MENDS) pilot project to identify and resolve data quality issues that could affect chronic disease prevalence estimates. We examined MENDS validation processes from December 2020 through August 2023 across 5 data-contributing organizations and outlined steps to resolve data quality issues. RESULTS: We identified gaps in the EHR databases of data contributors and in the processes to extract, map, integrate, and analyze their EHR data. Examples of source-data problems included missing data on race and ethnicity and zip codes. Examples of data processing problems included duplicate or missing patient records, lower-than-expected volumes of data, use of multiple fields for a single data type, and implausible values. CONCLUSION: Validation protocols identified critical errors in both EHR source data and in the processes used to transform these data for analysis. Our experience highlights the value and importance of data validation to improve data quality and the accuracy of surveillance estimates that use EHR data. The validation process and lessons learned can be applied broadly to other EHR-based surveillance efforts.

INTRODUCTION: HPTN 083 demonstrated the superiority of long-acting cabotegravir (CAB-LA) versus daily oral emtricitabine/tenofovir disoproxil fumarate (TDF/FTC) as pre-exposure prophylaxis (PrEP) among cisgender men and transgender women who have sex with men (MSM/TGW). HPTN 083 provided the first opportunity to understand experiences with injectable PrEP in a clinical trial. METHODS: Participants from two US sites (Chicago, IL and Atlanta, GA) and one international site (Rio de Janeiro, Brazil) were purposively sampled for individual qualitative interviews (N = 40), between November 2019 and March 2020, to explore trial experiences, barriers to adherence and other factors that may have impacted study implementation or outcomes. The blinded phase ended early due to efficacy; this analysis includes interviews conducted prior to unblinding with three groups defined by adherence (i.e. injection visit attendance): adherent (n = 27), non-adherent (n = 12) and early discontinuers (n = 1). Data were organized using NVivo software and analysed using content analysis. RESULTS: Participants (mean age: 27) were primarily cisgender MSM (90%) and Black/African American (60%). Reasons for trial enrolment and PrEP use included a preference for using HIV prevention medication versus treatment in the event of HIV acquisition; the ability to enhance health via study-related education and services; access to a novel, convenient HIV prevention product at no cost; and contributing to MSM/TGW communities through research. Participants contrasted positive experiences with study staff with their routine clinical care, and emphasized increased scheduling flexibility, thorough communication, non-judgemental counselling and open, affirming environments (e.g. compassion, less stigma) as adherence facilitators. Injection experiences were positive overall; some described early injection-related anxiety, which abated with time and when given some measure of control (e.g. pre-injection countdown), and minimal injection site discomfort. Some concerns and misperceptions about injectable PrEP were reported. Barriers to adherence, across all adherence categories, included structural factors (e.g. financial constraints, travel) and competing demands (e.g. work schedules). CONCLUSIONS: Respondents viewed injectable PrEP trial participation as a positive experience and a means of enhancing wellbeing. Study site flexibility and affirming clinic environments, inclusive of non-judgemental counselling, were key facilitators of adherence. To support injection persistence, interventions that address structural barriers and promote flexible means of injection delivery may be most effective.

As public health laboratories expand their genomic sequencing and bioinformatics capacity for the surveillance of different pathogens, labs must carry out robust validation, training, and optimization of wet- and dry-lab procedures. Achieving these goals for algorithms, pipelines and instruments often requires that lower quality datasets be made available for analysis and comparison alongside those of higher quality. This range of data quality in reference sets can complicate the sharing of sub-optimal datasets that are vital for the community and for the reproducibility of assays. Sharing of useful, but sub-optimal datasets requires careful annotation and documentation of known issues to enable appropriate interpretation, avoid being mistaken for better quality information, and for these data (and their derivatives) to be easily identifiable in repositories. Unfortunately, there are currently no standardized attributes or mechanisms for tagging poor-quality datasets, or datasets generated for a specific purpose, to maximize their utility, searchability, accessibility and reuse. The Public Health Alliance for Genomic Epidemiology (PHA4GE) is an international community of scientists from public health, industry and academia focused on improving the reproducibility, interoperability, portability, and openness of public health bioinformatic software, skills, tools and data. To address the challenges of sharing lower quality datasets, PHA4GE has developed a set of standardized contextual data tags, namely fields and terms, that can be included in public repository submissions as a means of flagging pathogen sequence data with known quality issues, increasing their discoverability. The contextual data tags were developed through consultations with the community including input from the International Nucleotide Sequence Data Collaboration (INSDC), and have been standardized using ontologies - community-based resources for defining the tag properties and the relationships between them. The standardized tags are agnostic to the organism and the sequencing technique used and thus can be applied to data generated from any pathogen using an array of sequencing techniques. The tags can also be applied to synthetic (lab created) data. The list of standardized tags is maintained by PHA4GE and can be found at https://github.com/pha4ge/contextual_data_QC_tags. Definitions, ontology IDs, examples of use, as well as a JSON representation, are provided. The PHA4GE QC tags were tested, and are now implemented, by the FDA's GenomeTrakr laboratory network as part of its routine submission process for SARS-CoV-2 wastewater surveillance. We hope that these simple, standardized tags will help improve communication regarding quality control in public repositories, in addition to making datasets of variable quality more easily identifiable. Suggestions for additional tags can be submitted to PHA4GE via the New Term Request Form in the GitHub repository. By providing a mechanism for feedback and suggestions, we also expect that the tags will evolve with the needs of the community.

Suicide is a leading cause of death in the United States, particularly among adolescents. In recent years, suicidal ideation, attempts, and fatalities have increased. Systems maps can effectively represent complex issues such as suicide, thus providing decision-support tools for policymakers to identify and evaluate interventions. While network science has served to examine systems maps in fields such as obesity, there is limited research at the intersection of suicidology and network science. In this paper, we apply network science to a large causal map of adverse childhood experiences (ACEs) and suicide to address this gap. The National Center for Injury Prevention and Control (NCIPC) within the Centers for Disease Control and Prevention recently created a causal map that encapsulates ACEs and adolescent suicide in 361 concept nodes and 946 directed relationships. In this study, we examine this map and three similar models through three related questions: (Q1) how do existing network-based models of suicide differ in terms of node- and network-level characteristics? (Q2) Using the NCIPC model as a unifying framework, how do current suicide intervention strategies align with prevailing theories of suicide? (Q3) How can the use of network science on the NCIPC model guide suicide interventions? © The Author(s), 2024. Published by Cambridge University Press.

The use of data analytics has seen widespread application in fields such as medicine and supply chain management, but their application in occupational safety has only recently become more common. The purpose of this scoping review was to summarize studies that employed analytics within establishments to reveal insights about work-related injuries or fatalities. Over 300 articles were reviewed to survey the objectives, scope and methods used in this emerging field. We conclude that the promise of analytics for providing actionable insights to address occupational safety concerns is still in its infancy. Our review shows that most articles were focused on method development and validation, including studies that tested novel methods or compared the utility of multiple methods. Many of the studies cited various challenges in overcoming barriers caused by inadequate or inefficient technical infrastructures and unsupportive data cultures that threaten the accuracy and quality of insights revealed by the analytics.

The objectives of this study are (1) to separate fibrous grunerite (amosite) by its length using filtration and shaking techniques utilized in a previous study and (2) to create two distinct length groups (short and long) of the amosite with higher output in a cost-effective way. The shaking system included an electrodynamic exciter, a linear power amplifier, and an audio-frequency signal generator and was attached to a cowl sampler as a funnel loaded with a polycarbonate filter. A suspension of amosite was passed through the 10-μm pore size polycarbonate filter in the shaking system and was transferred to a filtration system through five different pore sizes of polycarbonate membrane filters in series from the top: 10-, 5-, 2-, 1-, and 0.2-μm pore sizes. Each polycarbonate filter was tightly clamped with two conductive 25-mm spacers with a 25-mm stainless steel support screen to prevent leakage. The amosite length and diameter were manually measured with images from a field emission scanning electron microscope (FESEM). A sequence of fields was selected at random locations, and an image of each field was acquired. The length and width of approximately 500 fibers for each sample were measured with ImageJ software. Two significantly different length groups (short and long) of amosite were collected (p <0.05). Approximately 95% of separated amosite (n = 499) using the filtration system were shorter than 5 μm (short fiber group), and approximately 80% of separated amosite (n = 503) using the shaking system were longer than 5 μm (long fiber group).

Pre-exposure prophylaxis (PrEP) is an effective tool in protecting persons from acquiring HIV infection through sex or injection drug use. However, awareness and willingness to use PrEP among Black gay, bisexual, and other men who have sex with men (BMSM) remain suboptimal compared to White MSM (WMSM) in the United States. Our aims were to (1) assess the factors associated with PrEP awareness and willingness to use PrEP among MSM and (2) compare the PrEP perceptions among BMSM versus non-Black MSM. Data were drawn from two cross-sectional behavioral surveys in Baltimore, MD: Behavioral Surveillance Research (BESURE) conducted in 2017, and Safe Spaces 4 Sexual Health (SS4SH), conducted in 2018 and 2019. Descriptive statistics were used to summarize the study population. We used Poisson regression models to identify variables associated with awareness of PrEP and willingness to use PrEP. PrEP perceptions were assessed via 13 items scored on a 5-point Likert scale. Finally, we conducted a post-hoc exploratory bivariate analysis of the relationship between PrEP perception and willingness to use PrEP, stratified by race/ethnicity. A total of 261 MSM participated in this study. Many of the participants were aware of PrEP (75.1%). Factors associated with greater PrEP awareness included having greater than a high school education (aRR 1.22, 95% CI 1.04, 1.43); and earning more than $25,000 annually (aRR 1.24, 95% CI 1.08, 1.42). Participants who had received money in exchange for sex one or more times were less likely to be aware of PrEP (aRR 0.59, 95% CI 0.36, 0.95). More than half of the participants were willing to use PrEP (55.3%). In bivariate and multivariable analyses, demographic or behavioral characteristics were not significantly associated with willingness to use PrEP. Higher agreement with the following statements was associated with lower willingness to use PrEP: "Having to take a pill every day is difficult" (RR 0.89, 95% CI 0.82-0.97) and, "I am concerned about the side effects of PrEP" (RR 0.89, 95% CI 0.82-0.96), and "PrEP is for people who have riskier sex lives than I do" (RR 0.86, 95% CI 0.78-0.95). Conversely, higher willingness to use PrEP was associated with comfortable having sex without a condom (RR 1.11, 95% CI 1.02-1.21), less anxious about sex (RR 1.12, 95% CI 1.02-1.24), and my friends think that I should take PrEP (RR 1.19, 95% CI 1.07-1.32). We found BMSM compared to non-Black MSM had higher mean scores related to taking a daily pill (p = 0.041), concerns about side effects (p = 0.012), concerns about people thinking they had HIV (p = 0.001), concerns about the financial costs of PrEP (p = 0.038) and caution when dealing with healthcare organizations/medical mistrust (p = 0.019). Perceptions with a statistically significant lower score among BMSM versus non-Black MSM included statements such as, comfortable having sex without a condom (p = 0.003) and less anxious about sex (p < 0.001). We conclude HIV prevention strategies, programs, and interventions should be cognizant of PrEP perceptions that facilitate or hinder PrEP uptake in Baltimore City, MD.

To assist community leaders in public health, mental health, education, and other fields with developing a community response plan for suicide clusters or for situations that might develop into suicide clusters, in 1988, CDC published Recommendations for a Community Plan for the Prevention and Containment of Suicide Clusters (MMWR Suppl 1988;37[No. Suppl 6]:1-12). Since that time, the reporting and investigation of suicide cluster events has increased, and more is known about cluster risk factors, assessment, and identification. This supplement updates and expands CDC guidance for assessing, investigating, and responding to suicide clusters based on current science and public health practice. This report is the first of three in the MMWR supplement that describes an overview of suicide clusters, information about the other reports in this supplement, methods used to develop the supplement guidance, and the intended use of the supplement reports. The second report, CDC Guidance for Community Assessment and Investigation of Suspected Suicide Clusters - United States 2024, describes the potential methods, data sources and analysis that communities can use to identify and confirm suspected suicide clusters, and better understand the relevant issues. The final report, CDC Guidance for Community Response to Suicide Clusters - United States, 2024, describes how local public health and community leaders can develop a response plan for suicide clusters. The guidance in this supplement is intended as a conceptual framework that can be used by public health practitioners and state and local health departments to develop response plans for assessing and investigating suspected clusters that are tailored to the needs, resources, and cultural characteristics of their communities.

This manuscript describes the process and impact of strengthening the WHO Regional Office for Africa (WHO AFRO)'s COVID-19 vaccination information system. This system plays a critical role in tracking vaccination coverage, guiding resource allocation and supporting vaccination campaign roll-out for countries in the African region. Recognising existing data management issues, including complex reporting prone to human error, compromised data quality and underutilisation of collected data, WHO AFRO introduced significant system improvements during the COVID-19 pandemic. These improvements include shifting from an Excel-based to an online Azure-based data collection system, automating data processing and validation, and expansion of collected data. These changes have led to improvements in data quality and quantity including a decrease in data non-validity, missingness, and record duplication, and expansion of data collection forms to include a greater number of data fields, offering a more comprehensive understanding of vaccination efforts. Finally, the creation of accessible information products-including an interactive public dashboard, a weekly data pack and a public monthly bulletin-has improved data use and reach to relevant partners. These resources provide crucial insights into the region's vaccination progress at national and subnational levels, thereby enabling data-driven decision-making to improve programme performance. Overall, the strengthening of the WHO AFRO COVID-19 vaccination information system can serve as a model for similar efforts in other WHO regions and contexts. The impact of system strengthening on data quality demonstrated here underscores the vital role of robust data collection, capacity building and management systems in achieving high-quality data on vaccine distribution and coverage. Continued investment in information systems is essential for effective and equitable public health efforts.

Manual data entry is time-consuming, inefficient, and error prone. In contrast, leveraging two-dimensional (2D) barcodes and barcode scanning tools is a rapid, efficient, and effective practice for automatically entering data accurately and completely during vaccine inventorying and administration. CDC pilots in a variety of healthcare settings documented the clinical and public health impact of 2D barcode scanning practices on data quality and completeness, time savings, workflow efficiencies, and staff experience. A sample of 50 million emergency use authorization (EUA) COVID-19 vaccine records were analyzed for accuracy and completeness across three data fields: lot number, expiration date, and National Drug Code (NDC). These vaccines did not include a 2D barcode containing these data fields, thus necessitating manual entry of vaccine data at administration. During a CDC pilot with clinic sites, comparison was made between automatically scanned and manually entered data for routine vaccines for accuracy and completeness across these data fields. Analysis of 50 million manually entered EUA vaccine administration records indicated significant gaps in data accuracy and completeness across three data fields observed. Over half of the 50 million EUA vaccine NDCs (53%) and one-third of the expiration dates (35%) analyzed had missing or inaccurate data recorded. Pilot data also showed many errors when manually entered. However, when 67,951 (out of 72,979) vaccines were scanned during the pilot, nearly all entries were complete and accurate across all three data fields (ranging from 99.7% to 99.999% accurate). Vaccine 2D barcode scanning practices increased data accuracy and completeness (up to 99.999% accurate) across data fields assessed. When used consistently, vaccine 2D barcode scanning can resolve the issues demonstrated in manually entered data. To realize these benefits, the immunization community should widely adopt scanning practices. To increase use, CDC has developed a Vaccine 2D Barcode National Adoption Strategy and resources to guide implementation.

BACKGROUND: Hired crop workers have high incidence of work-related injuries, but little has been documented about potential risks at the national level. METHODS: Data were obtained from a national probability sample of hired crop workers in the United States (U.S.) during 2002-2004 (period I), 2008-2010 (period II), and 2014-2015 (period III). Multivariable logistic regression models of work-related injury were constructed using an occupational exposure adjustment for weeks worked in the previous year. RESULTS: Hired crop workers reporting that their employer did not provide clean drinking water and disposable cups every day were estimated to be at greater odds of injury during all three periods. Having at least some English-speaking ability was associated with increased odds of injury in two periods, while owning a dwelling in the U.S. showed greater injury risk during period II but was associated with lower risk during period III. Other items significantly associated with injury during at least one of the study periods in the final multivariable logistic models included being a direct-hire, a migrant worker, U.S.-born, receiving public aid, and having a health condition. CONCLUSIONS: Hired crop workers are an extremely marginalized population of workers in the U.S. Innovative intervention methods must extend beyond traditional occupational models to focus on the overall health of hired crop workers, including increasing healthcare access, ending agricultural exceptionalism to provide equal regulatory protections afforded to workers in other industries, and adequate enforcement of existing regulations. These findings contribute to the understanding of correlates related to increased work-related injury among hired crop workers, and have implications in fields of prevention, intervention, and policy.

During the COVID-19 vaccination rollout from March 2021- December 2022, the Centers for Disease Control and Prevention funded 110 primary and 1051 subrecipient partners at the national, state, local, and community-based level to improve COVID-19 vaccination access, confidence, demand, delivery, and equity in the United States. The partners implemented evidence-based strategies among racial and ethnic minority populations, rural populations, older adults, people with disabilities, people with chronic illness, people experiencing homelessness, and other groups disproportionately impacted by COVID-19. CDC also expanded existing partnerships with healthcare professional societies and other core public health partners, as well as developed innovative partnerships with organizations new to vaccination, including museums and libraries. Partners brought COVID-19 vaccine education into farm fields, local fairs, churches, community centers, barber and beauty shops, and, when possible, partnered with local healthcare providers to administer COVID-19 vaccines. Inclusive, hyper-localized outreach through partnerships with community-based organizations, faith-based organizations, vaccination providers, and local health departments was critical to increasing COVID-19 vaccine access and building a broad network of trusted messengers that promoted vaccine confidence. Data from monthly and quarterly REDCap reports and monthly partner calls showed that through these partnerships, more than 295,000 community-level spokespersons were trained as trusted messengers and more than 2.1 million COVID-19 vaccinations were administered at new or existing vaccination sites. More than 535,035 healthcare personnel were reached through outreach strategies. Quality improvement interventions were implemented in healthcare systems, long-term care settings, and community health centers resulting in changes to the clinical workflow to incorporate COVID-19 vaccine assessments, recommendations, and administration or referrals into routine office visits. Funded partners' activities improved COVID-19 vaccine access and addressed community concerns among racial and ethnic minority groups, as well as among people with barriers to vaccination due to chronic illness or disability, older age, lower income, or other factors.

After the hurricanes in 2017 in the U.S. Caribbean, it was essential to rebuild, strengthen, and sustain essential environmental health (EH) services and systems. The National Environmental Health Association, in partnership with the Centers for Disease Control and Prevention, developed an online mentorship program for newly hired and existing EH staff and health department leadership in Caribbean health departments. Participants were provided with both practical and didactic learning and were allowed to evaluate the program. Both mentors and mentees were highly satisfied with the knowledge and skills acquired, and mentees expressed it was relevant to their daily work. Based on the findings, we recommend both an online and a hybrid mentorship program for leadership- and inspector-level workforces in EH and potentially in other fields.

Fatal and serious crashes on our roadways remain a persistent public health crisis. Vision Zero, based on the principles of a Safe Systems approach, is an initiative that has grown in popularity in the United States in the past decade. While the importance of cross-sector collaboration and the need for a supportive community culture in order to realize community change is well established, such tools and frameworks have not been applied as commonly for road safety initiatives as in other fields. We adapted and utilized the Community Readiness Assessment (CRA) tool, a well-established model within public health for assessing and informing community-based interventions in seven Vision Zero communities in one U.S. state. Three communities assessed were determined to be at an overall readiness level of four out of nine, or at a “preplanning” level and four of the communities scored a level of three, or at a “vague awareness” level. However, levels of readiness across the six dimensions measured varied, with community-related dimensions (e.g., community climate) scoring lower than readiness levels for stakeholder knowledge, leadership, and resources. Additionally, communities with more advanced stages of implementation had higher readiness scores, on average. Assessment results provided unique insights to inform next steps for local initiatives, particularly related to discrepancies between the readiness of the wider community and the readiness of leadership and available resources. Therefore, the CRA represents a potentially beneficial tool for communities pursuing Vision Zero initiatives. © 2023 The Authors

People living with cardiovascular disease and other chronic conditions had a greater risk of complications and death during the COVID-19 pandemic (Abbasi, 2022; Clerkin et al., 2020; Vosko et al., 2023; Xie et al., 2022). Like many other health conditions, chronic diseases disproportionately affect people from minority groups and people with lower incomes (Caraballo et al., 2022; Crook & Peters, 2008). These health disparities were exacerbated by the COVID-19 disease and the effects of pandemic response measures on preventive healthcare in the USA (Andraska et al., 2021; Boehmer et al., 2022; Lopez et al., 2021). Amid the unprecedented public health crisis of COVID-19, there were many opportunities for prevention and for implementation scientists to create and test innovative solutions to mitigate these effects (Wensing et al., 2020). | | Implementation science has emerged as a potential solution to the failure to translate evidence from research into effective practice (Eccles & Mittman, 2006) and policy evident in many fields. Implementation science in health is the study of methods to promote the adoption and integration of evidence-based practices, interventions, and policies into routine healthcare and public health settings to improve our impact on population health (National Institutes of Health, 2022). The field seeks to understand the approaches that work best to translate research to real-world systems of care and further apply and adapt these approaches in different contexts and settings to improve public health. Implementation science, thus, could help maximize reach and impact of interventions for populations with chronic diseases.

BACKGROUND: Glyphosate is one of the most heavily used pesticides in the world, but little is known about sources of glyphosate exposure in pregnant people living in agricultural regions. OBJECTIVE: Our objective was to evaluate glyphosate exposure during pregnancy in relation to residential proximity to agriculture as well as agricultural spray season. METHODS: We quantified glyphosate concentrations in 453 urine samples collected biweekly from a cohort of 40 pregnant people in southern Idaho from February through December 2021. We estimated each participant's glyphosate exposure as the geometric mean (GM) of glyphosate concentrations measured in all samples (average n = 11 samples/participant), as well as the GM of samples collected during the pesticide "spray season" (defined as those collected 1 May-15 August; average n = 5 samples/participant) and the "nonspray season" (defined as those collected before 1 May or after 15 August; average n = 6 samples/participant). We defined participants who resided  < 0.5 km from an actively cultivated agriculture field to live "near fields" and those residing  ≥ 0.5 km from an agricultural field to live "far from fields" (n = 22 and 18, respectively). RESULTS: Among participants living near fields, urinary glyphosate was detected more frequently and at significantly increased GM concentrations during the spray season in comparison with the nonspray season (81% vs. 55%; 0.228 μg/L vs. 0.150 μg/L, p < 0.001). In contrast, among participants who lived far from fields, neither glyphosate detection frequency nor GMs differed in the spray vs nonspray season (66% vs. 64%; 0.154 μg/L vs. 0.165 μg/L, p = 0.45). Concentrations did not differ by residential proximity to fields during the nonspray season (0.154 μg/L vs. 0.165 μg/L, for near vs. far, p = 0.53). DISCUSSION: Pregnant people living near agriculture fields had significantly increased urinary glyphosate concentrations during the agricultural spray season than during the nonspray season. They also had significantly higher urinary glyphosate concentrations during the spray season than those who lived far from agricultural fields at any time of year, but concentrations did not differ during the nonspray season. These findings suggest that agricultural glyphosate spray is a source of exposure for people living near fields. https://doi.org/10.1289/EHP12768.

Introduction: This research evaluated existing health equity frameworks as they relate to social determinants of health (SDOHs) and individual factors that may impact injury outcomes and identify gaps in coverage using the Healthy People (HP) 2030 key domains. Methods: The study used a list of health equity frameworks sourced from previous literature. SDOHs and individual factors from each framework were identified and categorized into the Healthy People 2030 domains. Five injury topic areas were used as examples for how SDOHs and individual factors can be compared to injury topic-specific health disparities to identify health equity frameworks to apply to injury research. Results: The study identified 59 SDOHs and individual factors from the list of 33 health equity frameworks. The number of SDOHs and individual factors identified varied by Healthy People 2030 domain: Neighborhood and Built Environment contained 16 (27.1%) SDOHs and individual actors, Social and Community Context contained 22 (37.3%), Economic Stability contained 10 (16.9%), Healthcare Access and Quality contained 10 (16.9%), and Education Access and Quality contained one (1.7%). Twenty-three (39.0%) SDOHs/individual factors related to traumatic brain injury, thirteen (22.0%) related to motor vehicle crashes and suicide, 11 (18.6%) related to drowning and older adult falls. Eight frameworks (24.2%) covered all HP 2030 key domains and may be applicable to injury topics. Conclusions: Incorporating health equity into research is critical. Health equity frameworks can provide a way to systematically incorporate health equity into research. The findings from this study may be useful to health equity research by providing a resource to injury and other public health fields. Practical Applications: Health equity frameworks are a practical tool to guide injury research, translation, evaluation, and program implementation. The findings from this study can be used to guide the application of health equity frameworks in injury research for specific topic areas. © 2023

Integration of genomic technologies into routine antimicrobial resistance (AMR) surveillance in health-care facilities has the potential to generate rapid, actionable information for patient management and inform infection prevention and control measures in near real time. However, substantial challenges limit the implementation of genomics for AMR surveillance in clinical settings. Through a workshop series and online consultation, international experts from across the AMR and pathogen genomics fields convened to review the evidence base underpinning the use of genomics for AMR surveillance in a range of settings. Here, we summarise the identified challenges and potential benefits of genomic AMR surveillance in health-care settings, and outline the recommendations of the working group to realise this potential. These recommendations include the definition of viable and cost-effective use cases for genomic AMR surveillance, strengthening training competencies (particularly in bioinformatics), and building capacity at local, national, and regional levels using hub and spoke models.

The Human Phenotype Ontology (HPO) is a widely used resource that comprehensively organizes and defines the phenotypic features of human disease, enabling computational inference and supporting genomic and phenotypic analyses through semantic similarity and machine learning algorithms. The HPO has widespread applications in clinical diagnostics and translational research, including genomic diagnostics, gene-disease discovery, and cohort analytics. In recent years, groups around the world have developed translations of the HPO from English to other languages, and the HPO browser has been internationalized, allowing users to view HPO term labels and in many cases synonyms and definitions in ten languages in addition to English. Since our last report, a total of 2239 new HPO terms and 49235 new HPO annotations were developed, many in collaboration with external groups in the fields of psychiatry, arthrogryposis, immunology and cardiology. The Medical Action Ontology (MAxO) is a new effort to model treatments and other measures taken for clinical management. Finally, the HPO consortium is contributing to efforts to integrate the HPO and the GA4GH Phenopacket Schema into electronic health records (EHRs) with the goal of more standardized and computable integration of rare disease data in EHRs.

Since publication of the last consensus statement on leptospirosis in dogs, there has been revision of leptospiral taxonomy and advancements in typing methods, widespread use of new diagnostic tests and vaccines, and improved understanding of the epidemiology and pathophysiology of the disease. Leptospirosis continues to be prevalent in dogs, including in small breed dogs from urban areas, puppies as young as 11 weeks of age, geriatric dogs, dogs in rural areas, and dogs that have been inadequately vaccinated for leptospirosis (including dogs vaccinated with 2-serovar Leptospira vaccines in some regions). In 2021, the American College of Veterinary Internal Medicine (ACVIM) Board of Regents voted to approve the topic for a revised Consensus Statement. After identification of core panelists, a multidisciplinary group of 6 experts from the fields of veterinary medicine, human medicine, and public health was assembled to vote on the recommendations using the Delphi method. A draft was presented at the 2023 ACVIM Forum, and a written draft posted on the ACVIM website for comment by the membership before submission to the editors of the Journal of Veterinary Internal Medicine. This revised document provides guidance for veterinary practitioners on disease in dogs as well as cats. The level of agreement among the 12 voting members (including core panelists) is provided in association with each recommendation. A denominator lower than 12 reflects abstention of ≥1 panelists either because they considered the recommendation to be outside their scope of expertise or because there was a perceived conflict of interest.

BACKGROUND: For surveillance of episodic illness, the emergency department (ED) represents one of the largest interfaces for generalizable data about segments of the US public experiencing a need for unscheduled care. This protocol manuscript describes the development and operation of a national network linking symptom, clinical, laboratory and disposition data that provides a public database dedicated to the surveillance of acute respiratory infections (ARIs) in EDs. METHODS: The Respiratory Virus Laboratory Emergency Department Network Surveillance (RESP-LENS) network includes 26 academic investigators, from 24 sites, with 91 hospitals, and the Centers for Disease Control and Prevention (CDC) to survey viral infections. All data originate from electronic medical records (EMRs) accessed by structured query language (SQL) coding. Each Tuesday, data are imported into the standard data form for ARI visits that occurred the prior week (termed the index file); outcomes at 30 days and ED volume are also recorded. Up to 325 data fields can be populated for each case. Data are transferred from sites into an encrypted Google Cloud Platform, then programmatically checked for compliance, parsed, and aggregated into a central database housed on a second cloud platform prior to transfer to CDC. RESULTS: As of August, 2023, the network has reported data on over 870,000 ARI cases selected from approximately 5.2 million ED encounters. Post-contracting challenges to network execution have included local shifts in testing policies and platforms, delays in ICD-10 coding to detect ARI cases, and site-level personnel turnover. The network is addressing these challenges and is poised to begin streaming weekly data for dissemination. CONCLUSIONS: The RESP-LENS network provides a weekly updated database that is a public health resource to survey the epidemiology, viral causes, and outcomes of ED patients with acute respiratory infections.

People experiencing homelessness (PEH) are at disproportionate risk of becoming infected and having severe illness from coronavirus disease 2019 (COVID-19), especially when residing in congregate settings like homeless shelters. Behavioral health problems related to substance use disorder (SUD) and severe mental illness (SMI) may have created additional challenges for PEH to practice prevention measures like mask wearing, physical distancing, handwashing, and quarantine and isolation. The study objective was to understand the perceived barriers PEH face regarding COVID-19 non-pharmaceutical prevention strategies and identify recommendations for overcoming barriers. From August-October 2020, qualitative phone interviews with 50 purposively selected behavioral health professionals across the United States serving PEH with SUD or SMI were conducted. Professionals described that PEH faced barriers to prevention that were structural (e.g., access to necessary resources), behavioral (related to SUD or SMI), or related to the priority of other needs. Recommendations to overcome these barriers included providing free prevention resources (e.g., masks and hand sanitizer), providing education about importance of prevention strategies, and prioritizing access to stable housing. Interviews took place before COVID-19 vaccines were available, so barriers to vaccination are not included in this paper. Findings can help support tailored approaches during COVID-19 and future public health threats.

The electric and magnetic fields of an infinite straight wire carrying a steady current which is turned on abruptly are determined using Jefimenko's equations, starting from the standard assumption that the wire is electrically neutral in its rest frame. Some nontrivial aspects of the solution are discussed in detail.

In the past decade, distributed acoustic sensing (DAS) has enabled many new monitoring applications in diverse fields including hydrocarbon exploration and extraction; induced, local, regional, and global seismology; infrastructure and urban monitoring; and several others. However, to date, the open-source software ecosystem for handling DAS data is relatively immature. Here we introduce DASCore, a Python library for analyzing, visualizing, and managing DAS data. DASCore implements an object-oriented interface for performing common data processing and transformations, reading and writing various DAS file types, creating simple visualizations, and managing file system-based DAS archives. DASCore also integrates with other Python-based tools which enable the processing of massive data sets in cloud environments. DASCore is the foundational package for the broader DAS data analysis ecosystem (DASDAE), and as such its main goal is to facilitate the development of other DAS libraries and applications.

Background Disease surveillance is a critical function of public health, provides essential information about disease burden, clinical and epidemiologic parameters of disease, and is an important element to effective and timely case and contact tracing. The COVID-19 pandemic has demonstrated the essential role these functions have to preserve public health. Syndromic surveillance, electronic laboratory reporting in the meaningful use program, and the growth of the National Healthcare Safety Network (NHSN) have created linkages between hospitals, commercial labs, and public health that can collect and organize data, often through EHR and order workflows, to improve the timeliness and completeness of reporting. In theory, the standard data formats and exchange methods provided by meaningful use should enable rapid healthcare data exchange in the setting of disruptive healthcare events like a pandemic. In reality, access to data remains challenging, and even if available, often lack conformity to regulated standards.Objective We sought to use regulated interoperability standards already in production to generate regional bed capacity awareness, enhance the capture of epidemiological risk factors and clinical variables among COVID-19 tested patients, and reduce the administrative burden of reporting for stakeholders in a manner that could be replicated by other public health agencies.Methods Following a public health order mandating data submission, we developed technical infrastructure to combine multiple data feeds from electronic health record systems. We measured the completeness of each feed, and the match rate between feeds.Results A cloud-based environment was created that received data from electronic lab reporting, consolidated clinical data architecture, and bed capacity data feeds from sites. Data governance was planned from the project beginning to aid in consensus and principles for data use. 88,906 total persons from CCDA data among 14 facilities, and 408,741 persons from ELR records among 88 facilities, were submitted. Fields routinely absent from ELR feeds included travel histories, clinical symptoms, and comorbidities. CCDA data provided an improvement in the quality of data available for surveillance and was highly complete with &lt;5% for all records types with the exception of patient cell phone. 90.1% of records could be matched between CCDA and ELR feeds.Conclusions We describe the development of a city-wide public health data hub for the surveillance of COVID-19 infection. We were able to assess the completeness of existing ELR feeds, augment these feeds with CCDA documents, establish secure transfer methods for data exchange, develop cloud-based architecture to enable secure data storage and analytics, and produced meaningful dashboards for the monitoring of capacity and disease burden. We see this public health and clinical data registry as an informative example of the power of common standards across electronic records, and a potential template for future extension of the use of standards to improve public health surveillance.Competing Interest StatementThe authors have declared no competing interest.Funding StatementNo external funding was received for this work.Author DeclarationsI confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.YesThe details of the IRB/oversight body that provided approval or exemption for the research described are given below:This work was conducted under a public health exemption through the Chicago Department of Public HealthAll necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived.YesI understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectiv ly, please provide a statement in the trial ID field explaining why the study was not registered in advance).YesI have followed all appropriate research reporting guidelines and uploaded the relevant EQUATOR Network research reporting checklist(s) and other pertinent material as supplementary files, if applicable.YesThe data used for this study was reported to the health department and is not publicly available at this time.