Ensuring good quality of life (QoL) among persons with diagnosed HIV (PWH) is a priority of the National HIV/AIDS Strategy (NHAS), which established 2025 goals for improving QoL. Goals are monitored through five indicators: self-rated health, unmet needs for mental health services, unemployment, hunger or food insecurity, and unstable housing or homelessness. Among the growing population of PWH aged ≥50 years, progress toward these goals has not been assessed. Data collected during the 2017-2022 cycles of the Medical Monitoring Project, an annual complex sample survey of U.S. adults with diagnosed HIV, assessed progress toward NHAS 2025 QoL goals among PWH aged ≥50 years, overall and by age group. The recent estimated annual percentage change from baseline (2017 or 2018) to 2022 was calculated for each indicator. Among PWH aged ≥50 years, the 2025 goal of 95% PWH with good or better self-rated health is 46.2% higher than the 2022 estimate. The 2025 goals of a 50% reduction in the other indicators range from 26.3% to 56.3% lower than the 2022 estimates. Decreasing hunger or food insecurity by 50% among PWH aged ≥65 was the only goal met by 2022. If recent trends continue, other NHAS QoL 2025 goals are unlikely to be met. Multisectoral strategies to improve access to housing, employment, food, and mental health will be needed to meet NHAS 2025 goals for QoL among older PWH.

INTRODUCTION: Chlamydia trachomatis (Ct) and Neisseria gonorrhoeae (Ng) infections are often asymptomatic; screening increases early detection and prevents disease, sequelae and further spread. To increase Ct and Ng testing, several countries have implemented specimen self-collection outside a clinical setting. While specimen self-collection at home is highly acceptable to patients and as accurate as specimens collected by healthcare providers, this strategy is new or not being used in some countries. To understand how offering at home specimen self-collection will affect testing uptake, test results, diagnosis and linkage to care, when compared with collection in clinical settings, we conducted a systematic literature review and meta-analysis of peer-reviewed studies. METHODS: We searched Medline, Embase, Global Health, Cochrane Library, CINAHL (EBSCOHost), Scopus and Clinical Trials. Studies were included if they directly compared specimens self-collected at home or in other non-clinical settings to specimen collection at a healthcare facility (self or clinician) for Ct and/or Ng testing and evaluated the following outcomes: uptake in testing, linkage to care, and concordance (agreement) between the two settings for the same individuals. Risk of bias (RoB) was assessed using Cochrane Risk of Bias (RoB2) tool for randomised control trials (RCTs). RESULTS: 19 studies, from 1998 to 2024, comprising 15 RCTs with a total of 62 369 participants and four concordance studies with 906 participants were included. Uptake of Ct or Ng testing was 2.61 times higher at home compared with clinical settings. There was a high concordance between specimens collected at home and in clinical settings, and linkage to care was not significantly different between the two settings (prevalence ratio 0.96 (95% CI 0.91-1.01)). CONCLUSION: Our meta-analysis and systematic literature review show that offering self-collection of specimens at home or in other non-clinical settings could be used as an additional strategy to increase sexually transmitted infection testing in countries that have not yet widely adopted this collection method.

OBJECTIVE: Case investigation and contact tracing (CI/CT) are fundamental public health efforts widely used during the COVID-19 pandemic to mitigate transmission. This study investigated how state, local, and tribal public health departments used CI/CT during the COVID-19 pandemic, including CI/CT methodology, staffing models, training and support, and efforts to identify or prioritize populations disproportionately affected by COVID-19. METHODS: During March and April 2022, we conducted key informant interviews with up to 3 public health officials from 43 state, local, and tribal public health departments. From audio-recorded and transcribed interviews, we used the framework method to analyze key themes. RESULTS: Major adjustments to CI/CT protocols during the pandemic included (1) prioritizing populations for outreach; (2) implementing automated outreach for nonprioritized groups, particularly during COVID-19 surges; (3) discontinuing contact tracing and focusing exclusively on case investigation; and (4) adding innovations to provide additional support. Key informants also discussed the utility of having backup staffing to support overwhelmed public health departments and spoke to the difficulty in "right-sizing" the public health workforce, with COVID-19 surges leaving public health departments understaffed as case rates rose and overstaffed as case rates fell. CONCLUSIONS: When addressing future epidemics or outbreaks, public health officials should consider strategies that improve the effectiveness of CI/CT efforts over time, such as prioritizing populations based on disproportionate risk, implementing automated outreach, developing models that provide flexible additional staffing resources as cases rise and fall among local public health departments, incorporating demographic data in laboratory reporting, providing community connections and support, and having a system of self-notification of contacts.

OBJECTIVES: We sought to (1) document how health departments (HDs) developed COVID-19 case investigation and contact tracing (CI/CT) interview scripts and the topics covered, and (2) understand how and why HDs modified those scripts. DESIGN: Qualitative analysis of CI/CT interview scripts and in-depth key informant interviews with public health officials in 14 HDs. Collected scripts represent 3 distinct points (initial, the majority of which were time stamped May 2020; interim, spanning from September 2020 to August 2021; and current, as of April 2022). SETTING: Fourteen state, local, and tribal health jurisdictions and Centers for Disease Control and Prevention (CDC). PARTICIPANTS: Thirty-six public health officials involved in leading CI/CT from 14 state, local, and tribal health jurisdictions (6 states, 3 cities, 4 counties, and 1 tribal area). MAIN OUTCOME MEASURE: Interview script elements included in CI/CT interview scripts over time. RESULTS: Many COVID-19 CI/CT scripts were developed by modifying questions from scripts used for other communicable diseases. Early in the pandemic, scripts included guidance on isolation/quarantine and discussed symptoms of COVID-19. As the pandemic evolved, the length of scripts increased substantially, with significant additions on contact elicitation, vaccinations, isolation/quarantine recommendations, and testing. Drivers of script changes included changes in our understanding of how the virus spreads, risk factors and symptoms, new treatments, new variants, vaccine development, and adjustments to CDC's official isolation and quarantine guidance. CONCLUSIONS: Our findings offer suggestions about components to include in future CI/CT efforts, including educating members of the public about the disease and its symptoms, offering mitigation guidance, and providing sufficient support and resources to help people act on that guidance. Assessing the correlation between script length and number of completed interviews or other quality and performance measures could be an area for future study.

INTRODUCTION: Traditional survey-based surveillance is costly, limited in its ability to distinguish diabetes types and time-consuming, resulting in reporting delays. The Diabetes in Children, Adolescents and Young Adults (DiCAYA) Network seeks to advance diabetes surveillance efforts in youth and young adults through the use of large-volume electronic health record (EHR) data. The network has two primary aims, namely: (1) to refine and validate EHR-based computable phenotype algorithms for accurate identification of type 1 and type 2 diabetes among youth and young adults and (2) to estimate the incidence and prevalence of type 1 and type 2 diabetes among youth and young adults and trends therein. The network aims to augment diabetes surveillance capacity in the USA and assess performance of EHR-based surveillance. This paper describes the DiCAYA Network and how these aims will be achieved. METHODS AND ANALYSIS: The DiCAYA Network is spread across eight geographically diverse US-based centres and a coordinating centre. Three centres conduct diabetes surveillance in youth aged 0-17 years only (component A), three centres conduct surveillance in young adults aged 18-44 years only (component B) and two centres conduct surveillance in components A and B. The network will assess the validity of computable phenotype definitions to determine diabetes status and type based on sensitivity, specificity, positive predictive value and negative predictive value of the phenotypes against the gold standard of manually abstracted medical charts. Prevalence and incidence rates will be presented as unadjusted estimates and as race/ethnicity, sex and age-adjusted estimates using Poisson regression. ETHICS AND DISSEMINATION: The DiCAYA Network is well positioned to advance diabetes surveillance methods. The network will disseminate EHR-based surveillance methodology that can be broadly adopted and will report diabetes prevalence and incidence for key demographic subgroups of youth and young adults in a large set of regions across the USA.

INTRODUCTION: The reemergence of syphilis, especially congenital syphilis, presents a significant public health threat. Accurate diagnosis of syphilis depends on recognition of a constellation of symptoms, review of medical and sexual history, and multiple laboratory tests. While reliable, current tests for syphilis can be difficult to interpret, which can lead to delays in treatment. AREA COVERED: This review summarizes the major advantages and limitations of available diagnostic laboratory methods for syphilis, provides an update on recent advances in laboratory tools, and highlights the urgent need for coordinated efforts to create new tools to halt the resurgence of syphilis. EXPERT OPINION: In syphilis, the wide variety of short-lived signs and symptoms followed by periods of latency create diagnostics challenges. Currently available laboratory tests, when positive, require additional information to interpret (prior testing, treatment, and sexual history). Point-of-care tests that can rapidly and accurately detect both treponemal and non-treponemal antibodies would be a huge step toward reducing test turnaround time and time to treatment. Incorporating biological insights and technology innovations to advance the development of direct detection assays is urgently needed. A comprehensive coordinated effort is critical to stem the tide of rising syphilis in the United States and globally.

BACKGROUND: Exposure to particulate matter ≤2.5 μm in diameter (PM(2.5)) and ozone (O(3)) has been linked to numerous harmful health outcomes. While epidemiologic evidence has suggested a positive association with type 2 diabetes (T2D), there is heterogeneity in findings. We evaluated exposures to PM(2.5) and O(3) across three large samples in the US using a harmonized approach for exposure assignment and covariate adjustment. METHODS: Data were obtained from the Veterans Administration Diabetes Risk (VADR) cohort (electronic health records [EHRs]), the Reasons for Geographic and Racial Disparities in Stroke (REGARDS) cohort (primary data collection), and the Geisinger health system (EHRs), and reflect the years 2003-2016 (REGARDS) and 2008-2016 (VADR and Geisinger). New onset T2D was ascertained using EHR information on medication orders, laboratory results, and T2D diagnoses (VADR and Geisinger) or report of T2D medication or diagnosis and/or elevated blood glucose levels (REGARDS). Exposure was assigned using pollutant annual averages from the Downscaler model. Models stratified by community type (higher density urban, lower density urban, suburban/small town, or rural census tracts) evaluated likelihood of new onset T2D in each study sample in single- and two-pollutant models of PM(2.5) and O(3). RESULTS: In two pollutant models, associations of PM(2.5), and new onset T2D were null in the REGARDS cohort except for in suburban/small town community types in models that also adjusted for NSEE, with an odds ratio (95% CI) of 1.51 (1.01, 2.25) per 5 μg/m(3) of PM(2.5). Results in the Geisinger sample were null. VADR sample results evidenced nonlinear associations for both pollutants; the shape of the association was dependent on community type. CONCLUSIONS: Associations between PM(2.5), O(3) and new onset T2D differed across three large study samples in the US. None of the results from any of the three study populations found strong and clear positive associations.

Using a nationally representative panel survey, we examined isolation behaviors among persons in the United States who had positive SARS-CoV-2 test results during January 2021-March 2022. Compared with persons who received provider-administered results, persons with home-based results had 29% (95% CI 5%-47%) lower odds of following isolation recommendations.

BACKGROUND: Communities in the United States (US) exist on a continuum of urbanicity, which may inform how individuals interact with their food environment, and thus modify the relationship between food access and dietary behaviors. OBJECTIVE: This cross-sectional study aims to examine the modifying effect of community type in the association between the relative availability of food outlets and dietary inflammation across the US. METHODS: Using baseline data from the REasons for Geographic and Racial Differences in Stroke study (2003-2007), we calculated participants' dietary inflammation score (DIS). Higher DIS indicates greater pro-inflammatory exposure. We defined our exposures as the relative availability of supermarkets and fast-food restaurants (percentage of food outlet type out of all food stores or restaurants, respectively) using street-network buffers around the population-weighted centroid of each participant's census tract. We used 1-, 2-, 6-, and 10-mile (~ 2-, 3-, 10-, and 16 km) buffer sizes for higher density urban, lower density urban, suburban/small town, and rural community types, respectively. Using generalized estimating equations, we estimated the association between relative food outlet availability and DIS, controlling for individual and neighborhood socio-demographics and total food outlets. The percentage of supermarkets and fast-food restaurants were modeled together. RESULTS: Participants (n = 20,322) were distributed across all community types: higher density urban (16.7%), lower density urban (39.8%), suburban/small town (19.3%), and rural (24.2%). Across all community types, mean DIS was - 0.004 (SD = 2.5; min = - 14.2, max = 9.9). DIS was associated with relative availability of fast-food restaurants, but not supermarkets. Association between fast-food restaurants and DIS varied by community type (P for interaction = 0.02). Increases in the relative availability of fast-food restaurants were associated with higher DIS in suburban/small towns and lower density urban areas (p-values < 0.01); no significant associations were present in higher density urban or rural areas. CONCLUSIONS: The relative availability of fast-food restaurants was associated with higher DIS among participants residing in suburban/small town and lower density urban community types, suggesting that these communities might benefit most from interventions and policies that either promote restaurant diversity or expand healthier food options.

The Mars 2020/Mars Sample Return (MSR) Sample Depot Science Community Workshop was held on September 28 and 30, 2022, to assess the Scientifically-Return Worthy (SRW) value of the full collection of samples acquired by the rover Perseverance at Jezero Crater, and of a proposed subset of samples to be left as a First Depot at a location within Jezero Crater called Three Forks. The primary outcome of the workshop was that the community is in consensus on the following statement: The proposed set of ten sample tubes that includes seven rock samples, one regolith sample, one atmospheric sample, and one witness tube constitutes a SRW collection that: (1) represents the diversity of the explored region around the landing site, (2) covers partially or fully, in a balanced way, all of the International MSR Objectives and Samples Team scientific objectives that are applicable to Jezero Crater, and (3) the analyses of samples in this First Depot on Earth would be of fundamental importance, providing a substantial improvement in our understanding of Mars. At the conclusion of the meeting, there was overall community support for forming the First Depot as described at the workshop and placing it at the Three Forks site. The community also recognized that the diversity of the Rover Cache (the sample collection that remains on the rover after placing the First Depot) will significantly improve with the samples that are planned to be obtained in the future by the Perseverance rover and that the Rover Cache is the primary target for MSR to return to Earth. © 2023 His Majesty the King in Right of Canada, Royal Ontario Museum, Jet Propulsion Laboratory, California Institute of Technology and The Authors. Government sponsorship acknowledged. Meteoritics & Planetary Science published by Wiley Periodicals LLC on behalf of The Meteoritical Society. Reproduced with the permission of the Minister of Canadian Space Agency. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.

BACKGROUND: University students commonly received COVID-19 vaccinations before returning to U.S. campuses in the Fall of 2021. Given likely immunologic variation among students based on differences in type of primary series and/or booster dose vaccine received, we conducted serologic investigations in September and December 2021 on a large university campus in Wisconsin to assess anti-SARS-CoV-2 antibody levels. METHODS: We collected blood samples, demographic information, and COVID-19 illness and vaccination history from a convenience sample of students. Sera were analyzed for both anti-spike (anti-S) and anti-nucleocapsid (anti-N) antibody levels using World Health Organization standardized binding antibody units per milliliter (BAU/mL). Levels were compared across categorical primary COVID-19 vaccine series received and binary COVID-19 mRNA booster status. The association between anti-S levels and time since most recent vaccination dose was estimated by mixed-effects linear regression. RESULTS: In total, 356 students participated, of whom 219 (61.5%) had received a primary vaccine series of Pfizer-BioNTech or Moderna mRNA vaccines and 85 (23.9%) had received vaccines from Sinovac or Sinopharm. Median anti-S levels were significantly higher for mRNA primary vaccine series recipients (2.90 and 2.86 log [BAU/mL], respectively), compared with those who received Sinopharm or Sinovac vaccines (1.63 and 1.95 log [BAU/mL], respectively). Sinopharm and Sinovac vaccine recipients were associated with a significantly faster anti-S decline over time, compared with mRNA vaccine recipients (P <.001). By December, 48/172 (27.9%) participants reported receiving an mRNA COVID-19 vaccine booster, which reduced the anti-S antibody discrepancies between primary series vaccine types. CONCLUSIONS: Our work supports the benefit of heterologous boosting against COVID-19. COVID-19 mRNA vaccine booster doses were associated with increases in anti-SARS-CoV-2 antibody levels; following an mRNA booster dose, students with both mRNA and non-mRNA primary series receipt were associated with comparable levels of anti-S IgG.

Case investigation and contact tracing (CI/CT) is a critical part of the public health response to COVID-19. Individuals' experiences with CI/CT for COVID-19 varied based on geographic location, changes in knowledge and guidelines, access to testing and vaccination, as well as demographic characteristics including age, race, ethnicity, income, and political ideology. In this paper, we explore the experiences and behaviors of adults with positive SARS-CoV-2 test results, or who were exposed to a person with COVID-19, to understand their knowledge, motivations, and facilitators and barriers to their actions. We conducted focus groups and one-on-one interviews with 94 cases and 90 contacts from across the United States. We found that participants were concerned about infecting or exposing others, which motivated them to isolate or quarantine, notify contacts, and get tested. Although most cases and contacts were not contacted by CI/CT professionals, those who were reported a positive experience and received helpful information. Many cases and contacts reported seeking information from family, friends, health care providers, as well as television news and Internet sources. Although participants reported similar perspectives and experiences across demographic characteristics, some highlighted inequities in receiving COVID-19 information and resources.

INTRODUCTION: Geographic disparities in diabetes burden exist throughout the United States (US), with many risk factors for diabetes clustering at a community or neighborhood level. We hypothesized that the likelihood of new onset type 2 diabetes (T2D) would differ by community type in three large study samples covering the US. RESEARCH DESIGN AND METHODS: We evaluated the likelihood of new onset T2D by a census tract-level measure of community type, a modification of RUCA designations (higher density urban, lower density urban, suburban/small town, and rural) in three longitudinal US study samples (REGARDS [REasons for Geographic and Racial Differences in Stroke] cohort, VADR [Veterans Affairs Diabetes Risk] cohort, Geisinger electronic health records) representing the CDC Diabetes LEAD (Location, Environmental Attributes, and Disparities) Network. RESULTS: In the REGARDS sample, residing in higher density urban community types was associated with the lowest odds of new onset T2D (OR [95% CI]: 0.80 [0.66, 0.97]) compared to rural community types; in the Geisinger sample, residing in higher density urban community types was associated with the highest odds of new onset T2D (OR [95% CI]: 1.20 [1.06, 1.35]) compared to rural community types. In the VADR sample, suburban/small town community types had the lowest hazard ratios of new onset T2D (HR [95% CI]: 0.99 [0.98, 1.00]). However, in a regional stratified analysis of the VADR sample, the likelihood of new onset T2D was consistent with findings in the REGARDS and Geisinger samples, with highest likelihood of T2D in the rural South and in the higher density urban communities of the Northeast and West regions; likelihood of T2D did not differ by community type in the Midwest. CONCLUSIONS: The likelihood of new onset T2D by community type varied by region of the US. In the South, the likelihood of new onset T2D was higher among those residing in rural communities.

This review assessed sexual health and sexually transmitted infection (STI) burden among American Indian/Alaska Native (AI/AN) peoples within the context of current clinical and public health services. We conducted a review of published literature about sexual health and bacterial STIs among AI/AN populations in the United States using Medline (OVID), CINAHL (EbscoHost) and Scopus. Peer-reviewed journals published during 1 January 2005-2 December 2021 were included and supplemented by other publicly available literature. A total of 138 articles from reference lists met inclusion criteria, including 85 peer-review articles and 53 additional references. Results indicate a disproportionate burden of STIs is carried by AI/AN populations compared to non-Hispanic Whites. Risk for STIs in AI/AN people has origins in historical trauma and structural and social determinants of health. STI services are available for AI/AN populations, but many barriers to care exist. Community-based sexual health programming has been successful, but has thus far focused primarily on adolescents and young adults. A myriad of factors contributes to high rates of STIs among AI/AN populations. Longstanding disparities show a clear need to increase the availability of integrated, low-barrier STI prevention and treatment services. Implementation of multi-level (individual, physician, clinic, healthcare organisation, and/or community level), culturally relevant sexual health and STI interventions should be community-based and person-centred, acknowledge social determinants of health, and grounded in deep respect and understanding of AI/AN histories and cultures.

From 2009 to 2018, overall suicide rates in the United States increased by 20.3% and increased by 43.5% among non-Hispanic American Indian and Alaska Native (AI/AN) communities. Combining years 2009 through 2018, suicide rates per 100 000 population among non-Hispanic AI/AN adolescents and young adults aged 15 to 34 years were 2 to 4 times higher than those of adolescents and young adults of other races and ethnicities. An estimated 14% to 27% of non-Hispanic AI/AN adolescents attempted suicide during that time. The elevated rates of suicidal behavior among non-Hispanic AI/AN adolescents and young adults reflect inequities in the conditions that create health. In this topical review, we describe school-based educational efforts that are driven by local AI/AN communities, such as the American Indian Life Skills curriculum, that teach stress and coping skills and show promise in reducing suicidal ideation attempts and fatalities among AI/AN adolescents. Using a social-determinants-of-health lens, we review the availability and quality of employment as an important influencer of suicidal behavior, as well as the role of the workplace as an environment for suicide prevention in AI/AN communities. Working with tribal, state, local, and federal colleagues, the public health community can implement programs known to be effective and create additional comprehensive strategies to reduce inequities and ultimately reduce suicide rates.

BACKGROUND: Long-term persistence of Ebola virus (EBOV) in immunologically-privileged sites has been implicated in recent outbreaks of Ebola Virus Disease (EVD) in Guinea and the Democratic Republic of Congo. This study was designed to understand how the acute course of EVD, convalescence, and host immune and genetic factors may play a role in prolonged viral persistence in semen. METHODS: A cohort of 131 male EVD survivors in Liberia were enrolled in a case-case study. "Early clearers" were defined as those with two consecutive negative EBOV semen tests by real-time reverse transcriptase polymerase chain reaction (rRT-PCR) at least two weeks apart within 1 year after discharge from the Ebola Treatment Unit (ETU) or acute EVD. "Late clearers" had detectable EBOV RNA by rRT-PCR over one year following ETU discharge or acute EVD. Retrospective histories of their EVD clinical course were collected by questionnaire, followed by complete physical exams and blood work. RESULTS: Compared to early clearers, late clearers were older (median 42.5 years, p = 0.0001) and experienced fewer severe clinical symptoms (median 2, p = 0.006). Late clearers had more lens opacifications (OR 3.9, 95%CI 1.1-13.3, p = 0.03), after accounting for age, higher total serum IgG3 titers (p = 0.007) and increased expression of the HLA-C*03:04 allele (OR 0.14, 95% CI 0.02-0.70, p = 0.007). CONCLUSIONS: Older age, decreased illness severity, elevated total serum IgG3 and HLA-C*03:04 allele expression may be risk factors for the persistence of EBOV in the semen of EVD survivors. EBOV persistence in semen may also be associated with its persistence in other immunologically protected sites, such as the eye.

INTRODUCTION: State cancer prevention and control programs rely on public health surveillance data to set objectives to improve cancer prevention and control, plan interventions, and evaluate state-level progress towards achieving those objectives. The goal of this project was to evaluate the validity of using electronic health records (EHRs) based on common data model variables to generate indicators for surveillance of cancer prevention and control for these public health programs. METHODS: Following the methodological guidance from the PRISMA Extension for Scoping Reviews, we conducted a literature scoping review to assess how EHRs are used to inform cancer surveillance. We then developed 26 indicators along the continuum of the cascade of care, including cancer risk factors, immunizations to prevent cancer, cancer screenings, quality of initial care after abnormal screening results, and cancer burden. Indicators were calculated within a sample of patients from the New York City (NYC) INSIGHT Clinical Research Network using common data model EHR data and were weighted to the NYC population using post-stratification. We used prevalence ratios to compare these estimates to estimates from the raw EHR of NYU Langone Health to assess quality of information within INSIGHT, and we compared estimates to results from existing surveillance sources to assess validity. RESULTS: Of the 401 identified articles, 15% had a study purpose related to surveillance. Our indicator comparisons found that INSIGHT EHR-based measures for risk factor indicators were similar to estimates from external sources. In contrast, cancer screening and vaccination indicators were substantially underestimated as compared to estimates from external sources. Cancer screenings and vaccinations were often recorded in sections of the EHR that were not captured by the common data model. INSIGHT estimates for many quality-of-care indicators were higher than those calculated using a raw EHR. CONCLUSION: Common data model EHR data can provide rich information for certain indicators related to the cascade of care but may have substantial biases for others that limit their use in informing surveillance efforts for cancer prevention and control programs.

BACKGROUND: To improve understanding of the antibody response to SARS-CoV-2 infection, we examined seroprevalence, incidence of infection, and seroconversion among a cohort of young adults living on university campuses during the fall of 2020. METHODS: At the beginning (semester start) and end (semester end) of an 11-week period, serum collected from 107 students was tested using the qualitative Abbott Architect SARS-CoV-2 IgG and AdviseDx SARS-CoV-2 IgG II assays. Results were matched to interim weekly surveillance viral testing and symptom data. RESULTS: With the SARS-CoV-2 IgG assay, 15 (14.0%) students were seropositive at semester start; 29 (27.1%) students were seropositive at semester end; 10 (9.3%) were seropositive at both times. With the AdviseDx SARS-CoV-2 IgG II assay, 17 (16.3%) students were seropositive at semester start, 37 (35.6%) were seropositive at semester end, and 16 (15.3%) were seropositive at both times. Overall, 23 students (21.5%) had positive viral tests during the semester. Infection was identified by serial testing in a large majority of individuals who seroconverted using both assays. Those seropositive at semester end more frequently reported symptomatic infections (56.5%) than asymptomatic infections (30.4%). CONCLUSION: Differences between antibody targets were observed, with more declines in antibody index values below the threshold of positivity with the anti-nucleocapsid assay compared to the anti-spike assay. Serology testing, combined with serial viral testing, can detect seroconversions, and help understand the potential correlates of protection provided by antibodies to SARS-CoV-2.

BACKGROUND: Large-scale longitudinal studies evaluating influences of the built environment on risk for type 2 diabetes (T2D) are scarce, and findings have been inconsistent. OBJECTIVE: To evaluate whether land use environment (LUE), a proxy of neighborhood walkability, is associated with T2D risk across different US community types, and to assess whether the association is modified by food environment. METHODS: The Veteran's Administration Diabetes Risk (VADR) study is a retrospective cohort of diabetes-free US veteran patients enrolled in VA primary care facilities nationwide from January 1, 2008, to December 31, 2016, and followed longitudinally through December 31, 2018. A total of 4,096,629 patients had baseline addresses available in electronic health records that were geocoded and assigned a census tract-level LUE score. LUE scores were divided into quartiles, where a higher score indicated higher neighborhood walkability levels. New diagnoses for T2D were identified using a published computable phenotype. Adjusted time-to-event analyses using piecewise exponential models were fit within four strata of community types (higher-density urban, lower-density urban, suburban/small town, and rural). We also evaluated effect modification by tract-level food environment measures within each stratum. RESULTS: In adjusted analyses, higher LUE had a protective effect on T2D risk in rural and suburban/small town communities (linear quartile trend test p-value <0.001). However, in lower density urban communities, higher LUE increased T2D risk (linear quartile trend test p-value <0.001) and no association was found in higher density urban communities (linear quartile trend test p-value = 0.317). Particularly strong protective effects were observed for veterans living in suburban/small towns with more supermarkets and more walkable spaces (p-interaction = 0.001). CONCLUSION: Among veterans, LUE may influence T2D risk, particularly in rural and suburban communities. Food environment may modify the association between LUE and T2D.

OBJECTIVES: The Ending the HIV Epidemic (EHE) initiative prioritizes treatment and prevention efforts in counties where most new HIV diagnoses occur and states with substantial incidence of new HIV diagnoses in rural areas. Understanding the characteristics of adults with HIV living in EHE priority areas, and how these characteristics compare with adults with HIV living in non-EHE priority areas, can inform EHE efforts. METHODS: We analyzed data from the 2018 Medical Monitoring Project (MMP) to understand the characteristics of adults with HIV living in 36 of 48 EHE priority counties; San Juan, Puerto Rico; and 1 of 7 EHE priority states. We calculated weighted percentages of sociodemographic characteristics, behaviors, and clinical outcomes of adults with diagnosed HIV living in MMP EHE priority areas and compared them with characteristics of adults who did not live in MMP EHE priority areas using prevalence ratios (PRs) with predicted marginal means. RESULTS: Living in an MMP EHE priority area was more common among adults who were non-Hispanic Black or Hispanic, experienced homelessness, or were food insecure compared with adults who were non-Hispanic White (59.3% and 58.4% vs 41.0%), not experiencing homelessness (60.9% vs 51.9%), or not food insecure (59.8% vs 51.0%). Adults who lived in MMP EHE priority areas were significantly less likely to be adherent to their HIV medications (PR = 0.95; 95% CI, 0.91-0.99) and durably virally suppressed (PR = 0.94; 95% CI, 0.91-0.97), and more likely to miss scheduled appointments for HIV care (PR = 1.31; 95% CI, 1.10-1.56) than adults who did not live in MMP EHE priority areas. CONCLUSION: To increase viral suppression and reduce HIV transmission, it is essential to strengthen public health efforts to improve medication and appointment adherence in this population.

Objectives | Given recent increases in congenital syphilis (CS) in the United States, we describe national trends in the number of CS-related stillbirths, describe CS-related stillbirths by gestational age, and compare characteristics of women delivering CS-related stillbirths to those delivering full term and preterm liveborn CS infants to provide important clinical insight. | | Methods | CS is nationally notifiable with case reports submitted to Centers for Disease Control and Prevention (CDC). We analyzed reported cases of CS born during 20152019, categorizing birth outcomes as stillbirth, preterm <37 weeks, or full term 37 weeks; cases with unknown vital status or gestational age were excluded. We calculated frequencies of maternal clinical characteristics by birth outcome, including receipt of prenatal care, stage of syphilis, and highest reported titer during pregnancy. | | Results | Of the 5,269 CS cases reported to CDC for 20152019, 5,127 (97.3%) had known vital status and gestational age. Among these, 307 (6.0%) were stillbirths. While the number of CS-related stillbirths increased each year during 20152019 (from 2994), the proportion of CS cases reported as stillbirths did not vary considerably across the period (range: 5.1%7.3%). Median gestational age at delivery for CS-related stillbirths was 30 weeks (interquartile range: 2733 weeks). Most CS cases were born to mothers with early latent (31.4%) or late/unknown duration (59.7%) syphilis, though mothers of stillborn infants were 2.3 times as likely as mothers of full term liveborn infants to have secondary syphilis (10.8% vs. 4.6%). Adverse pregnancy outcomes were more likely to have a high maternal syphilis titer; 80.8% of stillbirth, 58.1% of preterm, and 40.2% of full-term deliveries occurred among women with a titer 1:32 during pregnancy. Among women delivering a CS-related stillbirth, 33 (10.7%) had evidence of syphilis seroconversion during pregnancy. Most mothers delivering a CS-related stillbirth (53.4%) did not receive prenatal care, compared to mothers delivering full term liveborn CS infants (18.4%). | | Conclusions | Increases in CS-related stillbirths in the United States reflect increases in CS cases; without prevention efforts, CS could become a larger contributor to overall U.S. stillbirth levels. Understanding when CS-related stillbirths occur, as well as the differences between women delivering CS-related stillbirths and women delivering liveborn CS infants (higher titer, syphilis stage, and prenatal care) may aid with stillbirth prevention. Overcoming barriers to prenatal care is essential for preventing CS stillbirths. Low rates of prenatal care also highlight the importance of syphilis testing outside traditional settings and at the time of stillbirth delivery. Delivery may provide a rare interaction with the healthcare system enabling syphilis testing and treatment, and prevention of future CS-related adverse outcomes.

OBJECTIVE: We examined whether relative availability of fast-food restaurants and supermarkets mediates the association between worse neighborhood socioeconomic conditions and risk of developing type 2 diabetes (T2D). RESEARCH DESIGN AND METHODS: As part of the Diabetes Location, Environmental Attributes, and Disparities Network, three academic institutions used harmonized environmental data sources and analytic methods in three distinct study samples: (1) the Veterans Administration Diabetes Risk (VADR) cohort, a national administrative cohort of 4.1 million diabetes-free veterans developed using electronic health records (EHRs); (2) Reasons for Geographic and Racial Differences in Stroke (REGARDS), a longitudinal, epidemiologic cohort with Stroke Belt region oversampling (N = 11,208); and (3) Geisinger/Johns Hopkins University (G/JHU), an EHR-based, nested case-control study of 15,888 patients with new-onset T2D and of matched control participants in Pennsylvania. A census tract-level measure of neighborhood socioeconomic environment (NSEE) was developed as a community type-specific z-score sum. Baseline food-environment mediators included percentages of (1) fast-food restaurants and (2) food retail establishments that are supermarkets. Natural direct and indirect mediating effects were modeled; results were stratified across four community types: higher-density urban, lower-density urban, suburban/small town, and rural. RESULTS: Across studies, worse NSEE was associated with higher T2D risk. In VADR, relative availability of fast-food restaurants and supermarkets was positively and negatively associated with T2D, respectively, whereas associations in REGARDS and G/JHU geographies were mixed. Mediation results suggested that little to none of the NSEE-diabetes associations were mediated through food-environment pathways. CONCLUSIONS: Worse neighborhood socioeconomic conditions were associated with higher T2D risk, yet associations are likely not mediated through food-environment pathways.

If current population trends continue, the U.S. population will be a “majority minority” nation in 2044 according to a report by the Brookings Institution (Frey, 2014). Based on the United States Census Bureau projections, the non-Hispanic White population will decrease by 9.5% from 2016 (61.3%) to 2060 (44.3%; Vespa et al., 2020). In 2060, those who self-identify as White will make up 68.0% (44.3% self-identifying as non-Hispanic White) of the population; these percentages are 15.0% for Black people, 9.1% for Asian people, 1.4% for American Indian and Alaska Native people, 0.3% for Native Hawaiian and Other Pacific Islander people, and 6.2% for multiracial people (Vespa et al., 2020). Hispanic people will comprise 27.5% of the population (Vespa et al., 2020). These changing demographics have implications for the practice of public health and medicine, and the composition of the workforce. Foremost in responding to the needs of an increasingly diverse U.S. population is attaining a racially and ethnically diverse workforce at the organizational and systems levels. This diverse workforce, inclusive of interdisciplinary perspectives, would need to be culturally responsive and structurally competent to inform strategies for effective public health data and action (Hansen & Metzl, 2016). Coronado et al. (2020) contend “Public health agencies that employ a diverse workforce are better positioned to implement targeted approaches in communities where they are needed, create systems to support those needs, and supply a greater variety of effective solutions to help address health disparities” (p. 390). Intentional and progressive pedagogy is needed to ensure an educational pathway for currently underrepresented students to pursue careers in public health, medicine, and other health-related fields.

IMPORTANCE: Diabetes causes substantial morbidity and mortality among adults in the US, yet its incidence varies across the country, suggesting that neighborhood factors are associated with geographical disparities in diabetes. OBJECTIVE: To examine the association between neighborhood food environment and risk of incident type 2 diabetes across different community types (high-density urban, low-density urban, suburban, and rural). DESIGN, SETTING, AND PARTICIPANTS: This is a national cohort study of 4 100 650 US veterans without type 2 diabetes. Participants entered the cohort between 2008 and 2016 and were followed up through 2018. The median (IQR) duration of follow-up was 5.5 (2.6-9.8) person-years. Data were obtained from Veterans Affairs electronic health records. Incident type 2 diabetes was defined as 2 encounters with type 2 diabetes International Classification of Diseases, Ninth Revision or Tenth Revision codes, a prescription for diabetes medication other than metformin or acarbose alone, or 1 encounter with type 2 diabetes International Classification of Diseases Ninth Revision or Tenth Revision codes and 2 instances of elevated hemoglobin A1c (≥6.5%). Data analysis was performed from October 2020 to March 2021. EXPOSURES: Five-year mean counts of fast-food restaurants and supermarkets relative to other food outlets at baseline were used to generate neighborhood food environment measures. The association between food environment and time to incident diabetes was examined using piecewise exponential models with 2-year interval of person-time and county-level random effects stratifying by community types. RESULTS: The mean (SD) age of cohort participants was 59.4 (17.2) years. Most of the participants were non-Hispanic White (2 783 756 participants [76.3%]) and male (3 779 555 participants [92.2%]). The relative density of fast-food restaurants was positively associated with a modestly increased risk of type 2 diabetes in all community types. The adjusted hazard ratio (aHR) was 1.01 (95% CI, 1.00-1.02) in high-density urban communities, 1.01 (95% CI, 1.01-1.01) in low-density urban communities, 1.02 (95% CI, 1.01-1.03) in suburban communities, and 1.01 (95% CI, 1.01-1.02) in rural communities. The relative density of supermarkets was associated with lower type 2 diabetes risk only in suburban (aHR, 0.97; 95% CI, 0.96-0.99) and rural (aHR, 0.99; 95% CI, 0.98-0.99) communities. CONCLUSIONS AND RELEVANCE: These findings suggest that neighborhood food environment measures are associated with type 2 diabetes among US veterans in multiple community types and that food environments are potential avenues for action to address the burden of diabetes. Tailored interventions targeting the availability of supermarkets may be associated with reduced diabetes risk, particularly in suburban and rural communities, whereas restrictions on fast-food restaurants may help in all community types.

The COVID-19 pandemic impacted STD services. Of 59 U.S.-funded STD programs, 91% reported a great deal to moderate impact from staff reassignment in April 2020, with 28% of respondents reporting permanent reassignment of DIS staff. Telemedicine was implemented in 44%. Decreases in STD case reports were reported by most jurisdictions.

BACKGROUND: The persistence of congenital syphilis (CS) remains an important concern in the United States. We use 2018 data to refine a previous predictive model that identifies US counties at elevated risk for CS in 2018. METHODS: Using county-level socioeconomic and health related data from various sources, we developed a logistic regression predictive model to identify county-level factors associated with a county having had ≥1 CS case reported to the National Notifiable Diseases Surveillance System in 2018. We developed a risk scoring algorithm, identified the optimal risk-score cut-point to identify counties at elevated risk, and calculated the live birth to CS case-ratio for counties by predicted risk level to compare counties at elevated risk with counties not at elevated risk. RESULTS: We identified several county-level factors associated with a county having ≥1 CS case in 2018 (area under the curve: 88.6%; Bayesian information criterion: 1551.1). Using a risk score cut-off of ≥8 (sensitivity: 83.2%, specificity: 79.4%), this model captured 94.7% (N = 1,253) of CS cases born in 2018 and identified 850 (27%) counties as being at elevated risk for CS. The live birth to CS case-ratio was lower in counties identified as at elevated risk (2,482) compared to counties categorized as not at elevated risk (10,621). CONCLUSIONS: Identifying which counties are at highest risk for CS can help target prevention efforts and interventions. The relatively low live birth to CS case-ratio in elevated risk counties suggests that implementing routine 28-week screening among pregnant women in these counties may be an efficient way to target CS prevention efforts.

BACKGROUND: Multiple severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreaks occurred at universities during Fall 2020, but little is known about risk factors for campus-associated infections or immunity provided by anti-SARS-CoV-2 antibodies in young adults. METHODS: We conducted surveys and serology tests among students living in dormitories in September and November to examine infection risk factors and antibody presence. Using campus weekly reverse-transcription polymerase chain reaction (RT-PCR) test results, the relationship between survey responses, SARS-CoV-2 antibodies, and infections was assessed. RESULTS: Of 6136 students, 1197 completed the survey and 572 also completed serologic testing in September compared with 517 and 414 in November, respectively. Participation in fraternity or sorority events (adjusted risk ratio [aRR], 1.9 [95% confidence interval {CI}, 1.4-2.5]) and frequent alcohol consumption (aRR, 1.6 [95% CI, 1.2-2.2]) were associated with SARS-CoV-2 infection. Mask wearing during social events (aRR, 0.6 [95% CI, .6-1.0]) was associated with decreased risk. None of the 20 students with antibodies in September tested positive for SARS-CoV-2 during the semester, while 27.8% of students who tested RT-PCR positive tested negative for antibodies in November. CONCLUSIONS: Frequent drinking and attending social events were associated with SARS-CoV-2 infection. Antibody presence in September appeared to be protective from reinfection, but this finding was not statistically significant.

BACKGROUND AND OBJECTIVES: During 2014-2018, reported congenital syphilis (CS) cases in the United States increased 183%, from 462 to 1306 cases. We reviewed infants diagnosed with CS beyond the neonatal period (>28 days) during this time. METHODS: We reviewed surveillance case report data for infants with CS delivered during 2014-2018 and identified those diagnosed beyond the neonatal period with reported signs or symptoms. We describe these infants and identify possible missed opportunities for earlier diagnoses. RESULTS: Of the 3834 reported cases of CS delivered during 2014-2018, we identified 67 symptomatic infants diagnosed beyond the neonatal period. Among those with reported findings, 67% had physical examination findings of CS, 69% had abnormal long-bone radiographs consistent with CS, and 36% had reactive syphilis testing in the cerebrospinal fluid. The median serum nontreponemal titer was 1:256 (range: 1:1-1:2048). The median age at diagnosis was 67 days (range: 29-249 days). Among the 66 mothers included, 83% had prenatal care, 26% had a syphilis diagnosis during pregnancy or at delivery, and 42% were not diagnosed with syphilis until after delivery. Additionally, 24% had an initial negative test result and seroconverted during pregnancy. CONCLUSIONS: Infants with CS continue to be undiagnosed at birth and present with symptoms after age 1 month. Pediatric providers can diagnose and treat infants with CS early by following guidelines, reviewing maternal records and confirming maternal syphilis status, advocating for maternal testing at delivery, and considering the diagnosis of CS, regardless of maternal history.

Congenital syphilis (CS) is on the rise in the United States and is a growing public health concern. CS is an infection with Treponema pallidum in an infant or fetus, acquired via transplacental transmission when a pregnant woman has untreated or inadequately treated syphilis. Pregnant women with untreated syphilis are more likely to experience pregnancies complicated by stillbirth, prematurity, low birth weight, and early infant death, while their children can develop clinical manifestations of CS such as hepatosplenomegaly, bone abnormalities, developmental delays, and hearing loss. One of the ways CS can be prevented is by identifying and treating infected women during pregnancy with a benzathine penicillin G regimen that is both appropriate for the maternal stage of syphilis and initiated at least 30 days prior to delivery. In this article we discuss many of the challenges faced by both public health and healthcare systems with regards to this preventable infection, summarize missed opportunities for CS prevention, and provide practical solutions for future CS prevention strategies.

Case investigation and contact tracing are core public health tools used to interrupt transmission of pathogens, including SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19); timeliness is critical to effectiveness (1,2). In May 2020, CDC funded* 64 state, local, and territorial health departments(†) to support COVID-19 response activities. As part of the monitoring process, case investigation and contact tracing metrics for June 25-July 24, 2020, were submitted to CDC by 62 health departments. Descriptive analyses of case investigation and contact tracing load, timeliness, and yield (i.e., the number of contacts elicited divided by the number of patients prioritized for interview) were performed. A median of 57% of patients were interviewed within 24 hours of report of the case to a health department (interquartile range [IQR] = 27%-82%); a median of 1.15 contacts were identified per patient prioritized for interview(§) (IQR = 0.62-1.76), and a median of 55% of contacts were notified within 24 hours of identification by a patient (IQR = 32%-79%). With higher caseloads, the percentage of patients interviewed within 24 hours of case report was lower (Spearman coefficient = -0.68), and the number of contacts identified per patient prioritized for interview also decreased (Spearman coefficient = -0.60). The capacity to conduct timely contact tracing varied among health departments, largely driven by investigators' caseloads. Incomplete identification of contacts affects the ability to reduce transmission of SARS-CoV-2. Enhanced staffing capacity and ability and improved community engagement could lead to more timely interviews and identification of more contacts.