Life-Space Mobility, Transportation, and the Companionship Network of Members of a Hispanic Senior Center.

OBJECTIVES: Companions (i.e., friends who spend time together) are important for the well-being of older adults. Senior centers in the United States are places for older adults to participate in group activities and form and maintain companionships. However, differences in mobility and transportation may affect the ability of older adults to leverage senior center activities into actual companionships. METHODS: This social network analysis was conducted to characterize the companionship network among members of a senior center in relation to their life-space mobility and transportation resources. An exponential random graph model was estimated to identify mobility- and transportation-related correlates of the likelihood of a companionship tie among senior center members (N = 42). RESULTS: Members had an average of 2 companionships with one another (M = 2.2, SD = 2.7). Companionships were more likely for members with greater life-space mobility (p = .009), who attended the senior center more frequently (p = .004), with automobile ownership in their households (p = .034), and who were not transportation cost-burdened (i.e., spent less than 15% of their income on transportation, p = .005). Demographic characteristics, limitations on instrumental activities of daily living, and being at risk for depression were not significantly associated with the likelihood of companionships. DISCUSSION: These findings extend previous knowledge of the role of life-space mobility and transportation in supporting general social participation for older adults to include the importance of transportation and mobility for having companions within a senior center.

Racial/ethnic disparities in the association between patient care experiences and receipt of initial surgical breast cancer care: findings from SEER-CAHPS.

PURPOSE: We determined whether racial/ethnic differences in patient experiences with care influence timeliness and type of initial surgical breast cancer treatment for a sample of female Medicare cancer patients. METHODS: We conducted a retrospective cohort study using the linked Epidemiology and End Results-Consumer Assessment of Healthcare Providers and Systems (SEER-CAHPS) dataset. The outcomes were: (1) time-to-initial surgical treatment, and (2) type of treatment [breast conserving surgery (BCS) vs. mastectomy]. The indicators were reports of four types of patient experiences with care including doctor communication, getting care quickly, getting needed care, and getting needed Rx. Interaction terms in each multivariable logistic model examined if the associations varied by race/ethnicity. RESULTS: Of the 2069 patients, 84.6% were White, 7.6% Black and 7.8% Hispanic. After adjusting for potential confounders, non-Hispanic Black patients who provided excellent reports of their ability to get needed prescriptions had lower odds of receiving surgery within 2-months of diagnosis, compared to NH-Whites who provided less than excellent reports (aOR: 0.29, 95% CI 0.09-0.98). There were no differences based on 1-month or 3-month thresholds. We found no other statistically significant effect of race/ethnicity. As to type of surgery, among NH Blacks, excellent reports of getting care quickly were associated with higher odds of receiving BCS versus mastectomy (aOR: 2.82, 95% CI 1.16-6.85) compared to NH Whites with less than excellent reports. We found no other statistically significant differences by race/ethnicity. CONCLUSION: Experiences with care are measurable and modifiable factors that can be used to assess and improve aspects of patient-centered care. Improvements in patient care experiences of older adults with cancer, particularly among minorities, may help to eliminate racial/ethnic disparities in timeliness and type of surgical treatment.

Collaboration and growth in a large research cooperative: A network analytic approach.

Research networks encourage team science and facilitate collaboration within and across research teams. While many analyses have examined the output of these collaborative networks (e.g., authorship networks, publications, grant applications), less attention has been paid to the formative phases of these initiatives. This article presents analyses of a whole-network survey of investigators participating in a new research initiative, and examines the development of collaborative ties over the network's first year. In particular, we examine the influence of research center affiliation, seniority, and prior network experience on the number and structure of collaborative ties, including participants' bridging and broker roles. Such analyses can inform the overall management of the project in purposefully promoting new collaboration opportunities, and may ultimately predict the number of collaborative products generated by the network members.

Beyond scale-free networks: integrating multilayer social networks with molecular clusters in the local spread of COVID-19.

This study evaluates the scale-free network assumption commonly used in COVID-19 epidemiology, using empirical social network data from SARS-CoV-2 Delta variant molecular local clusters in Houston, Texas. We constructed genome-informed social networks from contact and co-residence data, tested them for scale-free power-law distributions that imply highly connected hubs, and compared them to alternative models (exponential, log-normal, power-law with exponential cutoff, and Weibull) that suggest more evenly distributed network connections. Although the power-law model failed the goodness of fit test, after incorporating social network ties, the power-law model was at least as good as, if not better than, the alternatives, implying the presence of both hub and non-hub mechanisms in local SARS-CoV-2 transmission. These findings enhance our understanding of the complex social interactions that drive SARS-CoV-2 transmission, thereby informing more effective public health interventions.

Impact of post-incarceration care engagement interventions on HIV transmission among young Black men who have sex with men and their sexual partners: an agent-based network modeling study.

Background: Understanding the impact of incarceration on HIV transmission among Black men who have sex with men is important given their disproportionate representation among people experiencing incarceration and the potential impact of incarceration on social and sexual networks, employment, housing, and medical care. We developed an agent-based network model (ABNM) of 10,000 agents representing young Black men who have sex with men in the city of Chicago to examine the impact of varying degrees of post-incarceration care disruption and care engagement interventions following release from jail on HIV incidence. Methods: Exponential random graph models were used to model network formation and dissolution dynamics, and network dynamics and HIV care continuum engagement were varied according to incarceration status. Hypothetical interventions to improve post-release engagement in HIV care for individuals with incarceration (e.g., enhanced case management, linkage to housing and employment services) were compared to a control scenario with no change in HIV care engagement after release. Finding: HIV incidence at 10 years was 4.98 [95% simulation interval (SI): 4.87, 5.09 per 100 person-years (py)] in the model population overall; 5.58 (95% SI 5.38, 5.76 per 100 py) among those with history of incarceration, and 12.86 (95% SI 11.89, 13.73 per 100 py) among partners of agents recently released from incarceration. Sustained post-release HIV care for agents with HIV and experiencing recent incarceration resulted in a 46% reduction in HIV incidence among post-incarceration partners [incidence rate (IR) per 100 py = 5.72 (95% SI 5.19, 6.27) vs. 10.61 (95% SI 10.09, 11.24); incidence rate ratio (IRR) = 0.54; (95% SI 0.48, 0.60)] and a 19% reduction in HIV incidence in the population overall [(IR per 100 py = 3.89 (95% SI 3.81-3.99) vs. 4.83 (95% SI 4.73, 4.92); IRR = 0.81 (95% SI 0.78, 0.83)] compared to a scenario with no change in HIV care engagement from pre-to post-release. Interpretation: Developing effective and scalable interventions to increase HIV care engagement among individuals experiencing recent incarceration and their sexual partners is needed to reduce HIV transmission among Black men who have sex with men. Funding: This work was supported by the following grants from the National Institutes of Health: R01DA039934; P20 GM 130414; P30 AI 042853; P30MH058107; T32 DA 043469; U2C DA050098 and the California HIV/AIDS Research Program: OS17-LA-003; H21PC3466.

Comorbidity network analysis using graphical models for electronic health records.

Importance: The comorbidity network represents multiple diseases and their relationships in a graph. Understanding comorbidity networks among critical care unit (CCU) patients can help doctors diagnose patients faster, minimize missed diagnoses, and potentially decrease morbidity and mortality. Objective: The main objective of this study was to identify the comorbidity network among CCU patients using a novel application of a machine learning method (graphical modeling method). The second objective was to compare the machine learning method with a traditional pairwise method in simulation. Method: This cross-sectional study used CCU patients' data from Medical Information Mart for the Intensive Care-3 (MIMIC-3) dataset, an electronic health record (EHR) of patients with CCU hospitalizations within Beth Israel Deaconess Hospital from 2001 to 2012. A machine learning method (graphical modeling method) was applied to identify the comorbidity network of 654 diagnosis categories among 46,511 patients. Results: Out of the 654 diagnosis categories, the graphical modeling method identified a comorbidity network of 2,806 associations in 510 diagnosis categories. Two medical professionals reviewed the comorbidity network and confirmed that the associations were consistent with current medical understanding. Moreover, the strongest association in our network was between "poisoning by psychotropic agents" and "accidental poisoning by tranquilizers" (logOR 8.16), and the most connected diagnosis was "disorders of fluid, electrolyte, and acid-base balance" (63 associated diagnosis categories). Our method outperformed traditional pairwise comorbidity network methods in simulation studies. Some strongest associations between diagnosis categories were also identified, for example, "diagnoses of mitral and aortic valve" and "other rheumatic heart disease" (logOR: 5.15). Furthermore, our method identified diagnosis categories that were connected with most other diagnosis categories, for example, "disorders of fluid, electrolyte, and acid-base balance" was associated with 63 other diagnosis categories. Additionally, using a data-driven approach, our method partitioned the diagnosis categories into 14 modularity classes. Conclusion and relevance: Our graphical modeling method inferred a logical comorbidity network whose associations were consistent with current medical understanding and outperformed traditional network methods in simulation. Our comorbidity network method can potentially assist CCU doctors in diagnosing patients faster and minimizing missed diagnoses.

Prevalence, Incidence, and Predictors of Kaposi Sarcoma-associated Herpesvirus Infection Among Young Men Who Have Sex with Men in the Southern United States.

Kaposi Sarcoma (KS) continues to cause substantial morbidity and mortality in populations at risk in the southern US. Utilizing biospecimens from the Houston site of the Young Men's Affiliate Project, 351 men who have sex with men had blood tested for Kaposi Sarcoma-associated herpesvirus (KSHV) IgG. Measuring seroprevalence, seroconversion between timepoints, and demographic and clinical correlates, KSHV prevalence was 36.7% and incidence was 8.9 per 100 person-years, prevalence and incidence were higher among Black individuals, people living with HIV, and those with a history of syphilis. Further research on KSHV risk may improve health disparities in KS diagnosis and outcomes.

Association between E-Cigarette Use Behaviors and Anxiety/Depression among Black/African American Adults Based on Sexual Identity.

Limited studies have examined disparities in e-cigarette use among Black/African American adults by sexual identity and whether the relationship between symptoms of anxiety/depression and e-cigarette use varies by sexual identity. We examined the association between e-cigarette use behaviors (never, former, and current use) and anxiety/depression among a nationally representative sample of Black/African American adults who identified as a sexual minority (lesbian/gay, bisexual, and others) or heterosexual individuals. We combined cross-sectional data from the 2011 to 2020 Health Information National Trends Survey (n = 6267), which is a nationally representative data set. We computed weighted e-cigarette use prevalence and multinomial logistic regression results (never use compared with former and current use, respectively). Among Blacks/African Americans, a larger percentage of sexual minority individuals compared with heterosexual individuals reported former and current e-cigarette use. Among sexual minorities, lesbian/gay individuals reported higher former e-cigarette use, whereas bisexual individuals reported higher current e-cigarette use. Among sexual minority individuals, moderate symptoms of anxiety/depression, compared with no symptoms of anxiety/depression, were associated with a higher likelihood of former e-cigarette use. Among heterosexuals, moderate symptoms of anxiety/depression were also associated with a higher likelihood of former e-cigarette use, while mild and severe symptoms of anxiety/depression were associated with current e-cigarette use compared with no symptoms of anxiety/depression. The intersection between sexual identity and anxiety/depression influenced e-cigarette use behaviors in different ways among Black/African Americans. The findings reinforce the heterogeneity within the Black/African American population, indicating the dangers of not considering subgroup differences as a standard part of public health research practice.

Are human papillomavirus knowledge and vaccine uptake associated with HIV status and social determinants of health in young sexual minority men?

This brief report examines the relationship, if any, between human immunodeficiency virus (HIV) status, and individual-level and socio-sexual partner-level factors of social determinants of health (SDOH) that are associated with human papillomavirus (HPV) knowledge and vaccine uptake in young sexual minority men (YSMM). We used data from 126 YSMM recruited by network-based sampling during 2015-2016 in Houston, Texas. Descriptive statistics and regression analyses were conducted to test the association between HIV status, SDOH, and HPV knowledge and vaccine uptake. Those living with HIV had lower odds of knowledge of HPV-associated anal cancer (OR: 0.43, 95% CI: 0.18-0.97) and knowledge of HPV spreading via sexual contact (OR: 0.11, 95% CI: 0.01-0.64), and higher odds of HPV vaccine uptake (OR: 2.90, 95% CI: 1.11-8.02). HPV knowledge and vaccine uptake in YSMM was not associated with partner's attributes or individuals' SDOH factors in our study yet was significantly associated with HIV status. Future interventions are needed to increase HPV knowledge among individuals living with HIV and vaccine uptake particularly among YSMM living without HIV that are not engaged in healthcare.

Predictors of HIV Molecular Cluster Membership and Implications for Partner Services.

Public health surveillance data used in HIV molecular cluster analyses lack contextual information that is available from partner services (PS) data. Integrating these data sources in retrospective analyses can enrich understanding of the risk profile of people in clusters. In this study, HIV molecular clusters were identified and matched to information on partners and other information gleaned at the time of diagnosis, including coinfection with syphilis. We aimed to produce a more complete understanding of molecular cluster membership in Houston, Texas, a city ranking ninth nationally in rate of new HIV diagnoses that may benefit from retrospective matched analyses between molecular and PS data to inform future intervention. Data from PS were matched to molecular HIV records of people newly diagnosed from 2012 to 2018. By conducting analyses in HIV-TRACE (TRAnsmission Cluster Engine) using viral genetic sequences, molecular clusters were detected. Multivariable logistic regression models were used to estimate the association between molecular cluster membership and completion of a PS interview, number of named partners, and syphilis coinfection. Using data from 4,035 people who had a viral genetic sequence and matched PS records, molecular cluster membership was not significantly associated with completion of a PS interview. Among those with sequences who completed a PS interview (n = 3,869), 45.3% (n = 1,753) clustered. Molecular cluster membership was significantly associated with naming 1 or 3+ partners compared with not naming any partners [adjusted odds ratio, aOR: 1.27 (95% confidence interval, CI: 1.08-1.50), p = .003 and aOR: 1.38 (95% CI: 1.06-1.81), p = .02]. Alone, coinfection with syphilis was not significantly associated with molecular cluster membership. Syphilis coinfection was associated with molecular cluster membership when coupled with incarceration [aOR: 1.91 (95% CI: 1.08-3.38), p = .03], a risk for treatment interruption. Enhanced intervention among those with similar profiles, such as people coinfected with other risks, may be warranted.

Ending the HIV Epidemic: Identifying Barriers and Facilitators to Implement Molecular HIV Surveillance to Develop Real-Time Cluster Detection and Response Interventions for Local Communities.

The rapid implementation of molecular HIV surveillance (MHS) has resulted in significant challenges for local health departments to develop real-time cluster detection and response (CDR) interventions for priority populations impacted by HIV. This study is among the first to explore professionals' strategies to implement MHS and develop CDR interventions in real-world public health settings. Methods: Semi-structured qualitative interviews were completed by 21 public health stakeholders in the United States' southern and midwestern regions throughout 2020-2022 to identify themes related to the implementation and development of MHS and CDR. Results for the thematic analysis revealed (1) strengths and limitations in utilizing HIV surveillance data for real-time CDR; (2) limitations of MHS data due to medical provider and staff concerns related to CDR; (3) divergent perspectives on the effectiveness of partner services; (4) optimism, but reluctance about the social network strategy; and (5) enhanced partnerships with community stakeholders to address MHS-related concerns. Conclusions: Enhancing MHS and CDR efforts requires a centralized system for staff to access public health data from multiple databases to develop CDR interventions; designating staff dedicated to CDR interventions; and establishing equitable meaningful partnerships with local community stakeholders to address MHS concerns and develop culturally informed CDR interventions.

Sexual Behaviors and Human Papillomavirus Vaccination in a Heterosexually Active Adult Population at Increased Risk for HIV Infection.

Human papillomavirus (HPV) is the most common sexually acquired infection in the US. Vaccination is effective against infection with high-risk HPV strains, yet HPV vaccine coverage is lower in the US than the national target. This study aimed to determine the relationship between sexual behaviors and HPV vaccination in a heterosexually active population at increased risk for HIV infection. Data from 380 participants aged 18-45 years obtained from the National HIV Behavioral Surveillance system increased risk heterosexuals cycle 5 (2019) in Houston, Texas, was analyzed. RDS-Analyst was used to generate population-based descriptive statistics. Modified Poisson regression models clustered on recruitment chain were conducted in SAS 9.4 to assess the relationship between sexual behaviors and HPV vaccination. Only 11.5% of participants had received at least one dose of the HPV vaccine. Regarding behaviors within the past 12 months, 44.8% reported having condomless casual sex, 51.3% reported having concurrent sexual partnerships while in their most recent relationship, 14.5% reported exchanging sex, and participants had an average of 4-5 sex partners. Further, those who exchanged sex had a significantly lower prevalence of HPV vaccine uptake when compared to those who did not exchange sex (adjusted prevalence ratio 0.23; confidence interval 0.10-0.52), while all other measures of sexual behavior were not significantly associated with HPV vaccination. More research is needed to understand the relationship between exchange sex and low prevalence of vaccination, specifically in women who bear the highest burden of poor HPV-related morbidity and mortality.

Expanding Medicaid to Reduce Human Immunodeficiency Virus Transmission in Houston, Texas: Insights From a Modeling Study.

CONTEXT: Medicaid expansion has been nationally shown to improve engagement in the human immunodeficiency virus (HIV) treatment and prevention continua, which are vital steps to stopping the HIV epidemic. New HIV infections in the United States are disproportionately concentrated among young Black men who have sex with men (YBMSM). Houston, TX, is the most populous city in the Southern United States with a racially/ethnically diverse population that is located in 1 of 11 US states that have not yet expanded Medicaid coverage as of 2021. METHODS: An agent-based model that incorporated the sexual networks of YBMSM was used to simulate improved antiretroviral treatment and pre-exposure prophylaxis (PrEP) engagement through Medicaid expansion in Houston, TX. Analyses considered the HIV incidence (number of new infections and as a rate metric) among YBMSM over the next 10 years under Medicaid expansion as the primary outcome. Additional scenarios, involving viral suppression and PrEP uptake above the projected levels achieved under Medicaid expansion, were also simulated. RESULTS: The baseline model projected an HIV incidence rate of 4.96 per 100 person years (py) and about 368 new annual HIV infections in the 10th year. Improved HIV treatment and prevention continua engagement under Medicaid expansion resulted in a 14.9% decline in the number of annual new HIV infections in the 10th year. Increasing viral suppression by an additional 15% and PrEP uptake by 30% resulted in a 44.0% decline in new HIV infections in the 10th year, and a 27.1% decline in cumulative infections across the 10 years of the simulated intervention. FINDINGS: Simulation results indicate that Medicaid expansion has the potential to reduce HIV incidence among YBMSM in Houston. Achieving HIV elimination objectives, however, might require additional effective measures to increase antiretroviral treatment and PrEP uptake beyond the projected improvements under expanded Medicaid.

Association between e-cigarette use behaviors and perceived harmfulness of e-cigarettes and anxiety/depression symptoms among Black/African American Adults.

Black/African American adults are at greater risk of experiencing negative health outcomes stemming from tobacco use, yet little research has examined e-cigarette use behavior in the Black/African American adult-only population. We examined the association between e-cigarette use behaviors (never, former, and current use) and perceived harmfulness of e-cigarette use and anxiety/depression symptoms among Black/African American adults. This cross-sectional study was a secondary analysis of nationally representative data from the 2011-2020 Health Information National Trends Survey (n = 6,268). Multinomial logit models were used to examine differences in e-cigarette use behaviors (reference group = never used e-cigarettes), given the risk factors named above. The prevalence of former and current e-cigarette use among Blacks/African Americans was 11.65 % and 3.52 %, respectively. There was a significant interaction between the perceived harmfulness of e-cigarette use and anxiety/depression. Moderate or severe anxiety/depression symptoms were associated with a higher likelihood of current e-cigarette use, but not former e-cigarette use. Compared to individuals who perceived e-cigarette use as less harmful than smoking cigarettes, those who perceived e-cigarette use as just as harmful were less likely to be current e-cigarette users. Those who perceived e-cigarette use as more harmful or were uncertain were less likely to be former or current e-cigarette users. Anxiety/depression and perceived harmfulness of e-cigarette use and their interactions were significantly associated with e-cigarette use behaviors. These findings provide an opportunity to offer tobacco cessation and prevention interventions to subgroups in this population and inform development of content for the same.

Factors associated with HIV testing and treatment among young Black MSM and trans women in three jail systems.

Black men who have sex with men (BMSM) and transgender women (BTW) are disproportionately affected by incarceration and HIV. We assessed factors associated with HIV testing and viral suppression among 176 incarcerated BMSM and BTW in Chicago, IL; Los Angeles, CA; and Houston, TX. In multivariable logistic regression, having a sexual orientation of bisexual, heterosexual, or other vs. gay or same-gender loving was associated with higher odds of testing in custody (aOR 8.97; 95% CI 1.95 - 41.24). Binge drinking (aOR 0.19; 95% CI 0.04 - 0.92) and being unemployed prior to incarceration (aOR 0.03; 95% CI 0.00 - 0.23) were associated with lower odds of testing; participants in Los Angeles were also more likely to be tested than those in Chicago. Being housed in protective custody (aOR 3.12; 95% CI 1.09-9.59) and having a prescription for ART prior to incarceration (aOR 2.58; 95% CI 1.01-6.73) were associated with higher odds of viral suppression when adjusted for site and duration of incarceration, though the associations were not statistically significant in the full multivariable model. Future research should examine structural and process level factors that impact engagement in HIV testing and treatment among detained BMSM and BTW.

Regional transmission patterns of carbapenemase-producing Enterobacterales: A healthcare network analysis.

OBJECTIVE: Carbapenem-resistant Enterobacterales (CRE) pose a serious public health threat and spread rapidly between healthcare facilities (HCFs) during interfacility patient movement. We examined patterns of transmission of CRE associated with network clustering and positions during patient interfacility transfer. METHODS: A retrospective cohort study was conducted in the Greater Houston region ofTexas, , and social network analysis was performed by constructing facility-to-facility patient transfer network using CRE surveillance data. The network method (community detection algorithm) was used to detect clustering patterns of CRE in the network. In addition, network measures of centrality and local connectivity (clustering coefficient) were computed for each healthcare facility. Zero-inflated negative binomial regression analysis was applied to test the association between network measures and facility-specific incidence rate of CRE. RESULTS: A network of 268 healthcare facilities was identified, in which 10 acute-care hospitals (ACHs) alone accounted for 63% of identified CRE cases. Transmission of New Delhi metallo-ß-lactamase-producing CRE occurred in 3 clusters, yet all cases were traced to patients who had had medical care abroad. The incidence rate of CRE attributed to ACHs was >4-fold (adjusted rate ratio, 4.5; 95% confidence interval [CI], 3.02-6.72) higher than that of long-term care facilities. Each additional patient shared with another HCF conferred a 3% (95% CI, 2%-4%) increase in the incidence rate of CRE at that HCF. CONCLUSIONS: The incidence rates of CRE at a given HCF was predicted by the healthcare network metrics. Increased surveillance and selective targeting of high-risk facilities are warranted.

Do breast cancer survivors with a recent history of clinical depression report worse experiences with care? A retrospective cohort study using SEER-CAHPS data.

PURPOSE: We examined whether breast cancer survivors' experiences with care differed by a recent history of clinical depression, and whether associations differed by race/ethnicity. METHODS: Using the Epidemiology and End Results-Consumer Assessment of Healthcare Providers and Systems (SEER-CAHPS) dataset, we analyzed records of breast cancer survivors who completed a survey at least 12 months after their cancer diagnosis. We assessed clinical depression 12 months prior to survey completion using Medicare claims. We used separate multivariable logistic regressions to examine the associations between depression and excellent (vs. less than excellent) ratings of experiences with care (i.e., doctor communication, getting needed care, getting care quickly, getting prescription drugs, specialist and overall care). We also assessed interactions of depression by race/ethnicity. All models were adjusted for demographics and cancer prognostic and treatment factors. RESULTS: Of the 2271 survivors, 7.6% were clinically depressed. After adjusting for covariates, survivors with clinical depression had lower odds of reporting excellent ratings of their ability to get needed care, care by their specialist, and overall care, compared to those without depression (AOR = 0.58, 95% CI: 0.40-0.84; AOR = 0.40, CI: 0.31-0.76; and AOR = 0.61, CI: 0.42-0.89, respectively). Among Hispanics, having depression was associated with higher odds of excellent ratings of one's ability to get needed care (AOR: 5.42, 95% CI: 1.02-28.81). No other statistically significant associations by race/ethnicity were found. CONCLUSIONS: Breast cancer survivors with depression report poorer patient experiences with care. Further research is needed to understand complexities of ratings of experiences with care among survivors of diverse backgrounds. IMPLICATIONS: Survivors with a recent history of clinical depression may benefit from additional supportive care services.

"Everything Fell Apart Once COVID-19 Hit"-Leveraging the COVID-19 Response to Strengthen Public Health Activities toward Ending the HIV Epidemic: A Qualitative Study.

COVID-19 caused widespread disruption of activities for Ending the HIV Epidemic (EHE). In this study we assessed public health perspectives on leveraging the COVID-19 response to advance the goals of EHE. We conducted a qualitative study with 33 public health partners in the Midwestern and Southern United States from October 2020 to February 2022. Participants were asked how the strategies developed for COVID-19 could be applied to the HIV epidemic. Interviews were recorded, transcribed, and examined using rapid qualitative analysis. Four themes emerged: (1) Rebuilding teams and adapting culture for success in EHE activities; (2) Recognizing and modernizing the role of disease intervention specialists (DIS); (3) Enhanced community awareness of the public health role in disease response and prevention; and (4) Leveraging COVID-19 data systems and infrastructure for EHE activities. The COVID-19 pandemic called attention to the dearth of public health funding and outdated information technology (IT) infrastructure used for HIV activities. It also led to greater public health knowledge, including increased familiarity with partner services and molecular epidemiology of HIV, and opportunities to develop new data systems for surveillance that can be applied to efforts for EHE.

Impact of molecular sequence data completeness on HIV cluster detection and a network science approach to enhance detection.

Detection of viral transmission clusters using molecular epidemiology is critical to the response pillar of the Ending the HIV Epidemic initiative. Here, we studied whether inference with an incomplete dataset would influence the accuracy of the reconstructed molecular transmission network. We analyzed viral sequence data available from ~ 13,000 individuals with diagnosed HIV (2012-2019) from Houston Health Department surveillance data with 53% completeness (n = 6852 individuals with sequences). We extracted random subsamples and compared the resulting reconstructed networks versus the full-size network. Increasing simulated completeness was associated with an increase in the number of detected clusters. We also subsampled based on the network node influence in the transmission of the virus where we measured Expected Force (ExF) for each node in the network. We simulated the removal of nodes with the highest and then lowest ExF from the full dataset and discovered that 4.7% and 60% of priority clusters were detected respectively. These results highlight the non-uniform impact of capturing high influence nodes in identifying transmission clusters. Although increasing sequence reporting completeness is the way to fully detect HIV transmission patterns, reaching high completeness has remained challenging in the real world. Hence, we suggest taking a network science approach to enhance performance of molecular cluster detection, augmented by node influence information.

Clinical Outcomes Associated with Co-infection of Carbapenem-Resistant Enterobacterales and other Multidrug-Resistant Organisms.

Background: Infections with carbapenem-resistant Enterobacterales (CRE) are associated with increased risk of death. Polymicrobial infections with antimicrobial-resistance may add to the burden of clinical care and patients' clinical prognosis. Aim: To examine the impact of CRE co-infection with other multi-drug resistant organisms (MDRO) on patient clinical outcomes. Study Design: A retrospective observational study was conducted to compare the clinical outcomes of CRE patients who were co-infected with carbapenem-resistant Pseudomonas aeruginosa (CRPA), multidrug-resistant Acinetobacter baumannii (MDRA) and Methicillin-resistant Staphylococcus aureus (MRSA). Results: A total of 224 CRPA and 209 MDRA co-infections with CRE were identified from 4,236 cases from 2015-2020. The overall 90-day all-cause mortality was 21.6% but increased to 35.0% and 33.5% among patients who were co-infected with CRPA and MDRA, respectively. The odds of all-cause mortality among CRE patients who were co-infected with CRPA was twice that of patients identified with CRE alone [adjusted odds ratio (AOR) = 2.02, 95% confidence interval (CI): 1.18-3.46]. Further, the odds of all-cause mortality among CRE patients who were concomitantly identified with MRSA was more than twice that of patients who were not identified with MRSA [AOR = 2.16, 95%CI:1.31-3.56]. The clinical outcome of patients with CRE did not differ significantly depending on the presence of carbapenemase genes. Conclusion: The results show that CRPA and CRE co-infections have synergistic effects on clinical outcomes. Further investigation is necessary to understand the mechanism. Screening high risk patients for concomitant antimicrobial-resistant infections may have a significant clinical impact, including effective therapies, antibiotic stewardship, and infection control policies.