Rebound activation of 5-HT neurons following SSRI discontinuation.

Cessation of therapy with a selective serotonin (5-HT) reuptake inhibitor (SSRI) is often associated with an early onset and disabling discontinuation syndrome, the mechanism of which is surprisingly little investigated. Here we determined the effect on 5-HT neurochemistry of discontinuation from the SSRI paroxetine. Paroxetine was administered repeatedly to mice (once daily, 12 days versus saline controls) and then either continued or discontinued for up to 5 days. Whereas brain tissue levels of 5-HT and/or its metabolite 5-HIAA tended to decrease during continuous paroxetine, levels increased above controls after discontinuation, notably in hippocampus. In microdialysis experiments continuous paroxetine elevated hippocampal extracellular 5-HT and this effect fell to saline control levels on discontinuation. However, depolarisation (high potassium)-evoked 5-HT release was reduced by continuous paroxetine but increased above controls post-discontinuation. Extracellular hippocampal 5-HIAA also decreased during continuous paroxetine and increased above controls post-discontinuation. Next, immunohistochemistry experiments found that paroxetine discontinuation increased c-Fos expression in midbrain 5-HT (TPH2 positive) neurons, adding further evidence for a hyperexcitable 5-HT system. The latter effect was recapitulated by 5-HT1A receptor antagonist administration although gene expression analysis could not confirm altered expression of 5-HT1A autoreceptors following paroxetine discontinuation. Finally, in behavioural experiments paroxetine discontinuation increased anxiety-like behaviour, which partially correlated in time with the measures of increased 5-HT function. In summary, this study reports evidence that, across a range of experiments, SSRI discontinuation triggers a rebound activation of 5-HT neurons. This effect is reminiscent of neural changes associated with various psychotropic drug withdrawal states, suggesting a common unifying mechanism.

The Pelagic Species Trait Database, an open data resource to support trait-based ocean research.

Trait-based frameworks are increasingly used for predicting how ecological communities respond to ongoing global change. As species range shifts result in novel encounters between predators and prey, identifying prey 'guilds', based on a suite of shared traits, can distill complex species interactions, and aid in predicting food web dynamics. To support advances in trait-based research in open-ocean systems, we present the Pelagic Species Trait Database, an extensive resource documenting functional traits of 529 pelagic fish and invertebrate species in a single, open-source repository. We synthesized literature sources and online resources, conducted morphometric analysis of species images, as well as laboratory analyses of trawl-captured specimens to collate traits describing 1) habitat use and behavior, 2) morphology, 3) nutritional quality, and 4) population status information. Species in the dataset primarily inhabit the California Current system and broader NE Pacific Ocean, but also includes pelagic species known to be consumed by top ocean predators from other ocean basins. The aim of this dataset is to enhance the use of trait-based approaches in marine ecosystems and for predator populations worldwide.

An updated end-to-end ecosystem model of the Northern California Current reflecting ecosystem changes due to recent marine heatwaves.

The Northern California Current is a highly productive marine upwelling ecosystem that is economically and ecologically important. It is home to both commercially harvested species and those that are federally listed under the U.S. Endangered Species Act. Recently, there has been a global shift from single-species fisheries management to ecosystem-based fisheries management, which acknowledges that more complex dynamics can reverberate through a food web. Here, we have integrated new research into an end-to-end ecosystem model (i.e., physics to fisheries) using data from long-term ocean surveys, phytoplankton satellite imagery paired with a vertically generalized production model, a recently assembled diet database, fishery catch information, species distribution models, and existing literature. This spatially-explicit model includes 90 living and detrital functional groups ranging from phytoplankton, krill, and forage fish to salmon, seabirds, and marine mammals, and nine fisheries that occur off the coast of Washington, Oregon, and Northern California. This model was updated from previous regional models to account for more recent changes in the Northern California Current (e.g., increases in market squid and some gelatinous zooplankton such as pyrosomes and salps), to expand the previous domain to increase the spatial resolution, to include data from previously unincorporated surveys, and to add improved characterization of endangered species, such as Chinook salmon (Oncorhynchus tshawytscha) and southern resident killer whales (Orcinus orca). Our model is mass-balanced, ecologically plausible, without extinctions, and stable over 150-year simulations. Ammonium and nitrate availability, total primary production rates, and model-derived phytoplankton time series are within realistic ranges. As we move towards holistic ecosystem-based fisheries management, we must continue to openly and collaboratively integrate our disparate datasets and collective knowledge to solve the intricate problems we face. As a tool for future research, we provide the data and code to use our ecosystem model.

Laboratory Criteria for Exclusion and Readmission of Potentially Infectious Persons in Sensitive Settings in the Age of Culture-Independent Diagnostic Tests: Report of a Multidisciplinary Workgroup.

Culture-independent diagnostic tests (CIDTs) are increasingly used for clinical diagnosis of gastrointestinal diseases such as salmonellosis, Shiga toxin-producing E. coli disease, and shigellosis because of their speed, convenience, and generally high-performance characteristics. These tests are also used to screen potentially infectious asymptomatic persons during outbreak investigations in sensitive settings such as childcare, food service, and healthcare. However, only limited performance data are available for CIDTs used on specimens from asymptomatic persons. The Association of Public Health Laboratories (APHL) and Council of State and Territorial Epidemiologists (CSTE) convened a workgroup to examine the available scientific data to inform interim decision-making related to exclusion and readmission criteria for potentially infectious persons in sensitive settings, the risks and benefits of different testing strategies, and to identify knowledge gaps for further research. This is the report on the Workgroup findings.

Leveraging explanations in interactive machine learning: An overview.

Explanations have gained an increasing level of interest in the AI and Machine Learning (ML) communities in order to improve model transparency and allow users to form a mental model of a trained ML model. However, explanations can go beyond this one way communication as a mechanism to elicit user control, because once users understand, they can then provide feedback. The goal of this paper is to present an overview of research where explanations are combined with interactive capabilities as a mean to learn new models from scratch and to edit and debug existing ones. To this end, we draw a conceptual map of the state-of-the-art, grouping relevant approaches based on their intended purpose and on how they structure the interaction, highlighting similarities and differences between them. We also discuss open research issues and outline possible directions forward, with the hope of spurring further research on this blooming research topic.

Ensuring Equitable COVID-19 Vaccine Allocation in New Hampshire: The First Eight Months toward a New Era.

The global coronavirus disease 2019 (COVID-19) pandemic has been exacerbated by social vulnerabilities and racial disparities, resulting in disproportionate morbidity and mortality that require continued attention to strategies that ensure equitable vaccine allocation. The State of New Hampshire (NH) developed a transparent framework to guide COVID-19 vaccine allocation plans, of which one key component was the allocation of 10% of vaccine supply to disproportionately impacted and highly vulnerable populations, predominantly identified through a national vulnerability index. The process, operational approaches, ethical challenges, and unanticipated consequences resulted in many valuable lessons learned. Equitable allocation of this limited and critical pandemic countermeasure required public understanding and engagement, which was achieved through a publicly available framework that was flexible, resourced using public funds, and widely communicated. Broad partnerships were also critical to addressing disparities in the delivery of vaccine. The lessons learned and described here will facilitate more nimble and equitable jurisdictional responses in future public health emergencies.

Readying the Applied Epidemiology Workforce for Emerging Areas of Public Health Practice.

CONTEXT: Epidemiologists are key professionals within the public health workforce. As the role of public health agencies changes over time, epidemiologists will need to adapt and develop new skill sets to work in emerging areas of (public health) practice (EAoPs), which are areas of practice that are new or are growing in interest and use. OBJECTIVE: This mixed-methods research study sought to explore the role and readiness of state health department epidemiologists in the United States to work in EAoPs. DESIGN: Three phases of data collection and analysis were conducted including secondary analysis of the Public Health Workforce Interests and Needs Survey, a survey of the designated state epidemiologist in all 50 states and the District of Columbia, and focus groups with early-, mid-, and senior-career epidemiologists working in state health departments. SETTING: Fifty state health departments and the District of Columbia. PARTICIPANTS: Epidemiologists working in state health departments. MAIN OUTCOME MEASURES: Identification of EAoPs relevant to epidemiologists, the role of epidemiologists in these EAoPs, and readiness of epidemiologists to work in EAoPs. RESULTS: Participant state health department epidemiologists indicated that the studied EAoPs were important to their work and that epidemiologists have some role in them. Key facilitators identified to working in EAoPs included supportive organizational strategy and leadership, dedicated time for training and work, cross-training across programs, and the development of crosscutting skills. CONCLUSIONS: There is much opportunity for epidemiologists to be more engaged in current EAoPs. Not only can epidemiologists supply relevant data but they can also bring skills and expertise to help improve the overall success of population health improvement work. Workforce development strategies should be implemented to ensure a nimble epidemiology workforce that can readily adapt to the needs of future public health practice.

The bacteriology of pleural infection (TORPIDS): an exploratory metagenomics analysis through next generation sequencing.

BACKGROUND: Pleural infection is a common and severe disease with high morbidity and mortality worldwide. The knowledge of pleural infection bacteriology remains incomplete, as pathogen detection methods based on culture have insufficient sensitivity and are biased to selected microbes. We designed a study with the aim to discover and investigate the total microbiome of pleural infection and assess the correlation between bacterial patterns and 1-year survival of patients. METHODS: We assessed 243 pleural fluid samples from the PILOT study, a prospective observational study on pleural infection, with 16S rRNA next generation sequencing. 20 pleural fluid samples from patients with pleural effusion due to a non-infectious cause and ten PCR-grade water samples were used as controls. Downstream analysis was done with the DADA2 pipeline. We applied multivariate Cox regression analyses to investigate the association between bacterial patterns and 1-year survival of patients with pleural infection. FINDINGS: Pleural infection was predominately polymicrobial (192 [79%] of 243 samples), with diverse bacterial frequencies observed in monomicrobial and polymicrobial disease and in both community-acquired and hospital-acquired infection. Mixed anaerobes and other Gram-negative bacteria predominated in community-acquired polymicrobial infection whereas Streptococcus pneumoniae prevailed in monomicrobial cases. The presence of anaerobes (hazard ratio 0·46, 95% CI 0·24-0·86, p=0·015) or bacteria of the Streptococcus anginosus group (0·43, 0·19-0·97, p=0·043) was associated with better patient survival, whereas the presence (5·80, 2·37-14·21, p<0·0001) or dominance (3·97, 1·20-13·08, p=0·024) of Staphylococcus aureus was linked with lower survival. Moreover, dominance of Enterobacteriaceae was associated with higher risk of death (2·26, 1·03-4·93, p=0·041). INTERPRETATION: Pleural infection is a predominantly polymicrobial infection, explaining the requirement for broad spectrum antibiotic cover in most individuals. High mortality infection associated with S aureus and Enterobacteriaceae favours more aggressive, with a narrower spectrum, antibiotic strategies. FUNDING: UK Medical Research Council, National Institute for Health Research Oxford Biomedical Research Centre, Wellcome Trust, Oxfordshire Health Services Research Committee, Chinese Academy of Medical Sciences, and John Fell Fund.

Training Needs and Awareness of Emerging Areas of Public Health Practice Among Epidemiologists Working in State Health Agency Central Offices in the United States, 2017.

CONTEXT: Epidemiologists working in state health agency central offices (SHA-CO) are key professionals working to monitor population health indicators. Assessing training needs to identify gaps is critical to ensuring a competent public health workforce. OBJECTIVE: The objective of this research was to identify training needs of SHA-CO epidemiologists and their awareness of emerging areas of public health practice (EAoP) using data from the 2017 Public Health Workforce Interests and Needs Survey (PH WINS). DESIGN: SHA-CO epidemiologists were surveyed in fall 2017 using a Web-based tool. Balanced repeated replication weights were used to account for complex sample design. Differences in responses by tenure, education level, and supervisory status were assessed using multinomial logistic regression. SETTING: Forty-seven state health agencies. PARTICIPANTS: Permanently employed SHA-CO epidemiologists. MAIN OUTCOME MEASURES: Training needs were identified by classifying skill gaps as those skills that participants self-reported as high relevance to day-to-day work but self-rated as having low proficiency. Awareness of EAoP was self-reported. RESULTS: Systems and strategic thinking and budget and financial management were the areas with the greatest training needs. For most skill domains, fewer participants reported skill gaps with increasing years of public health work experience. Participants with 16 or more years of work experience were less likely to be motivated by most training motivators listed by epidemiologists with 5 or fewer years of experience. The EAoP participants reported greatest awareness of evidence-based public health practice (67%), and the EAoP they reported hearing least about was Health in All Policies (14%). CONCLUSIONS: Stratified analyses by tenure identified important differences in training needs and motivators that employers can use to customize workforce development strategies. SHA-CO epidemiologists reported varying amounts of awareness of EAoP. Specialized training approaches may contribute to improved employee engagement and reduce skill gaps among SHA-CO epidemiologists.

Use of Job Classifications, Career Ladders, and the Applied Epidemiology Competencies to Support Recruitment, Retention, and Practice of State Health Department Epidemiologists.

CONTEXT: State health departments report that recruitment and retention of qualified epidemiologists is a significant challenge to ensuring epidemiology capacity to support essential public health services. OBJECTIVE: To collect information on the use of epidemiology job classifications, career ladders, and professional competencies in state health departments to inform workforce development activities that improve epidemiology capacity. DESIGN: Electronic survey of the designated state epidemiologist. SETTING: Fifty state health departments and the District of Columbia. PARTICIPANTS: State epidemiologists working in state health departments. MAIN OUTCOME MEASURES: Use and perceived benefit of epidemiology job classifications, career ladders, and professional competencies. RESULTS: All 50 states and the District of Columbia responded to the survey. Most state health departments reported having epidemiology-specific job classifications (n = 44, 90%) and career ladders (n = 36, 71%) in place. State epidemiologists strongly agreed or agreed that having an epidemiology-specific classification positively contributed to recruitment (n = 37, 84%) and retention (n = 29, 66%) of epidemiologists in their agency. State epidemiologists strongly agreed or agreed that having an epidemiology-specific career ladder positively contributed to recruitment (n = 24, 69%) and retention (n = 23, 66%) of epidemiologists in their agency. Only 10 (29%) state epidemiologists reported using the applied epidemiology competencies to develop or revise their jurisdiction's epidemiology career ladder. CONCLUSIONS: State health departments should implement well-maintained epidemiology-specific job classifications and career ladders that are based on current epidemiology competencies. Career ladders should be supported with opportunities for competency-based training to support career progression.

A review of the applied epidemiology workforce in the United States: past, present, and future.

Applied epidemiologists are key professionals within the public health workforce, fulfilling core public health science functions. The public health system in the United States has been rapidly transforming over the last decade and epidemiologists will need to develop new skill sets to be successful in the future of public health. A review of the literature was undertaken to gain a comprehensive understanding of the past and present of the applied epidemiology workforce to inform future workforce initiatives aimed at improving applied epidemiology practice. The literature search identified 48 articles related to applied epidemiologists working in the United States at the federal, state, and local levels. These articles described efforts to build, enumerate, and assess the competency of the applied epidemiology workforce in addition to putting forward opinions about it. Overall, the articles demonstrated significant prior work enumerating the applied epidemiology workforce, some prior work identifying epidemiology training needs, and few prior studies assessing competency. The functions, skill sets, and training needs of epidemiologists have changed over time and the literature provides a number of recommendations for future training. Continued assessment of the workforce literature is recommended to monitor training needs and competency for use in implementing effective workforce development activities.

Personality profiles as potential targets for intervention: Identification and replication.

The alternative dimensional model of personality disorder (PD) diagnosis, based on personality-functioning impairment and pathological traits, opens the door for tailoring treatments to individuals with more homogeneous personality profiles than diagnostic categories. Such a transdiagnostic PD treatment approach requires robust, replicable, personality-relevant dimensions, which we found using a large battery of self-report measures: Self-pathology and negative affectivity (NA) traits, interpersonal pathology and detachment traits, and interpersonal pathology and antagonism traits. Using these dimensions, we identified three groups that had, respectively, elevations on (1) all three dimensions, (2) self-pathology/NA (with/without interpersonal-pathology elevation(s)) and (3) either or both interpersonal-pathology dimensions, without elevated self-pathology/NA. Using the same personality-functioning measures and a half-overlapping trait set, we replicated these profiles in an additional sample. Interview-based measures of functioning and personality pathology provided external validity evidence for the method, suggesting it represents a critical first step towards treatment research targeting transdiagnostic processes rather than diagnoses. For example, two groups might benefit from treatments focused, respectively, on emotional dysregulation and interpersonal relations, whereas the multiple-problem group may need a sequenced treatment approach. Research is needed to test these hypotheses and to expand the method to include a wider range of pathological personality traits. © 2019 John Wiley & Sons, Ltd.

Assessment of Epidemiology Capacity in State Health Departments - United States, 2017.

In 2017, the Council of State and Territorial Epidemiologists performed its sixth periodic Epidemiology Capacity Assessment, a national assessment that evaluates trends in workforce size, funding, and epidemiology capacity among state health departments. A standardized web-based questionnaire was sent to the state epidemiologist in the 50 states, the District of Columbia (DC), and the U.S. territories and the Federated States of Micronesia inquiring about the number of current and optimal epidemiologist positions; sources of epidemiology activity and personnel funding; and each department's self-perceived capacity to lead activities, provide subject matter expertise, and obtain and manage resources for the four Essential Public Health Services (EPHS)* most closely linked to epidemiology. From 2013 to 2017, the number of state health department epidemiologists† increased 22%, from 2,752 to 3,369, the greatest number of workers since the first full Epidemiology Capacity Assessment enumeration in 2004. The federal government provided most (77%) of the funding for epidemiologic activities and personnel. Substantial to full capacity (50%-100%) was highest for investigating health problems (92% of health departments) and monitoring health status (84%), whereas capacity for evaluating effectiveness (39%) and applied research (29%) was considerably lower. An estimated additional 1,200 epidemiologists are needed to reach full capacity to conduct the four EPHS. Additional resources might be needed to ensure that state health department epidemiologists possess the specialized skills to deliver EPHS, particularly in evaluation and applied epidemiologic research.

Large Outbreak of Hepatitis C Virus Associated With Drug Diversion by a Healthcare Technician.

Background: In May 2012, the New Hampshire (NH) Division of Public Health Services (DPHS) was notified of 4 persons with newly diagnosed hepatitis C virus (HCV) infection at hospital X. Initial investigation suggested a common link to the hospital cardiac catheterization laboratory (CCL) because the infected persons included 3 CCL patients and a CCL technician. NH DPHS initiated an investigation to determine the source and control the outbreak. Methods: NH DPHS conducted site visits, case patient and employee interviews, medical record and medication use review, and employee and patient HCV testing using enzyme immunoassay for anti-HCV, reverse-transcription polymerase chain reaction for HCV RNA, nonstructural 5B (NS5B) and hypervariable region 1 (HVR1) sequencing, and quasispecies analysis. Results: HCV HVR1 analysis of the first 4 cases confirmed a common source of infection. HCV testing identified 32 of 1074 CCL patients infected with the outbreak strain, including 3 patients coinfected with >1 HCV strain. The epidemiologic investigation revealed evidence of drug diversion by the HCV-infected technician, evidenced by gaps in controlled medication control, higher fentanyl use during procedures for confirmed cases, and building card key access records documenting the presence of the technician during days when transmission occurred. The employee's status as a traveling technician led to a multistate investigation, which identified additional cases at prior employment sites. Conclusions: This is the largest laboratory-confirmed drug diversion-associated HCV outbreak published to date. Recommendations to reduce drug diversion risk and to conduct outbreak investigations are provided.

Per- and polyfluoroalkyl substance (PFAS) exposure assessment in a community exposed to contaminated drinking water, New Hampshire, 2015.

BACKGROUND: Per- and polyfluoroalkyl substances (PFAS) are synthetic chemicals used in manufacturing that resist environmental degradation, can leach into drinking water, and bioaccumulate in tissues. Some studies have shown associations with negative health outcomes. In May 2014, a New Hampshire public drinking water supply was found to be contaminated with PFAS from a former U.S. Air Force base. OBJECTIVES: We established a serum testing program to assess PFAS exposure in the affected community. METHODS: Serum samples and demographic and exposure information were collected from consenting eligible participants. Samples were tested for PFAS at three analytical laboratories. Geometric means and 95% confidence intervals were calculated and analyzed by age and exposure variables. RESULTS: A total of 1578 individuals provided samples for PFAS testing; >94% were found to have perfluorooctane sulfonic acid (PFOS), perfluorooctanoic acid (PFOA), and perfluorohexane sulfonic acid (PFHxS) detectable in serum. Geometric mean serum concentrations of PFOS, PFOA, and PFHxS were 8.6 µg/L (95% CI:8.3-8.9), 3.1 µg/L (95% CI: 3.0-3.2), and 4.1 µg/L (95% CI: 3.9-4.3), respectively, which were statistically higher than the general U.S. POPULATION: Significant associations were observed between PFAS serum concentrations and age, time spent in the affected community, childcare attendance, and water consumption. CONCLUSIONS: PFOS, PFOA, and PFHxS were found in significantly higher levels in the affected population, consistent with PFAS drinking water contamination. Given increased recognition of PFAS contamination in the U.S, a coordinated national response is needed to improve access to biomonitoring and understand health impacts.

Phenological and distributional shifts in ichthyoplankton associated with recent warming in the northeast Pacific Ocean.

Understanding changes in the migratory and reproductive phenology of fish stocks in relation to climate change is critical for accurate ecosystem-based fisheries management. Relocation and changes in timing of reproduction can have dramatic effects upon the success of fish populations and throughout the food web. During anomalously warm conditions (1-4°C above normal) in the northeast Pacific Ocean during 2015-2016, we documented shifts in timing and spawning location of several pelagic fish stocks based on larval fish samples. Total larval concentrations in the northern California Current (NCC) during winter (January-March) 2015 and 2016 were the highest observed since annual collections first occurred in 1998, primarily due to increased abundances of Engraulis mordax (northern anchovy) and Sardinops sagax (Pacific sardine) larvae, which are normally summer spawning species in this region. Sardinops sagax and Merluccius productus (Pacific hake) exhibited an unprecedented early and northward spawning expansion during 2015-16. In addition, spawning duration was greatly increased for E. mordax, as the presence of larvae was observed throughout the majority of 2015-16, indicating prolonged and nearly continuous spawning of adults throughout the warm period. Larvae from all three of these species have never before been collected in the NCC as early in the year. In addition, other southern species were collected in the NCC during this period. This suggests that the spawning phenology and distribution of several ecologically and commercially important fish species dramatically and rapidly changed in response to the warming conditions occurring in 2014-2016, and could be an indication of future conditions under projected climate change. Changes in spawning timing and poleward migration of fish populations due to warmer ocean conditions or global climate change will negatively impact areas that were historically dependent on these fish, and change the food web structure of the areas that the fish move into with unforeseen consequences.

Use of Emergency Department Data to Monitor and Respond to an Increase in Opioid Overdoses in New Hampshire, 2011-2015.

OBJECTIVES: Opioid-related overdoses and deaths in New Hampshire have increased substantially in recent years, similar to increases observed across the United States. We queried emergency department (ED) data in New Hampshire to monitor opioid-related ED encounters as part of the public health response to this health problem. METHODS: We obtained data on opioid-related ED encounters for the period January 1, 2011, through December 31, 2015, from New Hampshire's syndromic surveillance ED data system by querying for (1) chief complaint text related to the words "fentanyl," "heroin," "opiate," and "opioid" and (2) opioid-related International Classification of Diseases ( ICD) codes. We then analyzed the data to calculate frequencies of opioid-related ED encounters by age, sex, residence, chief complaint text values, and ICD codes. RESULTS: Opioid-related ED encounters increased by 70% during the study period, from 3300 in 2011 to 5603 in 2015; the largest increases occurred in adults aged 18-29 and in males. Of 20 994 total opioid-related ED visits, we identified 18 554 (88%) using ICD code alone, 690 (3%) using chief complaint text alone, and 1750 (8%) using both chief complaint text and ICD code. For those encounters identified by ICD code only, the corresponding chief complaint text included varied and nonspecific words, with the most common being "pain" (n = 3335, 18%), "overdose" (n = 1555, 8%), "suicidal" (n = 816, 4%), "drug" (n = 803, 4%), and "detox" (n = 750, 4%). Heroin-specific encounters increased by 827%, from 4% of opioid-related encounters in 2011 to 24% of encounters in 2015. CONCLUSIONS: Opioid-related ED encounters in New Hampshire increased substantially from 2011 to 2015. Data from New Hampshire's ED syndromic surveillance system provided timely situational awareness to public health partners to support the overall response to the opioid epidemic.

An Integrative Analysis of the Narcissistic Personality Inventory and the Hypomanic Personality Scale: Implications for Construct Validity.

The primary goal of this study was to explicate the construct validity of the Narcissistic Personality Inventory (NPI) and the Hypomanic Personality Scale (HPS) by examining their relations both to each other and to measures of personality and psychopathology in a community sample ( N = 255). Structural evidence indicates that the NPI is defined by Leadership/Authority, Grandiose Exhibitionism, and Entitlement/Exploitativeness factors, whereas the HPS is characterized by specific dimensions reflecting Social Vitality, Mood Volatility, and Excitement. Our results establish that (a) factor-based subscales from these instruments display divergent patterns of relations that are obscured when relying exclusively on total scores and (b) some NPI and HPS subscales more clearly tap content specifically relevant to narcissism and mania, respectively, than others. In particular, our findings challenge the construct validity of the NPI Leadership/Authority and HPS Social Vitality subscales, which appear to assess overlapping assertiveness content that is largely adaptive in nature.

Service Bundle Recommendation for Person-Centered Care Planning in Cities.

Providing appropriate support for the most vulnerable individuals carries enormous societal significance and economic burden. Yet, finding the right balance between costs, estimated effectiveness and the experience of the care recipient is a daunting task that requires considering vast amount of information. We present a system that helps care teams choose the optimal combination of providers for a set of services. We draw from techniques in Open Data processing, semantic processing, faceted exploration, visual analytics, transportation analytics and multi-objective optimization. We present an implementation of the system using data from New York City and illustrate the feasibility these technologies to guide care workers in care planning.