59 research outputs found

    Meningococcal Meningitis Surveillance in the African Meningitis Belt, 2004-2013.

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    BACKGROUND: An enhanced meningitis surveillance network was established across the meningitis belt of sub-Saharan Africa in 2003 to rapidly collect, disseminate, and use district weekly data on meningitis incidence. Following 10 years' experience with enhanced surveillance that included the introduction of a group A meningococcal conjugate vaccine, PsA-TT (MenAfriVac), in 2010, we analyzed the data on meningitis incidence and case fatality from countries reporting to the network. METHODS: After de-duplication and reconciliation, data were extracted from the surveillance bulletins and the central database held by the World Health Organization Inter-country Support Team in Burkina Faso for countries reporting consistently from 2004 through 2013 (Benin, Burkina Faso, Chad, Democratic Republic of Congo, Ghana, Côte d'Ivoire, Mali, Niger, Nigeria, Togo). RESULTS: The 10 study countries reported 341 562 suspected and confirmed cases over the 10-year study period, with a marked peak in 2009 due to a large epidemic of group A Neisseria meningitidis (NmA) meningitis. Case fatality was lowest (5.9%) during this year. A mean of 71 and 67 districts annually crossed the alert and epidemic thresholds, respectively. The incidence rate of NmA meningitis fell >10-fold, from 0.27 per 100,000 in 2004-2010 to 0.02 per 100,000 in 2011-2013 (P < .0001). CONCLUSIONS: In addition to supporting timely outbreak response, the enhanced meningitis surveillance system provides a global overview of the epidemiology of meningitis in the region, despite limitations in data quality and completeness. This study confirms a dramatic fall in NmA incidence after the introduction of PsA-TT

    Relatório de estágio em farmácia comunitária

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    Relatório de estágio realizado no âmbito do Mestrado Integrado em Ciências Farmacêuticas, apresentado à Faculdade de Farmácia da Universidade de Coimbr

    Development and initial implementation of the Dynamic Assessment Treatment Algorithm (DATA)

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    <div><p>Given the recent increase in transdiagnostic research, it is important to discern how dimensional models of psychopathology could be used to guide personalized, dynamic assessment and treatment of symptoms. Using the person-specific approach described by Fisher (2015), we devised an initial 4-step algorithm for devising a treatment plan based on modular cognitive behavioral therapy using results obtained from within-person factor analyses and dynamic factor models. Then, we describe the improvement and digitization of the algorithm, termed Dynamic Assessment Treatment Algorithm (DATA). The development, structure, and clinical implications of DATA are discussed.</p></div

    Predicting short-term positive affect in individuals with social anxiety disorder: The role of selected personality traits and emotion regulation strategies

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    Recently, research has provided support for a moderate, inverse relationship between social anxiety and dispositional positive affect. However, the dynamics of this relationship remain poorly understood. The present study evaluates whether certain personality traits and emotion regulation variables predict short-term positive affect for individuals with social anxiety disorder and healthy controls. Positive affect as measured by two self-report instruments was assessed before and after two tasks in which the participant conversed with either a friend or a romantic partner. Tests of models examining the hypothesized prospective predictors revealed that the paths did not differ significantly across diagnostic group and both groups showed the hypothesized patterns of endorsement for the emotion regulation variables. Further, a variable reflecting difficulty redirecting oneself when distressed prospectively predicted one measure of positive affect. Additional research is needed to explore further the role of emotion regulation strategies on positive emotions for individuals higher in social anxiety

    Self-reported social skills impairment explains elevated autistic traits in individuals with generalized social anxiety disorder

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    Screening for autism in individuals with generalized social anxiety disorder (GSAD) is complicated by symptom overlap between GSAD and autism spectrum disorder (ASD). We examined the prevalence of self-reported autistic traits within a sample of participants with a diagnosis of GSAD (n = 37) compared to individuals without a GSAD diagnosis (NOSAD; n = 26). Of the GSAD sample participants, 70.84% self-reported autistic traits above a cut-off of 65 on the Autism Quotient-Short (AQ-S) and reported significantly more autistic traits on 3 of 5 AQ-S subscales compared to the NOSAD group. Diagnosis uniquely predicted variation in the social skills subscale above and beyond the other subscales and other predictors. Furthermore, variation in the social skills subscale largely explained group differences on the other subscales. Our results suggest caution in utilizing measures like the AQ-S with clinical populations characterized by social difficulties such as individuals with a GSAD diagnosis

    Social relationships and quality of life moderate distress associated with delusional ideation

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    Purpose: In a previous study, individuals who followed a particular new religious movement (NRM) reported significantly less distress even though they reported similar levels of delusional ideation when compared with individuals diagnosed with psychotic disorders. Protective factors such as social relationship quality and quality of life (QOL) were hypothesized to explain attenuated distress associated with delusional ideation. Methods: NRM individuals (n = 29), individuals diagnosed with psychotic disorders (n = 25), and control individuals (n = 63) were recruited. Psychotic symptoms, delusion-proneness, and facets of social relationships quality and QOL were examined across group. Potential moderators of the relationship between group membership and distress were further examined in multiple regression models. Results: NRM participants reported more social relationships that were of higher quality (as demonstrated by more crisis supports, unique and overlap supports, more helpful supports and more reciprocated supports) than individuals with psychotic disorders. NRM participants also reported significantly higher QOL than individuals with psychotic disorders. Furthermore, NRM participants reported more distinct and less reciprocated supports, and significantly higher psychological, environmental, and total QOL, when compared with control participants. The relationship between group membership, delusional ideation, and distress was moderated by relationship reciprocity as well as by total QOL. Conclusions: Findings highlight the importance of establishing healthy reciprocal social relationships and improving QOL in people diagnosed with psychotic disorders, as these factors may act as a buffer against distress associated with delusional beliefs. &#0169; 2013 Springer-Verlag Berlin Heidelberg

    Excel-based calculator for DATA.

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    <p>DATA = Dynamic Assessment Treatment Algorithm.</p

    P-technique results for participant 021.

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    <p>P-technique results for participant 021.</p

    Treatment team decision model.

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    <p>Treatment team decision model.</p

    DATA item-module matching matrix.

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    <p>DATA item-module matching matrix.</p
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