ABSTRACT
Business-centric solutions to data-related problems often yield the greatest positive impacts and improvements for private enterprises but are challenging to design and implement at scale within government agencies. The core mission of the Veterinary Services of the United States Department of Agriculture (USDA) Animal Plant Health Inspection Service is to safeguard animal agriculture in the United States of America, and effective data management underpins these efforts. As this agency works to assist data-driven decision-making in animal health management, it continues to use a blend of best practices from Federal Data Strategy initiatives and the International Data Management Association framework. This paper describes three case studies that focus on strategies to improve animal health data collection, integration, reporting and governance for animal health authorities. These strategies have enhanced the way USDA's Veterinary Services execute their mission and core operational activities for prevention, detection and early response to support disease containment and control.
S'agissant des problèmes en lien avec les données, les solutions centrées sur l'activité sont souvent celles qui génèrent le plus d'effets positifs et d'améliorations pour les entreprises du secteur privé, mais elles sont difficiles à concevoir et à mettre en oeuvre à grande échelle au sein des agences gouvernementales. Les Services vétérinaires du Service d'inspection de la santé animale et végétale du département américain de l'Agriculture (USDA) ont pour mission centrale de préserver les productions animales états-uniennes ; une gestion efficace des données vient soutenir cet effort. Dans leur action d'appui aux processus décisionnels de gestion de la santé animale fondés sur les données, ces Services recourent à une combinaison de bonnes pratiques mises en oeuvre aussi bien par les initiatives de la Stratégie fédérale sur les données que dans le cadre de l'Association internationale de gestion des données. Les auteurs décrivent trois études de cas sur des stratégies visant à améliorer la collecte, l'intégration, la notification et la gouvernance des données de santé animale afin de répondre aux besoins des autorités compétentes dans ce domaine. Ces stratégies ont permis aux Services vétérinaires de l'USDA de mieux s'acquitter de leur mission et d'améliorer leurs activités opérationnelles de prévention, de détection et de réaction rapide afin d'endiguer et contrôler les maladies.
Las soluciones eminentemente empresariales a problemas relacionados con los datos deparan con frecuencia los mejores frutos y resultados a la empresa privada, pero son difíciles de diseñar y aplicar a escala dentro de las administraciones públicas. Los Servicios Veterinarios adscritos al Servicio de Inspección Sanitaria de Animales y Plantas del Departamento de Agricultura de los Estados Unidos (USDA) tienen por principal cometido salvaguardar la producción animal estadounidense, labor que pasa en parte por una eficaz gestión de los datos. En su función de apoyo a la adopción de decisiones de gestión zoosanitaria basadas en los datos, este organismo sigue empleando una combinación de prácticas óptimas tomadas de iniciativas de la Estrategia Federal de Datos y de las pautas marcadas por la Asociación Internacional de Gestión de Datos. Los autores presentan y analizan tres ejemplos de estrategias para mejorar la obtención, integración, notificación y administración de datos zoosanitarios para las autoridades del ramo. Estas estrategias han conferido mayor eficacia a los Servicios Veterinarios del USDA en el cumplimiento de su misión y en la ejecución de sus principales actividades operativas de prevención, detección y pronta respuesta para ayudar a contener y combatir enfermedades.
Subject(s)
Agriculture , Animals , United StatesABSTRACT
Giardia duodenalis is the most common intestinal parasite of humans in the USA, but the risk factors for sporadic (non-outbreak) giardiasis are not well described. The Centers for Disease Control and Prevention and the Colorado and Minnesota public health departments conducted a case-control study to assess risk factors for sporadic giardiasis in the USA. Cases (N = 199) were patients with non-outbreak-associated laboratory-confirmed Giardia infection in Colorado and Minnesota, and controls (N = 381) were matched by age and site. Identified risk factors included international travel (aOR = 13.9; 95% CI 4.9-39.8), drinking water from a river, lake, stream, or spring (aOR = 6.5; 95% CI 2.0-20.6), swimming in a natural body of water (aOR = 3.3; 95% CI 1.5-7.0), male-male sexual behaviour (aOR = 45.7; 95% CI 5.8-362.0), having contact with children in diapers (aOR = 1.6; 95% CI 1.01-2.6), taking antibiotics (aOR = 2.5; 95% CI 1.2-5.0) and having a chronic gastrointestinal condition (aOR = 1.8; 95% CI 1.1-3.0). Eating raw produce was inversely associated with infection (aOR = 0.2; 95% CI 0.1-0.7). Our results highlight the diversity of risk factors for sporadic giardiasis and the importance of non-international-travel-associated risk factors, particularly those involving person-to-person transmission. Prevention measures should focus on reducing risks associated with diaper handling, sexual contact, swimming in untreated water, and drinking untreated water.
Subject(s)
Giardiasis/etiology , Adolescent , Adult , Aged , Aged, 80 and over , Bayes Theorem , Case-Control Studies , Child , Child, Preschool , Colorado/epidemiology , Female , Giardiasis/epidemiology , Giardiasis/transmission , Humans , Infant , Infant, Newborn , Logistic Models , Male , Middle Aged , Minnesota/epidemiology , Odds Ratio , Retrospective Studies , Risk Factors , Young AdultABSTRACT
Genome-wide linkage analyses of schizophrenia have identified several regions that may harbor schizophrenia susceptibility genes but, given the complex etiology of the disorder, it is unlikely that all susceptibility regions have been detected. We report results from a genome scan of 166 schizophrenia families collected through the Department of Veterans Affairs Cooperative Studies Program. Our definition of affection status included schizophrenia and schizoaffective disorder, depressed type and we defined families as European American (EA) and African American (AA) based on the probands' and parents' races based on data collected by interviewing the probands. We also assessed evidence for racial heterogeneity in the regions most suggestive of linkage. The maximum LOD score across the genome was 2.96 for chromosome 18, at 0.5 cM in the combined race sample. Both racial groups showed LOD scores greater than 1.0 for chromosome 18. The empirical P-value associated with that LOD score is 0.04 assuming a single genome scan for the combined sample with race narrowly defined, and 0.06 for the combined sample allowing for broad and narrow definitions of race. The empirical P-value of observing a LOD score as large as 2.96 in the combined sample, and of at least 1.0 in each racial group, allowing for narrow and broad racial definitions, is 0.04. Evidence for the second and third largest linkage signals come solely from the AA sample on chromosomes 6 (LOD = 2.11 at 33.2 cM) and 14 (LOD = 2.13 at 51.0). The linkage evidence differed between the AA and EA samples (chromosome 6 P-value = 0.007 and chromosome 14 P-value = 0.004).
