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ShareScore release 0.9.0
Dataset results
29 results for “health surveillance”
Hochfrequente Mental Health Surveillance
<p>Im Rahmen der Mental Health Surveillance (MHS) am Robert Koch-Institut (RKI) werden für eine Auswahl an Indikatoren der psychischen Gesundheit von Erwachsenen basierend auf Surveydaten Zeitreihen bestehend aus gleitenden Drei-Monats-Schätzern und Glättungskurven berechnet. Dadurch sollen Entwicklungen in der psychischen Gesundheit der erwachsenen Bevölkerung in Deutschland mit möglichst geringem Zeitverzug beobachtet und insbesondere negative Entwicklungen frühzeitig erkannt werden. Diese hochfrequente Surveillance wurde ursprünglich vor dem Hintergrund neuer Informationsbedarfe zur Entwicklung der psychischen Gesundheit der Bevölkerung in der COVID-19-Pandemie entwickelt.</p>
Measuring the risk of violence through health surveillance.
<p>database used for the study "M<span>easuring the risk of violence through health surveillance" to be published.</span></p>
Tuberculosis and HIV/AIDS-attributed mortalities and associated sociodemographic factors in Papua New Guinea: Evidence from the comprehensive health and epidemiological surveillance system
<p>Tuberculosis (TB) and HIV/AIDS are public health concerns in Papua New Guinea (PNG). This study examines TB and HIV/AIDS mortalities and associated sociodemographic factors in PNG. Method: As part of a longitudinal study, verbal autopsy (VA) interviews were conducted using the WHO 2016 VA Instrument to collect data of 926 deaths occurred in the communities within the catchment areas of the Comprehensive Health and Epidemiological Surveillance System from 2018-2020. InterVA-5 cause of deaths analytic tool was used to assign specific causes of death (COD). Multinomial logistic regression analyses were conducted to identify associated sociodemographic factors, estimate odds ratios (OR), 95% confidential intervals and p-values. Result: TB and HIV/AIDS were the leading CODs from infectious diseases, attributed to 9% and 8% of the total deaths, respectively. Young adults (25-34 years) had the highest proportion of deaths from TB (20%) and the risk of dying from TB among this age group was five times more likely than those aged 75+ years (OR: 5.5 [1.4-21.7]). Urban population were 46% less likely to die from this disease compared rural ones (OR: 0.54 [0.3-1.0]). People from middle household wealth quintile were three times more likely to die from TB than those in the richest quintile (OR: 3.0 [1.3-7.4]). Young adults also had the highest proportion of deaths to HIV/AIDS (18%) and were nearly seven times more likely to die from this disease compared with those aged 75+ years (OR: 6.7 [1.7-25.4]). Males were 48% less likely to die from HIV/AIDS than females (OR: 0.52 [0.3-0.9]). The risk of dying from HIV/AIDS in urban population was 54% less likely than their rural counterparts (OR: 0.46 [0.2-0.9]). Conclusion: TB and HIV/AIDS interventions are needed to target high-risk and vulnerable populations to reduce premature mortality from these diseases in PNG.</p>
Tuberculosis and HIV/AIDS-attributed mortalities and associated sociodemographic factors in Papua New Guinea: Evidence from the comprehensive health and epidemiological surveillance system
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Data from: Incidence and fatality of serious suicide attempts in a predominantly rural population in Shandong, China: a public health surveillance study
Objectives: To estimate the incidence of serious suicide attempts (SSAs, defined as suicide attempts resulting in either death or hospitalisation) and to examine factors associated with fatality among these attempters. Design: A surveillance study of incidence and mortality. Linked data from two public health surveillance systems were analysed. Setting: Three selected counties in Shandong, China. Participants: All residents in the three selected counties. Outcome: measures Incidence rate (per 100 000 person-years) and case fatality rate (%). Methods: Records of suicide deaths and hospitalisations that occurred among residents in selected counties during 2009–2011 (5 623 323 person-years) were extracted from electronic databases of the Disease Surveillance Points (DSP) system and the Injury Surveillance System (ISS) and were linked by name, sex, residence and time of suicide attempt. A multiple logistic regression model was developed to examine the factors associated with a higher or lower fatality rate. Results: The incidence of SSAs was estimated to be 46 (95% CI 44 to 48) per 100 000 person-years, which was 1.5 times higher in rural versus urban areas, slightly higher among females, and increased with age. Among all SSAs, 51% were hospitalised and survived, 9% were hospitalised but later died and 40% died with no hospitalisation. Most suicide deaths (81%) were not hospitalised and most hospitalised SSAs (85%) survived. The fatality rate was 49% overall, but was significantly higher among attempters living in rural areas, who were male, older, with lower education or with a farming occupation. With regard to the method of suicide, fatality was lowest for non-pesticide poisons (7%) and highest for hanging (97%). Conclusions: The incidence of serious suicide attempts is substantially higher in rural areas than in urban areas of China. The risk of death is influenced by the attempter's sex, age, education level, occupation, method used and season of year.
Vigilancia Intensificada de 100 casos y contactos de Influenza y SARS CoV-2, en Meta, Tolima y Cundinamarca, Colombia, 2020. (Intensified public health surveillance for first 100 cases in Meta, Tolima, and Cundinamarca, Colombia, 2020)
<p>Results from the FFX Unity study in Meta, Tolima, and Cundinamarca, Colombia, 2020.</p>
One Health EJP MATRIX video about the One Health Surveillance CODEX: The Knowledge Integration Platform (OHS Codex/KIP)
<p>This video was recorded during the webinar about the <strong>One Health Surveillance CODEX: The Knowledge Integration Platform (OHS Codex/KIP) </strong>as part of the OHEJP MATRIX Webinar Series 2022 <em>Solutions for One Health Surveillance in Europe</em>. The webinar took place on November 10<sup>th</sup> from 14:00 to 15:15 CET and was hosted by the <a href="https://onehealthejp.eu/jip-matrix/">One Health EJP project MATRIX.</a></p> <p>The One Health Surveillance CODEX: The Knowledge Integration Platform (OHS Codex/KIP) is a community resource supporting the adoption of the OH paradigm. The OHS Codex/KIP comprises five high-level “action principles”, which respectively support: i) planning and management; ii) collaboration; iii) knowledge exchange; iv) data interoperability; v) reporting and dissemination. These principles are applicable to any sector-specific or cross sectorial surveillance activity.<br> Under each of these principles, the OHS Codex/KIP provides the users a collection of resources (e.g. tools, technical resources, guidance documents and experiences) that address specific OH-problems in the context of the corresponding principle. As an open community framework, it is continuously updated by and for the community. More information is available <a href="https://oh-surveillance-codex.readthedocs.io/en/latest/">here.</a></p> <p>The OHS Codex/KIP has been initially devolped in <a href="https://onehealthejp.eu/jip-orion/">One Health EJP ORION</a> and was expanded and promoted within <a href="https://onehealthejp.eu/jip-matrix/">One Health EJP MATRIX.</a></p> <p>The MATRIX and ORION projects are part of the One Health European Joint Programme (OHEJP).<br> They received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No 773830.</p> <p>Leading MATRIX partner of the OHS Codex/KIP: German Federal Institute for Risk Assessment (BfR). Contact: Matthias Filter (Matthias.Filter@bfr.bund.de)</p> <p><em><strong>Webinar agenda:</strong></em></p> <p><strong>Welcome and general overview of the MATRIX solutions for One Health Surveillance</strong><br> Guido Benedetti, Statens Serum Institut (SSI), Denmark</p> <p><strong>One Health Surveillance CODEX: Knowledge Integration Platform – ORION perspective and MATRIX extension</strong><br> Matthias Filter, German Federal Institute for Risk Assessment (BfR), Germany</p> <p><strong>Live Demo and special features of the One Health Surveillance CODEX: Knowledge Integration Platform</strong><br> Yvonne Mensching, German Federal Institute for Risk Assessment (BfR), Germany</p>
Health Systems Implementation and Molecular Surveillance of Multiple First-Line Treatments for Uncomplicated Malaria in Western Kenya
ClinicalTrials.gov study NCT07362498. IPD Sharing: NO. Countries: 1. Publications: 1.
Family Health Study (Validation of a Family History of Cancer Questionnaire for Risk Factor Surveillance)
ClinicalTrials.gov study NCT00341757. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Data from: Incidence and fatality of serious suicide attempts in a predominantly rural population in Shandong, China: a public health surveillance study
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Expansion of wastewater-based disease surveillance to improve health equity in California’s Central Valley: Sequential shifts in case-to-wastewater and hospitalization-to-wastewater ratios
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Measuring the risk of violence through health surveillance
<p>Data on violence</p>
A review of endangered wildlife hosts in Europe for selected pathogens to be targeted by One Health surveillance
<p>EFSA has been asked by the EU-Commission to assess the prioritization of cross-border pathogens that threaten the Union to be used in setting up a coordinated surveillance system under the One Health (OH) approach. A list of 50 pathogen has been considered in a first stage by the OH Working Group of EFSA. Under this OH approach, the criteria to be applied for prioritization of pathogens in further steps should consider that emerging infectious diseases have arisen from or been identified in wildlife, with health implications for humans, domestic animals, and wildlife. The identified infectious diseases pose a threat to wildlife populations and biodiversity and are perceived by the society as real risks to wildlife conservation. We elaborated a list of potential endangered wildlife hosts distributed in Europe for each pathogen. Hosts species were classified as Near Threatened (NT), Vulnerable (BVU), Endangered (EN) and Critically Endangered (CE) based on the International Union for Conservation of Nature's (IUCN) Red List of Threatened Species. Their endemicity status was also indicated. To consider a species as potential hosts, a literature review was performed in PubMED and diagnosis included direct detection of pathogen and immunological response. A complete table and data sources are presented in excel</p>
Serologic Surveillance for SARS-CoV-2 (COVID-19) in a Prospective Cohort of Health Care Workers
ClinicalTrials.gov study NCT04387890. IPD Sharing: NO. Countries: 0. Publications: 14.
Health Care Associated Infection Surveillance in NICU
ClinicalTrials.gov study NCT03254316. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Mobile Health Platform for Surveillance of Kidney Stone
ClinicalTrials.gov study NCT05389982. IPD Sharing: NO. Countries: 1. Publications: 0.
Air Quality Monitoring and Health Surveillance of Workers in the Photocopier Units
ClinicalTrials.gov study NCT01289184. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Health Behaviors, Surveillance, Psychosocial Factors, and Family Concerns
ClinicalTrials.gov study NCT00518050. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Surveillance of Vaccine-induced Immunity Against Ebola in Previously Vaccinated Health Care Workers
ClinicalTrials.gov study NCT05313139. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Use of Public Health Surveillance Models in the French National Health System Database
ClinicalTrials.gov study NCT02904499. IPD Sharing: Not stated. Countries: 1. Publications: 0.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.