Search results for ": Public health"

showing 4 items of 4 documents

Making sense of big data in health research: {T}owards an {EU} action plan

2016

Genome medicine 8(1), 71 (2016). doi:10.1186/s13073-016-0323-y

0301 basic medicineBiomedical ResearchDatabases FactualPREDICTIONComputer scienceBig data: Santé publique services médicaux & soins de santé [D22] [Sciences de la santé humaine]XXBioinformaticsBases de dadesSYSTEMS MEDICINE0302 clinical medicineINFORMATICSCultural diversityHealth careGenetics(clinical)030212 general & internal medicineGenetics (clinical)media_commonGenetics & HeredityExabyteCHALLENGESMacrodadesCANCER3. Good healthAction planMolecular MedicineErratumLife Sciences & BiomedicineMedical GeneticsOpinion: Public health health care sciences & services [D22] [Human health sciences]MedicinaInformation DisseminationMECHANISMS03 medical and health sciencesFUTUREJournal ArticleGeneticsmedia_common.cataloged_instanceHumansKNOWLEDGEEuropean UnionEuropean unionMolecular BiologyMedicinsk genetik0604 GeneticsScience & Technologybusiness.industryInformation DisseminationHealth Plan Implementation1103 Clinical SciencesCAREData scienceData sharing030104 developmental biologyUNDIAGNOSED DISEASES NETWORKbusiness
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Elena+ care for COVID-19, a pandemic lifestyle care intervention : intervention design and study protocol

2021

Background: The current COVID-19 coronavirus pandemic is an emergency on a global scale, with huge swathes of the population required to remain indoors for prolonged periods to tackle the virus. In this new context, individuals' health-promoting routines are under greater strain, contributing to poorer mental and physical health. Additionally, individuals are required to keep up to date with latest health guidelines about the virus, which may be confusing in an age of social-media disinformation and shifting guidelines. To tackle these factors, we developed Elena+, a smartphone-based and conversational agent (CA) delivered pandemic lifestyle care intervention. Methods: Elena+ utilizes varie…

Conversational agentdigital healthcomputer sciencechatbot conversational agent digital coaching COVID-19 coronavirus lifestyle smartphone pandemic mental health exercisebehavioral scienceStudy Protocoldigital coachingChatbot Conversational agent (CA) Digital coaching Digital Health Coronavirus – COVID-19 Gamification Mental Health lifestyleCOVID‐19Humans:Medicine [Science]gamificationLife StylePandemicsPublic healthPandemicSARS-CoV-2coronavirus-COVID-19health sciencescoronavirus–COVID-19COVID-19Correctioninformation managementchatbot; conversational agent; Digital coaching; digital health; Coronavirus; COVID‐19; Gamification; Mental health; Pandemic; LifestyleLifestyleCoaching614: Public Health und GesundheitsförderungPandemic lifestyle careCoronavirusDigital Coachingconversational agent (CA)social sciencesmental healthChatbot
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Quantifying transmission fitness costs of multi-drug resistant tuberculosis.

2021

As multi-drug resistant tuberculosis (MDR-TB) continues to spread, investigating the transmission potential of different drug-resistant strains becomes an ever more pressing topic in public health. While phylogenetic and transmission tree inferences provide valuable insight into possible transmission chains, phylodynamic inference combines evolutionary and epidemiological analyses to estimate the parameters of the underlying epidemiological processes, allowing us to describe the overall dynamics of disease spread in the population. In this study, we introduce an approach to Mycobacterium tuberculosis (M. tuberculosis) phylodynamic analysis employing an existing computationally efficient mod…

EpidemiologyComputer scienceAntibiotic resistance030231 tropical medicinePopulationAntitubercular AgentsInferenceInfectious and parasitic diseasesRC109-216Drug resistanceComputational biologyMicrobial Sensitivity TestsMicrobiologylaw.inventionMycobacterium tuberculosis03 medical and health sciencesMulti-type birth–death model0302 clinical medicinelawVirologyMulti-type birth-death modelTuberculosis Multidrug-ResistantmedicineHumans030212 general & internal medicineWhole genome M. tuberculosiseducationEpidemicsPhylogenyeducation.field_of_studybiologyPhylogenetic treeMulti-drug-resistant tuberculosisPublic Health Environmental and Occupational HealthAntibiotic resistance; Multi-type birth–death model; Phylodynamics; Whole genome M. tuberculosisMycobacterium tuberculosismedicine.diseasebiology.organism_classificationPhylodynamics614: Public Health und GesundheitsförderungInfectious DiseasesViral phylodynamicsTransmission (mechanics)ParasitologyEpidemics
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Item response theory and differential test functioning analysis of the HBSC-Symptom-Checklist across 46 countries

2022

Abstract Background The Symptom Checklist (SCL) developed by the Health Behaviour in School-aged Children (HBSC) study is a non-clinical measure of psychosomatic complaints (e.g., headache and feeling low) that has been used in numerous studies. Several studies have investigated the psychometric characteristics of this scale; however, some psychometric properties remain unclear, among them especially a) dimensionality, b) adequacy of the Graded Response Model (GRM), and c) measurement invariance across countries. Methods Data from 229,906 adolescents aged 11, 13 and 15 from 46 countries that participated in the 2018 HBSC survey were analyzed. Adolescents were selected using representative s…

HBSC symptom checklistHealth behaviour in school‑aged childrenAdolescentPsychometrics: Public health health care sciences & services [D22] [Human health sciences]EpidemiologyEmotionskyselytutkimuslapset (ikäryhmät): Santé publique services médicaux & soins de santé [D22] [Sciences de la santé humaine]Health InformaticsAdolescentsnuoretmielenterveysSurveys and QuestionnairesHumansChildreliabiliteettiMeasurement invarianceSchoolsCross-nationalSubjective health complaintsReproducibility of ResultsPsychosomatic health complaintsChecklistpsykometriikkaSelf‑reported health complaintsvaliditeettimittarit (mittaus)psykosomatiikkaDifferential item functioningBMC Medical Research Methodology
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