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 Forschungsinformationssystem Universität Greifswald




Originalartikel | erschienen - Druck | peer reviewed

Epidemiology of multi-resistant organisms - challenges to a regional data management system.


PLoS Genetics 2011 ; 6(1): Doc26 -






Bibliometrische Indikatoren



Impact Factor = 7,528

Zitierhäufigkeit nach WOS = 144

DOI = 10.3205/dgkh000183

PubMed-ID = 22242107


Autoren

Medici M*, Porcu E, Pistis G, Teumer A1, Brown S, Jensen R, Rawal R, Roef G, Plantinga T, Vermeulen S, Lahti J, Simmonds M, Husemoen L, Freathy R, Shields B, Pietzner D, Nagy R, Broer L, Chaker L, Korevaar T, Plia M, Sala C, Völker U1, Richards J, Sweep F, Gieger C, Corre T, Kajantie E, Thuesen B, Taes Y, Visser W, Hattersley A, Kratzsch J, Hamilton A, Li W, Homuth G1, Lobina M, Mariotti S, Soranzo N, Cocca M, Nauck M2, Spielhagen C2, Ross A, Arnold A, van de Bunt M, Liyanarachchi S, Heier M, Grabe H3, Masciullo C, Galesloot T, Lim E, Reischl E, Leedman P, Lai S, Delitala A, Bremner A, Philips D, Beilby J, Mulas A, Vocale M, Abecasis G, Forsen T, James A, Widen E, Hui J, Prokisch H, Rietzschel E, Palotie A, Feddema P, Fletcher S, Schramm K, Rotter J, Kluttig A, Radke D4, Traglia M, Surdulescu G, He H, Franklyn J, Tiller D, Vaidya B, de Meyer T, Jørgensen T, Eriksson J, O'Leary P, Wichmann H, Hermus A, Psaty B, Ittermann T4, Hofman A, Bosi E, Schlessinger D, Wallaschofski H2, Pirastu N, Aulchenko Y, de la Chapelle A, Netea-Maier R, Gough S, Meyer zu Schwabedissen H5, Frayling T, Kaufman J, Linneberg A, Räikkönen K, Smit J, Kiemeney L, Rivadeneira F, Uitterlinden A, Walsh J, Meisinger C, den Heijer M, Visser T, Spector T, Wilson S, Völzke H4, Cappola A, Toniolo D, Sanna S, Naitza S, Peeters R


Abstract

The health care region Baltic Coast is within the framework of the joint project HICARE (Health, Innovative Care & Regional Economy) to be developed from January 2011 to December 2014 into a model region to combat the spread of multi-resistant organisms (MRO). The concept of the project area "IT & Epidemiology" will be introduced here. An IT system is to be developed and implemented consisting of two interconnected elements, a central data management and a web-based support system for information and decision. Particular challenges are the consolidation of data decentrally collected from numerous and heterogeneous data sources, compliance with the data privacy protection laws and the complex management of patients' informed consent. The information collected by the central data management will be the basis of epidemiological evaluations. Prevalence and incidence of MRO in patients and staff of medical facilities, single risk factors as well as risk profiles, the range and extent of treatments including their effectiveness and sustainability will be investigated. Furthermore, cost and cost-utility analyses will be performed.

Veröffentlicht in

PLoS Genetics


Jahr 2011
Impact Factor (2011) 7,528
Volume 6
Issue 1
Seiten Doc26 -
Open Access nein
Peer reviewed ja
Artikelart Originalartikel
Artikelstatus erschienen - Druck
DOI 10.3205/dgkh000183
PubMed-ID 22242107

Allgemeine Daten zur Fachzeitschrift

Kurzbezeichnung: PLOS GENET
ISSN: 1553-7404
eISSN: 1553-7404
Land: USA
Sprache: English
Kategorie(n):
  • CELL BIOLOGY
  • BIOCHEMISTRY & MOLECULAR BIOLOGY


Impact Factor Entwicklung

Jahr Impact Factor
2008 8,883
2009 9,532
2010 9,543
2011 8,694
2012 8,517
2013 8,167
2014 7,528
2015 6,661
2016 6,1
2017 5,54
2018 5,224
2019 5,174
2020 5,917
2021 6,02
2022 4,5
2023 4
2024 3,7

Projekte

GANI_MED Greifswald Approach to Individualized Medicine (Projektverbund)

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