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
Beteiligte Einrichtungen
1 - Interfakultäres Institut für Genetik und Funktionelle Genomforschung / Abt. Funktionelle Genomforschung
2 - Institut für Klinische Chemie und Laboratoriumsmedizin
3 - Klinik und Poliklinik für Psychiatrie und Psychotherapie
4 - Institut für Community Medicine / Abt. SHIP KEF
5 - Institut für Pharmakologie / Abt. Allgemeine Pharmakologie
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):
Impact Factor Entwicklung
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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