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Eleni Dovriki

dovriki@teilar.gr 
dovriki@teilar.gr
EDUCATION AND TRAINING
- 2009-2012: PhD Candidate, Department of Medicine, University of Thessaly, Greece.
- 2008: MSc in Environmental Health, Department of Medicine, University of Thessaly, Greece.
- 2004: Graduate in department of Managing the rural environment and natural resources”, University of Thessaly, Greece.

Research interests
- Quality of Environment in the context of Public Health (a. Quality of Soil, b. Quality of Air and c. Quality of Water, in the Context of Public Health)

Educational expertise: Environmental Chemistry, Quality of Environment.

WORK EXPERIENCE
- 2010-2011: Laboratory collaborator, Department of Animal Production, Technological Education Institute of Larissa, Greece.
- 2009-2010: Laboratory collaborator, Department of Animal Production, Technological Education Institute of Larissa, Greece.
- 2009-2010: Laboratory collaborator, Department of Plant Production, Technological Education Institute of Larissa, Greece.
- 2008-2009: Laboratory collaborator, Department of Animal Production, Technological Education Institute of Larissa, Greece.
- 2006-2008: Associate Researcher of Public Health Research Projects co-funded by the European Social Fund - National Resources, entitled: "Improvement and Insurance of Public Health in Thessaly” and “Training of Employees in Public Services and Health Authorities in Special Topics of Public Health”.
- 2005-2007: Associate Researcher in research program co-funded by the European Social Fund - National Resources – EPEAEK II (ARCHIMEDES II), entitled: “Development of a System for Internal and External Quality Control of Drinking Water”, Technological Education Institute of Larissa, Greece.

RESEARCH ACTIVITY
Associate Researcher of Research Project co-funded by the European Social Fund - National Resources – EPEAEK II (ARCHIMEDES II):
- Title: “Development of a System for Internal and External Quality Control of Drinking Water”.

Associate Researcher of Public Health Research Projects co-funded by the European Social Fund - National Resources:
- Title: "Determination of Normal Values of Biochemical Parameters of Healthy Individuals”.
- Title "IMPROVEMENT AND INSURANCE OF PUBLIC HEALTH IN THESSALY”.
- Title: “Training of Employees in Public Services and Health Authorities in Special Topics of Public Health”.

Associate Researcher in Research Projects co-funded by the European Social Fund - National Resources – EPEAEK II (ARCHIMEDES II):
- Title: "Management of Water Resources and Welland protection in tourism developing areas (MANWATER - CODE: A.1.130 - INTERREG III BARCHIMED 2000-2006)" Ref. 3446.
- Title: "Screening Assay of Secondary Prevention of Breast Cancer in Women of Thessaly - Use of Education’s Nursing Protocol”.
- Title: "Business Plan of Pieria 2006 – 2013”.
- Title: «EQUAL – ARTEMIS: “Gender equality in the armed forces. Project: Transnational”.

Journal articles

2010
Agelos Papaioannou, Athina Mavridou, Christos Hadjichristodoulou, Panagiotis Papastergiou, Olga Pappa, Eleni Dovriki, Ioannis Rigas (2010)  Application of multivariate statistical methods for groundwater physicochemical and biological quality assessment in the context of public health.   Environ Monit Assess 170: 1-4. 87-97 Nov  
Abstract: Three representative areas (lowland, semi-mountainous, and coastal) have been selected for the collection of drinking water samples, and a total number of 28 physical, chemical, and biological parameters per water sample have been determined and analyzed. The mean values of the physical and chemical parameters were found to be within the limits mentioned in the 98/83/EEC directive. The analysis of biological parameters shows that many of the water samples are inadequate for human consumption because of the presence of bacteria. Cluster analysis (CA) first was used to classify sample sites with similar properties and results in three groups of sites; discriminant analysis (DA) was used to construct the best discriminant functions to confirm the clusters determined by CA and evaluate the spatial variations in water quality. The standard mode discriminant functions, using 17 parameters, yielded classification matrix correctly assigning 96.97% of the cases. In the stepwise mode, the DA produced a classification matrix with 96.36% correct assignments using only ten parameters (EC, Cl-, NO3-, HCO3-, CO3(-2), Ca+2, Na+, Zn, Mn, and Pb). CA and factor analysis (FA) are used to characterize water quality and assist in water quality monitoring planning. CA proved that two major groups of similarity (six subclusters) between 17 physicochemical parameters are formed, and FA extracts six factors that account for 66.478% of the total water quality variation, when all samples' physicochemical data set is considered. It is noteworthy that the classification scheme obtained by CA is completely confirmed by principal component analysis.
Notes:
2009
2007
2006

Conference papers

2009
2008
2007
2006
2005
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