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Evaluating the relationship between chemical exposure and cryptorchidism.
Environ. Modell. Softw. 25, 1801-1812 (2010)
One method for the evaluation of complex environmental and health datasets is the discrete mathematical method Hasse diagram technique based on partial orders. The introduced software program package is named PyHasse. In this paper we evaluate a possible human association between maternal exposure to organochlorine compounds used as pesticides and cryptorchidism among male children in Finland and Denmark. We identified differences in comparable and incomparable objects and quantified these differences by the software tool Similarity Analysis in the program PyHasse. Furthermore we interpreted the corresponding Hasse diagrams concerning chosen “striking objects”. We found the position of the chemicals AHCH (alpha-Hexachlorohexane), CHCE (cis-Heptachloroepoxide), DIEL (Dieldrin), and MIRE (Mirex) has some influence on the differentiation of the Hasse diagrams and hence of each two datasets analyzed. The largest disparities can be observed when we compare the Finnish and Danish datasets concerning cryptorchidism. The disparities are demonstrated in the corresponding Hasse diagrams.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Times Cited
Scopus
Cited By
Cited By
Altmetric
3.085
2.000
18
26
Anmerkungen
Besondere Publikation
Auf Hompepage verbergern
Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Schlagwörter
Environmental health data; Cryptorchidism; HASSE diagram technique; Partially ordered sets; Environmental software; PyHasse
Sprache
englisch
Veröffentlichungsjahr
2010
HGF-Berichtsjahr
2010
ISSN (print) / ISBN
1364-8152
e-ISSN
1873-6726
Zeitschrift
Environmental Modelling and Software
Quellenangaben
Band: 25,
Heft: 12,
Seiten: 1801-1812
Verlag
Elsevier
Verlagsort
Oxford
Begutachtungsstatus
Peer reviewed
Institut(e)
Institute of Biomathematics and Biometry (IBB)
Institute of Ecological Chemistry (IOEC)
Institute of Ecological Chemistry (IOEC)
PSP-Element(e)
G-503800-002
G-505100-001
G-505100-001
Scopus ID
78650521625
Erfassungsdatum
2010-10-07