Linked Life Data

9788065

Source:http://linkedlifedata.com/resource/pubmed/id/9788065

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
1999-1-21
pubmed:abstractText
The 1976 dioxin accident in Seveso, Italy, represented a major environmental health problem for the population of the surrounding territory and a challenge for the entire regional area and the health and scientific institutions. The role of occupational health and of epidemiology in the incident investigation and management is discussed. Of major relevance was the consideration of all the different component factors of the interested environment, from chemical pollution to cultural attitudes and psycho-social stressors. Scientific research was helpful in elucidating the incompletely known toxic effects of dioxin and the complex mechanism of cancer induction by this widespread pollutant of our industrialized environments. The experience gained in Seveso was also useful in prompting national and international legislation concerning major industrial accidents, and the lessons learned contributed to the content of this legislation. Preparedness to these events requires mapping of the potential sources of these accidental occurrences and the monitoring of the social and health characteristics of the possibly affected populations. In the Lombardy Region, the numerous epidemiological investigations performed and the expertise implemented for the study and the control of the accident consequences, formed the basis on which the Regional Epidemiology Surveillance System established.
pubmed:language
ita
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
1592-7830
pubmed:author
pubmed:issnType
Print
pubmed:volume
20
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
194-6
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:articleTitle
[Seveso. Dioxin: an example of environmental medicine. Epidemiologic data as guidelines for health programming].
pubmed:affiliation
Dipartimento di Medicina del Lavoro, Università degli Studi di Milano.
pubmed:publicationType
Journal Article, English Abstract