title: Innovative multidisciplinary research in environmental epidemiology: the challenges and needs.
abstract: The ability of epidemiology to determine the relationships between health and environmental insults has become exceedingly difficult. The multifactorial nature of disease and the diversity of the insults, which include biologic, physical, social and cultural factors, combined with genetic susceptibility, suggest the need to develop better models of multidisciplinary epidemiologic investigation. This paper highlights the needs of an environmental epidemiologic team, discusses ways to incorporate new ideas across disciplines and to integrate constructs and paradigms of social, ecological, cultural and population determinants with individual-based exposure assessments. Innovation will be the key to the survival and increasing importance of epidemiology in addressing the public health needs of the future, but what are the ways to enhance and encourage creativity in environmental epidemiology? The process of self-renewal and continuing education will be highlighted. Additionally, the complexity of the problems and the need for clear supervision and control of multidisciplinary research efforts require a forum of communication and an 'information-processing approach' beyond those in traditional epidemiologic studies. New approaches in data management and medical informatics must be incorporated into the epidemiologic investigative framework. Methods to be included should focus on opportunities for computer-supported sharing of ideas. Such capabilities minimise the geographic distances and the disparate knowledge and training of the investigators and bring the team closer to the objectives and functions inherent in multidisciplinary investigation.
authors.affiliation: Department of Social and Preventive Medicine, University at Buffalo, State of New York 14120, USA.
authors.forename: J E
authors.initials: JE
authors.lastname: Vena
authors.forename: J M
authors.initials: JM
authors.lastname: Weiner
mesh_terms: D019992:Databases as Topic; D004782:Environmental Health; D004812:Epidemiologic Methods; D006801:Humans