Vena J E, Weiner J M
Department of Social and Preventive Medicine, University at Buffalo, State of New York 14120, USA.
Int J Occup Med Environ Health. 1999;12(4):353-70.
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.
流行病学确定健康与环境损害之间关系的能力已变得极其困难。疾病的多因素性质以及损害的多样性,其中包括生物、物理、社会和文化因素,再加上遗传易感性,表明需要开发更好的多学科流行病学调查模型。本文强调了环境流行病学团队的需求,讨论了跨学科纳入新思想以及将社会、生态、文化和人群决定因素的结构与基于个体的暴露评估相结合的方法。创新将是流行病学在满足未来公共卫生需求方面生存并日益重要的关键,但增强和鼓励环境流行病学创造力的方法有哪些呢?自我更新和继续教育的过程将得到强调。此外,问题的复杂性以及对多学科研究工作进行明确监督和控制的必要性,需要一个沟通论坛以及一种超越传统流行病学研究的“信息处理方法”。数据管理和医学信息学的新方法必须纳入流行病学调查框架。应纳入的方法应侧重于计算机支持的思想共享机会。这些能力可最大限度地减少地理距离以及研究人员不同的知识和培训,并使团队更接近多学科调查所固有的目标和功能。