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Invited Perspective: A Multivariate Disease Process Perspective for Environmental Epidemiology
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Journal Article
Invited Perspective: A Multivariate Disease Process Perspective for Environmental Epidemiology
2023
Overview
Life course epidemiological studies provide longitudinal information, with varying degrees of frequency, over a long follow-up for a rich set of environmental, social, and biological factors. Life course cohort studies constitute a large investment of funds and time holding the promise of uncovering the effect of complex environmental exposures and of informing prevention strategies when randomized controlled trials are unethical or unfeasible. To inform effective prevention strategies it is important to identify which environmental pollutants are the key drivers of health outcomes as well as identify which timing of exposure influences which phase of the health condition of interest and through which mechanism. Such promise can be fully realized when we acknowledge that disease and exposure are multivariate intertwined dynamic processes in continuous time and consequently apply appropriate methods to investigate their dynamic dependence. Data science methods can be shaped by causal inference principles to overcome key methodological challenges toward the accomplishment of this goal.
Publisher
National Institute of Environmental Health Sciences,Environmental Health Perspectives
