作者: Marilia Sá Carvalho , Claudia Medina Coeli , Dóra Chor , Rejane Sobrino Pinheiro , Maria de Jesus Mendes da Fonseca
DOI: 10.1371/JOURNAL.PONE.0132216
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摘要: The most common modeling approaches to understanding incidence, prevalence and control of chronic diseases in populations, such as statistical regression models, are limited when it comes dealing with the complexity those problems. Those complex adaptive systems have characteristics emerging properties, self-organization feedbacks, which structure system stability resistance changes. Recently, science been proposed deal range, complexity, multifactor nature public health In this paper we applied a multilevel systemic approach create an integrated, coherent, increasingly precise conceptual framework, capable aggregating different partial or specialized studies, based on challenges Longitudinal Study Adult Health – ELSA-Brasil. failure blood pressure found several study's subjects was discussed, model, analyzing loops, time lags, feedback that influence outcome population high educational level, reasonably good services access. We were able identify internal circularities cycles generate system’s change. believe study can contribute propose some new possibilities research agenda discussion integrated actions field health.