M Riddle

• O4-2.4 Complexity, epidemiology and the understanding of “what if”

  G Kaplan, G A Kaplan et al.•ARTICLE•Journal of Epidemiology and…•2011

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  Einstein is reputed to have said that “everything should be as simple as possible, but not simpler.” These words ring ever more true to epidemiologists as we struggle to gain knowledge about complex disease processes that involve dynamic interactions between biological, behavioural, social, spatial, socioeconomic, and global determinants. Understanding the etiologic and policy implications of such a rich stew of factors challenges the “independen…

• Causal thinking and complex system approaches in epidemiology

  Sandro Galea, M Riddle et al.•ARTICLE•International Journal of…•2010

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  Identifying biological and behavioural causes of diseases has been one of the central concerns of epidemiology for the past half century. This has led to the development of increasingly sophisticated conceptual and analytical approaches focused on the isolation of single causes of disease states. However, the growing recognition that (i) factors at multiple levels, including biological, behavioural and group levels may influence health and diseas…

• Causal thinking and complex system approaches in epidemiology

  Sandro Galea, M Riddle et al.•ARTICLE•International Journal of…•2010

  Incluir item

  Identifying biological and behavioural causes of diseases has been one of the central concerns of epidemiology for the past half century. This has led to the development of increasingly sophisticated conceptual and analytical approaches focused on the isolation of single causes of disease states. However, the growing recognition that (i) factors at multiple levels, including biological, behavioural and group levels may influence health and diseas…

• O4-2.4 Complexity, epidemiology and the understanding of “what if”

  G Kaplan, G A Kaplan et al.•ARTICLE•Journal of Epidemiology and…•2011

  Incluir item

  Einstein is reputed to have said that “everything should be as simple as possible, but not simpler.” These words ring ever more true to epidemiologists as we struggle to gain knowledge about complex disease processes that involve dynamic interactions between biological, behavioural, social, spatial, socioeconomic, and global determinants. Understanding the etiologic and policy implications of such a rich stew of factors challenges the “independen…

Computer Science (2 obras) · Data science (2 obras) · Disease (2 obras) · Health disparities and outcomes (2 obras) · Medicine (2 obras) · Bioinformatics (1 obra) · Biology (1 obra) · Causation (1 obra) · Cognitive psychology (1 obra) · COVID-19 epidemiological studies (1 obra)