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  1. Prediction in epidemiology and medicine.Jonathan Fuller, Alex Broadbent & Luis J. Flores - 2015 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences.
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  • Where health and environment meet: the use of invariant parameters in big data analysis.Sabina Leonelli & Niccolò Tempini - 2018 - Synthese 198 (S10):2485-2504.
    The use of big data to investigate the spread of infectious diseases or the impact of the built environment on human wellbeing goes beyond the realm of traditional approaches to epidemiology, and includes a large variety of data objects produced by research communities with different methods and goals. This paper addresses the conditions under which researchers link, search and interpret such diverse data by focusing on “data mash-ups”—that is the linking of data from epidemiology, biomedicine, climate and environmental science, which (...)
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  • Reframing the environment in data-intensive health sciences.Stefano Canali & Sabina Leonelli - 2022 - Studies in History and Philosophy of Science Part A 93:203-214.
    In this paper, we analyse the relation between the use of environmental data in contemporary health sciences and related conceptualisations and operationalisations of the notion of environment. We consider three case studies that exemplify a different selection of environmental data and mode of data integration in data-intensive epidemiology. We argue that the diversification of data sources, their increase in scale and scope, and the application of novel analytic tools have brought about three significant conceptual shifts. First, we discuss the EXPOsOMICS (...)
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  • Concepto de riesco: (dis)continuidades entre corrientes epidemiológicas.Carolina Ocampo, Anibal Eduardo Carbajo & Guillermo Folguera - 2020 - Principia: An International Journal of Epistemology 24 (3):633-656.
    In the present study we analyze if the risk concept of the hegemonic epidemiologychanges its nature in purportedly alternative currents as ecoepidemiology and socialepidemiology focused in multilevel analysis.We analyze the way this concept is distinguishedin every current and its relationship with other epidemiologic key notions as cause. We findthat the risk concept and the notion of cause remain relatively unchanged among the differentcurrents even when there is some theoretical discussion about the complexity of multilevelsystems and other explanations for the events. (...)
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  • Standards of evidence and causality in regulatory science: Risk and benefit assessment.José Luis Luján & Oliver Todt - 2020 - Studies in History and Philosophy of Science Part A 80 (C):82-89.
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  • Evaluating evidential pluralism in epidemiology: mechanistic evidence in exposome research.Stefano Canali - 2019 - History and Philosophy of the Life Sciences 41 (1):4.
    In current philosophical discussions on evidence in the medical sciences, epidemiology has been used to exemplify a specific version of evidential pluralism. According to this view, known as the Russo–Williamson Thesis, evidence of both difference-making and mechanisms is produced to make causal claims in the health sciences. In this paper, I present an analysis of data and evidence in epidemiological practice, with a special focus on research on the exposome, and I cast doubt on the extent to which evidential pluralism (...)
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  • Where health and environment meet: the use of invariant parameters in big data analysis.Sabina Leonelli & Niccolò Tempini - 2018 - Synthese 198 (Suppl 10):1-20.
    The use of big data to investigate the spread of infectious diseases or the impact of the built environment on human wellbeing goes beyond the realm of traditional approaches to epidemiology, and includes a large variety of data objects produced by research communities with different methods and goals. This paper addresses the conditions under which researchers link, search and interpret such diverse data by focusing on “data mash-ups”—that is the linking of data from epidemiology, biomedicine, climate and environmental science, which (...)
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