Interdisciplinary Public Health Reasoning and Epidemic Modelling: The Case of Black Death
Springer Science & Business Media, Sep 24, 2006 - Science - 320 pages
If you want to achieve something, if you want to write a book, paint a picture, be sure the center of your existence is somewhere else and that it’s solidly grounded; only then will you be able to keep your cool and laugh at the attacks that are bound to come. ” P. Feyerabend This is a book about interdisciplinary public health reasoning and epidemic m- th elling, in general, and the study of the infamous 14 century AD Black Death d- aster, in particular. We focus on the intellectual context in which epidemic mod- ling takes place, in a way that accounts for the present-day interdisciplinary and multicultural trends in scientific inquiry. Like most scientific fields, public health research defines itself based on knowledge, which raises serious epistemic and cognitive issues. Therefore, we maintain that for public health modellers to fu- tion in an often complex environment, they should be aware of the divergent c- ceptions of knowledge and the technological changes that these imply, the mul- ple sources of information commonly available and their reliability, the different styles of thinking adopted by the disciplines involved, and the importance of - veloping sound interdisciplinary knowledge integration skills.
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B On Stochastic Modelling
Mathematical Formulation of the SEP Principles
E The Role of Temporal Geographical Information Systems TGIS
F The Man and the Hammer
B The Controversy About the Epidemiologic Nature of Black Death
Data Processing and Interpretation Issues
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14th century analysis April assess Benedictow benefited clergy Biraben Black Death epidemic Black Death mortality bubonic plague causal Chapter Christakos chroniclers clergy mortali concepts considerable considered context covariance models Cuxham databases demic denotes desertionAbel disciplines duration Ecclesiastical ap epidemic modelling epidemic system epidemiology epistemic ERF model Europe evidence Example exposure fact factors Figure France function G-KB Gaussian geographical Givry human inductive Inductive reasoning infected integrated interdisciplinary involves Italy Jérica July knowledge logical Lübeck mathematical means monthly mortality mortality distribution mortality pdf mortality values Ms,t Mühldorf multi-sourced October outbreak paradigm parameters Place plot pointments Pre-plague population prediction probability problem propagation public health public health research random field reasoning relevant S-KB S/TRF scientific Scott and Duncan Section SEP modelling situation space-time spatial spatiotemporal starting statistical stochastic modelling Table techniques teleologic temporal TGIS theoretical theory tion uncertainty