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Disease Mapping: From Foundations to Multidimensional Modeling
guides the reader from the basics of disease mapping to the most
advanced topics in this field. A multidimensional framework is
offered that makes possible the joint modeling of several risks
patterns corresponding to combinations of several factors,
including age group, time period, disease, etc. Although theory
will be covered, the applied component will be equally as important
with lots of practical examples offered. Features: Discusses the
very latest developments on multivariate and multidimensional
mapping. Gives a single state-of-the-art framework that unifies
most of the previously proposed disease mapping approaches.
Balances epidemiological and statistical points-of-view. Requires
no previous knowledge of disease mapping. Includes practical
sessions at the end of each chapter with WinBUGs/INLA and real
world datasets. Supplies R code for the examples in the book so
that they can be reproduced by the reader. About the Authors:
Miguel A. Martinez Beneito has spent his whole career working as a
statistician for public health services, first at the epidemiology
unit of the Valencia (Spain) regional health administration and
later as a researcher at the public health division of FISABIO, a
regional bio-sanitary research center. He has been also the
Bayesian Hierarchical Models professor for several seasons at the
University of Valencia Biostatics Master. Paloma Botella Rocamora
has spent most of her professional career in academia although she
now works as a statistician for the epidemiology unit of the
Valencia regional health administration. Most of her research has
been devoted to developing and applying disease mapping models to
real data, although her work as a statistician in an epidemiology
unit makes her develop and apply statistical methods to health
data, in general.
Migrants squats are an essential part of the 'corridors of
solidarity' that are being created throughout Europe, where
grassroots social movements engaged in anti-racist, anarchist and
anti-authoritarian politics coalesce with migrants in devising
non-institutional responses to the violence of border regimes. This
book focuses on migrants' self-organised housing strategies in
Europe and the collective squatting of buildings and land. In these
spaces contentious politics and everyday social reproduction uproot
racist and xenophobic regimes. The struggles emerging in these
spaces disrupt host-guest relations, which often perpetuate
state-imposed hierarchies and humanitarian disciplining
technologies. The solidarities and collaborations between
undocumented and documented activists in these radical spaces
enable possibilities for inhabitance beyond, against and within
citizenship. These do not only reverse forms of exclusion and
repression, but produce ungovernable resources, alliances and
subjectivities that prefigure more livable spaces for all. The
contributions to this book address these struggles as forms of
commoning, as they constitute autonomous socio-political
infrastructures and networks of solidarity beyond and against the
state and humanitarian provision. The chapters in this book were
originally published as a special issue of Citizenship Studies.
This volume sheds light on the development of squatting practices
and movements in nine European cities (Madrid, Barcelona, Seville,
Rome, Paris, Berlin, Copenhagen, Rotterdam and Brighton) by
examining the numbers, variations and significant contexts in their
life course. It reveals how and why squatting practices have
shifted and to what extent they engender urban movements. The book
measures the volume and changes in squatting over various decades,
mostly by focusing on Squatted Social Centres but also including
squatted housing. In addition, it systematically compares the
cycles, socio-spatial structures and the political implications of
squatting in selected cities. This collection highlights how
squatters' movements have persisted over more than four decades
through different trajectories and circumstances, especially in
relation to broader protest cycles and reveals how political
opportunities and constraints influence the conflicts around the
legalisation of squats. p>
This volume sheds light on the development of squatting practices
and movements in nine European cities (Madrid, Barcelona, Seville,
Rome, Paris, Berlin, Copenhagen, Rotterdam and Brighton) by
examining the numbers, variations and significant contexts in their
life course. It reveals how and why squatting practices have
shifted and to what extent they engender urban movements. The book
measures the volume and changes in squatting over various decades,
mostly by focusing on Squatted Social Centres but also including
squatted housing. In addition, it systematically compares the
cycles, socio-spatial structures and the political implications of
squatting in selected cities. This collection highlights how
squatters' movements have persisted over more than four decades
through different trajectories and circumstances, especially in
relation to broader protest cycles and reveals how political
opportunities and constraints influence the conflicts around the
legalisation of squats. p>
This book originated from a course given at the Univcrsidad
Aut6noma of Madrid in the Spring of 1994 and in the Universidad
Complutense of Madrid in 1995. The goal of these courses is to give
the non-specialist an introduction to some old and new ideas in the
field of strongly correlated systems, in particular the problems
posed by the high-1 superconducting materials. As theoretical
physicists, our starting viewpoint to address the problem of
strongly correlat ed ferlnion systems and related issues of modern
condensed matter physics .is the renormalization group approach
applied both to quantU111 field theory and statistical physics. In
recent years this has become not only a powerful tool for
retrieving the essential physics of interacting systems but also a
link between theoretical physics and modern condensed matter
physics. Furthermore, once we have this common background for
dealing with apparently different prob lems, we discuss more
specific topics and even phenomenological aspects of the field. In
doing so we have tried to make the exposition clear and simple,
with out entering into technical details but focusing ill the
fundamental physics of the phenomena under study. Therefore, ve
expect that our experience ll1ay have some value to other people
entering this fascinating field. We have divided these notes into
three parts and each part into chapters, which correspond roughly
to one or two lectures. Part I, Chaps. 1-2 (A. H. V."
This volume, intended as a contribution to the 10th birthday of
high T"c"-superconductivity, conveys the essential ideas of the
field and addresses researchers as well as graduate students. A
special feature is the pedagogical treatment of a variety of modern
computational methods to deal with non-pertubative effects in
strongly correlated systems. Among the topics treated are the
Hubbard models, real space renormalization group methods, quantum
phase transitions, the non-linear sigma model, spin ladders and
layers, and the quantum Hall effect.
Disease Mapping: From Foundations to Multidimensional Modeling
guides the reader from the basics of disease mapping to the most
advanced topics in this field. A multidimensional framework is
offered that makes possible the joint modeling of several risks
patterns corresponding to combinations of several factors,
including age group, time period, disease, etc. Although theory
will be covered, the applied component will be equally as important
with lots of practical examples offered. Features: Discusses the
very latest developments on multivariate and multidimensional
mapping. Gives a single state-of-the-art framework that unifies
most of the previously proposed disease mapping approaches.
Balances epidemiological and statistical points-of-view. Requires
no previous knowledge of disease mapping. Includes practical
sessions at the end of each chapter with WinBUGs/INLA and real
world datasets. Supplies R code for the examples in the book so
that they can be reproduced by the reader. About the Authors:
Miguel A. Martinez Beneito has spent his whole career working as a
statistician for public health services, first at the epidemiology
unit of the Valencia (Spain) regional health administration and
later as a researcher at the public health division of FISABIO, a
regional bio-sanitary research center. He has been also the
Bayesian Hierarchical Models professor for several seasons at the
University of Valencia Biostatics Master. Paloma Botella Rocamora
has spent most of her professional career in academia although she
now works as a statistician for the epidemiology unit of the
Valencia regional health administration. Most of her research has
been devoted to developing and applying disease mapping models to
real data, although her work as a statistician in an epidemiology
unit makes her develop and apply statistical methods to health
data, in general.
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