Essential Epidemiology: An Introduction for Students and Health ProfessionalsCambridge University Press, 2005 M04 28 - 355 pages This is an accessible, easily readable, and modern introduction to epidemiology for students of medicine and public health. It combines a strong public health perspective and rationale with modern methodological insights in a coherent and straight forward way. It emphasises the fundamental principles common to all areas of epidemiology and, unlike many other texts, integrates both public health and clinical epidemiology and the study of infectious and chronic diseases. It aims to give health professionals a good understanding of the methods and potential problems underlying epidemiological data and reports but also provides a thorough introduction for would-be epidemiologists. The 'nuts and bolts' of epidemiology are embedded in the wider health perspective and the concluding chapter explores future possibilities and emphasises the integration of the various strands of the discipline. The basic messages are reinforced through numerous examples and questions, with answers provided. |
From inside the book
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Page i
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Page vii
... infectious diseases 254 A causal model 256 What influences the spread of infectious diseases ? Epidemics or Contents vii.
... infectious diseases 254 A causal model 256 What influences the spread of infectious diseases ? Epidemics or Contents vii.
Page viii
... infectious diseases ? Epidemics or outbreaks Investigating outbreaks Tuberculosis : a case study Conclusion Questions References 13 Prevention : better than cure ? Disease prevention in public health The scope for preventive medicine ...
... infectious diseases ? Epidemics or outbreaks Investigating outbreaks Tuberculosis : a case study Conclusion Questions References 13 Prevention : better than cure ? Disease prevention in public health The scope for preventive medicine ...
Page 4
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Page 5
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Contents
II | 1 |
III | 2 |
IV | 4 |
V | 5 |
VI | 7 |
VII | 10 |
VIII | 16 |
IX | 17 |
LXIII | 193 |
LXIV | 200 |
LXVI | 201 |
LXVII | 202 |
LXVIII | 203 |
LXIX | 204 |
LXX | 206 |
LXXI | 208 |
X | 22 |
XI | 25 |
XII | 26 |
XIII | 28 |
XV | 30 |
XVI | 36 |
XVII | 42 |
XVIII | 49 |
XIX | 51 |
XX | 59 |
XXII | 60 |
XXIII | 61 |
XXIV | 63 |
XXV | 64 |
XXVI | 71 |
XXVII | 72 |
XXVIII | 75 |
XXIX | 76 |
XXX | 78 |
XXXI | 80 |
XXXII | 83 |
XXXIII | 87 |
XXXV | 88 |
XXXVI | 89 |
XXXVII | 90 |
XXXVIII | 92 |
XXXIX | 95 |
XL | 105 |
XLI | 106 |
XLII | 114 |
XLIII | 115 |
XLIV | 117 |
XLV | 118 |
XLVI | 121 |
XLVII | 125 |
XLVIII | 140 |
XLIX | 145 |
L | 148 |
LI | 149 |
LII | 151 |
LIII | 166 |
LIV | 177 |
LV | 181 |
LVII | 182 |
LVIII | 183 |
LX | 184 |
LXI | 186 |
LXII | 187 |
LXXII | 209 |
LXXIII | 210 |
LXXIV | 212 |
LXXV | 213 |
LXXVIII | 215 |
LXXIX | 216 |
LXXX | 219 |
LXXXI | 221 |
LXXXII | 227 |
LXXXIII | 228 |
LXXXV | 229 |
LXXXVI | 230 |
LXXXVII | 231 |
LXXXVIII | 234 |
LXXXIX | 240 |
XCI | 243 |
XCII | 246 |
XCIII | 249 |
XCIV | 250 |
XCV | 253 |
XCVI | 254 |
XCVII | 256 |
XCVIII | 258 |
XCIX | 264 |
C | 266 |
CI | 274 |
CIV | 276 |
CVI | 281 |
CVII | 284 |
289 | |
CIX | 290 |
CXI | 293 |
CXIII | 303 |
CXIV | 304 |
CXV | 312 |
CXVI | 313 |
CXVIII | 314 |
CXIX | 316 |
CXX | 320 |
323 | |
CXXII | 324 |
CXXIII | 336 |
CXXIV | 337 |
CXXV | 339 |
CXXVI | 341 |
345 | |
Other editions - View all
Essential Epidemiology: An Introduction for Students and Health Professionals Penny Webb,Chris Bain,Sandi Pirozzo No preview available - 2005 |
Common terms and phrases
alcohol assess association attributable risk Australia blood pressure breast cancer British Doctors Study calculate cancer mortality cardiovascular case-control study causal cause Chapter cholera clinical cohort study compared confidence interval confounding consider countries criteria crude cumulative incidence death rate detect diabetes diagnosis disease control effect epidemic epidemiology estimate evaluate example exposed exposure and outcome Figure follow-up heart disease identify important incidence rate increase individual infection infectious diseases intervention investigators lung cancer mammography measurement error misclassification mortality rates negative non-differential non-smokers obesity occur odds ratio outbreak ovarian cancer p-value participants patients percentage person-years positive potential practice prevalence prevention problem proportion public health random randomised rate ratio relative risk reported risk factors sample screening programme selection bias smoking specific standard population standardised statistically stroke surveillance systematic Table tion treatment trial unexposed group vaccine women