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Preface | ||
Introduction | ||
Contributors | ||
Some problems in the theory of infectious disease transmission and control | 3 | |
The structure of epidemic models | 17 | |
Coupling methods in epidemic theory | 34 | |
Collective epidemic processes: a general modelling approach to the final outcome of SIR epidemics | 53 | |
The threshold concept in deterministic and stochastic models | 71 | |
How does transmission of infection depend on population size? | 84 | |
The legacy of Kermack and McKendrick | 95 | |
Incorporating spatial components into models of epidemic spread | 119 | |
Velocities of epidemic spread | 150 | |
Spatial epidemic models | 187 | |
A perturbation approach to nonlinear deterministic epidemic waves | 202 | |
Epidemic plant diseases: a stochastic model of leaf and stem lesion | 215 | |
Detecting nonlinearity and chaos in epidemic data | 229 | |
Seasonality, demography and the dynamics of measles in developed countries | 248 | |
Grouping in population models | 271 | |
Core groups and R[subscript 0]s for subgroups in heterogeneous SIS and SI models | 279 | |
Data driven network models for the spread of disease | 302 | |
The effect of antigenic diversity on endemic prevalence | 323 | |
Statistical challenges of epidemic data | 339 | |
Primary components of epidemic data | 339 | |
Primary components of epidemic models | 350 | |
Estimation and prediction in tropical disease control: the example of onchocerciasis | 372 | |
Some current trends in estimating vaccine efficacy | 394 | |
Operational modelling of HIV/AIDS to assist public health control | 404 | |
Appendix: Problem areas | 417 |
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Add Epidemic Models: Their Structure and Relation to Data, Epidemiology is one of the most vibrant branches of applied ecology. Progress in this field requires inter-disciplinary collaboration; leading researchers with a wide range of mathematical expertise and close involvement in applied fields across the socia, Epidemic Models: Their Structure and Relation to Data to the inventory that you are selling on WonderClubX
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Add Epidemic Models: Their Structure and Relation to Data, Epidemiology is one of the most vibrant branches of applied ecology. Progress in this field requires inter-disciplinary collaboration; leading researchers with a wide range of mathematical expertise and close involvement in applied fields across the socia, Epidemic Models: Their Structure and Relation to Data to your collection on WonderClub |