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Dynamics Days Latin America and the Caribbean 2018
| Dynamics Days Latin America and the Caribbean 2018 |
| Autore | Martí Arturo C |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (142 p.) |
| Soggetto non controllato |
self-organization
temporal aliasing effect point scatterer recurrence time calcium signals theta neuron synchrony neural network reaction fronts cyclic dynamics annular billiard convection local field potential complex systems Dicke model coupled oscillators diffusive instabilities Slater’s theorem stochastic processes nonlinear dynamics computational methods waves ecological methods sampling rates out of equilibrium system predator–prey system IP3Rs dsitribution birthday problem mean field models population dynamics puffs delay bifurcation epidemic models suppression of synchronization population biology Lyapunov exponent Markov processes synchronization |
| ISBN | 3-03921-504-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367759203321 |
Martí Arturo C
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Mathematical tools for understanding infectious diseases dynamics [[electronic resource] /] / Odo Diekmann, Hans Heesterbeek, and Tom Britton
| Mathematical tools for understanding infectious diseases dynamics [[electronic resource] /] / Odo Diekmann, Hans Heesterbeek, and Tom Britton |
| Autore | Diekmann O |
| Edizione | [Course Book] |
| Pubbl/distr/stampa | Princeton, : Princeton University Press, 2012 |
| Descrizione fisica | 1 online resource (517 p.) |
| Disciplina | 614.4 |
| Altri autori (Persone) |
HeesterbeekHans <1960->
BrittonTom |
| Collana | Princeton series in theoretical and computational biology |
| Soggetto topico |
Epidemiology - Mathematical models
Communicable diseases - Mathematical models |
| Soggetto non controllato |
Bayesian statistical inference
ICU model Markov chain Monte Carlo method Markov chain Monte Carlo methods ReedІrost epidemic age structure asymptotic speed bacterial infections biological interpretation closed population compartmental epidemic systems consistency conditions contact duration demography dependence disease control disease outbreaks disease prevention disease transmission endemic epidemic models epidemic outbreak epidemic epidemiological models epidemiological parameters epidemiology general epidemic growth rate homogeneous community hospital infections hospital patients host population growth host human social behavior i-states individual states infected host infection transmission infection infectious disease epidemiology infectious disease infectious diseases infectious output infective agent infectivity intensive care units intrinsic growth rate larvae macroparasites mathematical modeling mathematical reasoning maximum likelihood estimation microparasites model construction outbreak situations outbreak pair approximation parasite load parasite population models propagation speed reproduction number separable mixing sexual activity stochastic epidemic model structured population models susceptibility vaccination |
| ISBN |
1-283-57875-1
9786613891204 1-4008-4562-9 |
| Classificazione | SCI008000MAT003000MED022090 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front matter -- Contents -- Preface -- Part I. The bare bones: Basic issues in the simplest context -- Part II. Structured populations -- Part III. Case studies on inference -- Part IV. Elaborations -- Bibliography -- Index |
| Record Nr. | UNINA-9910785785403321 |
|
Diekmann O
|
||
| Princeton, : Princeton University Press, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Mathematical tools for understanding infectious diseases dynamics / / Odo Diekmann, Hans Heesterbeek, and Tom Britton
| Mathematical tools for understanding infectious diseases dynamics / / Odo Diekmann, Hans Heesterbeek, and Tom Britton |
| Autore | Diekmann O |
| Edizione | [Course Book] |
| Pubbl/distr/stampa | Princeton, : Princeton University Press, 2012 |
| Descrizione fisica | 1 online resource (517 p.) |
| Disciplina | 614.4 |
| Altri autori (Persone) |
HeesterbeekHans <1960->
BrittonTom |
| Collana | Princeton series in theoretical and computational biology |
| Soggetto topico |
Epidemiology - Mathematical models
Communicable diseases - Mathematical models |
| Soggetto non controllato |
Bayesian statistical inference
ICU model Markov chain Monte Carlo method Markov chain Monte Carlo methods ReedІrost epidemic age structure asymptotic speed bacterial infections biological interpretation closed population compartmental epidemic systems consistency conditions contact duration demography dependence disease control disease outbreaks disease prevention disease transmission endemic epidemic models epidemic outbreak epidemic epidemiological models epidemiological parameters epidemiology general epidemic growth rate homogeneous community hospital infections hospital patients host population growth host human social behavior i-states individual states infected host infection transmission infection infectious disease epidemiology infectious disease infectious diseases infectious output infective agent infectivity intensive care units intrinsic growth rate larvae macroparasites mathematical modeling mathematical reasoning maximum likelihood estimation microparasites model construction outbreak situations outbreak pair approximation parasite load parasite population models propagation speed reproduction number separable mixing sexual activity stochastic epidemic model structured population models susceptibility vaccination |
| ISBN |
1-283-57875-1
9786613891204 1-4008-4562-9 |
| Classificazione | SCI008000MAT003000MED022090 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front matter -- Contents -- Preface -- Part I. The bare bones: Basic issues in the simplest context -- Part II. Structured populations -- Part III. Case studies on inference -- Part IV. Elaborations -- Bibliography -- Index |
| Record Nr. | UNINA-9910816709103321 |
|
Diekmann O
|
||
| Princeton, : Princeton University Press, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||