about
Simulation of an SEIR infectious disease model on the dynamic contact network of conference attendeesThe failure of R0The impact of the unstructured contacts component in influenza pandemic modelingEvidence-Based Biosafety: a Review of the Principles and Effectiveness of Microbiological Containment MeasuresToward Standardizing a Lexicon of Infectious Disease Modeling TermsAn IDEA for short term outbreak projection: nearcasting using the basic reproduction number.Transmission characteristics of different students during a school outbreak of (H1N1) pdm09 influenza in China, 2009.Augmenting Epidemiological Models with Point-Of-Care Diagnostics Data.An approach to and web-based tool for infectious disease outbreak intervention analysis.Optimized strategy for the control and prevention of newly emerging influenza revealed by the spread dynamics model.Emergence of viral diseases: mathematical modeling as a tool for infection control, policy and decision making.Infectious disease transmission as a forensic problem: who infected whom?Eliminating hepatitis C virus as a public health threat among HIV-positive men who have sex with men: a multi-modelling approach to understand differences in sexual risk behaviour.
P2860
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P2860
description
2007 nî lūn-bûn
@nan
2007 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի մարտին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
name
Theory versus data: how to calculate R0?
@ast
Theory versus data: how to calculate R0?
@en
type
label
Theory versus data: how to calculate R0?
@ast
Theory versus data: how to calculate R0?
@en
prefLabel
Theory versus data: how to calculate R0?
@ast
Theory versus data: how to calculate R0?
@en
P2860
P1433
P1476
Theory versus data: how to calculate R0?
@en
P2093
Raffaele Vardavas
Romulus Breban
P2860
P356
10.1371/JOURNAL.PONE.0000282
P407
P50
P577
2007-03-14T00:00:00Z