Estimating in real time the efficacy of measures to control emerging communicable diseases.
about
The failure of R0Intrinsic and realized generation intervals in infectious-disease transmissionReal-Time Assessment of Health-Care Requirements During the Zika Virus Epidemic in MartiniqueA systematic review to identify areas of enhancements of pandemic simulation models for operational use at provincial and local levels.The severe acute respiratory syndrome epidemic in mainland China dissected.Determining the dynamics of influenza transmission by ageTime variations in the transmissibility of pandemic influenza in Prussia, Germany, from 1918-19.Transmissibility of the influenza virus in the 1918 pandemic.Real time bayesian estimation of the epidemic potential of emerging infectious diseasesInfectious disease modeling methods as tools for informing response to novel influenza viruses of unknown pandemic potential.The effective reproduction number of pandemic influenza: prospective estimation.Contact intervals, survival analysis of epidemic data, and estimation of R(0)Estimating reproduction numbers for adults and children from case data.Improving the evidence base for decision making during a pandemic: the example of 2009 influenza A/H1N1.Capturing the time-varying drivers of an epidemic using stochastic dynamical systems.On the estimation of the reproduction number based on misreported epidemic data.Bayesian reconstruction of disease outbreaks by combining epidemiologic and genomic data.Estimating individual and household reproduction numbers in an emerging epidemicPredicting the herd immunity threshold during an outbreak: a recursive approach.The Early Transmission Dynamics of H1N1pdm Influenza in the United Kingdom.The ideal reporting interval for an epidemic to objectively interpret the epidemiological time course.Methods to infer transmission risk factors in complex outbreak data.A Likelihood Approach for Real-Time Calibration of Stochastic Compartmental Epidemic ModelsUnraveling the drivers of MERS-CoV transmissionA Resampling-Based Test to Detect Person-To-Person Transmission of Infectious Disease.A new framework and software to estimate time-varying reproduction numbers during epidemicsA likelihood-based method for real-time estimation of the serial interval and reproductive number of an epidemic.Emergence of viral diseases: mathematical modeling as a tool for infection control, policy and decision making.Effective reproduction numbers are commonly overestimated early in a disease outbreak.Effectiveness of control measures during the SARS epidemic in Beijing: a comparison of the Rt curve and the epidemic curve.Mathematical models used to inform study design or surveillance systems in infectious diseases: a systematic review.Early Real-Time Estimation of the Basic Reproduction Number of Emerging Infectious DiseasesMitigation of Influenza B Epidemic with School Closures, Hong Kong, 2018
P2860
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P2860
Estimating in real time the efficacy of measures to control emerging communicable diseases.
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年学术文章
@wuu
2006年学术文章
@zh
2006年学术文章
@zh-cn
2006年学术文章
@zh-hans
2006年学术文章
@zh-my
2006年学术文章
@zh-sg
2006年學術文章
@yue
2006年學術文章
@zh-hant
name
Estimating in real time the ef ...... merging communicable diseases.
@en
Estimating in real time the ef ...... merging communicable diseases.
@nl
type
label
Estimating in real time the ef ...... merging communicable diseases.
@en
Estimating in real time the ef ...... merging communicable diseases.
@nl
prefLabel
Estimating in real time the ef ...... merging communicable diseases.
@en
Estimating in real time the ef ...... merging communicable diseases.
@nl
P2860
P356
P1476
Estimating in real time the ef ...... merging communicable diseases.
@en
P2093
Alain-Jacques Valleron
Guy Thomas
P2860
P304
P356
10.1093/AJE/KWJ274
P407
P577
2006-08-03T00:00:00Z