| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Application of the CDC EbolaResponse Modeling tool to disease predictions
|
Gaffey, Robert H.
|
|
2018
|
22 |
C |
p. 22-28
|
artikel
|
| 2 |
A simple approach to measure transmissibility and forecast incidence
|
Nouvellet, Pierre
|
|
2018
|
22 |
C |
p. 29-35
|
artikel
|
| 3 |
Forecasting Ebola with a regression transmission model
|
Asher, Jason
|
|
2018
|
22 |
C |
p. 50-55
|
artikel
|
| 4 |
IFC, Ed Board
|
|
|
2018
|
22 |
C |
p. IFC
|
artikel
|
| 5 |
Real-time forecasting of infectious disease dynamics with a stochastic semi-mechanistic model
|
Funk, Sebastian
|
|
2018
|
22 |
C |
p. 56-61
|
artikel
|
| 6 |
The IDEA model: A single equation approach to the Ebola forecasting challenge
|
Tuite, Ashleigh R.
|
|
2018
|
22 |
C |
p. 71-77
|
artikel
|
| 7 |
The RAPIDD Ebola forecasting challenge: Model description and synthetic data generation
|
Ajelli, Marco
|
|
2018
|
22 |
C |
p. 3-12
|
artikel
|
| 8 |
The RAPIDD Ebola forecasting challenge special issue: Preface
|
Viboud, Cécile
|
|
2018
|
22 |
C |
p. 1-2
|
artikel
|
| 9 |
The RAPIDD ebola forecasting challenge: Synthesis and lessons learnt
|
Viboud, Cécile
|
|
2018
|
22 |
C |
p. 13-21
|
artikel
|
| 10 |
Two approaches to forecast Ebola synthetic epidemics
|
Champredon, David
|
|
2018
|
22 |
C |
p. 36-42
|
artikel
|
| 11 |
Using data-driven agent-based models for forecasting emerging infectious diseases
|
Venkatramanan, Srinivasan
|
|
2018
|
22 |
C |
p. 43-49
|
artikel
|
| 12 |
Using phenomenological models for forecasting the 2015 Ebola challenge
|
Pell, Bruce
|
|
2018
|
22 |
C |
p. 62-70
|
artikel
|
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