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 |