Using phenomenological models for forecasting the 2015 Ebola challenge
Background: The rising number of novel pathogens threatening the human population has motivated the application of mathematical modeling for forecasting the trajectory and size of epidemics. Materials and methods: We summarize the real-time forecasting results of the logistic equation during the 201...
Main Authors: | Bruce Pell, Yang Kuang, Cecile Viboud, Gerardo Chowell |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2018-03-01
|
Series: | Epidemics |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1755436516300433 |
Similar Items
-
Modeling rapidly disseminating infectious disease during mass gatherings
by: Chowell Gerardo, et al.
Published: (2012-12-01) -
Is it growing exponentially fast? â Impact of assuming exponential growth for characterizing and forecasting epidemics with initial near-exponential growth dynamics
by: Gerardo Chowell, et al.
Published: (2016-10-01) -
GrowthPredict: A toolbox and tutorial-based primer for fitting and forecasting growth trajectories using phenomenological growth models
by: Gerardo Chowell, et al.
Published: (2024-01-01) -
Synthesizing data and models for the spread of MERS-CoV, 2013: Key role of index cases and hospital transmission
by: Gerardo Chowell, et al.
Published: (2014-12-01) -
Fitting dynamic models to epidemic outbreaks with quantified uncertainty: A primer for parameter uncertainty, identifiability, and forecasts
by: Gerardo Chowell
Published: (2017-08-01)