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Models overestimate Ebola cases

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Evaluations of Interventions Using Mathematical Models with Exponential and Non-exponential Distributions for Disease Stages: The Case of Ebola
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Emerging Viral Diseases
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The IDEA model: A single equation approach to the Ebola forecasting challenge
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Forecasting Ebola with a regression transmission model
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Systematic biases in disease forecasting – The role of behavior change
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Using statistics and mathematical modelling to understand infectious disease outbreaks: COVID-19 as an example
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Simulating the potential role of media coverage and infected bats in the 2014 Ebola outbreak
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Model distinguishability and inference robustness in mechanisms of cholera transmission and loss of immunity
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Mathematical models of Ebola—Consequences of underlying assumptions
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Forecasting the final disease size: comparing calibrations of Bertalanffy–Pütter models
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Ebola: models do more than forecast
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Future behaviours decision-making regarding travel avoidance during COVID-19 outbreaks
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ePyDGGA: automatic configuration for fitting epidemic curves
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Mathematical models: A key tool for outbreak response
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Correction for Lofgren et al., Opinion: Mathematical models: A key tool for outbreak response
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Essential information: Uncertainty and optimal control of Ebola outbreaks
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Individual risk-aversion responses tune epidemics to critical transmissibility ( R = 1)
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Optimal COVID-19 vaccine prioritization by age depends critically on inter-group contacts and vaccination rates
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Applying the unified models of ecology to forecast epidemics, with application to Covid-19
inferred← citeshttps://doi.org/10.1101/461285openalex-snapshot
Real-time projections of epidemic transmission and estimation of vaccination impact during an Ebola virus disease outbreak in Northeastern Democratic Republic of Congo
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Epidemic spreading on evolving signed networks
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Beyond crystal balls: crosscutting solutions in global health to prepare for an unpredictable future
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Spatial Resource Allocation for Emerging Epidemics: A Comparison of Greedy, Myopic, and Dynamic Policies
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Uncovering and resolving challenges of quantitative modeling in a simplified community of interacting cells
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Detecting Presymptomatic Infection Is Necessary to Forecast Major Epidemics in the Earliest Stages of Infectious Disease Outbreaks
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Projections of epidemic transmission and estimation of vaccination impact during an ongoing Ebola virus disease outbreak in Northeastern Democratic Republic of Congo, as of Feb. 25, 2019
inferred← citeshttps://doi.org/10.1371/journal.pone.0213190openalex-snapshot
Projections of Ebola outbreak size and duration with and without vaccine use in Équateur, Democratic Republic of Congo, as of May 27, 2018
inferred← citeshttps://doi.org/10.1371/journal.pone.0264425openalex-snapshot
Spatial model of Ebola outbreaks contained by behavior change
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An updated estimation approach for SEIR models with stochastic perturbations: Application to COVID-19 data in Bogotá
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Strong Inference in Mathematical Modeling: A Method for Robust Science in the Twenty-First Century
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Model-Based Policymaking: A Framework to Promote Ethical “Good Practice” in Mathematical Modeling for Public Health Policymaking
inferred← citeshttps://doi.org/10.4269/ajtmh.20-1147openalex-snapshot
A Bayesian Mixture Model for Predicting the COVID-19 Related Mortality in the United States
inferred← citeshttps://doi.org/10.47102/annals-acadmedsg.v45n4p121openalex-snapshot
Dengue Disease Modelling and Forecasting: Utility and Limitations
inferred← citeshttps://doi.org/10.48550/arxiv.1501.05555openalex-snapshot
Forecasting and Uncertainty in Modeling the 2014-2015 Ebola Epidemic in West Africa
inferred← citeshttps://doi.org/10.48550/arxiv.1709.07319openalex-snapshot
Changing Burial Practices Explain Temporal Trends in the 2014 Ebola Outbreak
inferred← citeshttps://doi.org/10.48550/arxiv.1811.01175openalex-snapshot
Real-time projections of epidemic transmission and estimation of vaccination impact during an Ebola virus disease outbreak in the Eastern region of the Democratic Republic of Congo
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