[HTML][HTML] The statistics of epidemic transitions
Emerging and re-emerging pathogens exhibit very complex dynamics, are hard to model
and difficult to predict. Their dynamics might appear intractable. However, new statistical …
and difficult to predict. Their dynamics might appear intractable. However, new statistical …
[HTML][HTML] Eigenvalues of the covariance matrix as early warning signals for critical transitions in ecological systems
Many ecological systems are subject critical transitions, which are abrupt changes to
contrasting states triggered by small changes in some key component of the system. Temporal …
contrasting states triggered by small changes in some key component of the system. Temporal …
Transient indicators of tipping points in infectious diseases
SM O'Regan, EB O'Dea… - Journal of the Royal …, 2020 - royalsocietypublishing.org
The majority of known early warning indicators of critical transitions rely on asymptotic
resilience and critical slowing down. In continuous systems, critical slowing down is …
resilience and critical slowing down. In continuous systems, critical slowing down is …
[HTML][HTML] Forecasting infectious disease emergence subject to seasonal forcing
Background Despite high vaccination coverage, many childhood infections pose a growing
threat to human populations. Accurate disease forecasting would be of tremendous value to …
threat to human populations. Accurate disease forecasting would be of tremendous value to …
[HTML][HTML] Anticipating epidemic transitions with imperfect data
Epidemic transitions are an important feature of infectious disease systems. As the transmissibility
of a pathogen increases, the dynamics of disease spread shifts from limited stuttering …
of a pathogen increases, the dynamics of disease spread shifts from limited stuttering …
Anticipating infectious disease re-emergence and elimination: a test of early warning signals using empirically based models
AT Tredennick, EB O'Dea… - Journal of the …, 2022 - royalsocietypublishing.org
Timely forecasts of the emergence, re-emergence and elimination of human infectious
diseases allow for proactive, rather than reactive, decisions that save lives. Recent theory …
diseases allow for proactive, rather than reactive, decisions that save lives. Recent theory …
A semi-parametric, state-space compartmental model with time-dependent parameters for forecasting COVID-19 cases, hospitalizations and deaths
EB O'Dea, JM Drake - Journal of the Royal Society …, 2022 - royalsocietypublishing.org
Short-term forecasts of the dynamics of coronavirus disease 2019 (COVID-19) in the period
up to its decline following mass vaccination was a task that received much attention but …
up to its decline following mass vaccination was a task that received much attention but …
[HTML][HTML] Fitting outbreak models to data from many small norovirus outbreaks
Infectious disease often occurs in small, independent outbreaks in populations with varying
characteristics. Each outbreak by itself may provide too little information for accurate …
characteristics. Each outbreak by itself may provide too little information for accurate …
Waiting time to infectious disease emergence
Emerging diseases must make a transition from stuttering chains of transmission to
sustained chains of transmission, but this critical transition need not coincide with the system …
sustained chains of transmission, but this critical transition need not coincide with the system …
Challenges of COVID-19 Case Forecasting in the US, 2020-2021
During the COVID-19 pandemic, forecasting COVID-19 trends to support planning and
response was a priority for scientists and decision makers alike. In the United States, COVID-19 …
response was a priority for scientists and decision makers alike. In the United States, COVID-19 …