[HTML][HTML] The statistics of epidemic transitions

…, MJ Ferrari, É Marty, PB Miller, EB O'dea… - PLoS computational …, 2019 - journals.plos.org
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 …

[HTML][HTML] Eigenvalues of the covariance matrix as early warning signals for critical transitions in ecological systems

S Chen, EB O'Dea, JM Drake, BI Epureanu - Scientific reports, 2019 - nature.com
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 …

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 …

[HTML][HTML] Forecasting infectious disease emergence subject to seasonal forcing

PB Miller, EB O'Dea, P Rohani, JM Drake - Theoretical Biology and …, 2017 - Springer
Background Despite high vaccination coverage, many childhood infections pose a growing
threat to human populations. Accurate disease forecasting would be of tremendous value to …

[HTML][HTML] Anticipating epidemic transitions with imperfect data

TS Brett, EB O'Dea, É Marty, PB Miller… - PLoS computational …, 2018 - journals.plos.org
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 …

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 …

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 …

[HTML][HTML] Fitting outbreak models to data from many small norovirus outbreaks

EB O'Dea, KM Pepin, BA Lopman, CO Wilke - Epidemics, 2014 - Elsevier
Infectious disease often occurs in small, independent outbreaks in populations with varying
characteristics. Each outbreak by itself may provide too little information for accurate …

Waiting time to infectious disease emergence

CJ Dibble, EB O'Dea, AW Park… - Journal of the Royal …, 2016 - royalsocietypublishing.org
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 …

Challenges of COVID-19 Case Forecasting in the US, 2020-2021

V Lopez, EY Cramer, R Pagano, JM Drake, EB O'Dea… - medRxiv, 2023 - medrxiv.org
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 …