[HTML][HTML] Redefining pandemic preparedness: Multidisciplinary insights from the CERP modelling workshop in infectious diseases, workshop report
MC Nunes, E Thommes, H Fröhlich, A Flahault… - Infectious Disease …, 2024 - Elsevier
Abstract In July 2023, the Center of Excellence in Respiratory Pathogens organized a two-
day workshop on infectious diseases modelling and the lessons learnt from the Covid-19 …
day workshop on infectious diseases modelling and the lessons learnt from the Covid-19 …
[HTML][HTML] The US COVID-19 and Influenza Scenario Modeling Hubs: delivering long-term projections to guide policy
Abstract Between December 2020 and April 2023, the COVID-19 Scenario Modeling Hub
(SMH) generated operational multi-month projections of COVID-19 burden in the US to …
(SMH) generated operational multi-month projections of COVID-19 burden in the US to …
Mechanistic models for West Nile virus transmission: a systematic review of features, aims and parametrization
MM de Wit, A Dimas Martins… - … of the Royal …, 2024 - royalsocietypublishing.org
Mathematical models within the Ross–Macdonald framework increasingly play a role in our
understanding of vector-borne disease dynamics and as tools for assessing scenarios to …
understanding of vector-borne disease dynamics and as tools for assessing scenarios to …
[HTML][HTML] Development of COVID-19 vaccine policy—United States, 2020–2023
SE Oliver, M Wallace, E Twentyman, DL Moulia… - Vaccine, 2023 - Elsevier
COVID-19 vaccines represent a great scientific and public health achievement in the face of
overwhelming pressures from a global pandemic, preventing millions of hospitalizations and …
overwhelming pressures from a global pandemic, preventing millions of hospitalizations and …
[HTML][HTML] COVSIM: A stochastic agent-based COVID-19 SIMulation model for North Carolina
We document the evolution and use of the stochastic agent-based COVID-19 simulation
model (COVSIM) to study the impact of population behaviors and public health policy on …
model (COVSIM) to study the impact of population behaviors and public health policy on …
[HTML][HTML] flepiMoP: The evolution of a flexible infectious disease modeling pipeline during the COVID-19 pandemic
The COVID-19 pandemic led to an unprecedented demand for projections of disease
burden and healthcare utilization under scenarios ranging from unmitigated spread to strict …
burden and healthcare utilization under scenarios ranging from unmitigated spread to strict …
[HTML][HTML] Covid19Vaxplorer: a free, online, user-friendly COVID-19 Vaccine Allocation Comparison Tool
There are many COVID-19 vaccines currently available, however, Low-and middle-income
countries (LMIC) still have large proportions of their populations unvaccinated. Decision …
countries (LMIC) still have large proportions of their populations unvaccinated. Decision …
[HTML][HTML] Projecting the future impact of emerging SARS-CoV-2 variants under uncertainty: Modeling the initial Omicron outbreak
Over the past several years, the emergence of novel SARS-CoV-2 variants has led to
multiple waves of increased COVID-19 incidence. When the Omicron variant emerged, there …
multiple waves of increased COVID-19 incidence. When the Omicron variant emerged, there …
Best practices for estimating and reporting epidemiological delay distributions of infectious diseases using public health surveillance and healthcare data
Epidemiological delays, such as incubation periods, serial intervals, and hospital lengths of
stay, are among key quantities in infectious disease epidemiology that inform public health …
stay, are among key quantities in infectious disease epidemiology that inform public health …
hubEnsembles: Ensembling Methods in R
L Shandross, E Howerton, L Contamin, H Hochheiser… - medRxiv, 2024 - medrxiv.org
Combining predictions from multiple models into an ensemble is a widely used practice
across many fields with demonstrated performance benefits. The R package hubEnsembles …
across many fields with demonstrated performance benefits. The R package hubEnsembles …