An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation
Infectious disease modelling can serve as a powerful tool for situational awareness and
decision support for policy makers. However, COVID-19 modelling efforts faced many …
decision support for policy makers. However, COVID-19 modelling efforts faced many …
[HTML][HTML] Public health impact of the US Scenario Modeling Hub
Beginning in December 2020, the COVID-19 Scenario Modeling Hub has provided
quantitative scenario-based projections for cases, hospitalizations, and deaths, aggregated …
quantitative scenario-based projections for cases, hospitalizations, and deaths, aggregated …
One year of modeling and forecasting COVID-19 transmission to support policymakers in Connecticut
To support public health policymakers in Connecticut, we developed a flexible county-
structured compartmental SEIR-type model of SARS-CoV-2 transmission and COVID-19 …
structured compartmental SEIR-type model of SARS-CoV-2 transmission and COVID-19 …
Improving pandemic response: employing mathematical modeling to confront coronavirus disease 2019
M Biggerstaff, RB Slayton… - Clinical Infectious …, 2022 - academic.oup.com
Modeling complements surveillance data to inform coronavirus disease 2019 (COVID-19)
public health decision making and policy development. This includes the use of modeling to …
public health decision making and policy development. This includes the use of modeling to …
[HTML][HTML] Infectious disease modelling for SARS-CoV-2 in Africa to guide policy: A systematic review
Applied epidemiological models have played a critical role in understanding the
transmission and control of disease outbreaks. Their utility and accuracy in decision-making …
transmission and control of disease outbreaks. Their utility and accuracy in decision-making …
Real-time COVID-19 forecasting: challenges and opportunities of model performance and translation
The COVID-19 pandemic brought mathematical modelling into the spotlight, as scientists
rushed to use data to understand transmission patterns and disease severity, and to …
rushed to use data to understand transmission patterns and disease severity, and to …
[HTML][HTML] Informing pandemic response in the face of uncertainty. An evaluation of the US COVID-19 Scenario Modeling Hub
Our ability to forecast epidemics more than a few weeks into the future is constrained by the
complexity of disease systems, our limited ability to measure the current state of an …
complexity of disease systems, our limited ability to measure the current state of an …
Collaborative hubs: making the most of predictive epidemic modeling
The COVID-19 pandemic has made it clear that epidemic models play an important role in
how governments and the public respond to infectious disease crises. Early in the …
how governments and the public respond to infectious disease crises. Early in the …
A multi-method approach to modeling COVID-19 disease dynamics in the United States
A Mokhtari, C Mineo, J Kriseman, P Kremer, L Neal… - Scientific reports, 2021 - nature.com
In this paper, we proposed a multi-method modeling approach to community-level spreading
of COVID-19 disease. Our methodology was composed of interconnected age-stratified …
of COVID-19 disease. Our methodology was composed of interconnected age-stratified …
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 …