[HTML][HTML] Thinking clearly about social aspects of infectious disease transmission
C Buckee, A Noor, L Sattenspiel - Nature, 2021 - nature.com
Social and cultural forces shape almost every aspect of infectious disease transmission in
human populations, as well as our ability to measure, understand, and respond to …
human populations, as well as our ability to measure, understand, and respond to …
Deep learning for Covid-19 forecasting: State-of-the-art review.
The Covid-19 pandemic has galvanized scientists to apply machine learning methods to
help combat the crisis. Despite the significant amount of research there exists no …
help combat the crisis. Despite the significant amount of research there exists no …
[HTML][HTML] The united states covid-19 forecast hub dataset
Academic researchers, government agencies, industry groups, and individuals have
produced forecasts at an unprecedented scale during the COVID-19 pandemic. To leverage …
produced forecasts at an unprecedented scale during the COVID-19 pandemic. To leverage …
[HTML][HTML] Predictive performance of international COVID-19 mortality forecasting models
Forecasts and alternative scenarios of COVID-19 mortality have been critical inputs for
pandemic response efforts, and decision-makers need information about predictive …
pandemic response efforts, and decision-makers need information about predictive …
[HTML][HTML] A pre-registered short-term forecasting study of COVID-19 in Germany and Poland during the second wave
Disease modelling has had considerable policy impact during the ongoing COVID-19
pandemic, and it is increasingly acknowledged that combining multiple models can improve …
pandemic, and it is increasingly acknowledged that combining multiple models can improve …
[HTML][HTML] Incorporating variant frequencies data into short-term forecasting for COVID-19 cases and deaths in the USA: a deep learning approach
Background Since the US reported its first COVID-19 case on January 21, 2020, the science
community has been applying various techniques to forecast incident cases and deaths. To …
community has been applying various techniques to forecast incident cases and deaths. To …
Hawkes process modeling of COVID-19 with mobility leading indicators and spatial covariates
Hawkes processes are used in statistical modeling for event clustering and causal inference,
while they also can be viewed as stochastic versions of popular compartmental models used …
while they also can be viewed as stochastic versions of popular compartmental models used …
Can auxiliary indicators improve COVID-19 forecasting and hotspot prediction?
Short-term forecasts of traditional streams from public health reporting (such as cases,
hospitalizations, and deaths) are a key input to public health decision-making during a …
hospitalizations, and deaths) are a key input to public health decision-making during a …
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 …
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 …