[HTML][HTML] Sources, diffusion and prediction in COVID-19 pandemic: lessons learned to face next health emergency
M Coccia - AIMS Public Health, 2023 - ncbi.nlm.nih.gov
Scholars and experts argue that future pandemics and/or epidemics are inevitable events,
and the problem is not whether they will occur, but when a new health emergency will …
and the problem is not whether they will occur, but when a new health emergency will …
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 …
The US COVID-19 Trends and Impact Survey: Continuous real-time measurement of COVID-19 symptoms, risks, protective behaviors, testing, and vaccination
The US COVID-19 Trends and Impact Survey (CTIS) is a large, cross-sectional, internet-
based survey that has operated continuously since April 6, 2020. By inviting a random …
based survey that has operated continuously since April 6, 2020. By inviting a random …
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 …
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 …
Impacts of human mobility on the citywide transmission dynamics of 18 respiratory viruses in pre-and post-COVID-19 pandemic years
AC Perofsky, CL Hansen, R Burstein, S Boyle… - Nature …, 2024 - nature.com
Many studies have used mobile device location data to model SARS-CoV-2 dynamics, yet
relationships between mobility behavior and endemic respiratory pathogens are less …
relationships between mobility behavior and endemic respiratory pathogens are less …
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 …
Exploring the big data paradox for various estimands using vaccination data from the global COVID-19 Trends and Impact Survey (CTIS)
Selection bias poses a substantial challenge to valid statistical inference in nonprobability
samples. This study compared estimates of the first-dose COVID-19 vaccination rates …
samples. This study compared estimates of the first-dose COVID-19 vaccination rates …
Epidemic tracking and forecasting: Lessons learned from a tumultuous year
R Rosenfeld, RJ Tibshirani - Proceedings of the National …, 2021 - National Acad Sciences
Epidemic forecasting has garnered increasing interest in the last decade, nurtured and
scaffolded by various forecasting challenges organized by groups within the US federal …
scaffolded by various forecasting challenges organized by groups within the US federal …
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 …