Data-centric epidemic forecasting: A survey
The COVID-19 pandemic has brought forth the importance of epidemic forecasting for
decision makers in multiple domains, ranging from public health to the economy as a whole …
decision makers in multiple domains, ranging from public health to the economy as a whole …
Disentangling the rhythms of human activity in the built environment for airborne transmission risk: an analysis of large-scale mobility data
Background: Since the outset of the COVID-19 pandemic, substantial public attention has
focused on the role of seasonality in impacting transmission. Misconceptions have relied on …
focused on the role of seasonality in impacting transmission. Misconceptions have relied on …
Covid-19 forecasts using internet search information in the united states
As the COVID-19 ravaging through the globe, accurate forecasts of the disease spread are
crucial for situational awareness, resource allocation, and public health decision-making …
crucial for situational awareness, resource allocation, and public health decision-making …
Assessing Human Judgment Forecasts in the Rapid Spread of the Mpox Outbreak: Insights and Challenges for Pandemic Preparedness
In May 2022, mpox (formerly monkeypox) spread to non-endemic countries rapidly. Human
judgment is a forecasting approach that has been sparsely evaluated during the beginning …
judgment is a forecasting approach that has been sparsely evaluated during the beginning …
Robust Scenario Interpretation from Multi-model Prediction Efforts
Y Lu, A Srivastava - arXiv preprint arXiv:2208.05075, 2022 - arxiv.org
Multi-model prediction efforts in infectious disease modeling and climate modeling involve
multiple teams independently producing projections under various scenarios. Often these …
multiple teams independently producing projections under various scenarios. Often these …
COVID-19 and Influenza Joint Forecasts Using Internet Search Information in the United States
As COVID-19 pandemic progresses, severe flu seasons may happen alongside an increase
in cases in cases and death of COVID-19, causing severe burdens on health care resources …
in cases in cases and death of COVID-19, causing severe burdens on health care resources …
Forecasting Contagion Processes on Heterogeneous Complex Networks
K Mu - 2023 - search.proquest.com
Real-time epidemic forecasting using mathematical and computational models of infectious
disease transmission is increasingly used to provide scenario analysis and forecasts to help …
disease transmission is increasingly used to provide scenario analysis and forecasts to help …
COVID-19 India Dataset: Parsing COVID-19 Data in Daily Health Bulletins from States in India
M Agarwal, T Chakraborti, S Grover… - arXiv preprint arXiv …, 2021 - arxiv.org
While India has been one of the hotspots of COVID-19, data about the pandemic from the
country has proved to be largely inaccessible at scale. Much of the data exists in …
country has proved to be largely inaccessible at scale. Much of the data exists in …
Forecasting the Epidemics with Reaction Diffusion Processes upon Networks
X Xiong - 2021 - search.proquest.com
Reliable and accurate forecasts of epidemics in real-time have been critical in helping public
health agencies and the society to react and respond to emergent infectious disease …
health agencies and the society to react and respond to emergent infectious disease …