Genomics and epidemiology of the P. 1 SARS-CoV-2 lineage in Manaus, Brazil
Cases of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in
Manaus, Brazil, resurged in late 2020 despite previously high levels of infection. Genome …
Manaus, Brazil, resurged in late 2020 despite previously high levels of infection. Genome …
Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV-2)
Estimation of the prevalence and contagiousness of undocumented novel coronavirus
[severe acute respiratory syndrome–coronavirus 2 (SARS-CoV-2)] infections is critical for …
[severe acute respiratory syndrome–coronavirus 2 (SARS-CoV-2)] infections is critical for …
Opportunities and challenges in modeling emerging infectious diseases
The term “pathogen emergence” encompasses everything from previously unidentified
viruses entering the human population to established pathogens invading new populations …
viruses entering the human population to established pathogens invading new populations …
Identifying climate drivers of infectious disease dynamics: recent advances and challenges ahead
Climate change is likely to profoundly modulate the burden of infectious diseases. However,
attributing health impacts to a changing climate requires being able to associate changes in …
attributing health impacts to a changing climate requires being able to associate changes in …
Combining search, social media, and traditional data sources to improve influenza surveillance
We present a machine learning-based methodology capable of providing real-time
(“nowcast”) and forecast estimates of influenza activity in the US by leveraging data from …
(“nowcast”) and forecast estimates of influenza activity in the US by leveraging data from …
Mathematical modeling of epidemic diseases; a case study of the COVID-19 coronavirus
R Sameni - arxiv preprint arxiv:2003.11371, 2020 - arxiv.org
In this research, we study the propagation patterns of epidemic diseases such as the COVID-
19 coronavirus, from a mathematical modeling perspective. The study is based on an …
19 coronavirus, from a mathematical modeling perspective. The study is based on an …
A collaborative multiyear, multimodel assessment of seasonal influenza forecasting in the United States
Influenza infects an estimated 9–35 million individuals each year in the United States and is
a contributing cause for between 12,000 and 56,000 deaths annually. Seasonal outbreaks …
a contributing cause for between 12,000 and 56,000 deaths annually. Seasonal outbreaks …
Cola-GNN: Cross-location attention based graph neural networks for long-term ILI prediction
Forecasting influenza-like illness (ILI) is of prime importance to epidemiologists and health-
care providers. Early prediction of epidemic outbreaks plays a pivotal role in disease …
care providers. Early prediction of epidemic outbreaks plays a pivotal role in disease …
[HTML][HTML] Twitter improves influenza forecasting
Accurate disease forecasts are imperative when preparing for influenza epidemic outbreaks;
nevertheless, these forecasts are often limited by the time required to collect new, accurate …
nevertheless, these forecasts are often limited by the time required to collect new, accurate …
Applying infectious disease forecasting to public health: a path forward using influenza forecasting examples
CS Lutz, MP Huynh, M Schroeder, S Anyatonwu… - BMC Public Health, 2019 - Springer
Background Infectious disease forecasting aims to predict characteristics of both seasonal
epidemics and future pandemics. Accurate and timely infectious disease forecasts could aid …
epidemics and future pandemics. Accurate and timely infectious disease forecasts could aid …