Electrical load forecasting models: A critical systematic review
Electricity forecasting is an essential component of smart grid, which has attracted
increasing academic interest. Forecasting enables informed and efficient responses for …
increasing academic interest. Forecasting enables informed and efficient responses for …
Reconciling evidence-based medicine and precision medicine in the era of big data: challenges and opportunities
JS Beckmann, D Lew - Genome medicine, 2016 - Springer
This era of groundbreaking scientific developments in high-resolution, high-throughput
technologies is allowing the cost-effective collection and analysis of huge, disparate …
technologies is allowing the cost-effective collection and analysis of huge, disparate …
JUE Insight: The geographic spread of COVID-19 correlates with the structure of social networks as measured by Facebook
We use aggregated data from Facebook to show that COVID-19 is more likely to spread
between regions with stronger social network connections. Areas with more social ties to two …
between regions with stronger social network connections. Areas with more social ties to two …
An early warning approach to monitor COVID-19 activity with multiple digital traces in near real time
Given still-high levels of coronavirus disease 2019 (COVID-19) susceptibility and
inconsistent transmission-containing strategies, outbreaks have continued to emerge across …
inconsistent transmission-containing strategies, outbreaks have continued to emerge across …
Demographic inference and representative population estimates from multilingual social media data
Social media provide access to behavioural data at an unprecedented scale and granularity.
However, using these data to understand phenomena in a broader population is difficult due …
However, using these data to understand phenomena in a broader population is difficult due …
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 …
[HTML][HTML] Collective response to media coverage of the COVID-19 pandemic on Reddit and Wikipedia: mixed-methods analysis
Background The exposure and consumption of information during epidemic outbreaks may
alter people's risk perception and trigger behavioral changes, which can ultimately affect the …
alter people's risk perception and trigger behavioral changes, which can ultimately affect the …
Recommended reporting items for epidemic forecasting and prediction research: The EPIFORGE 2020 guidelines
Background The importance of infectious disease epidemic forecasting and prediction
research is underscored by decades of communicable disease outbreaks, including COVID …
research is underscored by decades of communicable disease outbreaks, including COVID …
[HTML][HTML] Forecasting seasonal influenza with a state-space SIR model
Seasonal influenza is a serious public health and societal problem due to its consequences
resulting from absenteeism, hospitalizations, and deaths. The overall burden of influenza is …
resulting from absenteeism, hospitalizations, and deaths. The overall burden of influenza is …
Computational socioeconomics
Uncovering the structure of socioeconomic systems and timely estimation of socioeconomic
status are significant for economic development. The understanding of socioeconomic …
status are significant for economic development. The understanding of socioeconomic …