Background Computer simulation models are used increasingly to support public health
research and policy, but questions about their quality persist. The purpose of this article is to …

Population health decision makers must consider complex relationships between multiple
concepts measured with differential accuracy from heterogeneous data sources. Population …

Background Reductions in preventable risks associated with cardiovascular disease have
contributed to a steady decrease in its incidence over the past 50 years in most developed …

Measuring and monitoring non-pharmaceutical interventions is important yet challenging
due to the need to clearly define and encode non-pharmaceutical interventions, to collect …

The paper presents an overview of approaches to encoding uncertain causal knowledge in
formal ontologies and demonstrates how these approaches can be used in a semantic-…

As the COVID-19 pandemic continues to unfold, understanding the global impact of non-pharmacological
interventions (NPI) is important for formulating effective intervention strategies, …

BioCaster was launched in 2008 to provide an ontology-based text mining system for early
disease detection from open news sources. Following a 6-year break, we have re-launched …

In this time of increasing concern over the deadly and costly threats of infectious diseases,
preparation for, early detection of, and timely response to emerging infectious diseases and …

Objective: Standardized surveillance syndromes do not exist but would facilitate sharing
data among surveillance systems and comparing the accuracy of existing systems. The …

… We would also like to express our sincere gratitude to Anya Okhmatovskaia and Nicholas …
Meng, Z.; Okhmatovskaia, A.; Polleri, M.; Shen, Y.; Powell, G.; Fu, Z.; Ganser, I.; Zhang, M.; King…