Simple Epidemic Network Model for Highly Heterogeneous Populations.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of theoretical biology"
DOI: 10.1016/j.jtbi.2019.110056
Abstract: Network models for disease transmission and dynamics are popular because they are among the simplest agent-based models. Highly heterogeneous populations (in the number of contacts) may be modeled by networks with long-tailed degree distributions for… read more here.
Keywords: mean degree; network; highly heterogeneous; model ... See more keywords
Estimation and correction of bias in network simulations based on respondent-driven sampling data
Sign Up to like & getrecommendations! Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-63269-0
Abstract: Respondent-driven sampling (RDS) is widely used for collecting data on hard-to-reach populations, including information about the structure of the networks connecting the individuals. Characterizing network features can be important for designing and evaluating health programs,… read more here.
Keywords: driven sampling; mean degree; estimation correction; network ... See more keywords