Spatial epidemiology of networked metapopulation: An overview
An emerging disease is one infectious epidemic caused by a newly transmissible pathogen,
which has either appeared for the first time or already existed in human populations, having …
which has either appeared for the first time or already existed in human populations, having …
[HTML][HTML] Host–parasite coevolution: why changing population size matters
Host–parasite coevolution is widely assumed to have a major influence on biological
evolution, especially as these interactions impose high selective pressure on the …
evolution, especially as these interactions impose high selective pressure on the …
Unifying viral genetics and human transportation data to predict the global transmission dynamics of human influenza H3N2
Information on global human movement patterns is central to spatial epidemiological models
used to predict the behavior of influenza and other infectious diseases. Yet it remains difficult …
used to predict the behavior of influenza and other infectious diseases. Yet it remains difficult …
Sensing the" health state" of a community
Mobile phones are a pervasive platform for opportunistic sensing of behaviors and opinions.
Three studies use location and communication sensors to model individual behaviors and …
Three studies use location and communication sensors to model individual behaviors and …
Epidemic spreading in urban areas using agent-based transportation models
Human mobility is a key element in the understanding of epidemic spreading. Thus, correctly
modeling and quantifying human mobility is critical for studying large-scale spatial …
modeling and quantifying human mobility is critical for studying large-scale spatial …
An agent-based model of epidemic spread using human mobility and social network information
E Frias-Martinez, G Williamson… - 2011 IEEE third …, 2011 - ieeexplore.ieee.org
The recent adoption of ubiquitous computing technologies has enabled capturing large
amounts of human behavioral data. The digital footprints computed from these datasets …
amounts of human behavioral data. The digital footprints computed from these datasets …
Forecasting influenza activity using machine-learned mobility map
Human mobility is a primary driver of infectious disease spread. However, existing data is
limited in availability, coverage, granularity, and timeliness. Data-driven forecasts of disease …
limited in availability, coverage, granularity, and timeliness. Data-driven forecasts of disease …
Mobility traces and spreading of COVID-19
1 Executive summary We use human mobility models, for which we are experts, and attach a
virus infection dynamics to it, for which we are not experts but have taken it from the …
virus infection dynamics to it, for which we are not experts but have taken it from the …
Social sensing for epidemiological behavior change
An important question in behavioral epidemiology and public health is to understand how
individual behavior is affected by illness and stress. Although changes in individual behavior …
individual behavior is affected by illness and stress. Although changes in individual behavior …
Agent-based simulation of pedestrian dynamics for exposure time estimation in epidemic risk assessment
T Harweg, D Bachmann, F Weichert - Journal of Public Health, 2021 - Springer
Purpose With the coronavirus disease 2019 (COVID-19) pandemic spreading across the
world, protective measures for containing the virus are essential, especially as long as no …
world, protective measures for containing the virus are essential, especially as long as no …