Agent_Zero: Toward Neurocognitive Foundations for Generative Social Science introduces neuro-cognitively complex agents who make decisions based on a combination of emotional reactivity, boundedly rational deliberations, and social network pressures.
This new algorithm provides valuable information that can impact infection prevention recommendations, public health practice, and healthcare delivery. The ALERT algorithm provides a simple, robust, and accurate metric for determining the onset of elevated influenza activity at the community level.
CLARA (Computational Arthropod Agent)
CLARA is a prototype agent-based modeling platform for the simulation of the natural history and behavior of large numbers of individual mosquitos as agents in ahuman environment. Each individual mosquito is represented to respond to environmental cues, feed on human agents, become infected with pathogens (e.g., dengue or malaria) and transmit the infection toother humans.
FRED is an agent-based epidemic modeling tool. FRED helps to analyze the dynamics of infectious disease epidemics and the likely effects of mitigation strategies -- including vaccination, anti-viral drugs, and school closure policies -- in specific geographic regions. FRED uses census-based synthetic populations that capture the demographic and geographic distributions of the population, as well as detailed household, school, and workplace social networks.
GAIA is a visualization and analysis tool designed specifically to accommodate epidemiological research. GAIA is a web-service that is accessible to the public.
The GSAM includes 6.5 billion distinct individuals for epidemic projection on a planetary scale. It permits mid-run and 'on-the-fly' introduction of mitigation measures such as school closures, and endogenous changes in contact behavior and vaccine uptake.
IRED (Inter-Region Epidemic Dynamics Model)
IRED simulates the spread of contagious disease throughout a large multi-patch region such as the United States. For any initial geographic distribution of index cases, the IRED model quickly generates an ensemble of stochastic realizations and computes the mean and standard deviation of incidence for every patch, notably, the unobserved ones. It allows short-term epidemic forecasts - sometimes called 'now-casts' - to be made in a mathematically rigorous way from partial surveillance data.
The purpose of ISAAC is to provide reliable indicators to measure local public health agencies' response behavior to a wide variety of threats in local public health systems. ISSAC measures the stress of emergency response at levels of agency, sub-agency unit, and multi-agency system. ISAAC can be used to prepare public health agencies for emergencies and to study the impact of funding cuts on emergency adaptive response.
LENA provides a visualization of the emergency preparedness, response, and recovery statutes and regulations directing agents in the public health system. LENA can compare legal networks of two States or between a State and the Federal Government. These legal networks can be adjusted to represent certain types of emergencies and action/goal pairings. LENA can help determine how laws impact capacity of the Public Health System to plan for and respond to emergencies.
Project Tycho™ aims to advance the availability and use of public health data for science and public health policy. The Project Tycho™ database includes data from all weekly notifiable disease reports for the United States dating back to 1888 in freely accessible digital form, as well as selected analytical and visualization tools.
VELMA is a Java tool for visualizing alignments of large numbers of biological sequences that exceed the capabilities of existing software.