A spatially aware, agent based model of disease spread. There are three classes of people: susceptible (healthy), infected (sick and infectious), and recovered (healthy and temporarily immune).
This systems model will help students understand the different systems that make up our body and how choices we make can impact how those systems work. Factors are based on daily choices.
Medición de la concentración de farmaco en plasma sanguineo en el tiempo. Se ha modificado el calulo de niveles toxicos del farmaco. Se interpreta que a valores mas altos, mas toxico es.
El peso del paciente se mide en Kg y la dosis en milígramos.
Data from two rounds of using Disease Participatory Simulation in class. Participants + Androids = 39. By adjusting Rate Constant, stocks and flows representation can be used to match data from either Trial 1 or Trial 2. An example of matching Trial 1 is shown when this simulation is run. Graph of "Area" (Well * Sick) has the same shape as Rate Catching graph. The Rate Catching graph is much smaller because the Well * Sick values are multiplied by a small constant that is the Rate Constant.
This systems model will help students understand the different systems that make up our body and how choices we make can impact how those systems work. Factors are based on daily choices.
This systems model will help students understand the different systems that make up our body and how choices we make can impact how those systems work. Factors are based on daily choices.
