Population

Model
Digital Document
Publisher
Florida Atlantic University
Description
Presented is a computational implementation simulating the propagation of an infectious disease through a host population extended over a 2-dimensional square lattice. The model incorporates the effects of spatial distribution allowing for an analysis of the persistence and dynamics of the disease. Computational issues are discussed along with the results of the simulations. The simulations show that there is a threshold or critical population density. Below the critical density the disease dies out and above it, the disease persists endemically. Population mixing affects the disease's ability to persist and, hence, the critical density. Higher degrees of mixing improve a disease's ability to persist. The model is then studied analytically in the mean-field point approximation limit. Higher mean-field approximations, which better account for the spatial inhomogeneities of the spatially discrete computational model, are also considered.
Model
Digital Document
Publisher
Florida Atlantic University
Description
Florida's population growth has been spatially and temporally uneven. Significant growth occurred in different regions of the state during certain periods of time. This differential growth was a result of specific socioeconomic conditions that varied both temporally and spatially. Florida was granted statehood 1845 and served as the southern extension of the plantation system. Growth was high in the northern regions of Florida during the antebellum years. After reconstruction, railroad infrastructure was developed that connected the distant reaches of the state with each other and the rest of the country. This facilitated the growth of the central regions of the peninsula. The construction of roads and the popularity of the automobile brought settlers and land developers to the southern regions of Florida in the early twentieth century. After a growth slump during the Depression, activities of World War II once again stimulated growth in the state, especially in the southeastern peninsula. The recent phenomenon of elderly migration has shifted growth to the less populated areas of the southwestern peninsula.