THESIS STATEMENT FOR WEST NILE VIRUS

The model-based inference identified counties in the southern region of Arizona as having an elevated propensity for disease compared to counties in the northern region.

College of Public Health and Human Sciences. Press to Select an action Download. This dissertation endeavored to develop forecasting models to predict future cases of disease and identify counties with increased propensity for WNV.

The impact of home foreclosures, climate variability, and population growth on the resurgence of human WNV disease cases in Maricopa County during the epidemic was investigated. As spatiotemporal disease data become readily available, forecasting models can be an important and viable risk assessment tool for public health practitioners.

West Nile Virus Essays

You may create a new foe. Approved thesis statement for west nile virus entry into archive by Julie Kurtz julie. Made available in DSpace on T Committee Member Harding, Anna K. Submitted by Josiah Roldan roldanj onid. Forecasting models allow the mobilization and distribution of limited resources to areas with elevated propensity for disease, and the timely deployment of intervention programs to reduce the overall risk of disease.

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Approved for entry into archive by Laura Wilson laura. Doctor of Philosophy Ph. While all the states in the U.

The model was also able to fo future cases of disease by fitting historical data. These factors were found to have contributed to the resurgence of the disease by creating the optimal environmental conditions that allowed the amplification of mosquito populations, thus increasing the risk of disease transmission to humans.

A spatiotemporal stochastic regression model was developed fro Bayesian principles and was successful in calculating the annual mean cases of disease from to for all counties. Home Graduate Thesis Or Dissertation.

West Nile Virus WNVa vector-borne disease continues to be a serious threat to public health in thesis statement for west nile virus United States, particularly in the Southwest region.

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Rejected by Patricia Black patricia. Approved for entry into archive by Patricia Black patricia. Furthermore, this study aimed to identify environmental and economic factors that contributed to the increase in WNV cases in Maricopa County, Arizona.

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By fitting the SARIMA model to monthly historical disease data from tothe temporal model presented a decreasing trend of state,ent incidence of disease for This work has no parents. You do not have access to any existing collections.