Bayesian Probabilistic Reasoning Applied to Mathematical Epidemiology for Predictive Spatiotemporal Analysis of Infectious Diseases Page: 39
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4.8.1. Related Work
Microfilariae had been studied in the Amazonian focus of onchocerciasis (river blindness)
to identify the communities that need priority ivermectin treatment[22]. A Bayesian hierar-
chical model for human onchocerciasis was developed to investigate the role of individual and
community characteristics in the infection. The model aids in research and control planning
for the public health department as well as in its policy decision making. Bayesian analy-
sis for health technology assessment has been investigated[63], and highlights the practical
advantages of the Bayesian approach in handling complex interrelated problems. Bayesian
classifiers are used in the Real-time Outbreak and Disease Surveillance (RODS) system[68],
a computer based public health surveillance system that detects disease outbreaks. RODS
had been used in the 2002 Winter Olympics. Pennsylvania and Utah currently use RODS for
public health surveillance.
In social science hypothesis testing, the increase in independent variables for regression
models leads to misleading errors, while Bayesian approximation reduces the uncertainty in
error[57]. Bayesian concepts are used to calculate the risks of leukemia following chemother-
apy for hodgkinks disease, based on case-control studies[9]. Bayesian monitoring of critical
factors in cancer related clinical trials, such as toxicity and quality of life measures, led to
higher accuracy[32].
An epidemiological model using Bayesian analysis has been developed for the disease,
plasmodium falciparum malaria, in Ndiop, Senegal[21]. The incidence of cancer in multiple
cities has been collected from the survey data for the state of Sao Paulo, Brazil[10]. A
correlation analysis using Bayesian methods between the multiple cancer sites estimated the
cancer rate in a given area. The results had a better precision compared to the prevalent
methods. Bayesian learning is used to infer the dependency of the demographics on the
incidence of diseases in different geographic regions [4].39
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Abbas, Kaja Moinudeen. Bayesian Probabilistic Reasoning Applied to Mathematical Epidemiology for Predictive Spatiotemporal Analysis of Infectious Diseases, dissertation, May 2006; Denton, Texas. (https://digital.library.unt.edu/ark:/67531/metadc5302/m1/52/: accessed April 25, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; .