Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 15 of 15 for “"Disease mapping"”.
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Computational, statistical and graph-theoretical methods for disease mapping and cluster detection
Epidemiology, the study of disease risk factors in populations, emerged between the 16th and 19th centuries in response to terrifying epidemics of infectious diseases such as yellow fever, cholera and bubonic plague. Traditional epidemiological studies have led to modifications in hygiene, diet, …
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Mathematical models for vector-borne infectious disease mapping with application to Dengue disease in Malaysia
… of relative risk for vector borne infectious diseases.Most of these articles involve exploratory analysis that includes the study of covariates andtheir effects on disease distribution and the study of geographic information systems tointegrate patient-related information. The aim of this …
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Spatio-temporal modelling of breast cancer incidence between 2000 and 2021 at sub-national levels in Iran: Bayesian disease mapping
… levels in Iran. Breast cancer is one of the few diseases with a positive education gradient, with higher relative risk of breast cancer incidence among higher- compared to lower-educated women, probably due to better awareness of diagnostic approaches and access to those. While social …
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Utilizing spring dead spot mapping to assess precision management strategies, topographical epidemiology, economic opportunities
Spring dead spot (SDS), a monocyclic, soil-borne disease caused by Ophiosphaerella spp., affects the rhizomes and stolons of bermudagrass (Cynodon dactylon L. Pers), and is particularly severe in regions with extended dormancy, such as the transition zone. This research evaluates three aspects of …
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New Score Tests for Genetic Linkage Analysis in a Likelihood Framework
… has been the successful primary tool for mapping many Mendelian traits and some complex traits until the genetic analysis paradigm shifted from rare Mendelian disease mapping using family data to the common variant-common disease mapping mainly using unrelated case-control data, i.e., …
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Spatial Poisson regression : Bayesian approach correcting for measurement error with applications.
… We also provide two examples of the models use: disease mapping of habitat burglary from the city of Waco Texas and an analysis of sports data similar to that of Albert's (1992) analysis of homerun data. Research questions of interest are answered using the subset selection procedure proposed by …
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Local Likelihood for Interval-censored and Aggregated Point Process Data
… of bivariate interval-censored data as well as disease mapping for a rare disease, lupus, in the Greater Toronto Area.
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Geostatistical design and analysis for estimating local variations in malaria disease burden
… and analysis methods are increasingly used in disease mapping, particularly in resource-limited settings where uniformly precise mapping may be unrealistically costly and the priority is often to identify critical areas where interventions can have the most health impact. In this thesis, which …
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Multiple testing in spatial epidemiology: a Bayesian approach
… by aggregated analyses. Starting from collecting disease counts and calculating expected disease counts by means of reference population disease rates, in each area an SMR is derived as the MLE under the Poisson assumption on each observation. Such estimators have high standard errors in small …
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Associated factor of mortality rate amongst patients with AIDS and HIV-TB co-infections using zero inflated negative binomial method
… factors affecting mortality rate among disease mapping co�infection patients among HIV-TB and AIDS. In this thesis, mortality rate is a subject of interest as dependent variable according to age categories by years. The data are analyzed from AIDS patients and HIV-TB mortality cases for …
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An Economic Analysis of Evolving Health Hazards
… resources for surveillance and monitoring of the disease. Chapter 3 is devoted to disease mapping and presentation of the variography of the various human WNV risk measures. It employs Geographic Information Systems (GIS) mapping tools to create thematic risk or hazard maps that visually depict …
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Approaches to the spatial modelling of cancer incidence and mortality in metropolitan Perth, Western Australia, 1990 -2005
… is one of potentially preventable and treatable diseases. Cancer analysis from different perspectives is necessary to provide the information for health research and the initiation of prevention and treatment programs. The purpose of this study was to analyse five top cancers in the Perth …
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Data Mining Algorithms for Classification of Complex Biomedical Data
… is widely used in identifying cluster of disease cases (e.g., identifying environmental risk factors for child leukemia). However, the original spatial scan algorithm only works on static spatial data. In this dissertation, I will propose one possible solution for spatial scan on movement …
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Modelling HIV/AIDS epidemic in Nigeria
… reviewed in detail. Also, an indepth review of disease mapping techniques including multilevel models and geostatistical methods was conducted. The existence of spatial clusters was investigated using cluster analysis and some measure of spatial autocorrelation (Moran I and Geary c coefficients, …
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Developing A Geospatial Protocol For Coral Epizootiology
… used to map, detect, and spatially analyze disease epidemics, could be used to advance our understanding of coral reef health. Given that different types of spatial analysis, as well as different parameter settings within each analysis, can produce noticeably different results, poor …