Rabies has been reported in Tanzania, mainly in the southern highland regions, since 1954. To date, rabies is endemic in all districts in Tanzania and efforts are being made to contain the disease. It was determined that mass vaccination of at least 70% of an animal population is most effective, in terms of profitability and cost, in reducing transmission of rabies. The current approach for vaccination in Tanzanian villages takes some features from the EPI method but is rather basic and unreliable. This mini-dissertation proposes using a sampling technique which incorporates the spatial component of the village data and minimises the walking distance between the sampled houses while ensuring the 70% coverage of the animal population. / Mini Dissertation(MSc)--University of Pretoria, 2017. / STATOMET The Centre for Artificial Intelligence Research (CAIR) National Research Foundation of South Africa (NRF CSUR grant number 90315) / Statistics / MSc / Unrestricted

This paper tests the regional convergence of GDP per capita across 27 Chinese provinces during the period 1961-2018 with considering the spatial interactions. First, this study only finds a slight divergence over the entire period. Furthermore, the flowing research of this paper divides the overall time span into three sub-period based on two major economic policies, namely the “Open Door Policy” and the “Western Development Strategy”. During the period 1961-1977, which is regarded as a phase of planned economy, this paper finds the evidence of regional convergence. Moreover, the results indicate a slight divergence in GDP per capita during the period 1978-1999, proving that the “Open Door Policy” intensifies regional gaps of China. Finally, this study verifies the role of the “Western Development Strategy” in reducing regional differences since a convergence is found during the last period 2000-2018. The outcomes of this research reveal a strong relationship between economic policies and regional convergence, and thus the transition of policies should be considered when investigating the economic convergence. Furthermore, this research also verifies the importance of spatial effects in the process of convergence or divergence. The results are likely to be biased if the spatial dependence is neglected.

Thesis (Ph.D. (Statistics)) -- University of Limpopo, 2021 / In spatial statistics, several methods have been developed to measure the extent of local and global spatial dependence (clustering) in measured data across areas in a region of research interest. These methods are now routinely implemented in most Geographical Information Systems (GIS) and statistical computer packages. However, spatial statistics for measuring joint spatial dependence of multiple spatial measurement and outcome data have not been well developed. A naive analysis would simply apply univariate spatial dependence methods to each data separately. Though this is simple and straightforward, it ignores possible relationships between multiple spatial data because they may be measuring the same phenomena. Limited work has been done on extending the Moran’s index, a commonly used and applied univariate measure of spatial clustering, to bivariate Moran’s index in order to assess spatial dependence for two spatial data. The overall aim of this PhD was to develop multivariate spatial clustering methods for multiple spatial data, especially in the health sciences. Our proposed multivariate spatial clustering statistic is based on the fundamental theory regarding canonical correlations. We firstly reviewed and applied univariate and bivariate Moran’s indexes to spatial analyses of multiple non-communicable diseases and related risk factors in South Africa. Then we derived our proposed multivariate spatial clustering method, which was evaluated by simulation studies and applied to a spatial analysis of multiple non-communicable diseases and related risk factors in South Africa. Simulation studies showed that our proposed multivariate spatial statistic was able to identify correctly clusters of areas with high risks as well as clusters with low risk.

One critical objective of high-quality education is to provide citizens literate in science, technology, engineering, and math (STEM) to ensure economic success (as reported by Newcombe (Harnessing spatial thinking to support STEM learning (OECD Education Working Papers, No. 161), OECD Publishing, Paris, 2017). Many studies have found a correlation between STEM skills and spatial ability. A meta-analysis of studies (as reported by Hawes et al. (in Davis (ed), Spatial reasoning in the early years: Principles, assertions, and speculations, Routledge, New York, 2015) reported that interventions to teach spatial skills resulted in significant improvement, approximately doubling the number of people with spatial skills associated with being an engineer. Most educational programs lack a focus on spatial skills, especially in early years when children are developing their spatial sense of the world and building a foundation for later, more complex, spatial skills. Little research exists showing what young children do when allowed to explore materials with little or no adult direction. This qualitative study was designed to address that gap and provide evidence of spatial skills in young children, specifically toddlers (12–36 months old). A variety of common household materials were set out during free play time, and educators provided minimal guidance while children played. Trained videographers recorded for 10 h (twice a week for 1 h over a 5-week period). Video was open coded for spatial actions children displayed with the materials. The initial codes were then reviewed for common themes and compared to those found in previous studies. Results show that toddlers demonstrated a wide range of spatial skills without educator direction and stayed engaged for long periods of time. Based on these results, implications are presented for educators to support spatial development.

Community health centers (CHCs) provide comprehensive primary care regardless of a patient’s ability to pay. Key policies in the last decade facilitated development of new CHC delivery sites, but the extent of change in geographic access to CHCs (CHC accessibility) is understudied. Furthermore, existing research on CHC accessibility relies on antiquated methods for measuring CHC accessibility despite the growing use of contemporary accessibility methods to study access to other types of health services. We conducted three studies that examined CHC accessibility using contemporary accessibility methods and publicly available data from the Health Resources and Services Administration, American Community Survey, Area Health Resources File, and the 500 Cities Project. The first study assessed CHC accessibility at the census tract level in 2008 and 2016, before and after implementation of policies that expanded CHCs, using the two-step floating catchment area method. It then investigated the association between indicators of CHC need and changes in CHC accessibility. The second study examined the association between CHC accessibility and primary care utilization. The third study investigated differential change in CHC accessibility for census tracts in a subset of Medicaid expansion states compared to census tracts in a subset of non-expansion states. We found that CHC accessibility substantially increased between 2008 and 2016, that spatial distribution of increases in CHC accessibility was not uniform, and that the two-step floating catchment area method could be successfully applied to reveal small area variation in CHC accessibility changes across states. We also found that CHC accessibility was positively related to primary care utilization, but moderated by extent of primary care provider supply and median household income in the surrounding area. Finally, we found that census tracts in Medicaid expansion and non-expansion states saw similar increases in CHC accessibility from 2008 to 2016. In the current health policy context, where gains in health coverage from the Affordable Care Act are in jeopardy of being scaled back, CHC accessibility is critically important. The findings of this work support the important role of CHC accessibility in primary care utilization and describe how CHC accessibility has changed in the last decade. / 2020-10-23T00:00:00Z

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Is school accessibility a valued good, and do school closures affect house prices? This thesis applies two different methods of hedonic regression analysis, augmented by spatial regression methods, to a dataset of Hamilton real estate transactions (2005-2017) to investigate whether the closure of a school in an urban neighbourhood negatively affects house prices in that closed school catchment. Evidence is found that school accessibility is a valued good, and that the closure of a primary school will negatively affect house prices from the period of closure announcement through several subsequent quarters. The use of spatial analysis corrects for bias in coefficient estimates. / Thesis / Master of Arts (MA) / Do homebuyers pay a premium to be located closer to a school, and do school closures affect house prices? An analysis of Hamilton real estate transactions (2005-2017) finds evidence that houses closer to schools sell for more, and that a primary school closure has a negative impact on local house sale prices.

The intent of this thesis is to explore whether an existing spatial schema assists with learning a similar environment to the existing schema. Spatially experienced and non-experienced participants of Magic Kingdom Park learned a similar park, Disneyland Park, using a virtual environment. Participants learned the virtual environment either passively or actively. Spatially experienced participants outperformed the non-experienced participants on survey and route knowledge assessments, despite of the training method used in the virtual environment. The results suggest that the existing schema for a similar place transfers to the new environment regardless of passive or active training.