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Political and geographical factors causing the rise and spread of Islamic state
Plešivčák, Peter ; Tomeš, Jiří (advisor) ; Boleček, Vít (referee)
This bachelors thesis focuses on establishment of the Islamic State, which led to the outbreak of armed conflict, humanitarian catastrophe and widespread population migrations. As the threat of destabilization of the entire Middle East, attracted the attention of many disciplines, including political geography. The aim of the work is the literature review and assess the geopolitical map sources, religious and social causes of the Islamic state and attempt to justify its geographic spreading based on these factors. The work is focused mainly on assessing the impact of religious, ethnic and socio-economic structure of Iraq and Syria and the importance of regional differentiation of these factors for the emergence and spread of Islamic State.
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Political and geographical factors causing the rise and spread of Islamic state
Plešivčák, Peter ; Tomeš, Jiří (advisor) ; Boleček, Vít (referee)
This bachelors thesis focuses on establishment of the Islamic State, which led to the outbreak of armed conflict, humanitarian catastrophe and widespread population migrations. As the threat of destabilization of the entire Middle East, attracted the attention of many disciplines, including political geography. The aim of the work is the literature review and assess the geopolitical map sources, religious and social causes of the Islamic state and attempt to justify its geographic spreading based on these factors. The work is focused mainly on assessing the impact of religious, ethnic and socio-economic structure of Iraq and Syria and the importance of regional differentiation of these factors for the emergence and spread of Islamic State.
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Epidemiology of multiple sclerosis
FOŠUM, Pavel
There are approximately 2.5 million cases of multiple sclerosis [MS] in the world. Each year, around 10,000 new cases of MS are diagnosed. There are approximately 0.1%. in the Czech Republic and that means that there are approximately 15,000 people with this disease. Multiple sclerosis is a progressive neurological inflammatory disease of the central nervous system in pathogenesis. The auto-immune mechanisms are appliedinvolves; both the affect the myelin and damaged axons. This damage is responsible for the permanent disability of MS. The main objective of this thesis was to use quantitative research to describe the occurrence of MS in the Regions of South Bohemia and Usti, and within objective to estimate the true prevalence of multiple sclerosis in the South and the Usti Regions. MUDr. Príkaszký and I used the method of descriptive epidemiological studies on the technique of data collection, as well as the analysis and the comparison of two sources using the double-capture method. As a research area, we used a set of patients with multiple sclerosis. The data were gathered in two regions of the Czech Republic: Usti nad Labem Region and South Bohemia. We investigated the number of patients from neurologists and MS centers in both regions.There is also the data on health insurance included with the Ústí Region in this research. According to the data, we estimated the prevalence of neurologists in South Bohemia to be 79.20 per 100,000 people. The MS Center at the hospital in Ceske Budejovice has registered 512 patients: 388 women and 124 men. The values of the MS Centre in Ceske Budejovice received from the neurologists are a total of 882 patients, which is a prevalence of 138.6 patients per 100,000 of the population. Regarding the Usti Region, the prevalence reported by neurologists is 208.2 per 100 000 people. The MS Center at the hospital in Teplice, has registered 1139 sick 730 women and 409 men. According to health insurance data in their database, of 1187 people listed with a diagnosis of G.35, 333 are men and 854 are women. This represents an estimate of the prevalence 305/100000 of the people who are registered in the NGA. We calculated the prevalence of illnesses from those sources in both of these regions is higher than the general estimates. When comparing the data source of health insurance and the model file from the MS center of Ústí Region, we calculated the overall sensitivity of 91.7% within a health insurance group. The calculation of the estimated prevalence has been reached by using the method of double-capture of those sources that provided an estimate of 2,681 patients in the Usti Region. The models of this data are mainly demonstrated as a possible approach to the estimate of the prevalence of this chronic disease in the case of multiple sclerosis. The information has been obtained from the collection of data. The results of this study can be used by other workers who have the same objective as this study.
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