3 research outputs found

    Capacity development of local self-governments for disaster risk management

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    The objective of this research was to examine the capacity development of local self-governments in the field of disaster risk management (DRM). This quantitative research examines the degree of implementation of strategic, legislative, and institutional frameworks, as well as the capacity of local authorities to apply related policies through five analytical scopes: (1) degree of preparedness and legal framework; (2) financial framework; (3) policy aspects; (4) cooperation and partnership; (5) communication. The ability of municipalities and towns to respond to disasters was also analyzed and compared. In this paper, our initial hypothesis was that the effective implementation of the concept of DRM policy in towns of Serbia requires the continual strategic, tactical, and operational transformation of the public administration and public management system in order to strengthen the capacity of local self-governments for disaster prevention, preparation, response, and recovery. This multimethod research was conducted over the period of 2014–2017 and included the following two target groups: (a) heads of disaster sectors in local self-government units (mayor) and (b) employees of the DRM sector in local self-government units. The results of this research will enable decision makers to successfully respond to challenges and help to improve the capacity of local self-governments and public local administrations within the scope of DRM in the Republic of Serbia, based on the principles of prevention and proactive action, coordination, cooperation, partnership, and responsibility

    A Predictive Model of Pandemic Disaster Fear Caused by Coronavirus (COVID-19): Implications for Decision-Makers

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    This paper presents quantitative research results regarding a predictive model of pandemic disaster fear caused by the coronavirus disease (COVİD-19). The aim of this paper was to establish the level and impact of certain demographic and socioeconomic characteristics on pandemic disaster fear caused by the coronavirus (COVID-19). The research was conducted using a questionnaire that was provided and then collected online for 1226 respondents during May 2021. A closed, five-point Likert scale was used to create the structured questionnaire. The first section of the questionnaire included research questions about the participants’ socioeconomic and demographic characteristics, while the second section included issue questions about fear caused by COVID-19. The results of multivariate regression analyses showed the most important predictor for fear of COVID-19 to be gender, followed by age and education level. Furthermore, the results of t-tests showed statistically significant differences between men and women in terms of different aspects of pandemic disaster fear caused by the coronavirus disease. Our results have several significant public health implications. Women who were more educated and knowledgeable, married, and older, reported a greater fear of the outbreak at various levels. Decision-makers can use these findings to identify better strategic opportunities for pandemic disaster risk management

    Possible Genetic Heterogeneity of Spinocerebellar Ataxia Linked to Chromosome 15

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    Autosomal dominant spinocerebellar ataxias (SCAs) are a clinically and genetically heterogeneous group of neurodegenerative disorders. We investigated an SCA family from Serbia of Roma ethnic origin; four affected and nine unaffected family members underwent a detailed neurological examination. The presenting symptom in all patients was gait unsteadiness in early adulthood. Additional features included pyramidal signs, depression, and cognitive impairment. The condition follows an autosomal dominant pattern of inheritance. After excluding repeat expansions in nine known SCA genes, a genome-wide linkage analysis with 412 microsatellite markers localized the putative disease gene to a 40.7 cM (42.5 Mb) region on chromosome 15q between markers D15S1006 and D15S116. The maximum model-based multipoint LOD score was 1.75. This region is only 4.3 Mb away from the SCA11 (TTBK2) gene. Accordingly, mutations in TTBK2 were not found, suggesting a second SCA gene on chromosome 15q as cause of this novel form of SCA. In addition, we excluded alterations in two candidate genes in the linked region, namely expansion of a polyglutamine-coding CAG repeat in ARID3B and mutations in SEMA6D. (C) 2010 Movement Disorder Societ
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