Using Fractal Fragmentation and Compaction Index in Analysis of the Deforestation Process in Bucegi Mountains Group, Romania

Diaconu, Daniel Constantin; Andronache, Ion; Pintilii, Radu-Daniel; Brețcan, Petre; Simion, Adrian Gabriel; Drăghici, Cristian-Constantin; Gruia, Andreea Karina; Grecu, Alexandra; Marin, Marian; Peptenatu, Daniel

doi:10.26471/cjees/2019/014/092

Cited by 18 publications

(10 citation statements)

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“…Moreover, the methodology used in this research could contribute to the development of methodologies for analyzing processes that are strongly influenced by spatial factors, such as fractal analysis, the relevance of which is highlighted in numerous studies (Andronache et al., 2017 , 2019 ; Diaconu et al., 2019 ; Petrișor et al., 2016 ; Simion et al., 2021 ), and the development of interdisciplinary approaches to understanding highly complex processes (Branisteanu et al., 2022 ; Busnatu et al., 2022 ; Halip et al., 2022 ; Ion et al., 2022 ; Ionescu et al., 2021 ; Păduraru et al., 2018 ).…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Spatio‐Temporal Pattern of Tuberculosis Distribution in Romania and Particulate Matter Pollution Associated With Risk of Infection

Peptenatu,

Băloi,

Andronic

et al. 2024

GeoHealth

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The study proposes a dynamic spatio‐temporal profile of the distribution of tuberculosis incidence and air pollution in Romania, where this infectious disease induces more than 8,000 new cases annually. The descriptive analysis for the years 2012–2021 assumes an identification of the structuring patterns of mycobacterium tuberculosis risk in the Romanian population, according to gender and age, exploiting spatial modeling techniques of time series data. Through spatial autocorrelation, the degree of similarity between the analyzed territorial systems was highlighted and the relationships that are built between the analysis units in spatial proximity were investigated. By modeling the geographical distribution of tuberculosis, the spatial correlation with particulate matter (PM2.5) pollution was revealed. The identification of clusters of infected persons is an indispensable step in the construction of efficient tuberculosis management systems. The results highlight the link between the distribution of tuberculosis, air pollution and socio‐economic development, which requires a detailed analysis of the epidemiological data obtained in the national tuberculosis surveillance and control program from the perspective of geographical distribution.

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Section: Conclusion and Discussionmentioning

confidence: 99%

Spatio‐Temporal Pattern of Tuberculosis Distribution in Romania and Particulate Matter Pollution Associated With Risk of Infection

Peptenatu,

Băloi,

Andronic

et al. 2024

GeoHealth

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“…The primary contribution of this study lies in emphasizing the importance of researching the spatial dimension of oncological prevalence and fatality for evidence‐based health policy development and health economic analysis, particularly regarding early diagnosis and treatment. Moreover, the methodology employed in this research could contribute to the development of processes influenced by spatial factors (Andronache et al., 2017, 2019; Ciobotaru et al., 2019; Diaconu et al., 2019; Petrişor et al., 2016; Simion et al., 2021), as well as diagnostic methodologies that incorporate interdisciplinary approaches (Branisteanu et al., 2022; Busnatu et al., 2022; Halip et al., 2022; Ion et al., 2021; Ionescu et al., 2021; Paduraru et al., 2018).…”

Section: Discussionmentioning

confidence: 99%

The Spatial‐Temporal Dimension of Oncological Prevalence and Mortality in Romania

Peptenatu,

Nedelcu,

Pop

et al. 2023

GeoHealth

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The objective of this study was to identify spatial disparities in the distribution of cancer hotspots within Romania. Additionally, the research aimed to track prevailing trends in cancer prevalence and mortality according to a cancer type. The study covered the timeframe between 2008 and 2017, examining all 3,181 territorial administrative units. The analysis of spatial distribution relied on two key parameters. The first parameter, persistence, measured the duration for which cancer prevalence exceeded the 75th percentile threshold. Cancer prevalence refers to the total number of individuals in a population who have been diagnosed with cancer at a specific time point, including both newly diagnosed cases (occurrence) and existing cases. The second parameter, the time continuity of persistence, calculated the consecutive months during which cancer prevalence consistently surpassed the 75th percentile threshold. Notably, persistence of elevated values was also evident in lowland regions, devoid of any discernible direct connection to environmental conditions. In conclusion, this work bears substantial relevance to regional health policies, by aiding in the formulation of prevention strategies, while also fostering a deeper comprehension of the socioeconomic and environmental factors contributing to cancer.

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“…The dynamics in the regional profile require detailed research regarding the impact on the other components of the territorial systems that have these economic sectors. Research on quantifying the multiplication effects of drug trade on the local economy can be analyzed with a series of algorithms, which have resulted in correlative analyzes of the relationships between the components of a territorial system [14], [15], [16], [17], [18], [19], [20].…”

Section: Discussionmentioning

confidence: 99%

The Spatial Dimension of the Drug Trade in Romania

Popescu¹,

Grecu²,

Gruia³

et al. 2020

Proceedings

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The world pharmaceutical market is constantly growing. This market is the major element of foreign investments in health. It is considered that the pharmaceutical industry is known as the most profitable industry with research and development activities. Pharmaceutical products are the most important health related products, which are traded, accounting for 55% of the total health trade. The study follows the spatial design of the dynamics of drug trade, an economic activity with a particular dynamic influenced by a complex of factors. The research was carried out starting from a database that includes the number of employees, turnover, profit and number of companies in this field, for the period 2000-2018. In order to obtain the spatial dynamics of the drug trade, a series of cartographic models were developed regarding the four indicators, using the open-source QGis platform. The obtained results showed the complex of determinants of regional disparities in the trade in medicines, the most important being the level of economic development at the level of territorial administrative unit, as well as the regional demographic particularities.

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Using Fractal Fragmentation and Compaction Index in Analysis of the Deforestation Process in Bucegi Mountains Group, Romania

Cited by 18 publications

References 0 publications

Spatio‐Temporal Pattern of Tuberculosis Distribution in Romania and Particulate Matter Pollution Associated With Risk of Infection

Spatio‐Temporal Pattern of Tuberculosis Distribution in Romania and Particulate Matter Pollution Associated With Risk of Infection

The Spatial‐Temporal Dimension of Oncological Prevalence and Mortality in Romania

The Spatial Dimension of the Drug Trade in Romania

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