| Autor: |
Peptenatu, D., Băloi, A. M., Andronic, O., Bolocan, A., Cioran, N., Gruia, A. K., Grecu, A., Panciu, T. C., Georgescu, L., Munteanu, I., Pistol, A., Furtunescu, F., Strâmbu, I. R., Ibrahim, E., Băiceanu, D., Popescu, G. G., Păduraru, D., Jinga, V., Mahler, B. |
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| Zdroj: |
Geohealth; Feb2024, Vol. 8 Issue 2, p1-18, 18p |
| Abstrakt: |
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. Plain Language Summary: The study aims to identify the main geographical areas of tuberculosis concentration in Romania, which are among the highest in Europe. At the EU level, public health policies aim to strengthen integrated care services and further implement patient‐centered approaches. Annual data at the level of territorial administrative unit, by age and gender from the national demographic statistics, published on the official website of the National Institute of Statistics, were used to relate the number of cases to the population. The maps were produced using geospatial data published by the National Agency for Cadastre and Real Estate Publicity and the official nomenclature of administrative territorial units of Romania, called SIRUTA. Statistical data on the distribution of tuberculosis cases in Romania were obtained from the annual reports of the National Tuberculosis Prevention, Surveillance and Control Program in Romania. The research aimed to compare the geographical distribution of tuberculosis over the distribution of areas with the highest values of particulate matter (PM2.5). Accurate identification of tuberculosis concentration areas and correlation with PM2.5 provides relevant data to optimize disease management policies. Key Points: The study creates a dynamic spatio‐temporal profile of the tuberculosis frequency distribution (incidence) in RomaniaThe study analyses the impact of the COVID‐19 pandemic period on the evolution of the disease in RomaniaThe exploratory spatial autocorrelation method is used to identify spatial hotspots of tuberculosis concentration in Romania [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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