GIS TECHNOLOGIES IN THE STUDY OF NATURAL RESULTS ESPECIALLY DANGEROUS DISEASES IN KAZAKHSTAN.

This study explores the application of GIS technologies in analyzing and visualizing spatial structures of especially dangerous infections (EPI) in Kazakhstan. International collaborations have facilitated projects studying the focal patterns of diseases, improving data analysis and visualization. Extensive electronic databases resulting from field research on EPI foci have elevated the study's depth. The dynamics of natural foci, influenced by intraspecific structures of infection carriers, are impacted by industrial and agricultural developments, urban expansions, and climate change. The study notes changes in the enzootic territory, affecting mammal migration and consequently altering natural focus boundaries. Industrial activities, rotational methods, and habitat changes contribute to the increased epidemic potential in enzootic areas. Despite anthropogenic and climatic influences, the prevalence of plague remains high in Kazakhstan, with a trend towards expanding enzootic territories. Unified electronic databases on plague, tularemia, anthrax, and other zoonoses, developed for GIS analysis, enable mapping and visualization of natural foci. Electronic maps aid in determining enzootic territory boundaries, assessing infectious disease activity, and planning preventive measures based on risk assessment. ESRI's ArcGIS Desktop 10.8 with Arc Toolbox modules facilitated data processing in the geoinformation environment. Data includes epidemiological examination results, species composition of carriers, and laboratory test outcomes, enhancing comprehensive analysis and decision-making for anti-epidemic measures. The study in Kazakhstan identifies and details six natural and twenty autonomous plague foci, categorizing them by main carriers and observing an expansion of natural hotspots. The enzootic territory is classified into four geographic zones, further divided into 105 landscape-epidemiological regions. Laboratory studies inform electronic maps for analyzing plague's dynamic situation. Anthrax prevalence, primarily in chernozem and chestnut soils, is assessed, revealing 1,778 unaffected settlements and spatially clustered points. An epidemiological index aids in zoning for anthrax trouble. Tularemia's landscape occurrence is classified into four types, with spatial analysis revealing clusters and potential epidemic danger in specific regions. Geographic information technologies highlight high-risk areas, justifying preventive measures for dangerous infections. The results obtained serve as a scientific justification for the priority of preventive measures within the boundaries of administrative territories characterized by a high degree of potential epidemic danger and objectively indicate the prospects for the introduction of GIS technologies into the practice of epidemiological surveillance of particularly dangerous infections.

The cell cycle regulatory gene polymorphisms TP53 (rs1042522) and MDM2 (rs2279744) in lung cancer: a meta-analysis.

Lung cancer is one of the most common types of cancer in the world. Although the mechanism of lung cancer is still unknown, a large number of studies have found a link between gene polymorphisms and the risk of lung cancer. The tumor suppressor p53 plays a crucial role in maintaining genomic stability and tumor prevention. MDM2 is a critical regulator of the p53 protein. Despite the importance of p53 pathway in cancer, data on the contribution of SNPs of TP53 (rs1042522) and MDM2 (rs2279744) to the development of lung cancer are very contradictory. A metaanalysis that collects quantitative data from individual studies and combines their results has the advantage of improving accuracy, providing reliable estimates, and resolving those issues in which studies on individual associations are not effective enough. The aim of this study was to determine whether the TP53 (rs1042522) and MDM2 (rs2279744) polymorphisms confer susceptibility to lung cancer. A meta-analysis was conducted on the associations between the TP53 (rs1042522) and MDM2 (rs2279744) polymorphisms and lung cancer. A total of 51 comparison studies including 25,366 patients and 25,239 controls were considered in this meta-analysis. The meta-analysis showed no association between lung cancer and MDM2 (rs2279744) under any model. A noteworthy association of TP53 (rs1042522) with susceptibility to lung cancer in overall pooled subjects was observed under three different models (allele contrast, homozygote contrast (additive) and dominant). Stratification by ethnicity indicated an association between the TP53 (rs1042522) and lung cancer in Asians and Caucasians. This meta-analysis demonstrates that the TP53 (rs1042522), but not MDM2 (rs2279744) polymorphism may confer susceptibility to lung cancer.