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Журнал микробиологии, эпидемиологии и иммунобиологии. 2018; : 61-65

ОЦЕНКА ЭФФЕКТИВНОСТИ НОВОГО ПОДХОДА К АНАЛИЗУ АКТИВНОСТИ ЭПИДЕМИЧЕСКОГО ПРОЦЕССА И РЕЗУЛЬТАТИВНОСТИ ПРОФИЛАКТИКИ ПАРАЗИТАРНЫХ ЗАБОЛЕВАНИЙ

Степанова Т. Ф.

https://doi.org/10.36233/0372-9311-2018-6-61-65

Аннотация

Цель. Оценка эффективности разработанного нового подхода к анализу активности эпидемического процесса и результативности профилактики паразитарных заболеваний, опирающегося на систему многоуровневого мониторинга. Материалы и методы. Проанализированы данные официального статистического наблюдения за 2010-2016 гг. по всем субъектам Российской Федерации. Для поиска закономерностей в больших объемах данных применена технология Data Mining. Результаты. Проведенный анализ позволил охарактеризовать активность эпидемического процесса паразитарных заболеваний на территории России. Применение методов математического моделирования позволило сформировать прогноз заболеваемости/пораженности по результатам санитарно-паразитологических исследований. Выявлены регионы, в которых недостаточное качество санитарно-паразитологических исследований привело к расхождениям фактической и предсказанной пораженности. Заключение. Проведенное исследование позволило установить, что разработанный подход эффективен для оценки активности эпидемического процесса и результативности профилактики паразитарных заболеваний, структурирования статистической информации по регионам и нозологиям, выявления тенденций заболеваемости, разработки региональных программ профилактики.
Список литературы

1. Еременко Е.И., Рязанова А.Г., Цыганкова Е.А., Цыганкова О.И., Куличенко А.Н. Генотипические особенности штаммов Bacillus anthracis c разным проявлением признаков, ассоциированных с патогенностью. Проблемы особо опасных инфекций. 2010, 104:53-56.

2. Castanha E.R., Fox A., Fox K.F. Rapid discrimination of Bacillus anthracis from other members of the B. cereus group by mass and sequence of “intact” small acid soluble proteins (SASPs) using mass spectrometry. J. Microbiol. Methods. 2006, 67(2):230-240.

3. Dybwad M., van der Laaken A.L., Blatny J.M. et al. Rapid Identi cation of Bacillus anthracis Spores in Suspicious Powder Samples by Using Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry (MALDI-TOF MS). Applied and Environmental Microbiology. 2013, 79(17): 5372-5383.

4. Elhanany E., Barak R., Fisher M. et al. Detection of specific Bacillus anthracis spore biomarkers by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. Rapid Commun. Mass. Spectrom. 2001, 15(22):2210-2216.

5. Gibb S., Strimmer K. Mass spectrometry analysis using MALDIquant. Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry. Springer. Cham. 2017:101-124.

6. Jeong Y.S., Lee J., Kim S.J. Discrimination of Bacillus anthracis Spores by Direct in-situ Analysis of Matrix-Assisted Laser Desorption/Ionization Time-Of-Flight Mass Spectrometry. Bull. Korean Chem. Soc. 2013, 34(9):2635-2639.

7. Jernigan D.B., Raghunathan P.L., Bell B.P. et al. Investigation of Bioterrorism-Related Anthrax, United States, 2001: Epidemiologic Finding, Emerging Infectious Diseases. 2002, 8(10):1019-1028.

8. Lasch P., Beyer W., Nattermann H. et al. Identification of Bacillus anthracis by Using Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry and Artificial Neural Networks. Applied and Environmental Microbiology. 2009: 7229-7242.

9. Meselson M., Guillemin J., Hugh-Jones M. et al. The Sverdlovsk anthrax outbreak of 1979. Science. 1994, 266(5188):1202-1208.

10. Pauker V.I., Thoma B.R., Grass G. et al.Improved discrimination of Bacillus anthracis from Closely Related Species in the Bacillus cereus sensulato Group based on MALDI-TOF Mass Spectrometry. J. Clin. Microbiol. 2018, doi: 10.1128/JCM.01900-17.

11. Theel E. Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry for the Identification of Bacterial and Yeast Isolates. Communique Mayo Medical Laboratories. January 2013.

Journal of microbiology, epidemiology and immunobiology. 2018; : 61-65

EVALUATION OF THE EFFICIENCY OF A NEW APPROACH TO THE ANALYSIS OF THE ACTIVITY OF THE EPIDEMIC PROCESS AND THE PERFORMANCE OF PREVENTION OF PARASITARY DISEASES

Stepanova T. F.

https://doi.org/10.36233/0372-9311-2018-6-61-65

Abstract

Aim. Evaluate the effectiveness of the developed new approach to the analysis of the activity of the epidemic process and the effectiveness of the prevention of parasitic diseases, based on a multi-level monitoring system. Materials and methods. The data of official statistical observation for 2010-2016 are analyzed for all subjects of the Russian Federation. To search for the regularities in large volumes of data, Data Mining is used. Results. The analysis made it possible to characterize the activity of the epidemic process of parasitic diseases in the territory of Russia. Application of methods of mathematical modeling allowed to form a prognosis of morbidity/affection by the results of sanitary-parasitological studies. The regions in which the inadequate quality of sanitary-parasitological studies led to discrepancies between actual and predicted lesions were identified. Conclusion. The conducted study made it possible to establish that the developed approach is effective for assessing the activity of the epidemic process and the effectiveness of preventing parasitic diseases, structuring statistical information by regions and nosologies, identifying trends in morbidity, and developing regional prevention programs.
References

1. Eremenko E.I., Ryazanova A.G., Tsygankova E.A., Tsygankova O.I., Kulichenko A.N. Genotipicheskie osobennosti shtammov Bacillus anthracis c raznym proyavleniem priznakov, assotsiirovannykh s patogennost'yu. Problemy osobo opasnykh infektsii. 2010, 104:53-56.

2. Castanha E.R., Fox A., Fox K.F. Rapid discrimination of Bacillus anthracis from other members of the B. cereus group by mass and sequence of “intact” small acid soluble proteins (SASPs) using mass spectrometry. J. Microbiol. Methods. 2006, 67(2):230-240.

3. Dybwad M., van der Laaken A.L., Blatny J.M. et al. Rapid Identi cation of Bacillus anthracis Spores in Suspicious Powder Samples by Using Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry (MALDI-TOF MS). Applied and Environmental Microbiology. 2013, 79(17): 5372-5383.

4. Elhanany E., Barak R., Fisher M. et al. Detection of specific Bacillus anthracis spore biomarkers by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. Rapid Commun. Mass. Spectrom. 2001, 15(22):2210-2216.

5. Gibb S., Strimmer K. Mass spectrometry analysis using MALDIquant. Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry. Springer. Cham. 2017:101-124.

6. Jeong Y.S., Lee J., Kim S.J. Discrimination of Bacillus anthracis Spores by Direct in-situ Analysis of Matrix-Assisted Laser Desorption/Ionization Time-Of-Flight Mass Spectrometry. Bull. Korean Chem. Soc. 2013, 34(9):2635-2639.

7. Jernigan D.B., Raghunathan P.L., Bell B.P. et al. Investigation of Bioterrorism-Related Anthrax, United States, 2001: Epidemiologic Finding, Emerging Infectious Diseases. 2002, 8(10):1019-1028.

8. Lasch P., Beyer W., Nattermann H. et al. Identification of Bacillus anthracis by Using Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry and Artificial Neural Networks. Applied and Environmental Microbiology. 2009: 7229-7242.

9. Meselson M., Guillemin J., Hugh-Jones M. et al. The Sverdlovsk anthrax outbreak of 1979. Science. 1994, 266(5188):1202-1208.

10. Pauker V.I., Thoma B.R., Grass G. et al.Improved discrimination of Bacillus anthracis from Closely Related Species in the Bacillus cereus sensulato Group based on MALDI-TOF Mass Spectrometry. J. Clin. Microbiol. 2018, doi: 10.1128/JCM.01900-17.

11. Theel E. Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry for the Identification of Bacterial and Yeast Isolates. Communique Mayo Medical Laboratories. January 2013.