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Incidence and risk factors of salmonellosis in Ukraine

Alla Podavalenko Nina Malysh Victoriya Zadorozhna Mycola Chemych Svetlana Biryukova Inna Chorna
Folia Medica Cracoviensia | 2021 | Vol. 61 | No 2 | 91-102 | DOI: 10.24425/fmc.2021.137226
Keywords salmonellosis epidemic situation epidemiological surveillance correlation factors
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Abstract

The article, based on the reports of the Ministry of Health of Ukraine, presents the materials of the epidemiological surveillance of salmonellosis in 2011–2018. To assess the influence of factors on the epidemic process of salmonellosis, the demographic situation, income and living conditions of the popu-lation were studied; average monthly air temperature, relative humidity, precipitation; the quantitative and qualitative composition of the microbiocenosis of patients with signs of acute intestinal infection. It was found that in Ukraine the incidence of salmonellosis is high. Outbreaks of salmonellosis are recorded. S. enteritidis is most often isolated from the clinical material of patients, carriers and human objects (p <0.05). The risk groups for salmonellosis are children (p <0.05), as well as the rural population (p <0.05). The low level of sanitary and epidemiological control at the stages of production, transportation and sale of food products, water supply contributes to the spread of salmonellosis. Natural factors have a regulating effect on the intensity of the epidemic salmonella process: a strong direct relationship is established between the incidence and air temperature and precipitation (p <0.05). Salmonella enters into a competitive or synergistic relationship with other microorganisms in the intestinal biotope. Thus, the intensity of the epidemic process of salmonellosis can be influenced not only by external (natural and social), but also by internal factors.
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Bibliography

1. World Health Organization. Salmonella (non-typhoidal). 20 Feb. 2017. Available from: www.who.int/ news-room/fact-sheets/detail/salmonella-(non-typhoidal).
2. Hayden H.S., Matamouros S., Hager K.R., et al.: Genomic analysis of Salmonella enterica serovar Typhimurium characterizes strain diversity for recent U.S. Salmonellosis cases and identifies mutations linked to loss of fitness under nitrosative and oxidative stress. mBio. 2016; 7 (2): e00154.
3. Kulikovskiy A.: Salmonellosis: monitoring is necessary / Zhivotnovodstvo Rossii. 2016; 1: 63‒64. (Russian)
4. Henao O.L., Jones T.F., Vugia D.J., et al.: Foodborne Diseases Active Surveillance Network (FoodNet): FoodNet 2015 Surveillance Report (Final Data). Emerg Infect Dis. 2015; 21 (9): 1529–1536.
5. Knegt L.V., Pires S.M., Hald T.: Attributing foodborne salmonellosis in humans to animal reservoirs in the European Union using a multi-country stochastic model. Epidemiol Infect. 2015; 143 (6): 1175‒1186.
6. Bergey’s Manual of systematic Bacteriology: 1986. Williams & Wilkins, Baltimore-Hong Kong- London–Sydney. Vol. 1, 2, 3.
7. Zubkov M.N., Menshikov D.D., Gugutsidze E.N., et al.: Microbiological diagnosis of mixed anaerobic- aerobic infections in surgery. Antibiotiki i himioterapiya. 1995; 40 (2): 46‒50. (Russian)
8. World Health Organization. Salmonella (non-typhoidal). 20 Feb. 2017. Available from: www.who.int/en/news-room/fact-sheets/detail/salmonella-(non-typhoidal)
9. Malysh N., Chemych M., Zadorozhna V., Podavalenko A., Birukova S.: Diarrhea infections in North- Eastern Ukraine: evolution of epidemic process. Bangladesh Journal of Medical Science. 2020; 19 (3): 420‒426.
10. Whiley H., Ross K.: Salmonella and Eggs: From Production to Plate. J Environ Res Public Health. 2015; 12 (3): 2543‒2556.
11. He F., Zhu X.P., Zhu B.P., Ma H.L.: Study on an outbreak of food poisoning caused by Salmonella blegdam. Zhonghua Liu Xing Bing Xue Za Zhi. 2011; 32 (7): 697‒699. (Chinese)
12. Malysh N.G., Chemich N.D., Zaritskiy A.M.: Incidence, predisposing risk factors for the development and spread of acute intestinal infections in the north-eastern region of Ukraine. Gigiena i sanitariya. 2016; 95 (3): 287‒292. (Russian)
13. Sergevnin V.I., Ladeyschikova Yu.I., Devyatkov M.Yu., Sarmometov E.V.: Assessment of the epidemiological significance and conditions of microbial contamination of vegetable salads as transmission factors of pathogens of acute intestinal infections in modern conditions. Epidemiologiya i infektsionnyie bolezni. 2011; 1: 31‒35. (Russian)
14. Seregin I.G., Butko M.P., Vasilev D.A.: Veterinary and sanitary control of meat of compelled animals. Veterinariya. 2012; 5: 3‒9. (Russian)
15. Belyaeva Yu.N.: Some epidemiological aspects of digestive diseases at the regional level // Materialyi VII Mezhdunarodnoy (XVI Vserossiyskoy) Pirogovskoy nauchnoy meditsinskoy konferentsii studentov i molodyih uchYonyih, Moskva, 2012. (Russian)
16. Antipov M.O., Mindlina A.Ya.: Digestive diseases of an infectious and non-infectious nature. Epidemiological relationship. Epidemiologiya i vaktsinoprofilaktika. 2019; 18 (1): 55‒65. (Russian)
17. Sergevnin V.I.: Acute intestinal infections. Waterway transmission of pathogens. Vrach. 2013; 7: 74‒76. (Russian)
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Authors and Affiliations

Alla Podavalenko
1
Nina Malysh
2
Victoriya Zadorozhna
3
Mycola Chemych
2
Svetlana Biryukova
1
Inna Chorna
2
  1. Kharkiv Medical Academy of Postgraduate Education, Ukraine
  2. Sumy State University, Ukraine
  3. SI “Institute of Epidemiology and Infectious Diseases named after L.V. Gromashevsky National Academy of Medical Sciences of Ukraine”, Ukraine

Analysis of the epidemic situation of the COVID-19 coronavirus infection in Ukraine

Alla Podavalenko Nina Malysh Viktoriya Zadorozhna Kateryna Zhuk Galina Zaitseva Inna Chorna
Folia Medica Cracoviensia | 2023 | Vol. 63 | No 1 | 109-120 | DOI: 10.24425/fmc.2023.145434
Keywords coronavirus infection COVID-19 epidemiological situation morbidity correlations
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Abstract

The epidemic process of COVID-19 in the world developed rapidly. The situation with mor-bidity, despite the establishment of quarantine, the introduction of restrictive anti-epidemic measures, and vaccination, remains difficult. The results of research on the influence of meteorological factors on the dynamics of the incidence of COVID-19, hospitalization, and mortality are ambiguous and contradictory. The purpose of this study is to analyze the indicators of morbidity, hospitalization, and mortality from COVID-19 in Ukraine, and to establish the level of influence of meteorological factors on them. A high variation in morbidity, hospitalization, and mortality rates was observed in Ukraine, in 2020–2021. A total of 3 waves of disease growth were established. The curve of hospitalization indicators of patients with COVID-19 had a correlation dependence on the incidence curve r = 0.766 (р <0.05), the maximum rates of hospitalization and mortality were registered in September–December 2021. A direct strong correlation was established between the frequency of registration of cases of COVID-19 and mortality — r = 0.899 (р <0.05). Most cases of COVID-19 were registered in the cold season, the least in June–August. Inverse correlations of moderate strength were established between the indicators of morbidity, hospitalization, and mortality and air temperature levels (–0.370< r <–0.461). Direct correlations of average strength (0.538< r <0.632) were established with the levels of relative air humidity.
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Authors and Affiliations

Alla Podavalenko
1
Nina Malysh
2
Viktoriya Zadorozhna
3
Kateryna Zhuk
2
Galina Zaitseva
4
Inna Chorna
2
  1. Department of Hygiene, Epidemiology, Disinfectology and Occupational Diseases of Kharkiv National Medical University, Kharkiv, Ukraine
  2. Department of Infectious Diseases with Epidemiology, Sumy State University, Sumy, Ukraine
  3. State Institution “Institute of Epidemiology and Infectious Diseases named after L.V. Gromashevsky National Academy of Medical Sciences of Ukraine”, Kyiv, Ukraine
  4. State Institution “Sumy Regional Center for Disease Control and Prevention of the Ministry of Health of Ukraine”

Elements transpositions and their impact on the cyclic structure of permutations

I. Grebennik O. Chorna
ECONTECHMOD | 2015 | No 3
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Authors and Affiliations

I. Grebennik
O. Chorna

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