Assessment of epidemiological safety of drinking water by microbiological indicators in the Russian Federation and the Republic of Bashkortostan
The aim of the study was to assess the epidemiologic safety of drinking water for the population based on the correlation-regression relationship between the incidence of intestinal infections and drinking water samples that do not meet sanitary and microbiologic indicators. Official data on the quality of water from drinking water supply sources and morbidity rates of the population were used for the analysis. Correlation and regression analysis calculations were performed using the data analysis package in Microsoft Excel. The dependent variable y is the share of water samples non-compliant by microbiological indicators, and the independent variable x is the morbidity rate per 100,000 population by individual nosologies. The sample is equal to n=10 for 2013 and 2022. Variables x are dependent on each other, to exclude multicollinearity between variables, regression analysis was performed stepwise (y1-x1, y1-x2, etc.). Calculations were performed between variables with medium and high correlation coefficients. The obtained mathematical model can be improved and used to find the relationship between poor-quality drinking water and morbidity of the population also in other diseases. Keywords: water supply, acute intestinal infections, distribution network, water supply.
Authors
- З Б Бактыбаева (ORCID: https://orcid.org/0000-0003-1249-7328)
- Т К Валеев (ORCID: https://orcid.org/0000-0001-7801-2675)
- N.R. Rahmatullin (ORCID: https://orcid.org/0000-0002-3091-8029)
- Р А Сулейманов (ORCID: https://orcid.org/0000-0002-4134-5828)
- Е Г Степанов (ORCID: https://orcid.org/0000-0002-1917-8998)
- А.R. Rakhimova (ORCID: https://orcid.org/0009-0001-9963-6222)
Publication Details
- Journal
- Yakut Medical Journal
- Published
- 2024-09-30
- DOI
- https://doi.org/10.25789/ymj.2024.87.14
- Primary Topic
- Human Health and Disease
- Type
- article
- Field-Weighted Citation Impact
- 0.00