O. felineus is the most common liver fluke on the territory of the former Soviet Union, and opisthorchiasis has a leading role in the morbidity structure of the Russian population among the entire range of infectious diseases. The largest world nature focus of opisthorchiasis caused by O. felineus is in the Ob–Irtysh basin.
Parasitic diseases have been one of the main pathologies on the territory of the Khanty-Mansiysk Autonomous Okrug-Yugra (KhMAO-Yugra) over time, which is one of several regions hyperendemic in terms of opisthorchiasis. According to the state report “On the state of sanitary and epidemiological well-being of the population in the KhMAO-Yugra” the total share of the opisthorchiasis prevalence is more than 99.5% of all registered cases of parasites infection. Futhermore, the opisthorchiasis prevalence of the KhMAO-Yugra population in 2018 was 24 times higher than this indicator as a whole in Russia.
It is necessary to take into account the complex nature of human interaction with society and the environment, during conducting medical and statistical research. The degree of influence of various factors on the incidence of the population can be estimated using the correlation theory and GIS technologies.
The purpose of this work is to study the causal relationships between socio-economic factors and the opisthorchiasis prevalence in the territory of the KhMAO-Yugra.
In order to assess the dynamics of the opisthorchiasis prevalence in the territory of the KhMAO-Yugra, a spatial-temporal map of the prevalence dynamics in the districts of the region was built. This map was made by means of the QGIS geographic information system, with reference to the prevalence data within each district of the KhMAO-Yugra territory.
In this investigation a spatial-temporal map of the opisthorchiasis prevalence dynamics in the districs of the KhMAO-Yugra was created, the prevalence dependence on various socio-economic factors was determined. It was found that the strength of the relationship between the prevalence and most of the selected factors is quite low. The most indicative factors were the number of stores selling fresh fish and the number of settlements in the territory of the municipalities of the KhMAO-Yugra.
|Affiliation of speaker||ITMO University|
|Publication||IOP Conference Series: Earth and Environmental Science|