Risk factors for the spread of infectious diseases in the Arctics

2021 ◽  
Vol 19 (2) ◽  
pp. 113-118
Author(s):  
L.A. Kraeva ◽  
◽  
A.L. Panin ◽  
A.E. Goncharov ◽  
D.Yu. Vlasov ◽  
...  

In the conditions of further development of the Arctic it is especially important to preserve the health of the population permanently or temporarily located in this territory. In recent years significant changes have taken place in the biosphere of the Arctic region under the influence of natural and anthropogenic factors. The population morbidity is accounted for by a number of diseases. However, the infectious component and the factors contributing to its growth remain poorly understood. Objective. To study various biocenoses in the Arctic region as potential risk areas for the spread of infectious diseases among the population. Materials and methods. The material for microbiological studies was selected in 2018–2019 in the archipelagos of Svalbard and Severnaya Zemlya. A total of 139 samples from various samples of natural, anthropogenic and ornithogenic biocenoses were studied. Research methods: classical bacteriological, MALDI-TOF mass spectrometric analysis, statistical data analysis. Results. During the study of Arctic samples were isolated and identified 309 viable bacterial strains and representatives of 117 species of micromycetes. Of all the isolated strains, the most important are Escherichia coli, Yersinia intermedia, representatives of the genera Acinetobacter, Pseudomonas, Stenotrophomonas, Serratia, Enterobacter, Enterococcus, and Staphylococcus. Conclusion. The risk factors for the spread of infectious disease pathogens in the Arctic region were identified: an increase in the number and diversity of isolated microorganisms of medical significance in dynamics; identification of pathogens of infections associated with medical care and saprozoonoses among them. Key words: Arctic, Svalbard and Severnaya Zemlya archipelagos, infectious diseases, pathogens of medical care-related infections and saprozoonoses, polar microorganisms

2019 ◽  
Vol 25 ◽  
pp. 5-19
Author(s):  
María J. Gunnarsdóttir ◽  
Sigurður Magnús Garðarsson ◽  
Hrund Ólöf Andradóttir ◽  
Alfreð Schiöth

Climate change is expected to have impact on water supply and drinking water quality in Iceland. Foremost there are three influential weather-related factors; increase in temperature; rise in sea level; and seasonal and regional change in precipitation in both quantity and intensity. In this study international and local reports and articles were analyzed for expected impact on the water resource with emphasis on the northern and the arctic region. Water quality risk factors were analyzed based on surveillance data of the water supplies from the Local Competent Authorities. Preliminary risk assessment of landslides and flooding was performed in one surveillance area in northern Iceland.


2018 ◽  
Vol 245 ◽  
pp. 03022
Author(s):  
Sergei Amelchugov ◽  
Oksana Gofman ◽  
Oksana S Mitskevich ◽  
Elena Danilovich

The article considered the process of global warming, which is mostly represented in the northern territories of Eastern Siberia. A growth of snowfall gradient and wind load gradient, resulting in building up of snowy thermal insulation layer, which prevents ground freezing, is analyzed. According to the preliminary calculations the forecast of thawing of the permafrost will completely degrade in the second part of the 21st century. The increase of the temperature and the strength of the active layer lead to the building and structures deformation. Together with natural factors technogenic and anthropogenic factors have a great impact: effect from building operation, improper handling of pile-foundation (restricted ventilation of crawlway, no provided runoff), destruction of networks. The simulation model of climate fluctuation influence on thawing of the permafrost was developed. The melting process or correspondingly crystallization takes place during thawing/freezing of the permafrost.


2018 ◽  
Vol 35 (4) ◽  
pp. 110-113
Author(s):  
V. A. Tupchienko ◽  
H. G. Imanova

The article deals with the problem of the development of the domestic nuclear icebreaker fleet in the context of the implementation of nuclear logistics in the Arctic. The paper analyzes the key achievements of the Russian nuclear industry, highlights the key areas of development of the nuclear sector in the Far North, and identifies aspects of the development of mechanisms to ensure access to energy on the basis of floating nuclear power units. It is found that Russia is currently a leader in the implementation of the nuclear aspect of foreign policy and in providing energy to the Arctic region.


2020 ◽  
Vol 33 (5) ◽  
pp. 480-489
Author(s):  
L. P. Golobokova ◽  
T. V. Khodzher ◽  
O. N. Izosimova ◽  
P. N. Zenkova ◽  
A. O. Pochyufarov ◽  
...  

2011 ◽  
Author(s):  
Chimerebere Onyekwere Nkwocha ◽  
Evgeny Glebov ◽  
Alexey Zhludov ◽  
Sergey Galantsev ◽  
David Kay

2021 ◽  
Vol 13 (10) ◽  
pp. 1884
Author(s):  
Jingjing Hu ◽  
Yansong Bao ◽  
Jian Liu ◽  
Hui Liu ◽  
George P. Petropoulos ◽  
...  

The acquisition of real-time temperature and relative humidity (RH) profiles in the Arctic is of great significance for the study of the Arctic’s climate and Arctic scientific research. However, the operational algorithm of Fengyun-3D only takes into account areas within 60°N, the innovation of this work is that a new technique based on Neural Network (NN) algorithm was proposed, which can retrieve these parameters in real time from the Fengyun-3D Hyperspectral Infrared Radiation Atmospheric Sounding (HIRAS) observations in the Arctic region. Considering the difficulty of obtaining a large amount of actual observation (such as radiosonde) in the Arctic region, collocated ERA5 data from European Centre for Medium-Range Weather Forecasts (ECMWF) and HIRAS observations were used to train the neural networks (NNs). Brightness temperature and training targets were classified using two variables: season (warm season and cold season) and surface type (ocean and land). NNs-based retrievals were compared with ERA5 data and radiosonde observations (RAOBs) independent of the NN training sets. Results showed that (1) the NNs retrievals accuracy is generally higher on warm season and ocean; (2) the root-mean-square error (RMSE) of retrieved profiles is generally slightly higher in the RAOB comparisons than in the ERA5 comparisons, but the variation trend of errors with height is consistent; (3) the retrieved profiles by the NN method are closer to ERA5, comparing with the AIRS products. All the results demonstrated the potential value in time and space of NN algorithm in retrieving temperature and relative humidity profiles of the Arctic region from HIRAS observations under clear-sky conditions. As such, the proposed NN algorithm provides a valuable pathway for retrieving reliably temperature and RH profiles from HIRAS observations in the Arctic region, providing information of practical value in a wide spectrum of practical applications and research investigations alike.All in all, our work has important implications in broadening Fengyun-3D’s operational implementation range from within 60°N to the Arctic region.


Marine Drugs ◽  
2011 ◽  
Vol 9 (11) ◽  
pp. 2423-2437 ◽  
Author(s):  
Samuel Abbas ◽  
Michelle Kelly ◽  
John Bowling ◽  
James Sims ◽  
Amanda Waters ◽  
...  

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