Epidemiological Community and Differences of Transmissive Infections in Astrakhan Region

Relevance. The territory of the Astrakhan region hosts natural foci of severe infections of arbovirus etiology – Crimean-Congo hemorrhagic fever (CCHF) and Astrakhan fever (spotted fever resembling the Mediterranean spotted fever, Astrakhan spotted fever (ASF). The long-term average incidence of CCHF and ASF in the Astrakhan region is to 11 and 135 times higher, respectively, than the average incidence in the Russian Federation. Aims. To present, based on epidemiological data, a comparative characterization of transmissible infections of CCHF and ASF in the Astrakhan region. Materials & Methods. The main method of the study was epidemiological. The data for 2000−2016 of primary medical documentation Ф.058/у «Emergency notification of infectious disease, food, acute occupational poisoning, unusual reaction to vaccination», federal statistical observation Ф. 2 «Information on infectious and parasitic diseases», Ф. 357/у «Epidemiological examination card of infectious disease focus», Ф. .003/у «Medical card of inpatient patient», presented by Center of hygiene and epidemiology in Astrakhan region. For retrospective epidemiological analysis, we studied the absolute and intensive morbidity indicators (per 100 ths population), by age, professional groups, and among the urban and rural population. Based on the average long-term morbidity indicators of the population, a mapping of the territory of the Astrakhan region was carried out. The influence of natural and climatic conditions on the epidemic process of CCHF and ASF was assessed by meteorological data (amount of precipitation, air temperature, etc.). Materials of long-term observation over 11 districts of Astrakhan region and Astrakhan city were analyzed, including data on the spread of Ixodid ticks, population contact with them (according to the attendance of people to treatment-and-prophylactic organizations of the region). Statistical data processing was carried out using the method of straight-line alignment of dynamic series of morbidity indicators, calculation of the average annual rate of decrease/increase. Correlation analysis was used to assess the direction and strength of the relationship between the indicators, and quantitative dependence between epidemic process characteristics. Differences between the indicators were considered to be reliable if p < 0.05. Results. During the analyzed period 151 cases of CCHF and 3951 cases of ASF were identified. By 2016. CCHF was registered in all 11 districts of the region and the area of foci covered 44,000 km2 and 44,100 km2, respectively. There are no differences significantly affecting the epidemic process of CCHF and ASF, so preventive measures are mainly aimed at controlling the vectors of the pathogens of these infections. The comprehensive study of the territory of Astrakhan region carried out in 2000–2016 revealed expansion of CCHF and ASF areal of disease (by 11.8% and 23.4% respectively) and determined the territories with the highest risk of infection, which allowed to increase and redistribute the volumes of acaricide treatments of the territories with the highest infection risk and ensure the decrease of CCHF and ASF morbidity rates. Conclusion. As a result of the comprehensive study conducted in 2000–2016 in the territory of Astrakhan region, the expansion of CCHF and ASF areal of disease was revealed (by 11.8% and 23.4% respectively) and the areas of highest infection risk were identified, which allowed to increase and redistribute the volume of acaricide treatments of the areas of highest infection risk and ensure the reduction of CCHF and ASF morbidity.

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To the question of the reasons for the activation of the epidemic process of Мeasles at the stage of elimination of infection and the forecast of the situation in the near and long term

CHILDREN INFECTIONS ◽

10.22627/2072-8107-2021-20-1-51-55 ◽

2021 ◽

Vol 20 (1) ◽

pp. 50-55

Author(s):

T. A. Platonova ◽

A. A. Golubkova ◽

S. S. Smirnova

Keyword(s):

Mathematical Modeling ◽

Vulnerable Groups ◽

Medical Documentation ◽

Epidemic Process ◽

Population Immunity ◽

Spread Of Infection ◽

Measles Incidence ◽

Observation Period

Introduction. Measles infection in recent years has become particularly relevant in connection with the registration of outbreaks of this disease in various territoriesof the Russian Federation and abroad.The aim of the study is to characterize the epidemic process of measles in a large industrial city in the near and long term with the use of modern mathematical modeling technologies for making new management decisions on infection control at the elimination stage.Materials and methods. The research materials were data from statistical reports of measles incidence in Yekaterinburg from 1950 to 2019 (70 years of follow-up), medical documentation of measles cases, population vaccination data (form No. 6 for 2000—2018 and outpatient maps of children under two years of age vaccinated against measles), results of screening for measles IgG ofmedical organizations, data of planned serological monitoringof population immunity to measles in «indicator» groups in the period from 2013 to 2017 and the results of mathematical modeling of measles incidence in different scenarios of its prevention.Results. Under the influence of vaccination, the epidemic process of measles in Yekaterinburg — a city with a population of 1.5million inhabitants-has undergone significant changes. During the observation period, the incidence decreased to sporadic levels, there was no indigenous measles, drifts from endemic areas had no consequences, the epidemic process was under control. However, outbreaks of 72 cases in 2016 and 90 cases in 2019 have changed our view of measles as a eradicated infection.Of the factors that led to the spread of infection in the foci, the most significant were the presence of measles-susceptible children and adults, including those previously vaccinated, mainly in the periods remote from vaccination and revaccination, defects in the clinical diagnosis of measlesin the first and subsequent cases, and violations in the organization and conduct of anti-epidemic measures. Conclusion. Based on the data of mathematical modeling of the epidemic process of measles with different combinations of its determinants, for the elimination of infection, it is necessary to ensure vaccination against measles at the age of 1 year and 6 years in 95—97.5%. In vulnerable groups for infection to discuss the introduction of routine revaccination among people up to 50 years of age with an interval of 10 years.

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DROUGHT OCCURRENCE UNDER LITHUANIAN CLIMATIC CONDITIONS

Proceedings of the 7th International Scientific Conference Rural Development 2015 ◽

10.15544/rd.2015.059 ◽

2015 ◽

Cited By ~ 1

Author(s):

Laima TAPARAUSKIENĖ ◽

Veronika LUKŠEVIČIŪTĖ

Keyword(s):

Meteorological Data ◽

Standardized Precipitation Index ◽

Vegetation Period ◽

Climatic Conditions ◽

Precipitation Record ◽

Calculation Step ◽

Drought Conditions ◽

The Standardized Precipitation Index ◽

June July

This study provides the analysis of drought conditions of vegetation period in 1982-2014 year in two Lithuanian regions: Kaunas and Telšiai. To identify drought conditions the Standardized Precipitation Index (SPI) was applied. SPI was calculated using the long-term precipitation record of 1982–2014 with in-situ meteorological data. Calculation step of SPI was taken 1 month considering only vegetation period (May, June, July, August, September). The purpose of investigation was to evaluate the humidity/aridity of vegetation period and find out the probability of droughts occurrence under Lithuanian climatic conditions. It was found out that according SPI results droughts occurred in 14.5 % of all months in Kaunas region and in 15.8 % in Telšiai region. Wet periods in Kaunas region occurred in 15.8 %, and in Telšiai region occurrence of wet periods was – 18.8 % from all evaluated months. According SPI evaluation near normal were 69.7 % of total months during period of investigation in Kaunas and respectively – 65.5 % in Telšiai. The probability for extremely dry period under Lithuania climatic conditions are pretty low – 3.0 % in middle Lithuania and 2.4 % in western part of Lithuania.

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SATELLITE DATA FOR INVESTIGATION OF RECENT STATE AND PROCESSES IN THE SIVASH BAY

Proceedings of International Conference "Managinag risks to coastal regions and communities in a changinag world" (EMECS'11 - SeaCoasts XXVI) ◽

10.21610/conferencearticle_58b43159b0693 ◽

2017 ◽

Author(s):

Ekaterina Shchurova ◽

Rimma Stanichnaya ◽

Sergey Stanichny ◽

...

Keyword(s):

Satellite Data ◽

Water Exchange ◽

High Salinity ◽

Meteorological Data ◽

Sea Surface ◽

Azov Sea ◽

Seasonal Wind ◽

Ice Regime ◽

Very High

Sivash bay is the shallow-water lagoon of the Azov Sea. Restricted water exchange and high evaporation form Sivash as the basin with very high salinity. This factor leads to different from the Azov Sea thermal and ice regimes of Sivash. Maine aim of the study presented to investigate recent state and changes of the characteristics and processes in the basin using satellite data. Landsat scanners TM, ETM+, OLI, TIRS together with MODIS and AVHRR were used. Additionally NOMADS NOAA and MERRA meteorological data were analyzed. The next topics are discussed in the work: 1. Changes of the sea surface temperature, ice regime and relation with salinity. 2. Coastal line transformation – long term and seasonal, wind impact. 3. Manifestation of the Azov waters intrusions through the Arabat spit, preferable wind conditions.

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Characteristics of vegetation response to drought in the CONUS based on long-term remote sensing and meteorological data

Ecological Indicators ◽

10.1016/j.ecolind.2021.107767 ◽

2021 ◽

Vol 127 ◽

pp. 107767

Author(s):

Shaobo Zhong ◽

Ziheng Sun ◽

Liping Di

Keyword(s):

Remote Sensing ◽

Meteorological Data ◽

Vegetation Response

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Estimation of Probable Effects of Grobal Warming on Water Resources in Japan Based on Long-term Meteorological Data Analysis

PROCEEDINGS OF HYDRAULIC ENGINEERING ◽

10.2208/prohe.35.647 ◽

1991 ◽

Vol 35 ◽

pp. 647-652

Author(s):

Akihiro MORITANI ◽

Kaoru NIWA

Keyword(s):

Data Analysis ◽

Water Resources ◽

Meteorological Data

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Comparison of parametric and non-parametric time-series analysis methods on a long-term meteorological data set

Central European Geology ◽

10.1556/24.60.2017.011 ◽

2017 ◽

Vol 60 (3) ◽

pp. 316-332 ◽

Cited By ~ 6

Author(s):

Tímea Kocsis ◽

Ilona Kovács-Székely ◽

Angéla Anda

Keyword(s):

Time Series ◽

Time Series Analysis ◽

Meteorological Data ◽

Data Set ◽

Series Analysis ◽

Analysis Methods ◽

Non Parametric

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Quantitative Analyses of Variations in the Injury of Endothelial Cells Elicited by 11 Isolates of Rickettsia rickettsii

Clinical and Diagnostic Laboratory Immunology ◽

10.1128/cdli.8.4.788-796.2001 ◽

2001 ◽

Vol 8 (4) ◽

pp. 788-796 ◽

Cited By ~ 41

Author(s):

Marina E. Eremeeva ◽

Gregory A. Dasch ◽

David J. Silverman

Keyword(s):

North Carolina ◽

Endothelial Cells ◽

Reduced Glutathione ◽

Spotted Fever ◽

Ixodid Ticks ◽

Spotted Fever Group ◽

Cellular Injury ◽

Rickettsia Rickettsii ◽

Cytopathic Effects ◽

Group I

ABSTRACT Eleven isolates of spotted fever group rickettsiae from the blood of patients or ixodid ticks from North and South America were characterized. All isolates were identified as Rickettsia rickettsii using restriction fragment length polymorphism analysis of a 532-bp rOmpA gene fragment obtained by PCR. The ability of the R. rickettsii isolates to elicit cytopathic effects and parameters of oxidative injury were examined in cultured human EA.hy 926 endothelial cells. Cytopathic effects were determined by direct observation of infected cultures, by measuring the release of cytoplasmic lactate dehydrogenase (LDH), and by determination of intracellular pools of peroxide and reduced glutathione. Four biotypes of R. rickettsii were defined. Group I included two highly cytopathic isolates from Montana, Bitterroot and Sheila Smith, and three isolates from Maryland, North Carolina, and Brazil. These isolates rapidly damaged cells, released large amounts of cytoplasmic LDH, caused accumulation of intracellular peroxide, and depleted intracellular pools of reduced glutathione. Group II contained three isolates, two from Montana, Hlp#2 and Lost Horse Canyon, and an isolate from Colombia, which were similar to group I but caused either lower responses in LDH release or smaller changes in intracellular peroxide levels. The group III isolates, Sawtooth from Montana and 84JG from North Carolina, caused lower cellular injury by all measures. Group IV isolate Price T from Montana was the least cytopathic and caused minimal alterations of all parameters measured. Understanding the molecular basis for the varied cellular injury caused by different isolates of R. rickettsii may contribute to improved treatment of Rocky Mountain spotted fever and to the rapid identification of those isolates which are more likely to cause fulminant disease.

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