Vladimir Dubyanskiy - Academia.edu (original) (raw)
Papers by Vladimir Dubyanskiy
ЗДОРОВЬЕ НАСЕЛЕНИЯ И СРЕДА ОБИТАНИЯ - ЗНиСО / PUBLIC HEALTH AND LIFE ENVIRONMENT
Background: The active spread of Aedes albopictus mosquitoes, epidemiologically important vectors... more Background: The active spread of Aedes albopictus mosquitoes, epidemiologically important vectors for the transmission of dangerous arboviruses, on the Black Sea coast of the Krasnodar Region necessitates prompt analysis of the results of their monitoring using modern geographic information systems. Objective: To analyze the results of practical application of the ZikaMap web portal for tracing migration of tiger mosquitoes along the Black Sea coast of the Krasnodar Region in 2016–2022. Materials and methods: We used Aedes albopictus migration monitoring data for 2016–2022 from the ZikaMap web portal. Mosquito counts were taken in Novorossiysk, Anapa and Tuapse districts, and Sochi with the total of 476 objects and 2,366 stationary points examined. Results and discussion: Tiger mosquitoes were found on the territory of epidemically significant objects four times (in the years 2018–2019 and in 2021) and once (in 2017) at a distance of 500 m from them (within the flight range of the A...
Russian Journal of Infection and Immunity
The article presents a description of the current tick-borne infection epidemiological situation ... more The article presents a description of the current tick-borne infection epidemiological situation in the south of Russia from the years 2013 to 2022, proposes a new approach to develop forecasting models for morbidity dynamics of Astrakhan rickettsial fever (ARF) and Crimean hemorrhagic fever (СCHF) in the Astrakhan region and presents data assessing 2022 explaining models for the Stavropol Territory and Astrakhan Region. Materials and methods. A comprehensive research was performed using epidemiological analysis and non-parametric statistical methods. The data assessing tick-borne infections epidemic process manifestations were retrieved from ARF and CCHF morbidity databases (developed as a project) and documents of infectious disease focus epidemiological examination provided by the departments of Rospotrebnadzor in the subjects of the Southern and North Caucasian Federal Districts. Morbidity models were developed using the Bayes theorem and Walds sequential statistical analysis, w...
Journal of microbiology, epidemiology and immunobiology
Introduction. With the epidemiological situation for Crimean-Congo hemorrhagic fever (CCHF) remai... more Introduction. With the epidemiological situation for Crimean-Congo hemorrhagic fever (CCHF) remaining tense in many countries worldwide, special attention should be focused on development and improvement of risk-based epidemiological prediction methods.The aim of the study was to build a prediction model for CCHF incidence dynamics (based on the Stavropol Territory) using satellite monitoring (remote sensing) data.Materials and methods. We analyzed the climate data obtained from the Space Research Institute of the Russian Academy of Sciences as well as the data of public statistics reports on CCHF incidence from 2005 to 2021. The prediction model incorporated the Bayes theorem and Wald sequential analysis. The information content of the factors was assessed using the Kullback method.Results. Predictions for each of 26 districts were made stepwise (compared to threshold levels) to predict whether there will be at least one case of CCHF, whether the relative incidence per 100,000 popu...
Russian Journal of Infection and Immunity, 2021
This article is dedicated to the analysis and generalization of the Russian and foreign research ... more This article is dedicated to the analysis and generalization of the Russian and foreign research results on natural and climatic factors effect on the intensity of epidemic process manifestations and the natural focal infections pathogens vectors vital activity which are the most widespread in the Russian Federation. Over the past seven years tick-borne infections have been accounting for more than 50 per cent in the natural focal diseases general nosological structure. Among the diseases of this group Lyme borreliosis leads in prevalence and frequency of cases identification. Tick-borne viral encephalitis is still a serious danger for national health. Crimean-Congo hemorrhagic fever epidemiological situation remains unfavorable in the south of the European part of Russia. In addition to the annual patients identification, the demonstrable trend of shifting and expansion of the pathogen’s area in a northerly direction was established. It creates a risk for the spread of the Crimean-...
Health Risk Analysis, 2017
Mass events tend to become more and more dangerous for population health, as they cause various h... more Mass events tend to become more and more dangerous for population health, as they cause various health risks, including infectious pathologies risks. Our research goal was to work out scientifically grounded approaches to assessing and managing epidemiologic risks as well as analyze their application practices implemented during preparation to the Olympics-2014, the Games themselves, as well as other mass events which took place in 2014-2016. We assessed epidemiologic complications risks with the use of diagnostic test-systems and applying a new technique which allowed for mass events peculiarities. The technique is based on infections ranking as per 3 potential danger categories in accordance with created criteria which represented quantitative and qualitative predictive parameters (predictors). Application of risk-oriented approach and multi-factor analysis allowed us to detect exact possible maximum requirements for providing sanitary-epidemiologic welfare in terms of each separate nosologic form. As we enhanced our laboratory base with test-systems to provide specific indication as per accomplished calculations, it enabled us, on one hand, to secure the required preparations, and, on the other hand, to avoid unnecessary expenditures. To facilitate decision-making process during the Olympics-2014 we used an innovative product, namely, a computer program based on geoinformation system (GIS). It helped us to simplify and to accelerate information exchange within the frameworks of intra-and interdepartmental interaction. "Dynamic epidemiologic threshold" was daily calculated for measles, chickenpox, acute enteric infections and acute respiratory viral infections of various etiology. And if it was exceeded or possibility of "epidemiologic spot" for one or several nosologies occurred, an automatic warning appeared in GIS. Planning prevention activities regarding feral herd infections and zoogenous extremely dangerous infections which were endemic for Sochi was accomplished taking the completed assessment into account.
Health Risk Analysis, 2018
Предметом исследования являлось многофакторное прогнозирование риска возникновения хотя бы одного... more Предметом исследования являлось многофакторное прогнозирование риска возникновения хотя бы одного случая заболевания Крымской геморрагической лихорадкой (КГЛ) на территории отдельного административного района субъекта Российской Федерации (на примере Ставропольского края). Риск-ориентированная модель для ежегодного прогнозирования появления больных КГЛ создана с использованием методики неоднородной последовательной статистической процедуры распознавания. В качестве предикторов появления больных КГЛ рассмотрены ежемесячные показатели климатических факторов (температуры воздуха, относительной влажности воздуха, количества осадков, высоты снежного покрова, атмосферного давления) и эпидемиологические данные (количество больных КГЛ в предыдущем году и число населенных пунктов, в которых были зарегистрированы случаи заболевания КГЛ). Для проверки точности прогнозной модели были использованы значения данных факторов риска с 2011 по 2015 г. для каждого административного района Ставропольского края. Пороговый уровень вероятности позитивного решения был выбран 99 % (вероятность ошибки 1 %). Выполнена проверка предлагаемой модели прогнозирования по ретроспективным данным за 2013-2016 гг. Представлены результаты прогноза появления хотя бы одного больного КГЛ для каждого административного района Ставропольского края на 2017 г. При анализе полученных данных отмечена высокая точность потенциальных результатов прогнозирования. Суммарно выявленные шесть ложноположительных и два ложноотрицательных (действительно ошибочных) результата могут быть следствием объективных факторовнедостаточной диагностики заболевания, а также завозных случаев. Полученные данные могут быть использованы в практической деятельности учреждений Роспотребнадзора при планировании и организации мероприятий по профилактике КГЛ. Следующим этапом развития прогнозной модели будет создание методики расчета предполагаемого количества больных КГЛ для каждого административного района, в которых прогнозируется появление хотя бы одного случая заболевания в предстоящем году.
Trends in Ecology & Evolution, 2022
Russian Journal of Infection and Immunity, 2020
Y. pestis MLVA typing is used both to seek for similarities and differences between individual is... more Y. pestis MLVA typing is used both to seek for similarities and differences between individual isolates upon conducting epidemiological investigations as well as for clonal clustering of intraspecies phylogenetic groups while analyzing microevolution and taxonomy issues. It cannot be ruled out that the most variable loci may be indicators allowing to approximate the unique strain-related properties circulating in certain natural plague foci. The Central Caucasian Highland Natural Plague Focus distinguished by heterogeneity of the circulating strains therein, including proline pro- and auxo-trophy, may represent a convenient model for testing this hypothesis. The purpose of our work was to assess the frequencies of the VNTR alleles associated with proline dependence among the Y. pestis strain VNTR loci, determined during previous MLVA-25 typing in the Central Caucasian Highland Natural Plague Focus. The main task was to identify the most informative sets of VNTR loci suitable for pre...
This Provisional PDF corresponds to the article as it appeared upon acceptance. Fully formatted P... more This Provisional PDF corresponds to the article as it appeared upon acceptance. Fully formatted PDF and full text (HTML) versions will be made available soon. Potential corridors and barriers for plague spread in central Asia
Bubonic plague, caused by the bacteria Yersinia pestis, persists as a public health problem in ma... more Bubonic plague, caused by the bacteria Yersinia pestis, persists as a public health problem in many parts of the world, including central Kazakhstan. Bubonic plague occurs most often in humans through a flea bite, when a questing flea fails to find a rodent host. For many of the plague foci in Kazakhstan the great gerbil is the major host of plague, a social rodent well-adapted to desert environments. Intensive monitoring and prevention started in 1947, reducing the number of cases and mortalities enormously. However, the monitoring is labourintensive and hence expensive and is now under threat due to financial restraints. Previous research showed that the occupancy rate of the burrow-systems of the great gerbil is a strong indicator for the probability of a plague outbreak. The burrow-systems are around 30m in diameter with a bare surface. This paper aims to demonstrate the automatic classification of burrow-systems in satellite images using object-oriented analysis. We performed a field campaign in September 2007 and acquired a QuickBird image in the same period. Overall accuracy of the classification reached 95%, providing proof of concept that automatic mapping of burrow-systems using highresolution satellite images is possible. Such maps, by better defining great gerbil foci, locating new or expanding foci and measuring the density of great gerbil burrow-systems could play a major role in a renewed monitoring system by better directing surveillance and control efforts. Furthermore, if similar analyses can separate occupied burrow-systems from empty ones, then very-high-resolution images stand to play a crucial role in plague surveillance throughout central Asia.
Commonly-used mathematical models that rely on differential equations require input from many dat... more Commonly-used mathematical models that rely on differential equations require input from many data sources. While, at the same time, the availability of plague surveillance source data is rather insufficient. Temporal models, (based on differential equations or other methods), are being used for modeling without consideration of spatial distribution. In these models, it is assumed that all events are happening at an abstract point rather than considering plague focus, landscape region, or primary square. If plague simulates nature, it analyzes only a static structure of plague focus or its parts. The probabilistic, cellular automaton simulation allows the user to combine all of these rationales. The epizootic process of plague in Great gerbil settlements was a good subject for this experiment. The gerbil's burrow system represents a time-spatial, discrete unit of an epizootic process (Sedin, 1985). The data on burrow systems distribution within a plague focus was determined by GIS and remote sensing. Satellite images of the burrow systems provide a coherent picture of the colony structure (Burdelov et al., 2007; Addink et al., 2010) at many plague foci (Fig 1.).
Bubonic plague, caused by the bacteria Yersinia pestis, persists as a public health problem in ma... more Bubonic plague, caused by the bacteria Yersinia pestis, persists as a public health problem in many parts of the world, including central Kazakhstan. Bubonic plague occurs most often in humans through a flea bite, when a questing flea fails to find a rodent host. For many of the plague foci in Kazakhstan the great gerbil is the major host of plague, a social rodent well-adapted to desert environments. Intensive monitoring and prevention started in 1947, reducing the number of cases and mortalities enormously. However, the monitoring is labourintensive and hence expensive and is now under threat due to financial restraints. Previous research showed that the occupancy rate of the burrow-systems of the great gerbil is a strong indicator for the probability of a plague outbreak. The burrow-systems are around 30m in diameter with a bare surface. This paper aims to demonstrate the automatic classification of burrow-systems in satellite images using object-oriented analysis. We performed a...
Reference: Wilschut Liesbeth I., Laudisoit Anne, Hughes Nelika K., Addink Elisabeth A., de Jong S... more Reference: Wilschut Liesbeth I., Laudisoit Anne, Hughes Nelika K., Addink Elisabeth A., de Jong Steven M., Heesterbeek Hans A.P., Reijniers Jonas, Eagle Sally, Dubyanskiy Vladimir M., Begon Mike.Spatial distribution patterns of plague hosts : point pattern analysis of the burrows of great gerbils in Kazakhstan Journal of biogeography ISSN 0305-0270 42:7(2015), p. 1281-1292 Full text (Publishers DOI): http://dx.doi.org/doi:10.1111/jbi.12534 To cite this reference: http://hdl.handle.net/10067/1257450151162165141
Zhurnal Mikrobiologii Epidemiologii I Immunobiologii, 2014
Problems of the perspective of geoinformational systems (GIS) use for improvement of epidemiologi... more Problems of the perspective of geoinformational systems (GIS) use for improvement of epidemiologic control of infectious diseases including during mass events are examined. A scheme of creation of the decision making support system (DMSS) is proposed, the system is based on GIS, has general primary data and analytical-prognostic tool base including subsystems: real-time primary information intake, information analysis, epizootic and epidemic activity prognosis on the certain territories and the federal level. Specialized personnel training, creation of infrastructure for DMSS functioning in primary Federal Service of Surveillance for Protection of Consumers Rights and Human Welfare units are designated as priority tasks.
Zhurnal mikrobiologii, epidemiologii, i immunobiologii
ABSTRACT
ЗДОРОВЬЕ НАСЕЛЕНИЯ И СРЕДА ОБИТАНИЯ - ЗНиСО / PUBLIC HEALTH AND LIFE ENVIRONMENT
Background: The active spread of Aedes albopictus mosquitoes, epidemiologically important vectors... more Background: The active spread of Aedes albopictus mosquitoes, epidemiologically important vectors for the transmission of dangerous arboviruses, on the Black Sea coast of the Krasnodar Region necessitates prompt analysis of the results of their monitoring using modern geographic information systems. Objective: To analyze the results of practical application of the ZikaMap web portal for tracing migration of tiger mosquitoes along the Black Sea coast of the Krasnodar Region in 2016–2022. Materials and methods: We used Aedes albopictus migration monitoring data for 2016–2022 from the ZikaMap web portal. Mosquito counts were taken in Novorossiysk, Anapa and Tuapse districts, and Sochi with the total of 476 objects and 2,366 stationary points examined. Results and discussion: Tiger mosquitoes were found on the territory of epidemically significant objects four times (in the years 2018–2019 and in 2021) and once (in 2017) at a distance of 500 m from them (within the flight range of the A...
Russian Journal of Infection and Immunity
The article presents a description of the current tick-borne infection epidemiological situation ... more The article presents a description of the current tick-borne infection epidemiological situation in the south of Russia from the years 2013 to 2022, proposes a new approach to develop forecasting models for morbidity dynamics of Astrakhan rickettsial fever (ARF) and Crimean hemorrhagic fever (СCHF) in the Astrakhan region and presents data assessing 2022 explaining models for the Stavropol Territory and Astrakhan Region. Materials and methods. A comprehensive research was performed using epidemiological analysis and non-parametric statistical methods. The data assessing tick-borne infections epidemic process manifestations were retrieved from ARF and CCHF morbidity databases (developed as a project) and documents of infectious disease focus epidemiological examination provided by the departments of Rospotrebnadzor in the subjects of the Southern and North Caucasian Federal Districts. Morbidity models were developed using the Bayes theorem and Walds sequential statistical analysis, w...
Journal of microbiology, epidemiology and immunobiology
Introduction. With the epidemiological situation for Crimean-Congo hemorrhagic fever (CCHF) remai... more Introduction. With the epidemiological situation for Crimean-Congo hemorrhagic fever (CCHF) remaining tense in many countries worldwide, special attention should be focused on development and improvement of risk-based epidemiological prediction methods.The aim of the study was to build a prediction model for CCHF incidence dynamics (based on the Stavropol Territory) using satellite monitoring (remote sensing) data.Materials and methods. We analyzed the climate data obtained from the Space Research Institute of the Russian Academy of Sciences as well as the data of public statistics reports on CCHF incidence from 2005 to 2021. The prediction model incorporated the Bayes theorem and Wald sequential analysis. The information content of the factors was assessed using the Kullback method.Results. Predictions for each of 26 districts were made stepwise (compared to threshold levels) to predict whether there will be at least one case of CCHF, whether the relative incidence per 100,000 popu...
Russian Journal of Infection and Immunity, 2021
This article is dedicated to the analysis and generalization of the Russian and foreign research ... more This article is dedicated to the analysis and generalization of the Russian and foreign research results on natural and climatic factors effect on the intensity of epidemic process manifestations and the natural focal infections pathogens vectors vital activity which are the most widespread in the Russian Federation. Over the past seven years tick-borne infections have been accounting for more than 50 per cent in the natural focal diseases general nosological structure. Among the diseases of this group Lyme borreliosis leads in prevalence and frequency of cases identification. Tick-borne viral encephalitis is still a serious danger for national health. Crimean-Congo hemorrhagic fever epidemiological situation remains unfavorable in the south of the European part of Russia. In addition to the annual patients identification, the demonstrable trend of shifting and expansion of the pathogen’s area in a northerly direction was established. It creates a risk for the spread of the Crimean-...
Health Risk Analysis, 2017
Mass events tend to become more and more dangerous for population health, as they cause various h... more Mass events tend to become more and more dangerous for population health, as they cause various health risks, including infectious pathologies risks. Our research goal was to work out scientifically grounded approaches to assessing and managing epidemiologic risks as well as analyze their application practices implemented during preparation to the Olympics-2014, the Games themselves, as well as other mass events which took place in 2014-2016. We assessed epidemiologic complications risks with the use of diagnostic test-systems and applying a new technique which allowed for mass events peculiarities. The technique is based on infections ranking as per 3 potential danger categories in accordance with created criteria which represented quantitative and qualitative predictive parameters (predictors). Application of risk-oriented approach and multi-factor analysis allowed us to detect exact possible maximum requirements for providing sanitary-epidemiologic welfare in terms of each separate nosologic form. As we enhanced our laboratory base with test-systems to provide specific indication as per accomplished calculations, it enabled us, on one hand, to secure the required preparations, and, on the other hand, to avoid unnecessary expenditures. To facilitate decision-making process during the Olympics-2014 we used an innovative product, namely, a computer program based on geoinformation system (GIS). It helped us to simplify and to accelerate information exchange within the frameworks of intra-and interdepartmental interaction. "Dynamic epidemiologic threshold" was daily calculated for measles, chickenpox, acute enteric infections and acute respiratory viral infections of various etiology. And if it was exceeded or possibility of "epidemiologic spot" for one or several nosologies occurred, an automatic warning appeared in GIS. Planning prevention activities regarding feral herd infections and zoogenous extremely dangerous infections which were endemic for Sochi was accomplished taking the completed assessment into account.
Health Risk Analysis, 2018
Предметом исследования являлось многофакторное прогнозирование риска возникновения хотя бы одного... more Предметом исследования являлось многофакторное прогнозирование риска возникновения хотя бы одного случая заболевания Крымской геморрагической лихорадкой (КГЛ) на территории отдельного административного района субъекта Российской Федерации (на примере Ставропольского края). Риск-ориентированная модель для ежегодного прогнозирования появления больных КГЛ создана с использованием методики неоднородной последовательной статистической процедуры распознавания. В качестве предикторов появления больных КГЛ рассмотрены ежемесячные показатели климатических факторов (температуры воздуха, относительной влажности воздуха, количества осадков, высоты снежного покрова, атмосферного давления) и эпидемиологические данные (количество больных КГЛ в предыдущем году и число населенных пунктов, в которых были зарегистрированы случаи заболевания КГЛ). Для проверки точности прогнозной модели были использованы значения данных факторов риска с 2011 по 2015 г. для каждого административного района Ставропольского края. Пороговый уровень вероятности позитивного решения был выбран 99 % (вероятность ошибки 1 %). Выполнена проверка предлагаемой модели прогнозирования по ретроспективным данным за 2013-2016 гг. Представлены результаты прогноза появления хотя бы одного больного КГЛ для каждого административного района Ставропольского края на 2017 г. При анализе полученных данных отмечена высокая точность потенциальных результатов прогнозирования. Суммарно выявленные шесть ложноположительных и два ложноотрицательных (действительно ошибочных) результата могут быть следствием объективных факторовнедостаточной диагностики заболевания, а также завозных случаев. Полученные данные могут быть использованы в практической деятельности учреждений Роспотребнадзора при планировании и организации мероприятий по профилактике КГЛ. Следующим этапом развития прогнозной модели будет создание методики расчета предполагаемого количества больных КГЛ для каждого административного района, в которых прогнозируется появление хотя бы одного случая заболевания в предстоящем году.
Trends in Ecology & Evolution, 2022
Russian Journal of Infection and Immunity, 2020
Y. pestis MLVA typing is used both to seek for similarities and differences between individual is... more Y. pestis MLVA typing is used both to seek for similarities and differences between individual isolates upon conducting epidemiological investigations as well as for clonal clustering of intraspecies phylogenetic groups while analyzing microevolution and taxonomy issues. It cannot be ruled out that the most variable loci may be indicators allowing to approximate the unique strain-related properties circulating in certain natural plague foci. The Central Caucasian Highland Natural Plague Focus distinguished by heterogeneity of the circulating strains therein, including proline pro- and auxo-trophy, may represent a convenient model for testing this hypothesis. The purpose of our work was to assess the frequencies of the VNTR alleles associated with proline dependence among the Y. pestis strain VNTR loci, determined during previous MLVA-25 typing in the Central Caucasian Highland Natural Plague Focus. The main task was to identify the most informative sets of VNTR loci suitable for pre...
This Provisional PDF corresponds to the article as it appeared upon acceptance. Fully formatted P... more This Provisional PDF corresponds to the article as it appeared upon acceptance. Fully formatted PDF and full text (HTML) versions will be made available soon. Potential corridors and barriers for plague spread in central Asia
Bubonic plague, caused by the bacteria Yersinia pestis, persists as a public health problem in ma... more Bubonic plague, caused by the bacteria Yersinia pestis, persists as a public health problem in many parts of the world, including central Kazakhstan. Bubonic plague occurs most often in humans through a flea bite, when a questing flea fails to find a rodent host. For many of the plague foci in Kazakhstan the great gerbil is the major host of plague, a social rodent well-adapted to desert environments. Intensive monitoring and prevention started in 1947, reducing the number of cases and mortalities enormously. However, the monitoring is labourintensive and hence expensive and is now under threat due to financial restraints. Previous research showed that the occupancy rate of the burrow-systems of the great gerbil is a strong indicator for the probability of a plague outbreak. The burrow-systems are around 30m in diameter with a bare surface. This paper aims to demonstrate the automatic classification of burrow-systems in satellite images using object-oriented analysis. We performed a field campaign in September 2007 and acquired a QuickBird image in the same period. Overall accuracy of the classification reached 95%, providing proof of concept that automatic mapping of burrow-systems using highresolution satellite images is possible. Such maps, by better defining great gerbil foci, locating new or expanding foci and measuring the density of great gerbil burrow-systems could play a major role in a renewed monitoring system by better directing surveillance and control efforts. Furthermore, if similar analyses can separate occupied burrow-systems from empty ones, then very-high-resolution images stand to play a crucial role in plague surveillance throughout central Asia.
Commonly-used mathematical models that rely on differential equations require input from many dat... more Commonly-used mathematical models that rely on differential equations require input from many data sources. While, at the same time, the availability of plague surveillance source data is rather insufficient. Temporal models, (based on differential equations or other methods), are being used for modeling without consideration of spatial distribution. In these models, it is assumed that all events are happening at an abstract point rather than considering plague focus, landscape region, or primary square. If plague simulates nature, it analyzes only a static structure of plague focus or its parts. The probabilistic, cellular automaton simulation allows the user to combine all of these rationales. The epizootic process of plague in Great gerbil settlements was a good subject for this experiment. The gerbil's burrow system represents a time-spatial, discrete unit of an epizootic process (Sedin, 1985). The data on burrow systems distribution within a plague focus was determined by GIS and remote sensing. Satellite images of the burrow systems provide a coherent picture of the colony structure (Burdelov et al., 2007; Addink et al., 2010) at many plague foci (Fig 1.).
Bubonic plague, caused by the bacteria Yersinia pestis, persists as a public health problem in ma... more Bubonic plague, caused by the bacteria Yersinia pestis, persists as a public health problem in many parts of the world, including central Kazakhstan. Bubonic plague occurs most often in humans through a flea bite, when a questing flea fails to find a rodent host. For many of the plague foci in Kazakhstan the great gerbil is the major host of plague, a social rodent well-adapted to desert environments. Intensive monitoring and prevention started in 1947, reducing the number of cases and mortalities enormously. However, the monitoring is labourintensive and hence expensive and is now under threat due to financial restraints. Previous research showed that the occupancy rate of the burrow-systems of the great gerbil is a strong indicator for the probability of a plague outbreak. The burrow-systems are around 30m in diameter with a bare surface. This paper aims to demonstrate the automatic classification of burrow-systems in satellite images using object-oriented analysis. We performed a...
Reference: Wilschut Liesbeth I., Laudisoit Anne, Hughes Nelika K., Addink Elisabeth A., de Jong S... more Reference: Wilschut Liesbeth I., Laudisoit Anne, Hughes Nelika K., Addink Elisabeth A., de Jong Steven M., Heesterbeek Hans A.P., Reijniers Jonas, Eagle Sally, Dubyanskiy Vladimir M., Begon Mike.Spatial distribution patterns of plague hosts : point pattern analysis of the burrows of great gerbils in Kazakhstan Journal of biogeography ISSN 0305-0270 42:7(2015), p. 1281-1292 Full text (Publishers DOI): http://dx.doi.org/doi:10.1111/jbi.12534 To cite this reference: http://hdl.handle.net/10067/1257450151162165141
Zhurnal Mikrobiologii Epidemiologii I Immunobiologii, 2014
Problems of the perspective of geoinformational systems (GIS) use for improvement of epidemiologi... more Problems of the perspective of geoinformational systems (GIS) use for improvement of epidemiologic control of infectious diseases including during mass events are examined. A scheme of creation of the decision making support system (DMSS) is proposed, the system is based on GIS, has general primary data and analytical-prognostic tool base including subsystems: real-time primary information intake, information analysis, epizootic and epidemic activity prognosis on the certain territories and the federal level. Specialized personnel training, creation of infrastructure for DMSS functioning in primary Federal Service of Surveillance for Protection of Consumers Rights and Human Welfare units are designated as priority tasks.
Zhurnal mikrobiologii, epidemiologii, i immunobiologii
ABSTRACT