The Space and Terrestrial Weather Variations as Possible Factors for Ischemia Events in Saint Petersburg

Stupishina, Olga M.; Golovina, Elena G.; Noskov, Sergei; Yeremin, Gennady B.; Горбанев, С. А.

doi:10.3390/atmos13010008

Cited by 4 publications

(3 citation statements)

References 37 publications

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“…Data on the incidence of the population with various pathologies. To obtain the above information, available statistical and scientific information was used (Table 1) [16][17][18][19][20][21][22].…”

Section: Sources Of Informationmentioning

confidence: 99%

Assessment of the population health risk under the impact of climatic factors in the territory of St Petersburg

Noskov

Mironenko²,

Yeremin³

et al. 2022

Vestnik SPbSU. Medicine

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In recent years, climate change has been considered one of the leading factors affecting the health of the population, one of the conditions for the implementation of this concept for specific risk factors in St Petersburg is the development and use of adequate methods. In this work, as a methodological basis for assessing the state of health of the population, taking into account climatic conditions, the methodology of MR 2.1.10.0057-12 “The state of health of the population in connection with the state of the environment and living conditions of the population. Assessing the risk and damage from climate change affecting the increase in morbidity and mortality in high-risk population groups. Guidelines” was used. The presence of statistically significant correlations between the effective air temperature in St Petersburg and the primary incidence of diabetes mellitus in people older than working age has been established (Spearman rank correlation coefficient –0.829, p = 0.042); primary incidence of acute respiratory infections of the upper respiratory tract in children 0–14 years old (Spearman rank correlation coefficient –0.886, p = 0.019); primary incidence of chronic obstructive pulmonary disease in children 15–17 years (Spearman rank correlation coefficient –0.943, р = 0.005). The presence of established direct and inverse statistically significant correlations can be explained logically based on modern ideas about the impact of climatic parameters on human health, however, in this case, the logical connection seems doubtful due to the highest deviation of the average annual air temperature from the norm in 2020 and the pandemic of a new coronavirus infection COVID-19. Therefore, a decrease in morbidity (in the case of a negative correlation) can be explained by a reduction in planned medical care.

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Section: Sources Of Informationmentioning

confidence: 99%

Assessment of the population health risk under the impact of climatic factors in the territory of St Petersburg

Noskov

Mironenko²,

Yeremin³

et al. 2022

Vestnik SPbSU. Medicine

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“…Investigation of geomagnetic data is of interest in different spheres of human activities, for example, research of atmosphere and hydrosphere [7], the study of the Earth deep structure (magnetotelluric sounding) [8,9], space weather forecast [2][3][4][5][6]10,11], seismic activity monitoring [12], and so on. The negative impact of geomagnetic disturbances on technical objects and on human health [13][14][15][16][17][18][19] determines the important applied significance of the research. The latest investigations show that sudden geomagnetic field short-period variations (geomagnetic pulsations) are a significant source of such an impact [11,12,20].…”

Section: Introductionmentioning

confidence: 99%

Wavelet Model of Geomagnetic Field Variations and Its Application to Detect Short-Period Geomagnetic Anomalies

2022

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Geomagnetic data analysis is an important basis for the investigation of the processes in the near-Earth space, Earth magnetosphere, and ionosphere. The negative impact of geomagnetic anomalies on modern technical objects and human health determine the applied significance of the investigation and requires the creation of effective methods for timely detection of the anomalies. Priory complicated structure of geomagnetic data makes their formalization and analysis difficult. This paper proposes a wavelet model for geomagnetic field variations. It describes characteristic changes and anomalies of different amplitude and duration. Numerical realization of the model provides the possibility to apply it in online analysis. We describe the process of model identification and show its efficiency in the detection of sudden, short-period geomagnetic anomalies occurring before and during magnetic storms. Raw second data of the Paratunka and Magadan observatories and post-processed minute data were used in the paper. The question of noise effect on the proposed model results was under consideration.

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“…Реализация мероприятий плана станет одной из приоритетных задач обеспечения санитарноэпи демиологического благополучия. Проводимые научные исследования в этой сфере станут основой для разработки мер по профилактике заболеваний, обусловленных климатическими изменениями, а также управленческих решений, направленных на снижение заболеваемости и смертности среди населения [13][14][15][16][17][18][19][20][21].…”

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Investigation of the Relationship between Fluctuations in Natural and Climatic Factors and Incidence Rates in Selected Territories of the Russian Federation

Noskov¹,

Stupishina²,

Yeremin³

et al. 2023

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Introduction: The implementation of measures of the sectoral plan for adaptation of the population to climate change is one of the priority tasks of ensuring sanitary and epidemiological well-being of the population. The ongoing scientific research is the basis for the development of management solutions aimed at reducing morbidity and mortality related to the observed and upcoming climate changes. Objective: To assess the relationship between fluctuations in natural and climatic factors and incidence rates in the population of selected territories of the Russian Federation. Materials and methods: The territories of the cities of Moscow and St. Petersburg as well as Murmansk, Arkhangelsk, Leningrad, Moscow, Voronezh, Rostov, and Krasnodar regions were selected for the assessment taking into account changes in the latitude of the terrain from north to south (from the 68th to 37th parallels north). The prepared database of incidence rates and weather conditions on the above territories for the years 2008–2019 was used for the analysis. Mathematical modeling was the methodological basis for data processing. Results: We analyzed the potential relationship between changes in natural and climatic factors and incidence rates in the population of nine regions of the Russian Federation. We also tested the link between geographical coordinates and incidence rates and established the latitudinal dependence of the increase in the incidence in the range of the 60th to 47th parallels north in four regions. There, we observed an increase and a decrease in the incidence in total population related to such meteorological parameters as wind velocity in the city of Voronezh, relative humidity in the cities of Murmansk, Arkhangelsk, St. Petersburg, and Rostov-on-Don, cloud cover in Murmansk and Arkhangelsk in 2009 and 2012, respectively. No relationships were found in the city of Moscow and the Krasnodar Region. Conclusion: We revealed the relationships between fluctuations in wind velocity, humidity, and cloud cover and the incidence rates in the areas under study and identified priority territories and periods for further research.

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The Space and Terrestrial Weather Variations as Possible Factors for Ischemia Events in Saint Petersburg

Cited by 4 publications

References 37 publications

Assessment of the population health risk under the impact of climatic factors in the territory of St Petersburg

Assessment of the population health risk under the impact of climatic factors in the territory of St Petersburg

Wavelet Model of Geomagnetic Field Variations and Its Application to Detect Short-Period Geomagnetic Anomalies

Investigation of the Relationship between Fluctuations in Natural and Climatic Factors and Incidence Rates in Selected Territories of the Russian Federation

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