Geographic information systems as a part of epidemiological surveillance for COVID-19 in urban areas

Блох, А. И.; Пеньевская, Н. А.; Рудаков, Н. В.; Михайлова, О. А.; Федоров, А. С.; Санников, А. В.; Никитин, С. В.

doi:10.23946/2500-0764-2021-6-2-16-23

Cited by 3 publications

(4 citation statements)

References 6 publications

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“…Информационные панели Johns Hopkins University [12,13], Всемирной орга низации здравоохранения [1], Стопкоронавирус. рф, YandexDataLens демонстрировали оператив ные данные, характеризующие в том числе и тер риториальное распределение случаев заболевания [2][3][4]12].…”

Section: Discussionunclassified

“…Распространение COVID19 по всему миру об условило выраженный интерес к изучению фун даментальных свойств возбудителя, патогенеза заболевания и способов специфической профи лактики. В то же время с позиций общественного здоровья интерес представляет адресное плани рование и реализация противоэпидемических мероприятий в наиболее пораженных регионах и населенных пунктах или его административных единицах [3,4].…”

Section: Introductionunclassified

“…В рутинной эпидемиологической практике дав но используется традиционное картографирование для ретроспективной оценки территориального распределения случаев различных заболеваний. Обычный подход представляет собой изучение ре гиональных данных, тогда как первичные данные пациентов слабо используются в оперативном анализе в ходе эпидемиологического надзора вне контекста расследования случаев инфекционных заболеваний [2,4]…”

Section: Introductionunclassified

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Possibilities of Using Geoinformation Technologies in Epidemiological Surveillance of COVID-19 Infection at the Regional Level

Kravchenko,

Blokh,

Pasechnik

2024

Epidemiology and Vaccinal Prevention

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Relevance. The spread of the new coronavirus infection throughout the world has led to expressed interest in studying, among other things, the patterns of territorial distribution of cases of the disease. Aim. To investigate the spatial distribution of cases of COVID-19 infection and develop proposals for the use of GIS technologies in the epidemiological supervision system for the new coronavirus infection at the regional level. Materials and methods. The study was conducted on the territory of the closed administrative- territorial entity of Zelenogorsk, Krasnoyarsk Territory. 4176 cases of COVID-19 infection were reported during the study period of 57 weeks (04/12/2020 to 06/18/2021). Each case of the disease was geocoded by the residence of the sick person using a projection coordinate system from the open data of the Open Street Map resource. The spatial distribution of COVID-19 cases was studied with geographic information system QGIS Desktop version 3.28.0. Spatial autocorrelation analysis was carried out using the Getis-Ord index. Results. During the application of GIS technologies, the density of distribution of COVID-19 infection cases was estimated, six zones with an average core density were discovered, the outbreaks in the northern part of the city had the greatest epidemiological significance. When assessing the clustering of cases within the specified territorial zones, eleven clusters were identified, three of which were characterized by the highest density of cases - 1210.1 cases per 1 sq. km, 1155.9 and 1116.7 cases per 1 sq. km. The Getis-Ord index value ranged from 0.00 to 2.576, the majority of cases was recorded in territorial clusters located in the northern part of the city. Conclusions. New knowledge obtained on the basis of modern GIS technologies about the presence of “hot spots” or clusters in the administrative territory will make the adjustment of preventive measures in micro-areas with a high prevalence of infection possible and develop strategies for more effective control of COVID-19 infection.

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Section: Discussionunclassified

Section: Introductionunclassified

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Possibilities of Using Geoinformation Technologies in Epidemiological Surveillance of COVID-19 Infection at the Regional Level

Kravchenko,

Blokh,

Pasechnik

2024

Epidemiology and Vaccinal Prevention

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“…Moreover, if there is information about the place of residence and/or the potential place of occurrence of an infectious or parasitic disease, mapping is more informative than the traditional analysis of disease incidence by district or municipality since the boundaries of disease foci and administrative boundaries may not coincide [6]. It should also be noted that the rapid assessment of the spatial distribution of cases of infectious and parasitic diseases by geographic information systems that allow creating focus density maps has great potential in planning anti-epidemic measures and can be performed in real time [7]. Hence, geoinformation systems are gradually becoming a flexible tool for improving the system of epidemiological surveillance and expanding the possibilities in making managerial decisions [5,8].…”

Section: Introductionmentioning

confidence: 99%

Choosing Data Clustering Tools For GIS-Based Visualization Of Disease Incidence In The Population

Buzinov,

Fedorov,

Kovshov

et al. 2023

Russ Open Med J

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Objective — To substantiate the choice of optimal tools for clustering spatially referenced data on disease incidence for GIS-based analysis of their spatial distribution. Material and Methods — We used primary data on the incidence of malignant neoplasms, chronic alcoholism, and asthma in the population of eight administrative areas in Arkhangelsk Oblast as a constituent entity of the Arctic Zone of the Russian Federation. Disease incidence was averaged over a 5-year period from 2016 to 2020. We assessed the methods for visualizing the distribution of spatially referenced indicators using the ArcMap geoinformation system tools. Results — The study yielded differences in the outcomes of automated clustering of spatially referenced data in ArcMap, depending on the normality of the distribution in individual samples and the spread of indicator values, which was visually reflected on the resulting map. The parameter values in the samples directly affected the features of data clustering. Hence, this issue is important to consider for ensuring the correct choice of the appropriate analytical tool. Conclusion — Our study demonstrated that when using tools for automated clustering of spatially referenced incidence data in terms of their visualization in ArcGIS, it is necessary to consider the factors that directly affect the accuracy of their presentation. We consider it most appropriate to use a clustering tool based on the geometric interval method.

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Analysis of intra annual spatial dynamics of community-aсquired pneumonia incidence in the urban environment

Кравченко

Galyos

Khakimova³

et al. 2022

Acta biomedica scientifica

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Background. The spread of community-acquired pneumonia (CAP) in children and adults is interconnected and conditioned by natural, climatic and social factors.The aim. To assess the relationship between the incidences of CAP in different seasons of the year with the location of educational institutions in the urban settlement.Materials and methods. A cross-sectional study of the spatial distribution and seasonal dynamics of CAP cases in 2015 in a Siberian city with a population of more than 600 thousand people was carried out. Using GIS, 787 cases of CAP were analyzed among children of preschool and school age and adults. For statistical processing, 111 analyzed territorial units (ATUs) with an area of 250 m2 each were allocated on the maps. The dynamics of morbidity was assessed by weeks and seasons of the year among different age groups.Results. There was a direct moderate correlation between the number of CAP cases registered during the year with the number of schools and preschool educational institutions in ATU (r = 0.59; p < 0.001). ATUs with the presence and absence of educational institutions differed in the number of epidemic foci of CAP among the total population in winter and spring. The maximum number of cases of CAP among children and adults was registered in the second half of winter (weeks 3–13), the minimum – in the summer months (weeks 25–34).Conclusions. GIS analysis confirms the more frequent registration of CAP diseases among the total population in urban areas with educational institutions. There was established a direct moderate correlation between the incidence of CAP in children and adults by weeks of the year. Statistically significant differences in the number of cases in areas with and without educational institutions were noted in seasons with a higher incidence (autumn and winter).

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Geographic information systems as a part of epidemiological surveillance for COVID-19 in urban areas

Cited by 3 publications

References 6 publications

Possibilities of Using Geoinformation Technologies in Epidemiological Surveillance of COVID-19 Infection at the Regional Level

Possibilities of Using Geoinformation Technologies in Epidemiological Surveillance of COVID-19 Infection at the Regional Level

Choosing Data Clustering Tools For GIS-Based Visualization Of Disease Incidence In The Population

Analysis of intra annual spatial dynamics of community-aсquired pneumonia incidence in the urban environment

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