The usage of geographic information systems for operational epidemiological analysis of influenza incidence in the territory of Rostov-on-Don including mass events
https://doi.org/10.21886/2219-8075-2019-10-3-57-61
Abstract
Objective: the assessment of spatial distribution of influenza in the metropolis and creation of the geographic information system (hereinafter – GIS) « Influenza: Rostov-on-Don «, containing data on places of case registration.
Materials and methods: statistical data on influenza cases based on primary and final reports, PCR studies were used. Geocoding of addresses was performed using the servers Nominatum and the Satellite. For development of GIS we used free software QGIS version 3.2.2. As the cartographic basis OpenStreetMap community maps were used.
Results: construction of variograms («heat maps») revealed the formation of several risk areas («epidemiological spots»), the boundaries of which do not coincide with the boundaries of the administrative districts of the city.
Conclusions: the analysis showed that distribution of each of the subtypes of influenza A virus in the territory of Rostov-on-Don in the 2018-2019 season has specific features. We showed that in conditions of the megalopolis the spatial analysis which was carried out without taking into account the administrative boundaries provided more accurate results in comparison with traditional zoning.
About the Authors
S. S. Slis’
Department of the Federal Service for Supervision of Consumer Rights Protection and Human Welfare in the Rostov Region
Russian Federation
Russian Federation
Sergej S. Slis’ - Leading Researcher of the Department of Epidemiological surveillance of Head Office.
Rostov-on-DonE. V. Kovalev
Department of the Federal Service for Supervision of Consumer Rights Protection and Human Welfare in the Rostov Region
Russian Federation
Russian Federation
Evgenij V. Kovalev - the Chief of Surveillance.
Rostov-on-Don
S. A. Nenadskaya
Department of the Federal Service for Supervision of Consumer Rights Protection and Human Welfare in the Rostov Region
Russian Federation
Russian Federation
Svetlana A. Nenadskaya - head.
Rostov-on-Don
A. S. Vodop’yanov
Rostov-on-Don Anti-plague Institute of Rospotrebnadzor
Aleksej S. Vodop’yanov - Ph. D., Senior researcher – Head of Virology group.
Rostov-on-DonL. V. Lyalina
Pasteur Research Institute of Epidemiology and Microbiology
Lyudmila V. Lyalina - Doctor of Medical Sciences; Professor, Head of laboratory of epidemiology infectious and non-infectious diseases and the Department of training of highly qualified personnel.
Rostov-on-DonReferences
1. WHO Bulletin. 2012; 90. № 4. P. 245–320.
2. Baroyan O.V., Rvachev L.A., Ivannikov YU.G. Modelirovanie i prognozirovanie epidemij grippa dlya territorii SSSR – Moskva; 1977. – 546 s.
3. Ivannikov Yu.G., Ogarkov P.I. Opyt matematicheskogo komp'yuternogo prognozirovaniya epidemij grippa dlya bol'shih territorij // Zhurnal infektologii. – 2012. - T. 4, № 3. - S. 101-106.
4. Nakapan S., Tripathi N.K., Tipdecho T., Souris M. Spatial diffusion of influenza outbreak-related climate factors in Chiang Mai Province, Thailand // Int. J. Environ. Res. Public Health. 2012 Oct 24; 9(11):3824-42. doi: 10.3390/ijerph9113824.
5. Chen Y, Wen Y. Spatiotemporal Distributions and Dynamics of Human Infections with the A H7N9 Avian Influenza Virus // Comput. Math. Methods Med. 2019; 2019: 9248246. doi: 10.1155/2019/9248246. eCollection 2019.
6. Efremenko D.V., Kuznecova I.V., Orobej V.G. et al. Primenenie risk-orientirovannogo podhoda pri planirovanii i organizacii protivoepidemicheskogo obespecheniya massovyh meropriyatij // Analiz riska zdorov'yu. – 2017. – № 1. – S. 4–12. DOI: 10.21668/health.risk/2017.1.01.
7. Popova A.Yu., Kuz'kin B.P., Demina YU.V. et al/ Ispol'zovanie sovremennyh informacionnyh tekhnologij v praktike sanitarno-epidemiologicheskogo nadzora v period provedeniya XXII Olimpijskih zimnih igr i XI Paralimpijskih zimnih igr v g. Sochi // Zhurnal mikrobiologii, epidemiologii i immunologii. – 2015. - № 2. – S. 113-118.
Review
For citations:
Slis’ S.S., Kovalev E.V., Nenadskaya S.A., Vodop’yanov A.S., Lyalina L.V. The usage of geographic information systems for operational epidemiological analysis of influenza incidence in the territory of Rostov-on-Don including mass events. Medical Herald of the South of Russia. 2019;10(3):57-61. (In Russ.) https://doi.org/10.21886/2219-8075-2019-10-3-57-61
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