Please use this identifier to cite or link to this item: http://essuir.sumdu.edu.ua/handle/123456789/55765
Or use following links to share this resource in social networks: Recommend this item
Title Moving average method in epidemic process forecasting
Authors Piletskiy, P.E.
Chumachenko, D.I.
ORCID
Keywords moving average methods
forecasting
epidemic process
ixodes tick borreliosis
прогнозування
прогнозирование
епідемічний процес
эпидемический процесс
Type Conference Papers
Date of Issue 2017
URI http://essuir.sumdu.edu.ua/handle/123456789/55765
Publisher Sumy State University
License
Citation Piletskiy P.E. Moving average method in epidemic process forecasting [Текст] / P.E. Piletskiy, D.I. Chumachenko // Advanced Information Systems and Technologies : proceedings of the V international scientific conference, Sumy, May 17-19 2017/ Edited by S.І. Protsenko, V.V. Shendryk. - Sumy : Sumy State University, 2017. - P. 12-14.
Abstract In this study, the application of the moving average method to the forecasting of the epidemic process is considered. As an example, the method is used to predict the incidence of ixodes tick borreliosis. To automate the calculation of the forecast, a software package was developed. The accuracy of the results was verified on real statistical data on morbidity in the Kharkiv region.
Appears in Collections: Наукові видання (ЕлІТ)

Views

China China
45727876
France France
2
Germany Germany
2658420
Greece Greece
1
Ireland Ireland
236217
Kazakhstan Kazakhstan
26742
Lithuania Lithuania
1
Poland Poland
1
Russia Russia
1
Sweden Sweden
1
Ukraine Ukraine
12643587
United Kingdom United Kingdom
4844412
United States United States
25286144
Unknown Country Unknown Country
29
Vietnam Vietnam
26745

Downloads

China China
2658420
Germany Germany
1
India India
1
Kazakhstan Kazakhstan
1
Lithuania Lithuania
1
Ukraine Ukraine
25286144
United Kingdom United Kingdom
1
United States United States
12643587
Unknown Country Unknown Country
11
Vietnam Vietnam
1

Files

File Size Format Downloads
Piletskiy_moving.pdf 846,66 kB Adobe PDF 40588168

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.