scholarly journals Creation of a Forecasting Information System in Epidemiology based on Mathematical Modeling

Webology ◽  
2021 ◽  
Vol 18 (2) ◽  
pp. 388-412
Author(s):  
Aliya Takuadina ◽  
Aliya Kintonova ◽  
Nurlan Tabriz ◽  
Anna Knaus ◽  
Natalya Demidchik
Keyword(s):  
Mathematical Modeling ◽  
Mathematical Model ◽  
Information System ◽  
Data Processing ◽  
Mathematical Analysis ◽  
Main Part ◽  
Mathematical Methods ◽  
Factors Affecting ◽  
Statistical Program ◽  
Spread Of Infection

The article is devoted to the problem of using mathematical methods for forecasting the tuberculosis epidemic in Kazakhstan using the example of the Karaganda region. The introduction of the article reflects the problem of forecasting tuberculosis in Kazakhstan. The main part of the article reflects the results of the analysis of mathematical methods for forecasting and data processing technology, describes the mathematical analysis of epidemiological indicators made with the SPSS statistical program, describes the factors affecting the incidence among contact persons, and calculates the correlation coefficient. The article shows the importance of mathematical modeling and the importance of developing a specific mathematical model that describes the spread of infection among the population.

Developing Students’ Comprehensive Abilities through Mathematical Modeling Teaching

2011 ◽  
Vol 109 ◽  
pp. 608-611
Author(s):  
Jun Er Ma ◽  
Dong Ming Li ◽  
Dong Bi Zhu
Keyword(s):  
Mathematical Modeling ◽  
Mathematical Model ◽  
Data Processing ◽  
Processing Capacity

The paper aims at improving students’ comprehensive qualities through mathematical model teaching and practice. The students can acquire better innovative and data-processing capacity. This paper clearly states that in mathematical model teaching, theory should be combined with practice to stimulate students’ thirst for knowledge, and proper cases should be chosen according to different majors, thus improving student’s application ability of mathematics and computers.

scholarly journals METHODOLOGY OF DEVELOPMENT OF MATHEMATICAL MODELS OF INFORMATION PROCESSING SYSTEMS

2021 ◽  
Keyword(s):  
Mathematical Modeling ◽  
Mathematical Model ◽  
Information System ◽  
Information Processing ◽  
Mathematical Models ◽  
System Approach ◽  
Research Method ◽  
Literary Sources ◽  
History Of ◽  
The Mathematical Model

Modeling as a research method is a powerful cognitive tool throughout the history of human development. The article describes the methodology for the development of mathematical models of information systems, based on materials from various literary sources, author's developments on the system approach, mathematical modeling and programming. The mathematical model of the information system is described and all the characteristics of the IS are given.

Mathematical Modeling of Uniform and Nonuniform Malignian and Normal Tissues Irradiation. Mathematical Analysis of the Tumour Grid Irradiation

2021 ◽  
Vol 91 (3) ◽  
pp. 27-32
Author(s):  
L. Ya. Klepper
Keyword(s):  
Mathematical Modeling ◽  
Mathematical Model ◽  
Mathematical Analysis ◽  
Normal Tissue ◽  
Irradiation Dose ◽  
Equivalent Uniform Dose ◽  
Normal Tissues ◽  
Adequate Dose ◽  
Dose Volume ◽  
Significant Interest

Purpose: On base created mathematical model (MM) modified Veybull distribution, intended for NTCP calculation, depending on irradiated volume V and uniform irradiation dose D, to develop the MM, which allows to realize transition from nonuniform dose in tissue to the equivalent, uniform identical dose. To research the hypothesis, under what condition lumpy sharing dose in system tumors+normal tissues will be more efficient, than uniform dose. Material and Methods: Lumpy sharing dose are described as a differential histogram dose-volume (DDVH). The MM for calculation transition lumpy distribution of the absence of the beam complication probability (ACPr) in tissue is designed. It was used for MM conclusion, which allows to calculate transition values of the Adequate Dose (AD) of the uniform irradiation tissues, which use brings about ACPr in tissues. Results: On base of the suggestions and proved affirmation MMs are received, which allow for lumpy distribution of local NTCP values, presented as a DHDV, to calculate transition values ACPr, as well as select from it MM for reduction of the lumpy sharing dose. On base created MM question was explored, in what case tumors and normal tissue through a grid irradiation will be more effective than uniform irradiation. Conclusion: The transition from lumpy sharing doses in tissues to equivalent uniform dose present the significant interest for the RT planning efficiency. Their study is necessary, where the radiation of biosubjects is influenced.

OPTIMIZATION OF HERD MOVEMENT AND COMPOSITION IN LIVESTOCK THROUGH ECONOMIC-MATHEMATICAL METHODS

2021 ◽  
Vol 10 (4) ◽  
pp. 2235-2244
Author(s):  
Z.K. Kusharov ◽  
T.T. Turgunov ◽  
A.M. Turgunov
Keyword(s):  
Mathematical Modeling ◽  
Mathematical Model ◽  
Mathematical Method ◽  
Initial Data ◽  
Milk Production ◽  
Animal Husbandry ◽  
Meat Production ◽  
Age Group ◽  
Mathematical Methods ◽  
Standard Program

The article deals with the issues of increasing meat and milk production in livestock as a result of economic-mathematical modeling and optimization of mathematical methods to determine the movement and composition of cattle on farms specializing in animal husbandry. In addition, a numerical economic-mathematical model of the problem was developed on the basis of the initial data of a specific diversified farm, solved on a computer using a standard program using a mathematical method, and as a result of solving the problem of optimizing the movement and composition of livestock for each age group. or sold, transferred from one group to another, the number of head of cattle at the end of the year, as well as the indicators of maximum milk and meat production were determined and thoroughly analyzed in economics.

scholarly journals Estimation of COVID-19 cases in Brazil: mathematical modeling study

2021 ◽  
Vol 14 (2) ◽  
pp. 70
Author(s):  
L. Y. Sheng ◽  
A. L. Sartori
Keyword(s):  
Mathematical Modeling ◽  
Mathematical Model ◽  
Prevention And Control ◽  
Epidemiological Surveillance ◽  
Correction Factors ◽  
Mathematical Equation ◽  
Short Term ◽  
Good Adherence ◽  
Spread Of Infection ◽  
And Control

The objective was to describe a mathematical model to estimate cases by COVID-19 in Brazil in the short term and to identify the existence of forces to inhibit the spread of SARS-CoV2. Cases confirmed by COVID-19 in Brazil from March 16 to May 31, 2020 were used to develop a mathematical equation for estimating COVID-19 cases for up to 13 future days. Correction factors were calculated to identify whether there was an inhibition of the spread of infection in the country. The relative error and Pearson's correlation were analyzed to determine the model's performance. Six models were developed (gross, S1, S2, S3, S4 and corrected). The corrected model showed good adherence to the number of estimated and observed cases. Eight correction factors were calculated, which increased during the study period. The increase in correction factors expressed the loss of the inhibition force of interventions implemented in the country for the prevention and control of infection. The proposed mathematical model proved to be viable and feasible for implementation in epidemiological surveillance services.

The Karolinska Hospital Information System

1974 ◽  
Vol 13 (03) ◽  
pp. 125-140 ◽  
Author(s):  
Ch. Mellner ◽  
H. Selajstder ◽  
J. Wolodakski
Keyword(s):  
Information System ◽  
Data Processing ◽  
Data Base ◽  
Hospital Information System ◽  
Care Delivery ◽  
Traditional Approach ◽  
Processing System ◽  
Systems Design ◽  
Data Processing System ◽  
Karolinska Hospital

The paper gives a report on the Karolinska Hospital Information System in three parts.In part I, the information problems in health care delivery are discussed and the approach to systems design at the Karolinska Hospital is reported, contrasted, with the traditional approach.In part II, the data base and the data processing system, named T1—J 5, are described.In part III, the applications of the data base and the data processing system are illustrated by a broad description of the contents and rise of the patient data base at the Karolinska Hospital.

Application of the method of mathematical modeling for forecasting channel deformations at the underwater crossing of the main pipeline

2020 ◽  
Vol 10 (6) ◽  
pp. 599-609
Author(s):  
Valery А. Gruzdev ◽  
◽  
Georgy V. Mosolov ◽  
Ekaterina A. Sabayda ◽  
◽  
...  
Keyword(s):  
Mathematical Modeling ◽  
Mathematical Model ◽  
Roughness Coefficient ◽  
Computational Domain ◽  
Channel Deformations ◽  
Geological Surveys ◽  
Kuban River ◽  
The Stability ◽  
Protective Structures

In order to determine the possibility of using the method of mathematical modeling for making long-term forecasts of channel deformations of trunk line underwater crossing (TLUC) through water obstacles, a methodology for performing and analyzing the results of mathematical modeling of channel deformations in the TLUC zone across the Kuban River is considered. Within the framework of the work, the following tasks were solved: 1) the format and composition of the initial data necessary for mathematical modeling were determined; 2) the procedure for assigning the boundaries of the computational domain of the model was considered, the computational domain was broken down into the computational grid, the zoning of the computational domain was performed by the value of the roughness coefficient; 3) the analysis of the results of modeling the water flow was carried out without taking the bottom deformations into account, as well as modeling the bottom deformations, the specifics of the verification and calibration calculations were determined to build a reliable mathematical model; 4) considered the possibility of using the method of mathematical modeling to check the stability of the bottom in the area of TLUC in the presence of man-made dumping or protective structure. It has been established that modeling the flow hydraulics and structure of currents, making short-term forecasts of local high-altitude reshaping of the bottom, determining the tendencies of erosion and accumulation of sediments upstream and downstream of protective structures are applicable for predicting channel deformations in the zone of the TLUC. In all these cases, it is mandatory to have materials from engineering-hydro-meteorological and engineering-geological surveys in an amount sufficient to compile a reliable mathematical model.

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