Journal Article

·2017 OPEN ACCESS

Investigation of various epidemic diseases in some countries by mathematical models SI and SIS

Arzu Çilli YTU , Kıvanç Ergen

AIP conference proceedings

Abstract

In this study, efficiency of SI and SIS mathematical models were defined in the prediction of the number of infected people with malaria and Acquired Immune Deficiency Syndrome (AIDS) as infectious diseases. Afghanistan and Angola were selected for their geographical and economical features. Although the models do not predict exact numbers for each year, in a long term and in a normal conditions (unless there are external parameters such as natural disaster, war, emigration and terrorism) they can predict the trend for the diseases and can tell when to disappear. Therefore, updating data are of importance to achieve the powerful prediction.

Keywords

Emigration Malaria Natural disaster Computer science Econometrics Operations research Geography Medicine Mathematics Immunology Meteorology

Subject Areas

COVID-19 epidemiological studies ·Modeling and Simulation ·Physical Sciences
Viral Infections and Outbreaks Research ·Infectious Diseases ·Health Sciences

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