Using analysis of time series to forecast the number of patients with tuberculosis: a case study in Khartoum state from 2007 to 2016

 
 
 
  • Abstract
  • Keywords
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  • Abstract


    This paper used time series analysis to predict the number of tuberculosis (TB) patients in Khartoum state. It is based on data obtained from TB patients the period from 2007 to 2016. The study was able to determine the best model of order (2) ARIMA (2, 1, 0) for data. The most important result of the study is to estimate the number of patients with TB the next four years in quartile basis. So, the forecasting value represented the source time series data and was observed to decrease.


  • Keywords


    Time Series; Tuberculosis; Estimation; Model; Forecasting.

  • References


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Article ID: 8751
 
DOI: 10.14419/ijasp.v6i1.8751




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