Open AccessINFANT POLIO IMMUNIZATION
Author(s) -
Muhammad Kashif Imran,
Jamal Abdul Nasir,
Syed Arif Ahmed Zaidi
Publication year - 2015
Publication title -
the professional medical journal/the professional medical journal
Language(s) - English
Resource type - Journals
eISSN - 2071-7733
pISSN - 1024-8919
DOI - 10.29309/tpmj/2015.22.04.1337
Subject(s) - autoregressive integrated moving average , medicine , poliomyelitis , mean absolute percentage error , statistics , routine immunization , immunization , pediatrics , time series , demography , mean squared error , mathematics , immunology , antigen , sociology
Poliomyelitis is a highly infectious disease but preventable by effective vaccines.Children under five year of age affected by this disease as a result a permanent paralysis.Objectives: To uncover the trend of infant polio immunization coverage through modeling isa significant concern to formulate an adequate vaccination strategies and program after theoutbreak of new cases of polio in a recent year in Pakistan. Design: The reported data ofmonthly infant polio immunization coverage to National Institute of Health, Islamabad, Pakistanfrom January 2008 to July 2013 for the present study has been taken from Pakistan bureau ofstatistics with total time series entities 67. National Institute of Health, Islamabad took the recordof per month number of doses administered ( 0-11 months )children by the registered healthcentre in pakistan. Period: January 2008 - July 2013. Setting: Pakistan bureau of statistics(Statistics House) Methods: A set of various short term time series forecasting models namelyBox-Jenkins, single moving average, double moving average, single parameter exponentialsmoothing, brown, Holts and winter models were carried out to expose the infant polioimmunization coverage trend. Results: Among the several forecasting models ARIMA modelsare chosen due to lower measure of forecast errors namely root mean square error (RMSE),mean absolute error (MAE) and mean absolute percentage error (MAPE). ARIMA (2,1,1), ARIMA(1,0,2), ARIMA (0,1,2) and ARIMA (2,1,1) models are established as an adequate models for theprediction of OPV-0, OPV-1, OPV-2 and OPV-3 respectively. Conclusions: With the exceptionof OPV-1 the infant polio immunization coverage is expected to rise in Pakistan.