استعمال بعض أنواع متغيرات التدخل لدراسة تأثير اللقاح على عدد الوفيات بمرض كورونا بأستخدام نموذج تحليل التدخل

Authors

  • Hind Majeed Ali
  • P. Dr. Adi Taha Rahim

DOI:

https://doi.org/10.31272/jae.i142.1034

Abstract

Coronaviruses are a widespread family of viruses that may cause illness in humans and animals. Many of them are known to cause respiratory infections in humans and their symptoms are (fever, dry cough, muscle pain and aches, sore throat, diarrhoea, and loss of sense of taste or smell). Some symptoms are severe, such as difficulty or shortness of breath, chest pain, and inability to speak or move. (The research aims to use some intervention variables to determine the effect of vaccine doses on Corona disease. The data on which the study relied is a time series representing the weekly rates of numbers Deaths (3/4/2020) until (12/19/2022) weekly data were recorded through the daily bulletins announced by the Ministry of Health, and (146) views were obtained, which represent the number of deceased. It was concluded that the appropriate model to represent the number of deaths due to the Coronavirus is the model for the second variable. Also, the second intervention variable has a strong effect on the number of deaths. This means that the effect of the intervention for this variable begins two weeks after taking the vaccine and continues.

 

References

- الموسوي , جواد كاظم خضير ,(1986) ,"استخدام نماذج السلاسل الزمنية متعددة المتغيرات في التنبؤ بمبيعات أنتاج السكر في المنشأة العامة للسكر ", رساله ماجستير مقدمه الى مجلس كلية الادارة والاقتصاد ,جامعة بغداد

- المتولي , احمد شاكر , (1989) ," استخدام تحليل التدخل في السلاسل الزمنية وتطبيقاتها في البيانات البيئية –قياس درجه تلوث مياه نهر دجله ً , رساله ماجستير مقدمه الى مجلس كليه الادارة والاقتصاد جامعه صلاح الدين

- يوسف , الهام بويا , (1988) ,ٍ ً دراسة تأثير تطبيق قانون حزام الامان على الوفيات في حوادث المرور على طريق أربيل /بغداد مع استخدام أسلوب المحاكاة في التحليل ً، رسالة ماجستير مقدمة الى مجلس كلية الإدارة والاقتصاد – جامعة بغداد

- فاندال , والتر ,(1992) "السلاسل الزمنية في الوجهة التطبيقية ونماذج بوكس جنكنز"، كتاب مترجم . تعريب ومراجعة د. عبد المرضى حامد عزام ، د. أحمد حسين هارون ، دار المريخ للنشر , الرياض , المملكة العربية السعودية .

- رحيم ، عدي طه , التميمي ،رعد فاضل .، ( 2013) ، " مبادئ السلاسل الزمنية نماذج التخطيط الاستراتيجي " كليه الادارة والاقتصاد /الجامعة المستنصرية _مطبعة الكتاب – بغداد - العراق

- الركابي ، فاطمة عبد الرحمن ، (2013), " استخدام نماذج تحليل التدخل في السلسلة أنتاج النفط الخام في العراق " ، رسالة ماجستير مقدمة الى مجلس كليه الادارة والاقتصاد ، الجامعة المستنصرية

(7) Abraham, B. (1980)," Intervention analysis and Multiple time series Biometrika, vol.(67) ,No .(1),p.p.( 73 -78

(8) Biglan ,Ary D.,and Wagen, A. Ac. (2000), " The Vaiue of interrupted Time Series experimente for Community intervention research " ,

The society for prevention Research .Vol.,pp(31-39). Journal of

(9) Bonham,c., and Byron, G.,(1996) ., "Intervention analysis with cointegrated time series : the case of Hawaii hotel room tax", Applied Economics, Vol.28 , pp (1281-1293)

(10) Bo Sjo., (2012) ." Intervention Analysis How to use Dummy Variabies , seasonal effects ,why to use loge ,and avoid spurious do- trending". Exercis.2.

(11) BOX ,G.E.P. and Tiao , G.C., (1965) ." A change in Level of a non-Stationary Time series, ً Biometrika , Vol.52 , No .1 and 2 ,p.p.181-92.

(12) Box, G.E.P. and Tiao , G.C. (1975). "Intervention Analysis with Applications to Economics and Environmental problems". Journal of the American statistical Association, Vol .70 No. pp.70-80

(13) BOX, G.E.P.and Tiao , G.C.,(1976) . "Comporision of forcast and A ctuality " , Journal of the Royal stahistical sociely , ser .C,Vol .25 ,pp.125-200.

(14) Box ,G.E.P,Tiao ,G .C. and Hamming ,w.J.,(1975). " Analysis of los Angless photochemecal smog Data : Astatistical overview ", Journal of Airpolution control Association,

Vol .25, pp.260 -267.

(15) Box G.E.P.,Jenkins, G.M.& Reinsel,G. C.(1994),"Time series Analysis: Forecasting and control ", 3rd ed .New Jersey: prentice-Hall.

(16) Jennifer,C.H., Hsien- Hnny demand Hsiang hsilile .,(2010) ."Interventions affection air transport passenger clamant in Taiwan ",. African Journal of Business Management, vol.4 (10) pp. (2121-2131).

(17) Michael , L ., (1996) ,. " Promotional Analysis Forecasting for Demand planning A Practical time series Ap

(17) Michael , L ., (1996) ,. " Promotional Analysis Forecasting for Demand planning A Practical time series Approach ". SAS Institute lnc. Cary .NC.USA.

(18) Ming _Chang chem., Kee-Kuo chen and AIex chen –Man pan .(2003) , "Establishing An intervention Model to examine the impact of policy Guidance on Transportion Demand", Journal of the Eastern Asia Society for Transportation studies,Vol.5.No

(19) Michael J. Fogarty and Thomasj . Miller ,(2004), "Impact of achange in reporting systems in the Maryland blue crab fishery ",

(20) Mcleod, A,I. and vingilis, E.R., (2005) , " Power computations for intervention Analysis", Technometrics, Vol . 47,No. pp. (174-181)

(21) Muhammed , H. L. and Bahrom , sanugi (2010) , " Multi Input intervention Model for Evaluationg the Impact of the Asian Crisis and Terrorist attacks On Tourist Arrivals", Mathmatika, Vol. 26,No.1, p.p.(83-106).

(22) Markridaks ,S.S. and Wheel Wright, S.C,(1978) " Forecasting Methods and applications " New Yourk, John Wiley.

Moleod,G, (1983) ."Box Jenkins inpartice ",GJP,U.S.A.)Introduction to the Box – Jenkins Approach " , John Wiley and sons Now yourk.

(24)- ROY, R. and pellerin , J . (1982) "On Long Term Air quality Trends and Interention Analysis ", A tmospheric Environment , Vol . 16 NO.1, pp. 161 -169.

(25) SAIZ,Joaquim Diaz , (1985), " Time Series Analysis With Intervention: A Bayesian

Approach",

Submitted to the Faculty of the Graduate college of the oklahome stat University in partial fulfillment of the requirements for the degree of

doctor of philosohpy.

(26) Wei, W.S. (1991) .Time series Analysis – univariate and Multivariate Methods. New York :Addison –Wesley.

Published

2024-05-26