Using Multivariate Analysis to Study the Spread of Transitional Diseases in Iraq

Aseel Abdul Razzak Rasheed (1), Rawaa Salh Al-saffar (2), Husam A. Rasheed (3)
(1) Collage of administration and Economics / Statistics Department Mustansiriyah University, Iraq
(2) Collage of administration and Economics / Statistics Department Mustansiriyah University, Iraq
(3) Collage of administration and Economics / Statistics Department Mustansiriyah University, Iraq
Fulltext View | Download
How to cite (IJASEIT) :
Rasheed, Aseel Abdul Razzak, et al. “Using Multivariate Analysis to Study the Spread of Transitional Diseases in Iraq”. International Journal on Advanced Science, Engineering and Information Technology, vol. 10, no. 4, Aug. 2020, pp. 1543-7, doi:10.18517/ijaseit.10.4.12584.
Medical and technological development has achieved continuous successes during the last period. However, the statistics received from the World Health Organization (WHO) show the suffering that millions of people are subjected to daily as a result of their exposure to transitional diseases.  The most prevalent transitional disease in the Iraqi provinces and for all age groups for both genders is water pox disease, followed by cutaneous leishmaniosis and then mumps. The most affected governorate with transitional diseases is Baghdad Governorate (Rusafa Sector), followed by Dhi Qar Governorate and Baghdad (Al Karkh Sector). The most age-groups affected with transition diseases are the categories (5-9) years for males, followed by (5-9) years for females. The highest total contribution to the first axis was for cutaneous leishmaniasis, followed by mumps, then Basil dysentery, as for the absolute contribution in the first axis, it was Dhi Qar Governorate, followed by Baghdad. There are more than 14,000,000 people who die each year because of these diseases, and most infections are concentrated in developing countries, including Iraq. Hence, this research is vital to examine the extent of transitional diseases in Iraq for different age groups, both male and female gender. The use of the multivariate method, which is the correspondence analyses, it was found through the research that Baghdad (Rusafa Sector) has a high incidence of transitional diseases and the largest age group at risk of transitional diseases is (5-9) years form male gender.

Ní©stor Rivera, Juan Chica, Ivan Zambrano, and Cristian Garc´ıa. Estudio del comportamiento de un motor ciclo otto de inyeccion electronica respecto de la estequiometr´ıa de la mezcla y del adelanto al encendido para la ciudad de cuenca. Revista Polit´ecnica, 40(1):59-67, 2017.

L Hinke, L Pichler, HJ Pradlwarter, BR Mace, and TP Waters. Modelling of spa- tial variations in vibration analysis with application to an automotive windshield. Finite Elements in Analysis and Design, 47(1):55-62, 2011.

Yoshio Kurosawa, Hideki Enomoto, Shuji Matsumura, and Takao Yamaguchi. High frequency vibration analysis of automotive bodies with panels that have attached viscoelastic layers. In ASME 2003 International Mechanical Engineering Congress and Exposition, pages 23-29. American Society of Mechanical Engineers Digital Collection, 2003.

Seyed Hamed Mirafzal, Amir Mahyar Khorasani, and Amir Hossein Ghasemi. Op- timizing time delay feedback for active vibration control of a cantilever beam using a genetic algorithm. Journal of Vibration and Control, 22(19):4047-4061, 2016.

T Yamaguchi, Y Kurosawa, and H Enomoto. Damped vibration analysis using finite element method with approximated modal damping for automotive double walls with a porous material. Journal of Sound and Vibration, 325(1-2):436-450, 2009.

Sze-jung Wu, Nagi Gebraeel, Mark A Lawley, and Yuehwern Yih. A neural net- work integrated decision support system for condition-based optimal predictive maintenance policy. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, 37(2):226-236, 2007.

Zhiqiang Huo, Yu Zhang, Pierre Francq, Lei Shu, and Jianfeng Huang. Incipient fault diagnosis of roller bearing using optimized wavelet transform based multi- speed vibration signatures. IEEE Access, 5:19442-19456, 2017.

Sharaf, H. K., Ishak, M. R., Sapuan, S. M., Yidris, N., & Fattahi, A. (2020). Experimental and numerical investigation of the mechanical behavior of full-scale wooden cross arm in the transmission towers in terms of load-deflection test. Journal of Materials Research and Technology, 9(4), 7937-7946.”

Sharaf, H. K., Ishak, M. R., Sapuan, S. M., & Yidris, N. (2020). Conceptual design of the cross-arm for the application in the transmission towers by using TRIZ-morphological chart-ANP methods. Journal of Materials Research and Technology, 9(4), 9182-9188.”

Johari, A. N., Ishak, M. R., Leman, Z., Yusoff, M. Z. M., Asyraf, M. R. M., Ashraf, W., & Sharaf, H. K. (2019). Fabrication and cut-in speed enhancement of savonius vertical axis wind turbine (SVAWT) with hinged blade using fiberglass composites. In Proceedings of the Seminar Enau Kebangsaan (pp. 978-983).”

Asyraf, M. R. M., Ishak, M. R., Sapuan, S. M., Yidris, N., Johari, A. N., Ashraf, W., ... & Mazlan, R. (2019). Creep test rig for full-scale composite cr ossarm: simulation modelling and analysis. In Seminar Enau Kebangsaan (pp. 34-38).”

A. Environmentally, F. Tropical, and C. Hazard, “Journal of Advances in Modeling Earth Systems,” pp. 223-241, 2018.

L. Metz, N. Maheswaranathan, B. Cheung, and J. Sohl-Dickstein, “Learning Unsupervised Learning Rules,” 2018.

Indarto, “Penginderaan Jauh : Metode Analisis & Interpretasi Citra Satelit,” no. June, 2017.

A. Peytchev, A. Peytchev, and E. Peytcheva, “Reduction of Measurement Error due to Survey Length: Evaluation of the Split Questionnaire Design Approach,” Surv. Res. Methods, vol. 11, no. 4, pp. 361-368, 2017.

A. Zhang and Y. Xie, “Chaos theory-based data-mining technique for image endmember extraction: Laypunov index and correlation dimension (L and D),” IEEE Trans. Geosci. Remote Sens., vol. 52, no. 4, pp. 1935-1947, 2014.

Angus, M. (2003). Development centre studies the world economy historical statistics: historical statistics. OECD Publishing.”

Bland, J. M., & Altman, D. G. (2003). Applying the right statistics: analyses of measurement studies. Ultrasound in Obstetrics and Gynecology: The Official Journal of the International Society of Ultrasound in Obstetrics and Gynecology, 22(1), 85-93.”

Burton, A., Altman, D. G., Royston, P., & Holder, R. L. (2006). The design of simulation studies in medical statistics. Statistics in medicine, 25(24), 4279-4292.”

Critchley, L. A., & Critchley, J. A. (1999). A meta-analysis of studies using bias and precision statistics to compare cardiac output measurement techniques. Journal of clinical monitoring and computing, 15(2), 85-91.”

Peto, R., Darby, S., Deo, H., Silcocks, P., Whitley, E., & Doll, R. (2000). Smoking, smoking cessation, and lung cancer in the UK since 1950: combination of national statistics with two case-control studies. Bmj, 321(7257), 323-329.”

Authors who publish with this journal agree to the following terms:

    1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
    2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
    3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).