A predictive model for the population growth of refugees in Asia: a multiple linear regression approach

Recent data provided by UNHCR indicated that 85% of the world’s displaced people are hosted in developing countries, while Asia and the Pacific are homes to about 3.5 million refugees. These hosting countries are often not well equipped with the resources needed to accommodate for the huge surplus i...

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Main Authors:	Sulaiman, Suriani, Ali, Umar Ibn, Hossen, Md Shaikot
Format:	Article
Language:	English English
Published:	American Scientific Publishers 2019
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/73807/ http://irep.iium.edu.my/73807/ http://irep.iium.edu.my/73807/ http://irep.iium.edu.my/73807/1/73807_A%20Predictive%20Model%20for%20the%20Population_article.pdf http://irep.iium.edu.my/73807/2/73807_A%20Predictive%20Model%20for%20the%20Population_scopus.pdf

id	iium-73807
recordtype	eprints
spelling	iium-738072020-02-17T08:09:57Z http://irep.iium.edu.my/73807/ A predictive model for the population growth of refugees in Asia: a multiple linear regression approach Sulaiman, Suriani Ali, Umar Ibn Hossen, Md Shaikot T Technology (General) Recent data provided by UNHCR indicated that 85% of the world’s displaced people are hosted in developing countries, while Asia and the Pacific are homes to about 3.5 million refugees. These hosting countries are often not well equipped with the resources needed to accommodate for the huge surplus in the number of refugees. The ability to predict the population growth of refugees thus enables refugee-hosting countries and NGOs to prepare for refugee migration beforehand, resulting in better infrastructure and opportunities for the refugees expected to enter a country. Advanced analytics could assist experts to chart where refugees are likely to head next, study the signs of future influx, prepare for reroute plans and raise crisis funds. In this paper, we present a regression model that predicts the anticipated number of refugee population in 20 Asian refugee-hosting countries. Using time-series analysis, we establish the pattern of refugee growth for Asian countries with a history of an average population of 2,000 refugees within the last 25 years as well as the last decade. Our model considers several input factors affecting the refugee population growth and predicts the number of refugees between 2017 to 2022 with promising results. American Scientific Publishers 2019-03 Article PeerReviewed application/pdf en http://irep.iium.edu.my/73807/1/73807_A%20Predictive%20Model%20for%20the%20Population_article.pdf application/pdf en http://irep.iium.edu.my/73807/2/73807_A%20Predictive%20Model%20for%20the%20Population_scopus.pdf Sulaiman, Suriani and Ali, Umar Ibn and Hossen, Md Shaikot (2019) A predictive model for the population growth of refugees in Asia: a multiple linear regression approach. Journal of Computational and Theoretical Nanoscience, 16 (3). pp. 1196-1202. ISSN 1546-1955 E-ISSN 1546-1963 https://www.ingentaconnect.com/content/asp/jctn/2019/00000016/00000003/art00060;jsessionid=17bv970bg03b1.x-ic-live-01 10.1166/jctn.2019.8016
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	T Technology (General)
spellingShingle	T Technology (General) Sulaiman, Suriani Ali, Umar Ibn Hossen, Md Shaikot A predictive model for the population growth of refugees in Asia: a multiple linear regression approach
description	Recent data provided by UNHCR indicated that 85% of the world’s displaced people are hosted in developing countries, while Asia and the Pacific are homes to about 3.5 million refugees. These hosting countries are often not well equipped with the resources needed to accommodate for the huge surplus in the number of refugees. The ability to predict the population growth of refugees thus enables refugee-hosting countries and NGOs to prepare for refugee migration beforehand, resulting in better infrastructure and opportunities for the refugees expected to enter a country. Advanced analytics could assist experts to chart where refugees are likely to head next, study the signs of future influx, prepare for reroute plans and raise crisis funds. In this paper, we present a regression model that predicts the anticipated number of refugee population in 20 Asian refugee-hosting countries. Using time-series analysis, we establish the pattern of refugee growth for Asian countries with a history of an average population of 2,000 refugees within the last 25 years as well as the last decade. Our model considers several input factors affecting the refugee population growth and predicts the number of refugees between 2017 to 2022 with promising results.
format	Article
author	Sulaiman, Suriani Ali, Umar Ibn Hossen, Md Shaikot
author_facet	Sulaiman, Suriani Ali, Umar Ibn Hossen, Md Shaikot
author_sort	Sulaiman, Suriani
title	A predictive model for the population growth of refugees in Asia: a multiple linear regression approach
title_short	A predictive model for the population growth of refugees in Asia: a multiple linear regression approach
title_full	A predictive model for the population growth of refugees in Asia: a multiple linear regression approach
title_fullStr	A predictive model for the population growth of refugees in Asia: a multiple linear regression approach
title_full_unstemmed	A predictive model for the population growth of refugees in Asia: a multiple linear regression approach
title_sort	predictive model for the population growth of refugees in asia: a multiple linear regression approach
publisher	American Scientific Publishers
publishDate	2019
url	http://irep.iium.edu.my/73807/ http://irep.iium.edu.my/73807/ http://irep.iium.edu.my/73807/ http://irep.iium.edu.my/73807/1/73807_A%20Predictive%20Model%20for%20the%20Population_article.pdf http://irep.iium.edu.my/73807/2/73807_A%20Predictive%20Model%20for%20the%20Population_scopus.pdf
first_indexed	2023-09-18T21:44:40Z
last_indexed	2023-09-18T21:44:40Z
_version_	1777413369810124800

A predictive model for the population growth of refugees in Asia: a multiple linear regression approach

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