INFORMATION CHANGE THE WORLD

International Journal of Wireless and Microwave Technologies(IJWMT)

ISSN: 2076-1449 (Print), ISSN: 2076-9539 (Online)

Published By: MECS Press

IJWMT Vol.5, No.6, Nov. 2015

An Extended Research on the Blood Donor Community as a Mobile Application

Full Text (PDF, 264KB), PP.26-34


Views:69   Downloads:2

Author(s)

A Bhowmik, N A Nabila, M A Imran, M A U Rahman, D Karmaker

Index Terms

Blood Donor Apps;Donor Information;Supply Chain Network;Blood Bank;Search Engine using Blood Group;location

Abstract

In the developing and the least developed countries, the number of blood banks are limited and it is hard to find a blood donor with exact blood group in a crucial moment. Patients have to suffer a lot and in some cases, death is inevitable. Emergency situations like- accidents, ongoing treatments and elective surgeries create critical and immediate need for specific group of blood. In this regards, a little attention has been given on the easier availability of blood from nearest locations. In this paper, we propose a mobile phone application by which anyone will be able to look for their desired blood group at the nearest location. A large number of people is currently using smartphones running on different operating systems. The application will be developed in different platforms e.g. Android, Windows Phone or iOS, where only registered person, with willingness to donate blood will be able to access the service.

Cite This Paper

A Bhowmik, N A Nabila, M A Imran, M A U Rahman, D Karmaker,"An Extended Research on the Blood Donor Community as a Mobile Application", IJWMT, vol.5, no.6, pp.26-34, 2015.DOI: 10.5815/ijwmt.2015.06.04

Reference

[1]Van der Geer J, Hanraads JAJ, Lupton RA. The art of writing a scientific article. J Sci Commun 2000; 163:51-9.

[2]Strunk Jr W, White EB. The elements of style. 3rd ed. New York: Macmillan; 1979.

[3]T Hilda Jenipha, R Backiyalakshmi. Android Blood Donor Life Saving Application in Cloud Computing. American Journal of Engineering Research (AJER) 2014; 3:2-105.

[4]Munshi M Habibullah, Hazera Khatun, Ayesha Khatun, Fareha Jesmin Rabbi. Seroprevalance of anti-HCV among voluntary blood donors. Bangladesh J Med 2009; 3:1-37.

[5]Yearly Blood & Cornea Collection. Web: http://www.sandhani.org/about-us/yearly-blood-cornea-collection/; July 2015.

[6]Saberton, PJ, Paez, A, Newbold, KB, and Heddle, NM. Geographical Variations in the Correlates of Blood Donor Turnout Rates: An Investigation of Canadian Metropolitan Areas. International Journal of Health Geographics 2009, 8:56.

[7]Cheng, Eddie, Chi Wai Chan, and Michael Chau. Data Analysis for Healthcare: A Case Study in Blood Donation Center Analysis. Americas Conference on Information Systems (AMICS) 2010.

[8]Bing Nan Li, Ming Chui Dong and Sam Chao. On decision making support in blood bank information systems. Expert Systems with Applications 2009; 34:2-1522.

[9]The Armed Services Blood Program (ASBP). Web: http://www.militaryblood.dod.mil/About/default.aspx, December 2014.

[10]André Smith, Ralph Matthews, Jay Fiddler. Blood Donation and Community: Exploring the Influence of Social Capital. International Journal of Social Inquiry 2011; 4:1-45.

[11]Muhammad Sajidur Rahman, Khondoker Asif Akter. Smart Blood Query: A Novel Mobile Phone Based Privacy-aware Blood Donor Recruitment and Management System for Developing Regions. Department of Computer Science & Engineering Bangladesh University of Engineering & Technology (BUET).

[12]P Priya, V Saranya, S Shabana, K Subramani. The Optimization of Blood Donor Information and Management System by Technopedia. International Journal of Innovative Research in Science, Engineering and Technology 2014; 3:1-390.

[13]Priyanka Shinde, Pranita Taware. Emergency Panic Button. International Journal of Scientific & Engineering Research 2012; 3:3.

[14]Nader Moayeri, Jalal Mapar, Stefanie Tompkins, Kaveh Pahlavan. Emerging opportunities for localization and tracking. IEEE Wireless Communications 2011.

[15]Catassi, CA, Petersen, EL. The Blood Inventory Control System-Helping Blood Bank Management through Computerized Inventory Control. Transfusion 2009; 7:1-60.

[16]Arvind Sharma, PC Gupta. Predicting the Number of Blood Donors through their Age and Blood Group by using Data Mining Tool. International Journal of Communication and Computer Technologies 2012; 1:6-6.

[17]Ahmed, N, Hasan, K, Jubayer, M. mHealth: Blood donation service in Bangladesh. International Conference on Informatics, Electronics & Vision (ICIEV) 2013.

[18]Rayhana Sultana, Zaida Rahman, Asadul Mazid Helali, Rabeya Yousuf, Shyamoli Mustafa, Abdus Salam, Mainul Haque. Study of ABO and RH-D Blood groups among the common people of capital city of Bangladesh. International Journal of Pharmacy and Pharmaceutical Sciences 2013; 5:3-814.

[19]Consumers Insight of Smart Phone in Bangladesh (CISPB), Web: http://www.termpaperwarehouse.com/essay-on/Consumers-Insight-Of-Smart-Phone-In/149977; May 2015.