Abstract:

This research is a study of how census can be automated using hand held mobile devices. This automation may reduce on the possible and actual errors in the final processed information.

According to Shao, D. (‎2012) “The growing use of mobile technologies has increased pressure on the demand for mobile-based data collection solutions to bridge the information gaps for researchers” [1]. The law and technology favor an increased use of Information Technology platforms for data communications. Recently more bandwidth has become more available and cheaper and data transmission speed are faster with the launch of technologies such as 4.5G by Zamtel.

The objective of this study is to develop and implement a Cloud Computing Based Mobile Census of Population and Housing System using cloud computing technology and Geographic Information that addresses the current traditional way of Census Data Collection System. We will explain cloud computing can address problems related to efficiency and quality of statistical information for decision making. Secondly, we discuss the challenges that are anticipated in the implementation of Mobile Census of Population and Housing System. Thirdly we will discuss some of the areas of improvement expected in the implementation process of the Mobile Census of Population and Housing System for the Central Statistical Office. Fourthly we discuss the suitable technologies are available to support the development of the system. Finally, we will focus on the strategic advantages of developing a Cloud Computing Based Mobile Census of Population and Housing System and its security.

Keywords: Data Collection, Enumerator, Cloud Computing technologies, Zamtel, Census and CAPI.

References:

[1].     Davis, G.B. and Olson, M.H. (1985) Management Information Systems, Conceptual Foundations, Structure and Development, New York, McGraw Hill.

[2].     Martinuzzi S, et al. (2007), Land development, land use, and urban sprawl in Puerto Rico integrating remote sensing and population census data, Landscape and Urban Planning, Landscape and Urban Planning Volume 79, Issues 3 - 4, Pages 288-297.

[3].     Shao, D. (‎2012), https://muep.mau.se/bitstream/handle/2043/13936/Deo_Shao_Thesis.pdf.

[4].     Toby J. Velte, Ph.D., Robert Elsenpeter, (2010), New York, Cloud Computing: A Practical Approach McGraw-Hill Companies.

[5].     United Nation, (1958). This process may be automated or manual. In today’s world, Information Principles and Recommendations for Population and Housing Censuses, Revision 2.

[6].     Weibel D, et al., (2008), Demographic and health surveillance of mobile pastoralists in Chad: integration of biometric fingerprint identification into a geographical information system, Geospatial Health Vol.3, Issue 1, pp. 113 124.

[7].     Weibel D, et al., (2008), Demographic and health surveillance of mobile pastoralists in Chad: integration of biometric fingerprint identification into a geographical information system, Geospatial Health Vol.3, Issue 1, pp. 113 124.

[8].     Yaluma (2013) Zambia Telecommunications Company (Zamtel)

http://www.lusakavoice.com/2013/02/28/zamtel-to-provide-high-speed-3g-4g-internet-at-unwto/