A framework of requirements for improving digitalization of human population dynamics tracking in Tanzania
Juvenalis Mwombeki, Patrick Kihoza, Morice Daudi · Science Mundi · 2025
Tracking of human population dynamics in Tanzania is still elusive and hard to support the decision makers in making informed decision. Accurate and on time information on human population dynamics would result into effective resources planning and allocation, public services planning and allocation, environmental impact assessment and social economic development. Ineffective population dynamics tracking has been due to lack of unified requirements for tracking human population dynamics. This study establishes he unified requirements framework for digitalizing the tracking of human population dynamics in Tanzania. This study was done in Dodoma Region in Dodoma LGA and Mpwapwa LGA using a cross sectional study design. Both qualitative and quantitative methods of data collection and analysis were engaged. The total of 187 respondents was involved in this study. For qualitative methods key informants’ interviews and document/system reviews were used, while structured questionnaires were carried out for quantitative methods. Sampling of respondents was done using stratified random sampling. The research results show 51.1% male and 48.9% female participants; dominant education of respondents was bachelor degree who were 26.8%. The dominant age of respondents was between 30–40 years (44.4%). The objective of study is designing the requirements for population tracking by testing 20 hypotheses derived from five key information domains: birth, death, immigration, emigration, and total population dynamics. Structural Equation Modeling (SEM) yielded strong model fit indicators (CFI = 0.971, RMSEA = 0.038), with 18 of the 20 hypotheses accepted, validating the majority of requirement constructs. According to this study, the tracking of population dynamics in Tanzania is greatly influenced by requirements from birth, immigration, mortality, emigration, and overall real-time population dynamics data. The Framework shown in Table 6 provides a detailed description of the particular needs from each area. The results of this research help policymakers to put in place information and communication technology policies to explicitly state the adoption and deployment of digital systems as an innovative way for tracking human population dynamics by utilizing the framework of requirements established in this study. For successful, efficient, and long-lasting tracking of human population dynamics, the stakeholders should especially adopt and put into practice the requirements framework, which captures many perspectives of human population dynamics.