Md Omar Faruque, Kourosh Holakouie Naieni, Ali Ardalan, Elham Ahmadnezhad, Leila Mohammadinia
BACKGROUND AND PURPOSE: Geoinformatics technology retains an unprecedented trait of performing with a supersonic speed and precision in public health management whereas the existing disease surveillance systems in developing countries lack using this technology. This article aims to assess the feasibility of using geoinformatics technology in disaster disease surveillance in a developing country, Iran.
METHODS: A self-administered questionnaire was developed based on technology acceptance model (TAM), and a semi-quantitative survey was conducted in order to collect data. Fifty TUMS & HS personnel, currently involve in disease surveillance and information technology, were included. Initially, a pilot study was conducted to test the validity and reliability of the questionnaire. Cronbach alpha, confirmatory factor analysis (CFA), and standard error of measurement (SEM) were calculated to validate the causal model.
RESULTS: The results from structural equation analysis suggested that TAM provided a constructive picture of using geoinformatics technology in disaster disease surveillance at TUMS &HS. The study found attitude (ATT) had a significant influence on participants intention to use (ITU) a new technology, and perceived ease of use (PEOU) was a strong determinant of perceived of usefulness (PU). Subsequently, PU and PEOU explained ATT substantially; even though the analysis showed insignificant statistical association among these constructs. The high R2 (Coefficient of determination) of the constructs described respondents positive instinct towards accepting a new technology.
CONCLUSION: The study reveals that personnel intent to adopt geoinformatics technology in disaster disease surveillance; and at the same time, they possess a positive attitude towards the technology. This study also found PEOU has a strong influence on PU, so information sessions and training on geoinformatics technology need to focus primarily on the applications and impacts of technology on disaster disease surveillance.
