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  • See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/281833374

    Feasibility Assessment of Using Geoinformatics Technology in Disaster Disease Surveillance in a Developing Country, Iran

    Article in PLoS Currents · May 2015

    DOI: 10.1371/currents.dis.cbb7c1d062d4ec0646c2d67319a312f2

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    5 authors, including:

    Some of the authors of this publication are also working on these related projects:

    Stress management in disasters based on holy Quran View project

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    Kourosh Holakouie Naieni

    Tehran University of Medical Sciences

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    Ali Ardalan

    Tehran University of Medical Sciences

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    Elham Ahmadnezhad

    33 PUBLICATIONS 73 CITATIONS

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    Leila Mohammadinia

    Tehran University of Medical Sciences

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  • 4/16/2015 Feasibility Assessment of Using Geoinformatics Technology in Disaster Disease Surveillance in a Developing Country, Iran – PLOS Currents Disasters

    http://currents.plos.org/disasters/article/feasibility­assessment­of­using­geoinformatics­technology­in­disaster­disease­surveillance­in­a­developing­country­… 1/13

    Feasibility Assessment of Using Geoinformatics Technology in Disaster Disease Surveillance in a Developing Country, Iran April 14, 2015 · Research article

    This article is either a revised version or has previous revisions Edition 1 ­ April 14, 2015

    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 self­administered questionnaire was developed based on technology acceptance model (TAM), and a semi­quantitative 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.

    Revisions

    Abstract

    Funding Statement

    Authors

    Md Omar Faruque Kourosh Ho

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