Factors Influencing Stakeholders Attitudes Toward Genetically Modified Aedes Mosquito

TitleFactors Influencing Stakeholders Attitudes Toward Genetically Modified Aedes Mosquito
Publication TypeJournal Article
Year of Publication2015
AuthorsAmin, L, Hashim, H
JournalScience & Engineering Ethics
Date Published2015
Publication Languageeng
ISBN Number13533452
KeywordsAedes , Attitudes , Dengue , factors , Genetic , GM , MALAYSIA , STAKEHOLDERS , Structural
AbstractDengue fever is a debilitating and infectious disease that could be life-threatening. It is caused by the dengue virus which affects millions of people in the tropical area. Currently, there is no cure for the disease as there is no vaccine available. Thus, prevention of the vector population using conventional methods is by far the main strategy but has been found ineffective. A genetically modified (GM) mosquito is among the favoured alternatives to curb dengue fever in Malaysia. Past studies have shown that development and diffusion of gene technology products depends heavily upon public acceptance. The purpose of this study is to identify the relevant factors influencing stakeholders' attitudes toward the GM Aedes mosquito and to analyse the relationships between all the factors using the structural equation model.
NotesAmin, Latifah 1; Email Address: nilam@ukm.edu.my Hashim, Hasrizul 2; Email Address: ejoy86@gmail.com; Affiliation: 1: Centre for General Studies, Universiti Kebangsaan Malaysia, 43600 UKM Bangi Malaysia 2: The Institute for Environment and Development (LESTARI), Universiti Kebangsaan Malaysia, 43600 UKM Bangi Malaysia; Source Info: Jun2015, Vol. 21 Issue 3, p655; Subject Term: STAKEHOLDERS; Subject Term: AEDES; Subject Term: GENETIC engineering; Subject Term: DENGUE; Subject Term: DENGUE viruses; Subject Term: STRUCTURAL equation modeling; Subject Term: ATTITUDES; Subject Term: MALAYSIA; Author-Supplied Keyword: Attitudes; Author-Supplied Keyword: Factors influencing; Author-Supplied Keyword: GM Mosquito; Author-Supplied Keyword: Malaysia; Author-Supplied Keyword: Structural equation modelling; Number of Pages: 27p; Document Type: Article