Rachel A. Smith|Victoria C Barclay|Jill L. Findeis
Investigating preferences for mosquito-control technologies in Mozambique with latent class analysis
Pennsylvania State University|Center for Disease Dynamics, Economics & Policy|Center for Disease Dynamics, Economics & Policy|Pennsylvania State University|Agricultural & Applied Economics Association|Pennsylvania State University
common practice seek opinions future endusers development innovations thus aim study investigate latent classes users mozambique based preferences mosquitocontrol technology attributes covariates classes well explore current technologies meet preferencessurveys administered five rural villages mozambique data analysed latent class analysisthis study showed users preferences malaria technologies varied people could categorized four latent classes based shared preferences largest class constituting almost half respondents would avoid mosquitocontrol technology cost heat odour potential make health issues worse ease keeping clean inadequate mosquito control three groups characterized attributes would make avoid technology groups labelled bites class byproducts class multipleconcerns class statistically significant covariates included literacy selfefficacy willingness try new technologies perceived seriousness malaria householdto become widely diffused best practices suggest endusers included product development ensure preferred attributes traits considered study demonstrates enduser preferences different one malaria control technology satisfy everyone