Dengue fever/dengue haemorrhagic (DF/DHF) fever is the most common vector-borne viral disease
of humans worldwide. Recent studies have demonstrated that a geographic information system
(GIS) can give promising results in the prediction of changes in the habitats of mosquito vectors
as they affect disease transmission. This study aimed to analyse dengue vector indices via a GIS
database, in three high-risk provinces in Thailand from 2009 to 2011, as well as to conduct a
pilot survey of the attitudes and behaviours of village inhabitants in relation to dengue prevention.
Vector indices were investigated in a total of 15 villages from five districts of three provinces, and
the prevention behaviours of the village inhabitants in relation to the disease were evaluated
through a questionnaire. It was found that dengue vector indices in one of the provinces (SriSa-Ket)
were significantly higher than in the other two provinces (P = 0.001, 0.001 and 0.001
respectively). The results showed no statistically significant differences between the dengue indices
(House Index, Container Index and Breteau Index) and epidemic periods (P = 0.060, 0.062 and
0.443 respectively). There were no significant differences between the mean scores and either the
study periods or provinces (P = 0.672 and 0.358 respectively) regarding dengue perception and
prevention behaviours. The overall incidence of the disease increased during 2009–2011 in these
high-risk areas. Improvement of surveillance and control strategies needs to be accompanied by
improvements in villagers’ incomes, education and awareness.