Understanding the transmission dynamics of infectious diseases is important to allow
for improvements of control measures. To investigate the spatiotemporal pattern of an
epidemic dengue occurred at a medium-sized city in the Northeast Region of Brazil in
2009, we conducted an ecological study of the notified dengue cases georeferenced
according to epidemiological week (EW) and home address. Kernel density estimation
and space-time interaction were analysed using the Knox method. The evolution of the
epidemic was analysed using an animated projection technique. The dengue incidence
was 6.918.7/100,000 inhabitants; the peak of the epidemic occurred from 8 February-1
March, EWs 6-9 (828.7/100,000 inhabitants). There were cases throughout the city and
was identified space-time interaction. Three epicenters were responsible for
spreading the disease in an expansion and relocation diffusion pattern. If the health
services could detect in real time the epicenters and apply nimbly control measures,
may possibly reduce the magnitude of dengue epidemics.
Objective: to evaluate, under simulated field conditions, the efficacy of pyriproxyfen (juvenile hormone), novaluron (chitin inhibitor) and spinosad (biolarvicide) in controlling Aedes aegypti. Methods: periodic exposition of Ae. aegypti larvae collected in Itabuna, BA, Brazil, to recipients treated with larvicides and comparison of residual effect of treatment with the Rockefeller strain. Results: the inhibitory effect on adult emergence after 60 days was spinosad 89.5%, novaluron 96.5% and pyriproxifen 75.4% for Itabuna larvae, with no statistical difference (p=0.412) between treatments; spinosad and novaluron had a higher percentage of mortality in the larval stage, 98.8% and 97.9% respectively; pyriproxyfen showed higher mortality (95.1%) in the pupal stage. Conclusion: the three larvicides demonstrated similar control; however, pyriprofyxen might give a false impression of breeding ground positivity as it acts at the pupal stage, compromising the indicators of infestation that are strategic parameters for control actions.
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