An entomological surveillance system based on open spatial information for participative dengue control

An Acad Bras Cienc. 2009 Dec;81(4):655-62. doi: 10.1590/s0001-37652009000400004.


Aedes aegypti is a very efficient disseminator of human pathogens. This condition is the result of evolutionary adaptations to frequent haematophagy, as well as to the colonization of countless types of habitats associated with environmental and cultural factors that favor the proliferation of this mosquito in urban ecosystems. Studies using sensitive methods of monitoring demonstrate that the methods of surveillance used in the Brazilian program do not show the high degrees of the infestation of cities by this vector. To increase the capacity of the health sector, new tools are needed to the practice of surveillance, which incorporate aspects of the vector, place and human population. We describe here the SMCP-Aedes - Monitoring System and Population Control of Aedes aegypti, aiming to provide an entomological surveillance framework as a basis for epidemiological surveillance of dengue. The SMCP-Aedes is uphold in the space technology information, supported by the intensive use of the web and free software to collect, store, analyze and disseminate information on the spatial-temporal distribution of the estimated density for the population of Aedes, based on data systematically collected with the use of ovitraps. Planned control interventions, intensified where and when indicated by the entomological surveillance, are agreed with the communities, relying on the permanent social mobilization.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aedes / growth & development
  • Aedes / virology*
  • Animals
  • Brazil
  • Dengue / prevention & control*
  • Dengue / transmission
  • Geographic Information Systems*
  • Humans
  • Insect Vectors / growth & development
  • Insect Vectors / virology*
  • Mosquito Control / methods*
  • National Health Programs*
  • Population Dynamics
  • Population Surveillance / methods
  • Urban Population