Title |
Intelligent monitoring of Aedes aegypti in a rural area of Rio de Janeiro State, Brazil
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Published in |
Revista do Instituto de Medicina Tropical de Sao Paulo, August 2017
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DOI | 10.1590/s1678-9946201759051 |
Pubmed ID | |
Authors |
Argemiro Sanavria, Claudia Bezerra da Silva, Érica Heleno Electo, Lidiane Cristina Rocha Nogueira, Sandra Maria Gomes Thomé, Isabele da Costa Angelo, Gilmar Ferreira Vita, Talles Eduardo Cabral Sanavria, Elisa Domingues Padua, Denise Glória Gaiotte |
Abstract |
The aim of this research was to monitor the presence of females of Aedes aegypti (Linnaeus, 1762) on the Seropédica municipality, Rio de Janeiro State, from 2010 to 2013. For this purpose, the Intelligent Dengue Monitoring (IM-Dengue) and Intelligent Virus Monitoring (IM-Virus) developed by Universidade Federal de Minas Gerais (Ecovec - Minas Gerais, Brazil), were used. IM-Dengue is a tool that allows achieving a weekly overview of A. aegypti infestation, while IM-Virus is another tool that allows detecting dengue virus directly from the mosquito, by Real Time-PCR. Both tools were developed for diagnosis in a prepathogenesis period of the disease, before infection occurrence. Traps were distributed in 19 locations inside the municipality and the bugs were collected weekly during the years of the research. As a result, the presence of 163 females of A. aegypti was recorded over the period; there was no circulation of the virus in the municipality. In one of the 19 study sites, a high degree of disease transmission risk was verified. The study concluded that the municipality, as a whole, showed no risk of disease transmission throughout the field research period. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 29 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 7 | 24% |
Researcher | 5 | 17% |
Student > Doctoral Student | 4 | 14% |
Other | 2 | 7% |
Student > Postgraduate | 2 | 7% |
Other | 4 | 14% |
Unknown | 5 | 17% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 6 | 21% |
Agricultural and Biological Sciences | 5 | 17% |
Biochemistry, Genetics and Molecular Biology | 3 | 10% |
Social Sciences | 2 | 7% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
Other | 4 | 14% |
Unknown | 8 | 28% |