Title |
Identificação de áreas prioritárias para a vigilância e controle de dengue e outras arboviroses transmitidas pelo Aedes aegypti no município de Natal-RN: relato de experiência
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Published in |
Epidemiologia e Serviços de Saúde, July 2017
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DOI | 10.5123/s1679-49742017000300020 |
Pubmed ID | |
Authors |
Isabelle Ribeiro Barbosa, Alessandre de Medeiros Tavares, Úrsula Priscila da Silva Torres, Carlos André do Nascimento, Márcia Cristina Bernardo de Melo Moura, Valderi Barbosa Vieira, Josélio Maria Galvão de Araújo, Renata Antonacci Gama, Isabelle Ribeiro Barbosa, Alessandre de Medeiros Tavares, Úrsula Priscila da Silva Torres, Carlos André do Nascimento, Márcia Cristina Bernardo de Melo Moura, Valderi Barbosa Vieira, Josélio Maria Galvão de Araújo, Renata Antonacci Gama |
Abstract |
to report the vigi@dengue experience, held in the municipality of Natal-RN, Brazil, from October/2015 to May/2016. entomological indicators were obtained from the oviposition traps, epidemiological indicators from notifications on the online Information System for Notifiable Diseases (Sinan-dengue), active search for cases and viral RNA detection (RTq-PCR) in arthropods and human serum samples; risk levels have been created based on these indicators; categories of interventions for each risk level have been established. early identification of epidemics in three areas of the municipality, with guidance for field work for the most vulnerable areas; the municipality presented ovitrap positivity index (OPI) of 40% and eggs density index (EDI) of 51 eggs/ovitraps; identification of CHIKV, DENV-1 and DENV-3 in Natal-RN. the strategy identified the early emergence of epidemics in specific locations; it was helpful in the guidance of control measures for the areas of major risk. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 72 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 21 | 29% |
Student > Bachelor | 13 | 18% |
Other | 4 | 6% |
Student > Postgraduate | 4 | 6% |
Student > Ph. D. Student | 4 | 6% |
Other | 11 | 15% |
Unknown | 15 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Nursing and Health Professions | 10 | 14% |
Agricultural and Biological Sciences | 9 | 13% |
Biochemistry, Genetics and Molecular Biology | 8 | 11% |
Medicine and Dentistry | 8 | 11% |
Computer Science | 3 | 4% |
Other | 16 | 22% |
Unknown | 18 | 25% |