Literature DB >> 19287866

Preliminary evaluation of the 'Dengue-MI' technology for Aedes aegypti monitoring and control.

Alvaro Eduardo Eiras1, Marcelo Carvalho Resende.   

Abstract

Limitations in the laboratory identification of Aedes aegypti and processing of field data based on larval surveys led to the development of the 'Intelligent Dengue Monitoring' technology (MI-Dengue). MI-Dengue consists of a trap that captures gravid female Ae. aegypti, coupled with a computerized system for field data collection, transmission, and access to georeferenced maps in real time. The current study describe the first experience with a system for monitoring adult Ae. aegypti and presents the preliminary results in three municipalities that adopted MI-Dengue as a strategy to identify key areas and orient control measures. Weekly georeferenced maps and an entomological indicator (Mean Female Aedes Index) provided information on infested areas and infestation levels, color-coded according to the number of captured female Ae. aegypti, and indicated risk-free, dengue alert, and critical situations that triggered appropriate control measures. The preliminary results suggest that the adoption of this control strategy with house-to-house visits in a 200m radius of the positive trap helped reduce dengue in the municipalities that adopted the system.

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Year:  2009        PMID: 19287866     DOI: 10.1590/s0102-311x2009001300005

Source DB:  PubMed          Journal:  Cad Saude Publica        ISSN: 0102-311X            Impact factor:   1.632


  26 in total

1.  Forecasting the Spread of Mosquito-Borne Disease using Publicly Accessible Data: A Case Study in Chikungunya.

Authors:  Kathryn M Cooper; Dhundy R Bastola; Robin Gandhi; Dario Ghersi; Steven Hinrichs; Marsha Morien; Ann Fruhling
Journal:  AMIA Annu Symp Proc       Date:  2017-02-10

Review 2.  Mosquito Attractants.

Authors:  Laurent Dormont; Margaux Mulatier; David Carrasco; Anna Cohuet
Journal:  J Chem Ecol       Date:  2021-03-16       Impact factor: 2.626

3.  Entomological Investigation of Aedes aegypti In Neighborhoods With Confirmed Human Arbovirus Infection In Puerto Rico.

Authors:  Gilberto E Felix; Roberto Barrera; Jesus Vazquez; Kyle R Ryff; Jorge L Munoz-Jordan; Katia Y Matias; Ryan R Hemme
Journal:  J Am Mosq Control Assoc       Date:  2018-09       Impact factor: 0.917

4.  Cost-effectiveness of novel system of mosquito surveillance and control, Brazil.

Authors:  Kim M Pepin; Cecilia Marques-Toledo; Luciano Scherer; Maira M Morais; Brett Ellis; Alvaro E Eiras
Journal:  Emerg Infect Dis       Date:  2013-04       Impact factor: 6.883

5.  Mass trapping with MosquiTRAPs does not reduce Aedes aegypti abundance.

Authors:  Carolin Marlen Degener; Tatiana Mingote Ferreira de Ázara; Rosemary Aparecida Roque; Susanne Rösner; Eliseu Soares Oliveira Rocha; Erna Geessien Kroon; Cláudia Torres Codeço; Aline Araújo Nobre; Jörg Johannes Ohly; Martin Geier; Álvaro Eduardo Eiras
Journal:  Mem Inst Oswaldo Cruz       Date:  2015-04-28       Impact factor: 2.743

6.  A comparison of larval, ovitrap and MosquiTRAP surveillance for Aedes (Stegomyia) aegypti.

Authors:  Marcelo Carvalho de Resende; Ivoneide Maria Silva; Brett R Ellis; Álvaro Eduardo Eiras
Journal:  Mem Inst Oswaldo Cruz       Date:  2013-12       Impact factor: 2.743

7.  Dengue fever occurrence and vector detection by larval survey, ovitrap and MosquiTRAP: a space-time clusters analysis.

Authors:  Diogo Portella Ornelas de Melo; Luciano Rios Scherrer; Álvaro Eduardo Eiras
Journal:  PLoS One       Date:  2012-07-25       Impact factor: 3.240

8.  Modeling the non-stationary climate dependent temporal dynamics of Aedes aegypti.

Authors:  Taynãna C Simões; Cláudia T Codeço; Aline A Nobre; Alvaro E Eiras
Journal:  PLoS One       Date:  2013-08-20       Impact factor: 3.240

9.  An improved autocidal gravid ovitrap for the control and surveillance of Aedes aegypti.

Authors:  Andrew J Mackay; Manuel Amador; Roberto Barrera
Journal:  Parasit Vectors       Date:  2013-08-06       Impact factor: 3.876

Review 10.  Assessing the relationship between vector indices and dengue transmission: a systematic review of the evidence.

Authors:  Leigh R Bowman; Silvia Runge-Ranzinger; P J McCall
Journal:  PLoS Negl Trop Dis       Date:  2014-05-08
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