Literature DB >> 15825756

Investigation of relationships between Aedes aegypti egg, larvae, pupae, and adult density indices where their main breeding sites were located indoors.

Claudia M E Romero-Vivas1, Andrew K I Falconar.   

Abstract

Aedes aegypti (L.) density indices obtained in a dengue fever (DF) endemic area were compared. One hundred and twenty premises, in an urban area of Colombia where dengue type-1 and type-2 virus cocirculated, were randomly selected and sampled for 7 months. The geometric mean monthly numbers (density index, DI) of Ae. aegypti eggs (ODI), 4th instar larvae (LDI), pupae (PDI), and adults (ADI) were calculated based on the use of ovitraps, nets, and manual aspirators, respectively. A negative temporal correlation was observed between the LDI and the ODI (r = -0.83, df = 5, and P < 0.01). Positive temporal correlations were only observed between the LDI and the PDI (r = 0.90, df = 5, and P < 00.5) and the Breteau and House indices (r = 0.86, df = 5, and P < 0.01). No other correlations were found between these indices and any of the other density indices or the incidence of suspected DF cases in residents, the temperature, the rainfall, or seasonal fluctuations. Our results were, therefore, probably due to the most productive Ae. aegypti breeding sites (large water containers) being located indoors within this study area. The number of adult female Ae. aegypti/person (n = 0.5) and pupae/person (n = 11) in our study area were lower and dramatically higher than the transmission thresholds previously reported for adult and pupae, respectively. Because there were confirmed DF cases during the study period, the transmission threshold based on the Ae. aegypti pupae was clearly more reliable. We found that the mean ovitrap premise index (OPI) was 98.2% during this study and that the mean larval (L-4th instars) premise index (LPI) was 59.2%, and therefore we suggest that the OPI and LPI would be more sensitive methods to gauge the effectiveness of A. aegypti control programs.

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Year:  2005        PMID: 15825756     DOI: 10.2987/8756-971X(2005)21[15:IORBAA]2.0.CO;2

Source DB:  PubMed          Journal:  J Am Mosq Control Assoc        ISSN: 8756-971X            Impact factor:   0.917


  23 in total

1.  Mapping the spatial distribution of the dengue vector Aedes aegypti and predicting its abundance in northeastern Thailand using machine-learning approach.

Authors:  M S Rahman; Chamsai Pientong; Sumaira Zafar; Tipaya Ekalaksananan; Richard E Paul; Ubydul Haque; Joacim Rocklöv; Hans J Overgaard
Journal:  One Health       Date:  2021-12-04

2.  Modeling the impact of genetically modified male mosquitoes in the spatial population dynamics of Aedes aegypti.

Authors:  Monalisa R da Silva; Pedro H G Lugão; Fábio Prezoto; Grigori Chapiro
Journal:  Sci Rep       Date:  2022-06-01       Impact factor: 4.996

3.  A novel optical sensor system for the automatic classification of mosquitoes by genus and sex with high levels of accuracy.

Authors:  María I González-Pérez; Bastian Faulhaber; Núria Busquets; Sandra Talavera; Mark Williams; Josep Brosa; Carles Aranda; Nuria Pujol; Marta Verdún; Pancraç Villalonga; Joao Encarnação
Journal:  Parasit Vectors       Date:  2022-06-06       Impact factor: 4.047

4.  Density-dependent intraspecific competition in the larval stage of Aedes aegypti (Diptera: Culicidae): revisiting the current paradigm.

Authors:  Mathieu Legros; Alun L Lloyd; Yunxin Huang; Fred Gould
Journal:  J Med Entomol       Date:  2009-05       Impact factor: 2.278

5.  Short Report: Adult Aedes abundance and risk of dengue transmission.

Authors:  Janet Ong; Joel Aik; Lee Ching Ng
Journal:  PLoS Negl Trop Dis       Date:  2021-06-03

6.  Density of Aedes aegypti and Aedes albopictus and its association with number of residents and meteorological variables in the home environment of dengue endemic area, São Paulo, Brazil.

Authors:  Marianni de Moura Rodrigues; Gisela Rita Alvarenga Monteiro Marques; Lígia Leandro Nunes Serpa; Marylene de Brito Arduino; Júlio Cesar Voltolini; Gerson Laurindo Barbosa; Valmir Roberto Andrade; Virgília Luna Castor de Lima
Journal:  Parasit Vectors       Date:  2015-02-19       Impact factor: 3.876

7.  Spatial and temporal habitat segregation of mosquitoes in urban Florida.

Authors:  Paul T Leisnham; Shannon L LaDeau; Steven A Juliano
Journal:  PLoS One       Date:  2014-03-12       Impact factor: 3.240

Review 8.  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

9.  Spatial distribution of the risk of dengue and the entomological indicators in Sumaré, state of São Paulo, Brazil.

Authors:  Gerson Laurindo Barbosa; Maria Rita Donalísio; Celso Stephan; Roberto Wagner Lourenço; Valmir Roberto Andrade; Marylene de Brito Arduino; Virgilia Luna Castor de Lima
Journal:  PLoS Negl Trop Dis       Date:  2014-05-15

10.  Serological biomarker for assessing human exposure to Aedes mosquito bites during a randomized vector control intervention trial in northeastern Thailand.

Authors:  Benedicte Fustec; Thipruethai Phanitchat; Sirinart Aromseree; Chamsai Pientong; Kesorn Thaewnongiew; Tipaya Ekalaksananan; Dominique Cerqueira; Anne Poinsignon; Eric Elguero; Michael J Bangs; Neal Alexander; Hans J Overgaard; Vincent Corbel
Journal:  PLoS Negl Trop Dis       Date:  2021-05-27
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