Literature DB >> 16630392

Application of the pupal/demographic-survey methodology to identify the key container habitats of Aedes aegypti (L.) in Malindi district, Kenya.

J T Midega1, J Nzovu, S Kahindi, R C Sang, C Mbogo.   

Abstract

The pupal/demographic-survey methodology was evaluated in three coastal areas (one urban, one peri-urban and one rural) of Malindi district, Kenya, in attempts to identify the types of domestic container that are most productive for Aedes aegypti (L.) pupae. The results demonstrated the practicality and consistency of the methodology, as a tool both for identifying and guiding the targeted control of the most productive container habitats, and for determining the mean numbers of pupae/person, as measures of the risk of dengue transmission.Twenty-five types of container were identified indoors and 50 types outdoors. In total, only 4,178 pupae were seen indoors and 795 outdoors. Pupal productivity was dependent on the type, location and volume of the container and the season of the year. Metallic drums and jerricans contributed >70% of the pupae encountered indoors in the wet season whereas, in the rural area, plastic drums contributed 83.7% of all the larvae seen outdoors during the dry season. Container productivity was not consistent during the different surveys. The highest mean numbers of pupae/person (7.61) and of pupae/household (18.12) were recorded in the rural area.

Entities:  

Mesh:

Year:  2006        PMID: 16630392     DOI: 10.1179/136485906X105525

Source DB:  PubMed          Journal:  Ann Trop Med Parasitol        ISSN: 0003-4983


  15 in total

1.  Mosquito species abundance and diversity in Malindi, Kenya and their potential implication in pathogen transmission.

Authors:  Joseph M Mwangangi; Janet Midega; Samuel Kahindi; Laban Njoroge; Joseph Nzovu; John Githure; Charles M Mbogo; John C Beier
Journal:  Parasitol Res       Date:  2011-05-31       Impact factor: 2.289

2.  Patterns of Aedes aegypti (Diptera: Culicidae) infestation and container productivity measured using pupal and Stegomyia indices in northern Argentina.

Authors:  F M Garelli; M O Espinosa; D Weinberg; H D Coto; M S Gaspe; R E Gürtler
Journal:  J Med Entomol       Date:  2009-09       Impact factor: 2.278

3.  Mosquito-producing containers, spatial distribution, and relationship between Aedes aegypti population indices on the southern boundary of its distribution in South America (Salto, Uruguay).

Authors:  César Basso; Ruben M Caffera; Elsa García da Rosa; Rosario Lairihoy; Cristina González; Walter Norbis; Ingrid Roche
Journal:  Am J Trop Med Hyg       Date:  2012-11-05       Impact factor: 2.345

4.  Exploring the relationships between dengue fever knowledge and Aedes aegypti breeding in St Catherine Parish, Jamaica: a pilot of enhanced low-cost surveillance.

Authors:  Justin Stoler; Stephanie K Brodine; Simeon Bromfield; John R Weeks; Henroy P Scarlett
Journal:  Res Rep Trop Med       Date:  2011-06-27

5.  Dengue Outbreak in Mombasa City, Kenya, 2013-2014: Entomologic Investigations.

Authors:  Joel Lutomiah; Roberto Barrera; Albina Makio; James Mutisya; Hellen Koka; Samuel Owaka; Edith Koskei; Albert Nyunja; Fredrick Eyase; Rodney Coldren; Rosemary Sang
Journal:  PLoS Negl Trop Dis       Date:  2016-10-26

6.  Serological and spatial analysis of alphavirus and flavivirus prevalence and risk factors in a rural community in western Kenya.

Authors:  Elysse N Grossi-Soyster; Elizabeth A J Cook; William A de Glanville; Lian F Thomas; Amy R Krystosik; Justin Lee; C Njeri Wamae; Samuel Kariuki; Eric M Fèvre; A Desiree LaBeaud
Journal:  PLoS Negl Trop Dis       Date:  2017-10-17

7.  Characterization and productivity profiles of Aedes aegypti (L.) breeding habitats across rural and urban landscapes in western and coastal Kenya.

Authors:  Harun N Ngugi; Francis M Mutuku; Bryson A Ndenga; Peter S Musunzaji; Joel O Mbakaya; Peter Aswani; Lucy W Irungu; Dunstan Mukoko; John Vulule; Uriel Kitron; Angelle D LaBeaud
Journal:  Parasit Vectors       Date:  2017-07-12       Impact factor: 3.876

8.  Assessment of risk of dengue and yellow fever virus transmission in three major Kenyan cities based on Stegomyia indices.

Authors:  Sheila B Agha; David P Tchouassi; Armanda D S Bastos; Rosemary Sang
Journal:  PLoS Negl Trop Dis       Date:  2017-08-17

9.  Scaling Up of an Innovative Intervention to Reduce Risk of Dengue, Chikungunya, and Zika Transmission in Uruguay in the Framework of an Intersectoral Approach with and without Community Participation.

Authors:  César Basso; Elsa García da Rosa; Rosario Lairihoy; Ruben M Caffera; Ingrid Roche; Cristina González; Ricardo da Rosa; Alexis Gularte; Eduardo Alfonso-Sierra; Max Petzold; Axel Kroeger; Johannes Sommerfeld
Journal:  Am J Trop Med Hyg       Date:  2017-08-18       Impact factor: 2.345

10.  Assessing dengue transmission risk and a vector control intervention using entomological and immunological indices in Thailand: study protocol for a cluster-randomized controlled trial.

Authors:  Hans J Overgaard; Chamsai Pientong; Kesorn Thaewnongiew; Michael J Bangs; Tipaya Ekalaksananan; Sirinart Aromseree; Thipruethai Phanitchat; Supranee Phanthanawiboon; Benedicte Fustec; Vincent Corbel; Dominique Cerqueira; Neal Alexander
Journal:  Trials       Date:  2018-02-20       Impact factor: 2.279

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.