Literature DB >> 312159

Assessment of insecticidal impact on the malaria mosquito's vectorial capacity, from data on the man-biting rate and age-composition.

L Molineaux, G R Shidrawi, J L Clarke, J R Boulzaguet, T S Ashkar.   

Abstract

The reduction in average age of a vector population after application of a residual insecticide is commonly interpreted under the implicit assumption that the vector population is uniformly exposed to the insecticide. This assumption maximizes the calculated impact of the insecticide on the vectorial capacity. An alternative assumption, namely that the vector population is composed of two subpopulations, one endophilic and exposed, the other exophilic and not exposed, leads to a much smaller calculated impact of insecticide on the vectorial capacity. This is illustrated with data collected before and after application of propoxur in the Garki District, Kano State, Nigeria. These data were also used to estimate, on the one hand, before spraying, the proportion of blood meals taken by Anopheles gambiae s.l. on man that are followed by rest indoors, and on the other hand, after spraying, the proportion exposed after the first blood meal, according to the model of non-uniform exposure; the two estimates agree fairly well. The discussion compares the models of uniform and non-uniform exposure in terms of plausibility and concludes that the latter is more realistic. It is therefore prudent to take it into account when evaluating the impact of insecticides on the transmission of malaria.

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Year:  1979        PMID: 312159      PMCID: PMC2395773     

Source DB:  PubMed          Journal:  Bull World Health Organ        ISSN: 0042-9686            Impact factor:   9.408


  5 in total

1.  THE ASSESSMENT OF INSECTICIDAL IMPACT ON THE MALARIA MOSQUITO'S VECTORIAL CAPACITY, FROM DATA ON THE PROPORTION OF PAROUS FEMALES.

Authors:  C GARRETT-JONES; B GRAB
Journal:  Bull World Health Organ       Date:  1964       Impact factor: 9.408

2.  Behavioural divergences between mosquitoes with different inversion karyotypes in polymorphic populations of the Anopheles gambiae complex.

Authors:  M Coluzzi; A Sabatini; V Petrarca; M A Di Deco
Journal:  Nature       Date:  1977-04-28       Impact factor: 49.962

3.  A malaria model tested in the African savannah.

Authors:  K Dietz; L Molineaux; A Thomas
Journal:  Bull World Health Organ       Date:  1974       Impact factor: 9.408

4.  The impact of propoxur on Anopheles gambiae s.1. and some other anopheline populations, and its relationship with some pre-spraying variables.

Authors:  L Molineaux; G R Shidrawi; J L Clarke; R Boulzaguet; T Ashkar; K Dietz
Journal:  Bull World Health Organ       Date:  1976       Impact factor: 9.408

5.  Malaria vectorial capacity of a population of Anopheles gambiae: an exercise in epidemiological entomology.

Authors:  C Garrett-Jones; G R Shidrawi
Journal:  Bull World Health Organ       Date:  1969-04       Impact factor: 9.408

  5 in total
  20 in total

1.  Seasonal population dynamics and behaviour of insects in models of vector-borne pathogens.

Authors:  Cynthia C Lord
Journal:  Physiol Entomol       Date:  2004       Impact factor: 1.833

2.  Heterogeneities of the malaria vectorial system in tropical Africa and their significance in malaria epidemiology and control.

Authors:  M Coluzzi
Journal:  Bull World Health Organ       Date:  1984       Impact factor: 9.408

3.  A cryptic subgroup of Anopheles gambiae is highly susceptible to human malaria parasites.

Authors:  Michelle M Riehle; Wamdaogo M Guelbeogo; Awa Gneme; Karin Eiglmeier; Inge Holm; Emmanuel Bischoff; Thierry Garnier; Gregory M Snyder; Xuanzhong Li; Kyriacos Markianos; N'Fale Sagnon; Kenneth D Vernick
Journal:  Science       Date:  2011-02-04       Impact factor: 47.728

4.  Tests for the existence of genetic variability in the tendency of Anopheles culicifacies species B to rest in houses and to bite man.

Authors:  P Rawlings; C F Curtis
Journal:  Bull World Health Organ       Date:  1982       Impact factor: 9.408

5.  An Epidemiological Model of Malaria Accounting for Asymptomatic Carriers.

Authors:  Jacob B Aguilar; Juan B Gutierrez
Journal:  Bull Math Biol       Date:  2020-03-14       Impact factor: 1.758

6.  Characterization of malaria transmission by vector populations for improved interventions during the dry season in the Kpone-on-Sea area of coastal Ghana.

Authors:  David P Tchouassi; Isabella A Quakyi; Ebenezer A Addison; Kwabena M Bosompem; Michael D Wilson; Maxwell A Appawu; Charles A Brown; Daniel A Boakye
Journal:  Parasit Vectors       Date:  2012-09-26       Impact factor: 3.876

7.  Nigeria Anopheles vector database: an overview of 100 years' research.

Authors:  Patricia Nkem Okorie; F Ellis McKenzie; Olusegun George Ademowo; Moses Bockarie; Louise Kelly-Hope
Journal:  PLoS One       Date:  2011-12-05       Impact factor: 3.240

8.  Outdoor biting by Anopheles mosquitoes on Bioko Island does not currently impact on malaria control.

Authors:  John Bradley; Jo Lines; Godwin Fuseini; Christopher Schwabe; Feliciano Monti; Michel Slotman; Daniel Vargas; Guillermo Garcia; Dianna Hergott; Immo Kleinschmidt
Journal:  Malar J       Date:  2015-04-21       Impact factor: 2.979

9.  Entomological surveillance of behavioural resilience and resistance in residual malaria vector populations.

Authors:  Nicodem J Govella; Prosper P Chaki; Gerry F Killeen
Journal:  Malar J       Date:  2013-04-11       Impact factor: 2.979

Review 10.  The importance of mosquito behavioural adaptations to malaria control in Africa.

Authors:  Michelle L Gatton; Nakul Chitnis; Thomas Churcher; Martin J Donnelly; Azra C Ghani; H Charles J Godfray; Fred Gould; Ian Hastings; John Marshall; Hilary Ranson; Mark Rowland; Jeff Shaman; Steve W Lindsay
Journal:  Evolution       Date:  2013-02-15       Impact factor: 3.694

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