Literature DB >> 23950095

On the use of classic epidemiological formulae for estimating the intensity of endemic malaria transmission by vectors in the Amazon.

F S M Barros1, W P Tadei, M E Arruda, Nildimar A Honório.   

Abstract

Although various reports have described entomological inoculation rates of malaria vector species, most were limited to providing descriptive field data. Here, we report biting rates and survival data for two important malaria vectors in the Amazon, Anopheles darlingi (Root) and Anopheles albitarsis E (Lynch-Arribalzaga) (Diptera: Culicidae), in the state of Roraima, Brazil. We calculated theoretical sporozoite infection rates and critical vector biting rates for these species during 1 year, comprising six bimestrial collections. Anopheles darlingi had higher sporozoite rates and lower critical biting rates, indicating that it would be the more efficient vector at the beginning of epidemic malaria transmission. Our data, together with compiled information from the literature in the Amazon, suggest that epidemic malaria transmission may be initiated by the primary vector, such as A. darlingi, while secondary vectors, such as A. albitarsis E, may only become epidemiologically important when there is an increase in the prevalence of human malaria. We propose that mathematical modeling may be able to quantify the relative importance of secondary vector species in malaria epidemiology.

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Year:  2012        PMID: 23950095     DOI: 10.1007/s13744-012-0065-5

Source DB:  PubMed          Journal:  Neotrop Entomol        ISSN: 1519-566X            Impact factor:   1.434


  31 in total

1.  Age-grouping methods in Diptera of medical importance with special reference to some vectors of malaria.

Authors:  T S DETINOVA
Journal:  Monogr Ser World Health Organ       Date:  1962

2.  Field studies of some of the basic factors concerned in the transmission of malaria.

Authors:  G DAVIDSON; C C DRAPER
Journal:  Trans R Soc Trop Med Hyg       Date:  1953-11       Impact factor: 2.184

Review 3.  Ecoregional classification of malaria vectors in the neotropics.

Authors:  Y Rubio-Palis; R H Zimmerman
Journal:  J Med Entomol       Date:  1997-09       Impact factor: 2.278

4.  The value of vector-based estimates of malaria transmission.

Authors:  T R Burkot; P M Graves
Journal:  Ann Trop Med Parasitol       Date:  1995-04

5.  Biting indices, host-seeking activity and natural infection rates of anopheline species in Boa Vista, Roraima, Brazil from 1996 to 1998.

Authors:  Adenildo da Silva-Vasconcelos; Márcio Yukió Neves Kató; Eliana Neves Mourão; Raimundo Tadeu Lessa de Souza; Raimundo Nonato da Luz Lacerda; Alexander Sibajev; Pantelis Tsouris; Marinete Marins Póvoa; Hooman Momen; Maria Goreti Rosa-Freitas
Journal:  Mem Inst Oswaldo Cruz       Date:  2002-03       Impact factor: 2.743

6.  Malaria sporozoite detection by dissection and ELISA to assess infectivity of afrotropical Anopheles (Diptera: Culicidae).

Authors:  J C Beier; P V Perkins; J K Koros; F K Onyango; T P Gargan; R A Wirtz; D K Koech; C R Roberts
Journal:  J Med Entomol       Date:  1990-05       Impact factor: 2.278

7.  Comparative susceptibility of anopheline mosquitoes in Rondonia, Brazil to infection by Plasmodium vivax.

Authors:  T A Klein; J B Lima; M S Tada; R Miller
Journal:  Am J Trop Med Hyg       Date:  1991-10       Impact factor: 2.345

8.  Malaria entomological inoculation rates in gold mining areas of Southern Venezuela.

Authors:  Jorge E Moreno; Yasmín Rubio-Palis; Elisa Páez; Enrique Pérez; Víctor Sánchez; Elena Vaccari
Journal:  Mem Inst Oswaldo Cruz       Date:  2009-08       Impact factor: 2.743

9.  Malaria entomological inoculation rates in western Venezuela.

Authors:  Y Rubio-Palis; R A Wirtz; C F Curtis
Journal:  Acta Trop       Date:  1992-12       Impact factor: 3.112

10.  Survivorship of Anopheles darlingi (Diptera: Culicidae) in relation with malaria incidence in the Brazilian Amazon.

Authors:  Fábio Saito Monteiro de Barros; Nildimar Alves Honório; Mércia Eliane Arruda
Journal:  PLoS One       Date:  2011-08-08       Impact factor: 3.240

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