Literature DB >> 9633110

Mapping the ranges and relative abundance of the two principal African malaria vectors, Anopheles gambiae sensu stricto and An. arabiensis, using climate data.

S W Lindsay1, L Parson, C J Thomas.   

Abstract

Members of the Anopheles gambiae complex are major malaria vectors in Africa. We tested the hypothesis that the range and relative abundance of the two major vectors in the complex, An. gambiae sensu stricto and An. arabiensis, could be defined by climate. Climate was characterized at mosquito survey sites by extracting data for each location from climate surfaces using a Geographical Information System. Annual precipitation, together with annual and wet season temperature, defined the ranges of both vectors and were used to map suitable climate zones. Using data from West Africa, we found that where the species were sympatric, An. gambiae s.s. predominated in saturated environments, and An. arabiensis was more common in sites subject to desiccation (r2 = 0.875, p < 0.001). We used the nonlinear equation that best described this relationship to map habitat suitability across Africa. This simple model predicted accurately the relative abundance of both vectors in Tanzania (rs = 0.745, p = 0.002), where species composition is highly variable. The combined maps of species' range and relative abundance showed very good agreement with published maps. This technique represents a new approach to mapping the distribution of malaria vectors over large areas and may facilitate species-specific vector control activities.

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Year:  1998        PMID: 9633110      PMCID: PMC1689061          DOI: 10.1098/rspb.1998.0369

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  23 in total

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  78 in total

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Authors:  A K Githeko; E N Ototo; Yan Guiyun
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Authors:  Guillaume Chabot-Couture; Karima Nigmatulina; Philip Eckhoff
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Authors:  Diego Ayala; Pelayo Acevedo; Marco Pombi; Ibrahima Dia; Daniela Boccolini; Carlo Costantini; Frédéric Simard; Didier Fontenille
Journal:  Evolution       Date:  2017-02-27       Impact factor: 3.694

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Authors:  A A Spiers; T Mzilahowa; D Atkinson; P J McCall
Journal:  Malawi Med J       Date:  2002-04       Impact factor: 0.875

5.  High resolution niche models of malaria vectors in northern Tanzania: a new capacity to predict malaria risk?

Authors:  Manisha A Kulkarni; Rachelle E Desrochers; Jeremy T Kerr
Journal:  PLoS One       Date:  2010-02-24       Impact factor: 3.240

6.  Predicting and mapping malaria under climate change scenarios: the potential redistribution of malaria vectors in Africa.

Authors:  Henri E Z Tonnang; Richard Y M Kangalawe; Pius Z Yanda
Journal:  Malar J       Date:  2010-04-23       Impact factor: 2.979

Review 7.  Developing global maps of the dominant anopheles vectors of human malaria.

Authors:  Simon I Hay; Marianne E Sinka; Robi M Okara; Caroline W Kabaria; Philip M Mbithi; Carolynn C Tago; David Benz; Peter W Gething; Rosalind E Howes; Anand P Patil; William H Temperley; Michael J Bangs; Theeraphap Chareonviriyaphap; Iqbal R F Elyazar; Ralph E Harbach; Janet Hemingway; Sylvie Manguin; Charles M Mbogo; Yasmin Rubio-Palis; H Charles J Godfray
Journal:  PLoS Med       Date:  2010-02-09       Impact factor: 11.069

8.  Establishment of a self-propagating population of the African malaria vector Anopheles arabiensis under semi-field conditions.

Authors:  Kija R N Ng'habi; Dickson Mwasheshi; Bart G J Knols; Heather M Ferguson
Journal:  Malar J       Date:  2010-12-08       Impact factor: 2.979

Review 9.  Global change and human vulnerability to vector-borne diseases.

Authors:  Robert W Sutherst
Journal:  Clin Microbiol Rev       Date:  2004-01       Impact factor: 26.132

10.  Inversion 2La is associated with enhanced desiccation resistance in Anopheles gambiae.

Authors:  Emilie M Gray; Kyle A C Rocca; Carlo Costantini; Nora J Besansky
Journal:  Malar J       Date:  2009-09-21       Impact factor: 2.979

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