Literature DB >> 11193624

Assessing infestation risk by vectors. Spatial and temporal distribution of African ticks at the scale of a landscape.

M De Garine-Wichatitsky1.   

Abstract

Control of major livestock diseases in the tropics, such as theileriosis or trypanosomosis, is still largely based on the control of their vectors. Understanding the distribution of vectors, such as ticks and tsetse flies, is needed in order to improve the efficiency and economical viability of control operations. Technical improvements such as remote sensing and global information systems have allowed valuable improvements for the prediction of large-scale vector distribution (continental to national), but trying to make these predictions at the scale of a landscape is facing other challenges. At this scale, an analysis of host/vector interactions with an evolutionary point of view is useful. A study was undertaken on a mixed game/cattle ranch in Zimbabwe during which we monitored variations in the abundance and spatial distribution of the immature free stages of Rhipicephalus appendiculatus/R. zambeziensis and R. e. evertsi, two major groups of tick species in Southern Africa. We found two contrasting distributions in relation to contact between tick larvae. The ungulate-host R. e. evertsi appeared to be unpredictable, whereas R. appendiculatus/R. zambeziensis were predictable in time and space, but associated with key-resources for ungulates (water and forage resources). The consequences of such distributions are discussed in terms of vector control.

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Year:  2000        PMID: 11193624     DOI: 10.1111/j.1749-6632.2000.tb05293.x

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  2 in total

Review 1.  Vector-borne disease and climate change adaptation in African dryland social-ecological systems.

Authors:  Bruce A Wilcox; Pierre Echaubard; Michel de Garine-Wichatitsky; Bernadette Ramirez
Journal:  Infect Dis Poverty       Date:  2019-05-27       Impact factor: 4.520

2.  Landscape determinants and remote sensing of anopheline mosquito larval habitats in the western Kenya highlands.

Authors:  Emmanuel Mushinzimana; Stephen Munga; Noboru Minakawa; Li Li; Chen-Chieng Feng; Ling Bian; Uriel Kitron; Cindy Schmidt; Louisa Beck; Guofa Zhou; Andrew K Githeko; Guiyun Yan
Journal:  Malar J       Date:  2006-02-16       Impact factor: 2.979

  2 in total

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