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Assessment of ICount software, a precise and fast egg counting tool for the mosquito vector Aedes aegypti

Overview of attention for article published in Parasites & Vectors, November 2016
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Title
Assessment of ICount software, a precise and fast egg counting tool for the mosquito vector Aedes aegypti
Published in
Parasites & Vectors, November 2016
DOI 10.1186/s13071-016-1870-1
Pubmed ID
Authors

Julie Gaburro, Jean-Bernard Duchemin, Prasad N. Paradkar, Saeid Nahavandi, Asim Bhatti

Abstract

Widespread in the tropics, the mosquito Aedes aegypti is an important vector of many viruses, posing a significant threat to human health. Vector monitoring often requires fecundity estimation by counting eggs laid by female mosquitoes. Traditionally, manual data analyses have been used but this requires a lot of effort and is the methods are prone to errors. An easy tool to assess the number of eggs laid would facilitate experimentation and vector control operations. This study introduces a built-in software called ICount allowing automatic egg counting of the mosquito vector, Aedes aegypti. ICount egg estimation compared to manual counting is statistically equivalent, making the software effective for automatic and semi-automatic data analysis. This technique also allows rapid analysis compared to manual methods. Finally, the software has been used to assess p-cresol oviposition choices under laboratory conditions in order to test the system with different egg densities. ICount is a powerful tool for fast and precise egg count analysis, freeing experimenters from manual data processing. Software access is free and its user-friendly interface allows easy use by non-experts. Its efficiency has been tested in our laboratory with oviposition dual choices of Aedes aegypti females. The next step will be the development of a mobile application, based on the ICount platform, for vector monitoring surveys in the field.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Argentina 1 1%
Brazil 1 1%
Unknown 66 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 19%
Student > Master 12 17%
Student > Ph. D. Student 11 16%
Student > Doctoral Student 7 10%
Student > Bachelor 6 9%
Other 6 9%
Unknown 14 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 29%
Engineering 8 12%
Computer Science 6 9%
Environmental Science 4 6%
Biochemistry, Genetics and Molecular Biology 4 6%
Other 10 14%
Unknown 17 25%