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Standardizing operational vector sampling techniques for measuring malaria transmission intensity: evaluation of six mosquito collection methods in western Kenya

Overview of attention for article published in Malaria Journal, April 2013
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181 Mendeley
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Title
Standardizing operational vector sampling techniques for measuring malaria transmission intensity: evaluation of six mosquito collection methods in western Kenya
Published in
Malaria Journal, April 2013
DOI 10.1186/1475-2875-12-143
Pubmed ID
Authors

Jacklyn Wong, Nabie Bayoh, George Olang, Gerry F Killeen, Mary J Hamel, John M Vulule, John E Gimnig

Abstract

Operational vector sampling methods lack standardization, making quantitative comparisons of malaria transmission across different settings difficult. Human landing catch (HLC) is considered the research gold standard for measuring human-mosquito contact, but is unsuitable for large-scale sampling. This study assessed mosquito catch rates of CDC light trap (CDC-LT), Ifakara tent trap (ITT), window exit trap (WET), pot resting trap (PRT), and box resting trap (BRT) relative to HLC in western Kenya to 1) identify appropriate methods for operational sampling in this region, and 2) contribute to a larger, overarching project comparing standardized evaluations of vector trapping methods across multiple countries.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 181 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Tanzania, United Republic of 1 <1%
Ecuador 1 <1%
Ghana 1 <1%
United Kingdom 1 <1%
New Zealand 1 <1%
United States 1 <1%
Unknown 175 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 37 20%
Student > Ph. D. Student 32 18%
Student > Master 30 17%
Student > Bachelor 15 8%
Other 11 6%
Other 28 15%
Unknown 28 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 60 33%
Medicine and Dentistry 22 12%
Biochemistry, Genetics and Molecular Biology 20 11%
Environmental Science 10 6%
Nursing and Health Professions 7 4%
Other 25 14%
Unknown 37 20%