A global assessment of surveillance methods for dominant malaria vectors

Abstract The epidemiology of human malaria differs considerably between and within geographic regions due, in part, to variability in mosquito species behaviours. Recently, the WHO emphasised stratifying interventions using local surveillance data to reduce malaria. The usefulness of vector surveill...

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Autores principales:	Bram van de Straat, Tanya L. Russell, Kyran M. Staunton, Marianne E. Sinka, Thomas R. Burkot
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/2e89dea7e97d40ddb827899b55d5a3f9
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id	oai:doaj.org-article:2e89dea7e97d40ddb827899b55d5a3f9
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spelling	oai:doaj.org-article:2e89dea7e97d40ddb827899b55d5a3f92021-12-02T16:06:44ZA global assessment of surveillance methods for dominant malaria vectors10.1038/s41598-021-94656-w2045-2322https://doaj.org/article/2e89dea7e97d40ddb827899b55d5a3f92021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-94656-whttps://doaj.org/toc/2045-2322Abstract The epidemiology of human malaria differs considerably between and within geographic regions due, in part, to variability in mosquito species behaviours. Recently, the WHO emphasised stratifying interventions using local surveillance data to reduce malaria. The usefulness of vector surveillance is entirely dependent on the biases inherent in the sampling methods deployed to monitor mosquito populations. To understand and interpret mosquito surveillance data, the frequency of use of malaria vector collection methods was analysed from a georeferenced vector dataset (> 10,000 data records), extracted from 875 manuscripts across Africa, the Americas and the Asia-Pacific region. Commonly deployed mosquito collection methods tend to target anticipated vector behaviours in a region to maximise sample size (and by default, ignoring other behaviours). Mosquito collection methods targeting both host-seeking and resting behaviours were seldomly deployed concurrently at the same site. A balanced sampling design using multiple methods would improve the understanding of the range of vector behaviours, leading to improved surveillance and more effective vector control.Bram van de StraatTanya L. RussellKyran M. StauntonMarianne E. SinkaThomas R. BurkotNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Bram van de Straat Tanya L. Russell Kyran M. Staunton Marianne E. Sinka Thomas R. Burkot A global assessment of surveillance methods for dominant malaria vectors
description	Abstract The epidemiology of human malaria differs considerably between and within geographic regions due, in part, to variability in mosquito species behaviours. Recently, the WHO emphasised stratifying interventions using local surveillance data to reduce malaria. The usefulness of vector surveillance is entirely dependent on the biases inherent in the sampling methods deployed to monitor mosquito populations. To understand and interpret mosquito surveillance data, the frequency of use of malaria vector collection methods was analysed from a georeferenced vector dataset (> 10,000 data records), extracted from 875 manuscripts across Africa, the Americas and the Asia-Pacific region. Commonly deployed mosquito collection methods tend to target anticipated vector behaviours in a region to maximise sample size (and by default, ignoring other behaviours). Mosquito collection methods targeting both host-seeking and resting behaviours were seldomly deployed concurrently at the same site. A balanced sampling design using multiple methods would improve the understanding of the range of vector behaviours, leading to improved surveillance and more effective vector control.
format	article
author	Bram van de Straat Tanya L. Russell Kyran M. Staunton Marianne E. Sinka Thomas R. Burkot
author_facet	Bram van de Straat Tanya L. Russell Kyran M. Staunton Marianne E. Sinka Thomas R. Burkot
author_sort	Bram van de Straat
title	A global assessment of surveillance methods for dominant malaria vectors
title_short	A global assessment of surveillance methods for dominant malaria vectors
title_full	A global assessment of surveillance methods for dominant malaria vectors
title_fullStr	A global assessment of surveillance methods for dominant malaria vectors
title_full_unstemmed	A global assessment of surveillance methods for dominant malaria vectors
title_sort	global assessment of surveillance methods for dominant malaria vectors
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/2e89dea7e97d40ddb827899b55d5a3f9
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A global assessment of surveillance methods for dominant malaria vectors

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