ArticleParasites & vectors2019
A comparative assessment of adult mosquito trapping methods to estimate spatial patterns of abundance and community composition in southern Africa.
Article in Parasites & vectors, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.
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Who cites it
31 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.
- Which trap is best? Alternatives to outdoor human landing catches for malaria vector surveillance: a meta-analysis.Malaria journal · 2022Pooled it
- Trial
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- Comparison of Oviposition and Adult Trapping to Monitor wMel Introgression for Wolbachia-Based Vector Control.The American journal of tropical medicine and hygiene · 2026Article
- Species composition, abundance and seasonality of potential Rift Valley fever virus vectors in north-eastern KwaZulu-Natal province, South Africa.Parasites & vectors · 2026Article
- Mosquito seasonality and trap type evaluation using routine surveillance data from New Orleans, Louisiana, United States.PloS one · 2026Article
- Identification of insect-specific viruses in mosquitoes collected from wildlife and rural areas in north-eastern parts of South Africa using a metagenomic RNA sequencing approach.One health outlook · 2025Article
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- An AI-based gravitrap surveillance for spatial interaction analysis in predicting aedes risk.International journal of health geographics · 2025Article
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- Assessing Anopheles species collection techniques in a low malaria transmission area: implications for vector surveillance and control.Malaria journal · 2025Article
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- Defining the roles of local precipitation and anthropogenic water sources in driving the abundance of Aedes aegypti, an emerging disease vector in urban, arid landscapes.Scientific reports · 2024Article
- Environmental and geographical factors influence the occurrence and abundance of the southern house mosquito, Culex quinquefasciatus, in Hawai'i.Scientific reports · 2024Article
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- Alphaviruses Detected in Mosquitoes in the North-Eastern Regions of South Africa, 2014 to 2018.Viruses · 2023Article
- Effective population size ofFrontiers in genetics · 2023Article
- Survey of West Nile and Banzi Viruses in Mosquitoes, South Africa, 2011-2018.Emerging infectious diseases · 2023Article
- The MosHouseInsects · 2022Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 4 countries.
Funding
Abstract
backgroundAssessing adult mosquito populations is an important component of disease surveillance programs and ecosystem health assessments. Inference from adult trapping datasets involves comparing populations across space and time, but comparisons based on different trapping methods may be biased if traps have different efficiencies or sample different subsets of the mosquito community.
methodsWe compared four widely-used trapping methods for adult mosquito data collection in Kruger National Park (KNP), South Africa: Centers for Disease Control miniature light trap (CDC), Biogents Sentinel trap (BG), Biogents gravid Aedes trap (GAT) and a net trap. We quantified how trap choice and sampling effort influence inferences on the regional distribution of mosquito abundance, richness and community composition.
resultsThe CDC and net traps together collected 96% (47% and 49% individually) of the 955 female mosquitoes sampled and 100% (85% and 78% individually) of the 40 species or species complexes identified. The CDC and net trap also identified similar regional patterns of community composition. However, inference on the regional patterns of abundance differed between these traps because mosquito abundance in the net trap was influenced by variation in weather conditions. The BG and GAT traps collected significantly fewer mosquitoes, limiting regional comparisons of abundance and community composition.
conclusionsThis study represents the first systematic assessment of trapping methods in natural savanna ecosystems in southern Africa. We recommend the CDC trap or the net trap for future monitoring and surveillance programs.
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