Comparison of three catching methods for collecting anopheline mosquitoes

Marquetti, María del Carmen; Navarro, Augustin; Bisset, Juan A.; García, Fernando Cano

doi:10.1590/s0074-02761992000300023

Cited by 6 publications

(5 citation statements)

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“…Different Anopheles species are known to respond differently to LT. Studies of Cuban [25], Brazilian [26], Papua New Guinean (PNG) [27, 53] and Venezuelan [28] vectors have found LT to catch far fewer Anopheles than HLC, while with other vectors (in particular in a study of Anopheles fluviatilis in India [29] and another study of Malaysian vectors [30]) relative trapping efficacy has proven highly variable. In general, LT have been used mainly to capture African malaria vectors for which they appear to be relatively reliable, but a single mosquito taxon may react to LT very differently in nearby locations.…”

Section: Resultsmentioning

confidence: 99%

Applications and limitations of Centers for Disease Control and Prevention miniature light traps for measuring biting densities of African malaria vector populations: a pooled-analysis of 13 comparisons with human landing catches

Briët

Huho

Gimnig

et al. 2015

Malar J

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BackgroundMeasurement of densities of host-seeking malaria vectors is important for estimating levels of disease transmission, for appropriately allocating interventions, and for quantifying their impact. The gold standard for estimating mosquito—human contact rates is the human landing catch (HLC), where human volunteers catch mosquitoes that land on their exposed body parts. This approach necessitates exposure to potentially infectious mosquitoes, and is very labour intensive. There are several safer and less labour-intensive methods, with Centers for Disease Control light traps (LT) placed indoors near occupied bed nets being the most widely used.MethodsThis paper presents analyses of 13 studies with paired mosquito collections of LT and HLC to evaluate these methods for their consistency in sampling indoor-feeding mosquitoes belonging to the two major taxa of malaria vectors across Africa, the Anopheles gambiae sensu lato complex and the Anopheles funestus s.l. group. Both overall and study-specific sampling efficiencies of LT compared with HLC were computed, and regression methods that allow for the substantial variations in mosquito counts made by either method were used to test whether the sampling efficacy varies with mosquito density.ResultsGenerally, LT were able to collect similar numbers of mosquitoes to the HLC indoors, although the relative sampling efficacy, measured by the ratio of LT:HLC varied considerably between studies. The overall best estimate for An. gambiae s.l. was 1.06 (95% credible interval: 0.68–1.64) and for An. funestus s.l. was 1.37 (0.70–2.68). Local calibration exercises are not reproducible, since only in a few studies did LT sample proportionally to HLC, and there was no geographical pattern or consistent trend with average density in the tendency for LT to either under- or over-sample.ConclusionsLT are a crude tool at best, but are relatively easy to deploy on a large scale. Spatial and temporal variation in mosquito densities and human malaria transmission exposure span several orders of magnitude, compared to which the inconsistencies of LT are relatively small. LT, therefore, remain an invaluable and safe alternative to HLC for measuring indoor malaria transmission exposure in Africa.Electronic supplementary materialThe online version of this article (doi:10.1186/s12936-015-0761-9) contains supplementary material, which is available to authorized users.

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Section: Resultsmentioning

confidence: 99%

Applications and limitations of Centers for Disease Control and Prevention miniature light traps for measuring biting densities of African malaria vector populations: a pooled-analysis of 13 comparisons with human landing catches

Briët

Huho

Gimnig

et al. 2015

Malar J

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“…Other studies of a range of species in Cuba (Marquetti et al, 1992), Sabah (Hii et al, 1986), central Africa (Carnevale, 1973(Carnevale, , 1974, east Africa (Lines et al, 1991;Mbogo et al, 1993;Githeko et al, 1994) and Venezuela (Rubio-Palis & Curtis, 1992;Rubio-Palis, 1996) have also found that light traps catch fewer anophelines than human bait, although the relative efficiency of the two methods can vary considerably. Of 11 species caught in Western Venezuela, only Anopheles neomaculipalpus Curry was caught at similar rates in light traps and on human bait (Rubio-Palis, 1996).…”

Section: Discussionmentioning

confidence: 97%

Comparison between anopheline mosquitoes (Diptera: Culicidae) caught using different methods in a malaria endemic area of Papua New Guinea

Hii

Smith

Mai

et al. 2000

Bull. Entomol. Res.

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The mosquito sampling efficiency of CDC (Centers for Disease Control) miniature light traps hung adjacent to mosquito nets, was compared with that of both indoor and outdoor human-bait collections in ten villages in the Wosera area of Papua New Guinea. The most frequently collected anopheline in the matched indoor and light trap samples was Anopheles koliensis Owen, followed by A. punctulatus Dönitz, A. karwari (James), A. farauti Laveran (sensu lato), A. longirostris Brug and A. bancroftii Giles. All species were much less frequent in the light traps than in landing catches. The hypothesis that the numbers of mosquitoes in light traps are proportional to human landing catches was examined using regression models that allowed for sampling error in both entomological measurements. Light traps under-sampled A. punctulatus and A. farauti s.l. at high densities. The models indicated that the ratio of light trap to landing catch females of A. koliensis and A. karwari increased with increasing mosquito density. Light trap catches of A. longirostris were proportional to indoor landing rates but when outdoor landing rates were high this species was under-sampled by light traps. Numbers of A. bancroftii in light traps were found to be proportional to those in outdoor landing catches, but were negatively related to those attempting to bite indoors. Circumsporozoite positivity rates for both Plasmodium falciparum Welch and P. vivax (Grassi & Feletti) in A. punctulatus and A. farauti s.l. were significantly higher in light trap collections than in either indoor or outdoor landing catches, suggesting that light traps may selectively sample older mosquitoes of these species.

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“…Zimmerman (1992) reported that the seasonal increase in anophelines is regulated by the abundance of breeding sites being it directly related to the rainfall. Several studies reported the same phenomenon, with highest densities of anophelines being observed during the rainy season (Marquetti et al, 1992;Xavier & Rebêlo, 1999;Moreno et al, 2002, Barros & Honório, 2007.…”

Section: Discussionmentioning

confidence: 72%

“…Several studies have shown that climatic factors affect the population dynamics of anopheline mosquitoes (Póvoa et al, 2001;Silva-Vasconcelos et al, 2002;Marquetti et al, 1992;Xavier & Rebêlo, 1999;Moreno et al, 2002). The Roraima State presents two climatic seasons: rainy period (May to September) and dry period (October to April) (Chaves & Rodrigues, 2000).…”

Section: Discussionmentioning

confidence: 99%

Structure of Anopheles (Diptera: Culicidae) population in areas with different degrees of human settlement: Cantá - Roraima - Brazil

et al. 2008

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Comparison of three catching methods for collecting anopheline mosquitoes

Cited by 6 publications

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Applications and limitations of Centers for Disease Control and Prevention miniature light traps for measuring biting densities of African malaria vector populations: a pooled-analysis of 13 comparisons with human landing catches

Applications and limitations of Centers for Disease Control and Prevention miniature light traps for measuring biting densities of African malaria vector populations: a pooled-analysis of 13 comparisons with human landing catches

Comparison between anopheline mosquitoes (Diptera: Culicidae) caught using different methods in a malaria endemic area of Papua New Guinea

Structure of Anopheles (Diptera: Culicidae) population in areas with different degrees of human settlement: Cantá - Roraima - Brazil

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