ArticlePloS one2012
Spatially explicit analyses of anopheline mosquitoes indoor resting density: implications for malaria control.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
14 citing papers in PubMed, 18 citations in OpenAlex.
- Contrasting Oviposition Preference Despite Limited Chemosensory Receptor Gene Differentiation in Two Cryptic Anopheles Species.Molecular ecology · 2026Article
- Continuous mark-release recapture to improve estimates of movement and survival of the African malaria mosquitoes.bioRxiv : the preprint server for biology · 2026Article
- Host preference patterns in domestic and wild settings: Insights intoEvolutionary applications · 2024Article
- Anopheles gambiae larvae's ability to grow and emerge in water containing lethal concentrations of clothianidin, acetamiprid, or imidacloprid is consistent with cross-resistance to neonicotinoids.Parasites & vectors · 2024Article
- Article
- Characterization of the spatial distribution of alfalfa weevil, Hypera postica, and its natural enemies, using geospatial models.Pest management science · 2021Article
- Integrated Mosquito Management: Is Precision Control a Luxury or Necessity?Trends in parasitology · 2019Review
- Modelling hotspots of the two dominant Rift Valley fever vectors (Aedes vexans and Culex poicilipes) in Barkédji, Sénégal.Parasites & vectors · 2016Article
- Characterization of spatial distribution of Tetranychus urticae in peppermint in California and implication for improving sampling plan.Experimental & applied acarology · 2016Article
- Article
- Epidemiological analysis, detection, and comparison of space-time patterns of Beijing hand-foot-mouth disease (2008-2012).PloS one · 2014Article
- Seasonal variation in spatial distributions of Anopheles gambiae in a Sahelian village: evidence for aestivation.Journal of medical entomology · 2014Article
- Spatiotemporal patterns of Japanese encephalitis in China, 2002-2010.PLoS neglected tropical diseases · 2013Article
- Heterogeneity, mixing, and the spatial scales of mosquito-borne pathogen transmission.PLoS computational biology · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 3 countries.
Funding
Abstract
backgroundThe question of sampling and spatial aggregation of malaria vectors is central to vector control efforts and estimates of transmission. Spatial patterns of anopheline populations are complex because mosquitoes' habitats and behaviors are strongly heterogeneous. Analyses of spatially referenced counts provide a powerful approach to delineate complex distribution patterns, and contributions of these methods in the study and control of malaria vectors must be carefully evaluated. METHODOLOGY/PRINCIPAL
findingsWe used correlograms, directional variograms, Local Indicators of Spatial Association (LISA) and the Spatial Analysis by Distance IndicEs (SADIE) to examine spatial patterns of Indoor Resting Densities (IRD) in two dominant malaria vectors sampled with a 5 × 5 km grid over a 2500 km(2) area in the forest domain of Cameroon. SADIE analyses revealed that the distribution of Anopheles gambiae was different from regular or random, whereas there was no evidence of spatial pattern in Anopheles funestus (Ia = 1.644, Pa<0.05 and Ia = 1.464, Pa>0.05, respectively). Correlograms and variograms showed significant spatial autocorrelations at small distance lags, and indicated the presence of large clusters of similar values of abundance in An. gambiae while An. funestus was characterized by smaller clusters. The examination of spatial patterns at a finer spatial scale with SADIE and LISA identified several patches of higher than average IRD (hot spots) and clusters of lower than average IRD (cold spots) for the two species. Significant changes occurred in the overall spatial pattern, spatial trends and clusters when IRDs were aggregated at the house level rather than the locality level. All spatial analyses unveiled scale-dependent patterns that could not be identified by traditional aggregation indices. CONCLUSIONS/SIGNIFICANCE: Our study illustrates the importance of spatial analyses in unraveling the complex spatial patterns of malaria vectors, and highlights the potential contributions of these methods in malaria control.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.