ArticleScientific reports2018
Monitoring the Age of Mosquito Populations Using Near-Infrared Spectroscopy.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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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
39 citing papers in PubMed, 80 citations in OpenAlex.
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- Deadliest Animals with the Thinnest Wings: Near-Infrared Properties of Tropical Mosquitoes.Applied spectroscopy · 2025Article
- Pixel intensity of wing photos used to infer efficacy of mosquito control interventions against Anopheles gambiae caught during the RIMDAMAL II clinical trial.Scientific reports · 2025Article
- Exploring near-infrared spectroscopy ability to predict the age and species of Anopheles gambiae sensu lato mosquitoes from different environmental conditions in Burkina Faso.Malaria journal · 2025Article
- Automated age grading of female Culex pipiens by an optical sensor system coupled to a mosquito trap.Parasites & vectors · 2024Article
- Predicting the age of fieldScience advances · 2024Article
- Rapid assessment of the blood-feeding histories of wild-caught malaria mosquitoes using mid-infrared spectroscopy and machine learning.Malaria journal · 2024Article
- Rapid classification of epidemiologically relevant age categories of the malaria vector, Anopheles funestus.Parasites & vectors · 2024Article
- DengueFog: A Fog Computing-Enabled Weighted Random Forest-Based Smart Health Monitoring System for Automatic Dengue Prediction.Diagnostics (Basel, Switzerland) · 2024Article
- Age, sex, and mating status discrimination in the sand fly Lutzomyia longipalpis using near infra-red spectroscopy (NIRS).Parasites & vectors · 2024Article
- Evaluation of diffuse reflectance spectroscopy for predicting age, species, and cuticular resistance of Anopheles gambiae s.l under laboratory conditions.Scientific reports · 2023Article
- Life expectancy of Anopheles funestus is double that of Anopheles arabiensis in southeast Tanzania based on mark-release-recapture method.Scientific reports · 2023Article
- Drivers of longevity of wild-caught Aedes albopictus populations.Parasites & vectors · 2023Article
- Accurate age-grading of field-aged mosquitoes reared under ambient conditions using surface-enhanced Raman spectroscopy and artificial neural networks.Journal of medical entomology · 2023Article
- Deep learning and wing interferential patterns identify Anopheles species and discriminate amongst Gambiae complex species.Scientific reports · 2023Article
- Nondestructive Methods of Pathogen Detection: Importance of Mosquito Integrity in Studies of Disease Transmission and Control.Pathogens (Basel, Switzerland) · 2023Review
- Remote Nanoscopy with Infrared Elastic Hyperspectral Lidar.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Article
Corrections and comments
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Authors and funding
6 authors at 6 institutions in 4 countries.
Funding
Abstract
Mosquito control with bednets, residual sprays or fumigation remains the most effective tool for preventing vector-borne diseases such as malaria, dengue and Zika, though there are no widely used entomological methods for directly assessing its efficacy. Mosquito age is the most informative metric for evaluating interventions that kill adult mosquitoes but there is no simple or reliable way of measuring it in the field. Near-Infrared Spectroscopy (NIRS) has been shown to be a promising, high-throughput method that can estimate the age of mosquitoes. Currently the ability of NIRS to measure mosquito age is biased, and has relatively high individual mosquito measurement error, though its capacity to rigorously monitor mosquito populations in the field has never been assessed. In this study, we use machine learning methods from the chemometric literature to generate more accurate, unbiased estimates of individual mosquito age. These unbiased estimates produce precise population-level measurements, which are relatively insensitive to further increases in NIRS accuracy when feasible numbers of mosquitoes are sampled. The utility of NIRS to directly measure the impact of pyrethroid resistance on mosquito control is illustrated, showing how the technology has potential as a highly valuable tool for directly assessing the efficacy of mosquito control interventions.
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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.