ArticleInsects2022
Integrating Global Citizen Science Platforms to Enable Next-Generation Surveillance of Invasive and Vector Mosquitoes.
Article in Insects, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Article
- Present and Future of Mosquito-Borne Disease Control in Europe with a Specific Focus on the Mediterranean.Insects · 2026Review
- Evaluating AI-based mosquito monitoring technologies: a field study in Zhejiang Province, 2025.Frontiers in veterinary science · 2026Article
- The role of citizen science in mosquito-borne disease surveillance and control: A scoping review.PloS one · 2026Article
- How technologies are driving digital innovation in mosquito surveillance systems: a global scoping review over the past decade.BMJ public health · 2026Article
- Artificial Intelligence and Citizen Science as a Tool for Global Mosquito Surveillance: Madagascar Case Study.Insects · 2025Article
- Article
- From Bites to Bytes: Evaluating User Engagement and Mosquito Bite Exposure Patterns with the Bite Diary Smartphone Application.The American journal of tropical medicine and hygiene · 2025Article
- Machine learning in healthcare citizen science: A scoping review.International journal of medical informatics · 2025Article
- Online Crowdsourced Data from iNaturalist Can Assist Monitoring of Invasive Mosquitoes.Insects · 2025Article
- Pathogens and planetary change.Nature reviews. Biodiversity · 2025Article
- Larviciding for malaria control and elimination in Africa.Malaria journal · 2025Review
- Assessing and correcting neighborhood socioeconomic spatial sampling biases in citizen science mosquito data collection.Scientific reports · 2024Article
- New Insights into Rabbit Viral Diseases.Viruses · 2024Article
- Robust mosquito species identification from diverse body and wing images using deep learning.Parasites & vectors · 2024Article
- A regional One Health approach to the risk of invasion by Anopheles stephensi in Mauritius.PLoS neglected tropical diseases · 2024Article
- Article
- An optical system to detect, surveil, and kill flying insect vectors of human and crop pathogens.Scientific reports · 2024Article
- Classifying stages in the gonotrophic cycle of mosquitoes from images using computer vision techniques.Scientific reports · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
Abstract
Mosquito-borne diseases continue to ravage humankind with >700 million infections and nearly one million deaths every year. Yet only a small percentage of the >3500 mosquito species transmit diseases, necessitating both extensive surveillance and precise identification. Unfortunately, such efforts are costly, time-consuming, and require entomological expertise. As envisioned by the Global Mosquito Alert Consortium, citizen science can provide a scalable solution. However, disparate data standards across existing platforms have thus far precluded truly global integration. Here, utilizing Open Geospatial Consortium standards, we harmonized four data streams from three established mobile apps—Mosquito Alert, iNaturalist, and GLOBE Observer’s Mosquito Habitat Mapper and Land Cover—to facilitate interoperability and utility for researchers, mosquito control personnel, and policymakers. We also launched coordinated media campaigns that generated unprecedented numbers and types of observations, including successfully capturing the first images of targeted invasive and vector species. Additionally, we leveraged pooled image data to develop a toolset of artificial intelligence algorithms for future deployment in taxonomic and anatomical identification. Ultimately, by harnessing the combined powers of citizen science and artificial intelligence, we establish a next-generation surveillance framework to serve as a united front to combat the ongoing threat of mosquito-borne diseases worldwide.
Indexed as
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What OpenQuestion holds
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.