ArticleeLife2017
Data-driven identification of potential Zika virus vectors.
Article in eLife, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses 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
42 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Exploring the Mosquito-Arbovirus Network: A Survey of Vector Competence Experiments.The American journal of tropical medicine and hygiene · 2023Pooled it
- A systematic review and evaluation of Zika virus forecasting and prediction research during a public health emergency of international concern.PLoS neglected tropical diseases · 2019Pooled it
- A Scoping Review of Machine Learning Applications Across Epidemiological Stages of Zoonotic Disease.Transboundary and emerging diseases · 2026Article
- Climate Adaptation and Genetic Differentiation in the Mosquito Species Culex tarsalis.Genome biology and evolution · 2025Article
- Exploring Iguape Virus-A Lesser-Known Orthoflavivirus.Viruses · 2024Review
- Beyond Borders: Investigating the Mysteries of Cacipacoré, a Lesser-Studied Arbovirus in Brazil.Viruses · 2024Article
- Network embedding unveils the hidden interactions in the mammalian virome.Patterns (New York, N.Y.) · 2023Article
- Temporal and Spatial Synchronicity in West Nile Virus Cases Along the Central Flyway, USA.GeoHealth · 2023Article
- Data-driven predictions of potential Leishmania vectors in the Americas.PLoS neglected tropical diseases · 2023Article
- Trends in Bacterial Pathogens of Bats: Global Distribution and Knowledge Gaps.Transboundary and emerging diseases · 2023Review
- Crowdsourced Perceptions of Human Behavior to Improve Computational Forecasts of US National Incident Cases of COVID-19: Survey Study.JMIR public health and surveillance · 2022Article
- Artificial Intelligence Models for Zoonotic Pathogens: A Survey.Microorganisms · 2022Review
- Optimising predictive models to prioritise viral discovery in zoonotic reservoirs.The Lancet. Microbe · 2022Review
- Robust network stability of mosquitoes and human pathogens of medical importance.Parasites & vectors · 2022Review
- A Data-driven Horizon Scan of Bacterial Pathogens at the Wildlife-livestock Interface.EcoHealth · 2022Article
- Article
- Research and Innovation Opportunities to Improve Epidemiological Knowledge and Control of Environmentally Driven Zoonoses.Annals of global health · 2022Review
- Landscape Composition Affects Elements of Metacommunity Structure for Culicidae Across South-Eastern Illinois.Frontiers in public health · 2022Article
- Rocio Virus: An Updated View on an Elusive Flavivirus.Viruses · 2021Review
- Recommended reporting items for epidemic forecasting and prediction research: The EPIFORGE 2020 guidelines.PLoS medicine · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Zika is an emerging virus whose rapid spread is of great public health concern. Knowledge about transmission remains incomplete, especially concerning potential transmission in geographic areas in which it has not yet been introduced. To identify unknown vectors of Zika, we developed a data-driven model linking vector species and the Zika virus via vector-virus trait combinations that confer a propensity toward associations in an ecological network connecting flaviviruses and their mosquito vectors. Our model predicts that thirty-five species may be able to transmit the virus, seven of which are found in the continental United States, including
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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.