ReviewPLoS neglected tropical diseases2017
Internet-based biosurveillance methods for vector-borne diseases: Are they novel public health tools or just novelties?
Review in PLoS neglected tropical diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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.
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
14 citing papers in PubMed, 1 synthesis or guideline pooled 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
- Rethinking Dengue Preparedness in the Era of Climate Change, Urbanisation, and Digital Health: A Structured Narrative Review.Medicina (Kaunas, Lithuania) · 2026Review
- Leveraging machine learning approaches for predicting potential Lyme disease cases and incidence rates in the United States using Twitter.BMC medical informatics and decision making · 2023Article
- An effective internet-based system for surveillance and elimination of triatomine insects: AlertaChirimacha.PLoS neglected tropical diseases · 2023Article
- Twitter trends in #Parasitology determined by text mining and topic modelling.Current research in parasitology & vector-borne diseases · 2023Article
- Article
- Understanding Mosquito Surveillance Data for Analytic Efforts: A Case Study.Journal of medical entomology · 2021Review
- Known and Unknown Transboundary Infectious Diseases as Hybrid Threats.Frontiers in public health · 2021Article
- COVID-Scraper: An Open-Source Toolset for Automatically Scraping and Processing Global Multi-Scale Spatiotemporal COVID-19 Records.IEEE access : practical innovations, open solutions · 2021Article
- Investigating the utility of Google trends for Zika and Chikungunya surveillance in Venezuela.BMC public health · 2020Article
- Google Health Trends performance reflecting dengue incidence for the Brazilian states.BMC infectious diseases · 2020Article
- EpiExploreR: A Shiny Web Application for the Analysis of Animal Disease Data.Microorganisms · 2019Article
- Risk assessment strategies for early detection and prediction of infectious disease outbreaks associated with climate change.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2019Article
- Supporting and strengthening research on urban health interventions for the prevention and control of vector-borne and other infectious diseases of poverty: scoping reviews and research gap analysis.Infectious diseases of poverty · 2018Article
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
No grant is acknowledged in the PubMed record.
Abstract
Internet-based surveillance methods for vector-borne diseases (VBDs) using "big data" sources such as Google, Twitter, and internet newswire scraping have recently been developed, yet reviews on such "digital disease detection" methods have focused on respiratory pathogens, particularly in high-income regions. Here, we present a narrative review of the literature that has examined the performance of internet-based biosurveillance for diseases caused by vector-borne viruses, parasites, and other pathogens, including Zika, dengue, other arthropod-borne viruses, malaria, leishmaniasis, and Lyme disease across a range of settings, including low- and middle-income countries. The fundamental features, advantages, and drawbacks of each internet big data source are presented for those with varying familiarity of "digital epidemiology." We conclude with some of the challenges and future directions in using internet-based biosurveillance for the surveillance and control of VBD.
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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.