ArticleParasitology2012
New technologies for reporting real-time emergent infections.
Article in Parasitology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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
22 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Using internet-based query and climate data to predict climate-sensitive infectious disease risks: a systematic review of epidemiological evidence.International journal of biometeorology · 2021Pooled it
- Web-based infectious disease surveillance systems and public health perspectives: a systematic review.BMC public health · 2016Pooled it
- Self-care strategies and interventions to address antimicrobial resistance: evidence review and recommendations for national programs, service providers, caregivers, and self-carers.Frontiers in public health · 2026Review
- Developing public health surveillance dashboards: a scoping review on the design principles.BMC public health · 2024Article
- Article
- Implementing a digital system for contact tracing and case investigation during COVID-19 pandemic in San Francisco: a qualitative study.JAMIA open · 2021Article
- An integrated biosensor system with mobile health and wastewater-based epidemiology (iBMW) for COVID-19 pandemic.Biosensors & bioelectronics · 2020Article
- Ontology-Based Healthcare Named Entity Recognition from Twitter Messages Using a Recurrent Neural Network Approach.International journal of environmental research and public health · 2019Article
- Ethical Considerations for Movement Mapping to Identify Disease Transmission Hotspots.Emerging infectious diseases · 2019Article
- Saúde na Copa: The World's First Application of Participatory Surveillance for a Mass Gathering at FIFA World Cup 2014, Brazil.JMIR public health and surveillance · 2017Article
- The disease of corruption: views on how to fight corruption to advance 21BMC medicine · 2016Article
- Taking mHealth Forward: Examining the Core Characteristics.JMIR mHealth and uHealth · 2016Article
- Results from the centers for disease control and prevention's predict the 2013-2014 Influenza Season Challenge.BMC infectious diseases · 2016Article
- Experiences with a voluntary surveillance system for early detection of equine diseases in Switzerland.Epidemiology and infection · 2016Article
- Introduction of Mobile Health Tools to Support Ebola Surveillance and Contact Tracing in Guinea.Global health, science and practice · 2015Article
- Technology and Data Collection in Chronic Disease Epidemiology.Preventing chronic disease · 2015Article
- Ebola Virus Disease: Rapid Diagnosis and Timely Case Reporting are Critical to the Early Response for Outbreak Control.The American journal of tropical medicine and hygiene · 2015Article
- Surveillance for Neisseria meningitidis Disease Activity and Transmission Using Information Technology.PloS one · 2015Article
- Internet-based surveillance systems for monitoring emerging infectious diseases.The Lancet. Infectious diseases · 2014Review
- Internet search patterns of human immunodeficiency virus and the digital divide in the Russian Federation: infoveillance study.Journal of medical Internet research · 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
3 authors.
Funding
Abstract
Novel technologies have prompted a new paradigm in disease surveillance. Advances in computation, communications and materials enable new technologies such as mobile phones and microfluidic chips. In this paper we illustrate examples of new technologies that can augment disease detection. We describe technologies harnessing the internet, mobile phones, point of care diagnostic tools and methods that facilitate detection from passively collected unstructured data. We demonstrate how these can all assist in quicker detection, investigation and response to emerging infectious events. Novel technologies enable collection and dissemination of epidemic intelligence data to both public health practitioners and the general public, enabling finer temporal and spatial resolution of disease monitoring than through traditional public health processes.
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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.