ArticleEnvironmental modelling & software : with environment data news2015
Integrating modelling and smart sensors for environmental and human health.
Article in Environmental modelling & software : with environment data news, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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
14 citing papers in PubMed.
- Evaluating Ensemble Learning Methods for Multi-Modal Emotion Recognition Using Sensor Data Fusion.Sensors (Basel, Switzerland) · 2022Article
- A tutorial on the case time series design for small-area analysis.BMC medical research methodology · 2022Article
- A randomized cross-over trial investigating differences in 24-h personal air and skin temperatures using wearable sensors between two climatologically contrasting settings.Scientific reports · 2021Article
- Perspectives of individual-worn sensors assessing personal environmental exposure.Engineering (Beijing, China) · 2020Article
- Environmental Health Surveillance System for a Population Using Advanced Exposure Assessment.Toxics · 2020Review
- Low-Cost Sensors for Urban Noise Monitoring Networks-A Literature Review.Sensors (Basel, Switzerland) · 2020Review
- Perceptions and experiences of outdoor occupational workers using digital devices for geospatial biometeorological monitoring.International journal of biometeorology · 2020Article
- The Use of the Internet of Things for Estimating Personal Pollution Exposure.International journal of environmental research and public health · 2019Article
- Big Data in occupational medicine: the convergence of -omics sciences, participatory research and e-health.La Medicina del lavoro · 2019Article
- The impact of particulate matter on allergy risk among adults: integrated exposure assessment.Environmental science and pollution research international · 2019Article
- An Ontology-Driven Approach for Integrating Intelligence to Manage Human and Ecological Health Risks in the Geospatial Sensor Web.Sensors (Basel, Switzerland) · 2018Article
- Accurate Indoor Sound Level Measurement on a Low-Power and Low-Cost Wireless Sensor Node.Sensors (Basel, Switzerland) · 2018Article
- Developing Multipollutant Exposure Indicators of Traffic Pollution: The Dorm Room Inhalation to Vehicle Emissions (DRIVE) Study.Research report (Health Effects Institute) · 2018Article
- Real-Time Social Data Collection in Rural Bangladesh via a 'Microtasks for Micropayments' Platform on Android Smartphones.PloS one · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
Sensors are becoming ubiquitous in everyday life, generating data at an unprecedented rate and scale. However, models that assess impacts of human activities on environmental and human health, have typically been developed in contexts where data scarcity is the norm. Models are essential tools to understand processes, identify relationships, associations and causality, formalize stakeholder mental models, and to quantify the effects of prevention and interventions. They can help to explain data, as well as inform the deployment and location of sensors by identifying hotspots and areas of interest where data collection may achieve the best results. We identify a paradigm shift in how the integration of models and sensors can contribute to harnessing 'Big Data' and, more importantly, make the vital step from 'Big Data' to 'Big Information'. In this paper, we illustrate current developments and identify key research needs using human and environmental health challenges as an example.
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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.