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Integrating modelling and smart sensors for environmental and human health

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dc.contributor.authorReis, S.
dc.contributor.authorSeto, E.
dc.contributor.authorNorthcross, A.
dc.contributor.authorQuinn, N.
dc.contributor.authorConvertino, M.
dc.contributor.authorJones, R.
dc.contributor.authorMaier, H.
dc.contributor.authorSchlink, U.
dc.contributor.authorSteinle, S.
dc.contributor.authorVieno, M.
dc.contributor.authorWimberly, M.
dc.date.issued2015
dc.description.abstractat 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.
dc.description.statementofresponsibilityStefan Reis, Edmund Seto, Amanda Northcross, Nigel W.T. Quinn, Matteo Convertino, Rod L. Jones, Holger R. Maier, Uwe Schlink, Susanne Steinle, Massimo Vieno, Michael C. Wimberly
dc.identifier.citationEnvironmental Modelling & Software, 2015; 74:238-246
dc.identifier.doi10.1016/j.envsoft.2015.06.003
dc.identifier.issn1364-8152
dc.identifier.issn1873-6726
dc.identifier.orcidMaier, H. [0000-0002-0277-6887]
dc.identifier.urihttp://hdl.handle.net/2440/96796
dc.language.isoen
dc.publisherElsevier
dc.rightsCrown Copyright © 2015 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND licensehttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.source.urihttps://doi.org/10.1016/j.envsoft.2015.06.003
dc.subjectIntegrated modelling; Environmental sensors; Population health; Environmental health; Big data
dc.titleIntegrating modelling and smart sensors for environmental and human health
dc.typeJournal article
pubs.publication-statusPublished

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