MétaCan
Menu
Back to cohort
Record W2047918586 · doi:10.1016/s2214-109x(13)70020-2

Health effects of exposure to e-waste

2013· letter· en· W2047918586 on OpenAlex
Marie Noel-Brune, Fiona C Goldizen, María Neira, Martin van den Berg, Nancy Davis Lewis, Malcolm King, William A. Suk, David O. Carpenter, Robert G. Arnold, Peter D. Sly

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueThe Lancet Global Health · 2013
Typeletter
Languageen
FieldEnvironmental Science
TopicRecycling and Waste Management Techniques
Canadian institutionsCanadian Institutes of Health ResearchSimon Fraser UniversityInstitute of Indigenous Peoples' Health
FundersCanadian Institutes of Health ResearchSimon Fraser UniversityUniversiteit UtrechtRensselaer Polytechnic InstituteUniversity of QueenslandChildren's Medical Research
KeywordsScopusElectronic wasteBusinessWaste managementCleaner productionEnvironmental scienceEnvironmental impact assessmentDumpingProduction (economics)Municipal solid wasteEnvironmental healthEnvironmental protectionEngineeringMedicineMEDLINEPolitical scienceEconomics

Abstract

fetched live from OpenAlex

Discarded electrical and electronic equipment and components, known collectively as e-waste, are the most rapidly increasing sources of waste worldwide.1Lundgren K for the International Labour OfficeThe global impact of e-waste: addressing the challenge. International Labour Office, Geneva2012Google Scholar Most e-waste is disposed of in landfills, but recycling efforts occur to recover valuable materials.2Robinson BH E-waste: an assessment of global production and environmental impacts.Sci Total Environ. 2009; 408: 183-191Crossref PubMed Scopus (1253) Google Scholar Exposure to e-waste might occur directly via recycling or indirectly via ecological exposure.2Robinson BH E-waste: an assessment of global production and environmental impacts.Sci Total Environ. 2009; 408: 183-191Crossref PubMed Scopus (1253) Google Scholar A large proportion of e-waste is shipped to less developed countries for dumping or recycling.3UN Environment ProgrammeE-waste, volume 1: inventory assessment manual. UN Environment Programme, Nairobi2007Google Scholar Much e-waste recycling occurs in the informal sector, in homes where women and children are engaged in unsafe recycling practices without the benefit or the knowledge of exposure-minimising technology or protective equipment.1Lundgren K for the International Labour OfficeThe global impact of e-waste: addressing the challenge. International Labour Office, Geneva2012Google Scholar High levels of environmental contamination can occur from e-waste recycling, putting residents in surrounding areas at risk of ecological exposure via inhalation or ingestion of contaminated water, air, and food supplies.1Lundgren K for the International Labour OfficeThe global impact of e-waste: addressing the challenge. International Labour Office, Geneva2012Google Scholar In addition to risks of injuries, potential exposures include the original constituents of the equipment, substances added during the recovery process, and substances formed as a result of the recycling process.1Lundgren K for the International Labour OfficeThe global impact of e-waste: addressing the challenge. International Labour Office, Geneva2012Google Scholar, 2Robinson BH E-waste: an assessment of global production and environmental impacts.Sci Total Environ. 2009; 408: 183-191Crossref PubMed Scopus (1253) Google Scholar Thus, although the toxicity of the original components might be known, workers and residents are likely to be exposed to complex mixtures of unknown toxicity. Concern about the effects on health of chemical exposure to e-waste and e-waste recycling is increasing despite the paucity of solid research. Reported adverse effects include: fetal loss, prematurity, low birthweight, and congenital malformations; abnormal thyroid function and thyroid development; neurobehavioural disturbances; and genotoxicity.1Lundgren K for the International Labour OfficeThe global impact of e-waste: addressing the challenge. International Labour Office, Geneva2012Google Scholar, 2Robinson BH E-waste: an assessment of global production and environmental impacts.Sci Total Environ. 2009; 408: 183-191Crossref PubMed Scopus (1253) Google Scholar However, few direct studies have been undertaken. Children and developing fetuses are particularly susceptible and evidence of adverse effects in early life via ecological exposure is increasing.2Robinson BH E-waste: an assessment of global production and environmental impacts.Sci Total Environ. 2009; 408: 183-191Crossref PubMed Scopus (1253) Google Scholar In response to the lack of specific data and little awareness from public health on the effect of e-waste on children's health, the WHO department of Public Health and Environment (PHE) is developing a specific plan of action. This initiative includes raising awareness of and communicating the problem, developing training methods and programmes for health professionals, encouraging specific research about e-waste, and gathering interested stakeholders to move this issue forward. The initiative will be officially launched at the 15th international conference of the Pacific Basin Consortium for the Environment and Health (PBC), to be held at the East-West Center, Honolulu, HI, USA, Sept 24–27, 2013, and continues the collaborative efforts of PHE, the PBC, and the US National Institute of Environmental Health Sciences in children's environmental health.4Suk WA Ruchirawat KM Balakrishnan K et al.Environmental threats to children's health in Southeast Asia and the Western Pacific.Environ Health Perspect. 2003; 111: 1340-1347Crossref PubMed Scopus (64) Google Scholar, 5Gavidia T Brune MN McCarty KM et al.Children's environmental health—from knowledge to action.Lancet. 2011; 377: 1134-1136Summary Full Text Full Text PDF PubMed Scopus (13) Google Scholar The conference is open to the scientific community and others who wish to attend. We declare that we have no conflicts of interest. MN-B and MN are staff members of WHO. They are responsible for the views expressed in this publication, which do not necessarily represent the decisions, policy, or views of WHO.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.051
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.298
Teacher spread0.283 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it