The DOI matches its Crossref record.
An Analysis of Contaminated Well Water and Health Effects in Woburn, Massachusetts
Abstract
In 1979, two of the eight municipal wells servicing Woburn, Massachusetts, were discovered to be contaminated with several chlorinated organics. Shortly afterwards, the town was found to have an elevated rate of childhood leukemia. Using recent information about the space—time distribution of water from the two contaminated wells, we find positive statistical associations between access to this water and the incidence rates of childhood leukemia, perinatal deaths (1970–1982), two of five categories of congenital anomalies, and two of nine categories of childhood disorders. We find no associations with spontaneous abortions, low birth weight, or the other categories of congenital anomalies and childhood disorders. This article discussed these results and other features of the data relevant to their interpretation.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Popular Epidemiology and Toxic Waste Contamination: Lay and Professional Ways of Knowing
Brown, P. (1992) · Journal of Health and Social Behavior · doi:10.2307/2137356 · Cited by 658
Vrijheid, M. (2000) · Environmental Health Perspectives · doi:10.1289/ehp.00108s1101 · Cited by 357
Neurobehavioral effects of exposure to trichloroethylene through a municipal water supply
Reif, J. S., Burch, J. B., Nuckols, J. R., Metzger, L., Ellington, D., & Anger, W. K. (2003) · Environmental Research · doi:10.1016/s0013-9351(03)00131-2 · Cited by 68
Metadata
- Authors
- Lagakos, S. W., Wessen, B. J., & Zelen, M.
- Venue
- Journal of the American Statistical Association
- Publisher
- Informa UK Limited
- Published
- 1986-09
- Volume
- 81
- Issue
- 395
- Pages
- 583-596
- ISSN
- 0162-1459 (ISSN-L)
- 1537-274X
- OpenAlex
- W2168791593
- Cited by
- 212
- References
- 0
- FWCI
- 9.88
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: An Analysis of Contaminated Well Water and Health Effects in Woburn, Massachusetts. https://app.cochat.ai/papers/10.1080/01621459.1986.10478307
- The paper
- Lagakos, S. W., Wessen, B. J., & Zelen, M. (1986). An Analysis of Contaminated Well Water and Health Effects in Woburn, Massachusetts. Journal of the American Statistical Association. https://doi.org/10.1080/01621459.1986.10478307
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
