The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Mortality in Puerto Rico after Hurricane Maria
Open accessAbstract
BACKGROUND: Quantifying the effect of natural disasters on society is critical for recovery of public health services and infrastructure. The death toll can be difficult to assess in the aftermath of a major disaster. In September 2017, Hurricane Maria caused massive infrastructural damage to Puerto Rico, but its effect on mortality remains contentious. The official death count is 64. METHODS: Using a representative, stratified sample, we surveyed 3299 randomly chosen households across Puerto Rico to produce an independent estimate of all-cause mortality after the hurricane. Respondents were asked about displacement, infrastructure loss, and causes of death. We calculated excess deaths by comparing our estimated post-hurricane mortality rate with official rates for the same period in 2016. RESULTS: From the survey data, we estimated a mortality rate of 14.3 deaths (95% confidence interval [CI], 9.8 to 18.9) per 1000 persons from September 20 through December 31, 2017. This rate yielded a total of 4645 excess deaths during this period (95% CI, 793 to 8498), equivalent to a 62% increase in the mortality rate as compared with the same period in 2016. However, this number is likely to be an underestimate because of survivor bias. The mortality rate remained high through the end of December 2017, and one third of the deaths were attributed to delayed or interrupted health care. Hurricane-related migration was substantial. CONCLUSIONS: This household-based survey suggests that the number of excess deaths related to Hurricane Maria in Puerto Rico is more than 70 times the official estimate. (Funded by the Harvard T.H. Chan School of Public Health and others.).
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
Cites
A global map of travel time to cities to assess inequalities in accessibility in 2015
Weiss, D. J., Nelson, A., Gibson, H. S., Temperley, W., Peedell, S., Lieber, A., Hancher, M., Poyart, E., Belchior, S., Fullman, N., et al. (2018) · Nature · doi:10.1038/nature25181 · Cited by 1,169
Glass, R. I., Urrutia, J. J., Sibony, S., Smith, H., Garcia, B., & Rizzo, L. (1977) · Science · doi:10.1126/science.197.4304.638 · Cited by 176
Mobile phone data highlights the role of mass gatherings in the spreading of cholera outbreaks
Finger, F., Genolet, T., Mari, L., de Magny, G. C., Manga, N. M., Rinaldo, A., & Bertuzzo, E. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1522305113 · Cited by 176
Santos‐Lozada, A. R., & Howard, J. T. (2018) · JAMA · doi:10.1001/jama.2018.10929 · Cited by 103
Documenting Mortality in Crises: What Keeps Us from Doing Better?
Checchi, F., & Roberts, L. (2008) · PLoS Medicine · doi:10.1371/journal.pmed.0050146 · Cited by 96
East Bengal cyclone of November, 1970. Epidemiological approach to disaster assessment.
Sommer, A. H., & Mosley, W. H. (1972) · PubMed · Cited by 83
Morbidity and Mortality Associated with Disasters
Bourque, L. B., Siegel, J. M., Kano, M., & Wood, M. M. (2007) · Handbooks of sociology and social research · doi:10.1007/978-0-387-32353-4_6 · Cited by 60
Hurricane Sandy as a Kidney Failure Disaster
Lempert, K. D., & Kopp, J. B. (2013) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2013.03.017 · Cited by 38
Prudhon, C., & Spiegel, P. B. (2007) · Emerging Themes in Epidemiology · doi:10.1186/1742-7622-4-10 · Cited by 38
Cited by
Extreme Weather and Climate Change: Population Health and Health System Implications
Ebi, K. L., Vanos, J., Baldwin, J. W., Bell, J. E., Hondula, D. M., Errett, N. A., Hayes, K., Reid, C. E., Saha, S., Spector, J., et al. (2021) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-012420-105026 · Cited by 1,213
Extreme weather impacts of climate change: an attribution perspective
Clarke, B., Otto, F., Stuart-Smith, R., & Harrington, L. (2022) · Environmental Research: Climate · doi:10.1088/2752-5295/ac6e7d · Cited by 573
Cancer Statistics for Hispanics/Latinos, 2018
Miller, K. D., Goding Sauer, A., Ortiz, A. P., Fedewa, S. A., Pinheiro, P. S., Tortolero‐Luna, G., Martinez‐Tyson, D., Jemal, A., & Siegel, R. L. (2018) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21494 · Cited by 452
Energy, Poverty, and Health in Climate Change: A Comprehensive Review of an Emerging Literature
Jessel, S., Sawyer, S., & Hernández, D. (2019) · Frontiers in Public Health · doi:10.3389/fpubh.2019.00357 · Cited by 431
Racial Disparities in Climate Change-Related Health Effects in the United States
Berberian, A. G., Gonzalez, D. J. X., & Cushing, L. J. (2022) · Current Environmental Health Reports · doi:10.1007/s40572-022-00360-w · Cited by 309
Metadata
- Authors
- Kishore, N., Marqués, D., Mahmud, A., Kiang, M. V., Rodriguez, I., Fuller, A., Ebner, P., Sorensen, C., Racy, F., Lemery, J., Maas, L., Leaning, J., Irizarry, R. A., Balsari, S., & Buckee, C. O.
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2018-07-12
- Volume
- 379
- Issue
- 2
- Pages
- 162-170
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- OpenAlex
- W2805543014
- Cited by
- 689
- References
- 10
- FWCI
- 127.57
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Mortality in Puerto Rico after Hurricane Maria. https://app.cochat.ai/papers/10.1056/nejmsa1803972
- The paper
- Kishore, N., Marqués, D., Mahmud, A., Kiang, M. V., Rodriguez, I., Fuller, A., Ebner, P., Sorensen, C., Racy, F., Lemery, J., Maas, L., Leaning, J., Irizarry, R. A., Balsari, S., & Buckee, C. O. (2018). Mortality in Puerto Rico after Hurricane Maria. New England Journal of Medicine. https://doi.org/10.1056/nejmsa1803972
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.