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ProMED-mail: An Early Warning System for Emerging Diseases
Abstract
The Program for Monitoring Emerging Diseases (ProMED-mail) reports on outbreaks of diseases of infectious or toxic etiology, whether natural or intentionally released, that affect humans. Open to all sources, free of political constraints, and available to users free of charge, ProMED-mail exploits the speed and ubiquity of the Internet to serve as an early warning system for the detection of emerging disease outbreaks. ProMED-mail monitors diseases of plants and animals of agricultural importance in addition to zoonoses because of their key role in disease emergence. Reports are carefully screened for validity and are placed in an appropriate context by commentary and references from a panel of expert moderators. Reports are then posted to the Web and sent by e-mail to >32,000 subscribers in >150 countries.
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Citations
Cited by
Digital disease detection - harnessing the Web for public health surveillance
Brownstein, J. S., Freifeld, C. C., & Madoff, L. C. (2009) · New England Journal of Medicine · doi:10.1056/nejmp0900702 · Cited by 819
The Lancet countdown: Tracking progress on health and climate change
Watts, N., Adger, W. N., Ayeb-Karlsson, S., Bai, Y., Byass, P., Campbell-Lendrum, D., Colbourn, T., Cox, P., Davies, M., Depledge, M., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(16)32124-9 · Cited by 430
Smart health monitoring systems: An overview of design and modeling
Baig, M. M., & Gholamhosseini, H. (2013) · Journal of Medical Systems · doi:10.1007/s10916-012-9898-z · Cited by 396
Ethical challenges of big data in public health
Vayena, E., Salathé, M., Madoff, L. C., & Brownstein, J. S. (2015) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1003904 · Cited by 268
Self-citationVELASCO, E., AGHENEZA, T., DENECKE, K., KIRCHNER, G., & ECKMANNS, T. (2014) · The Milbank Quarterly · doi:10.1111/1468-0009.12038 · Cited by 256
Metadata
- Authors
- Yu, V. L., & Madoff, L. C.
- Venue
- Clinical Infectious Diseases
- Publisher
- Oxford University Press (OUP)
- Published
- 2004-07-15
- Volume
- 39
- Issue
- 2
- Pages
- 227-232
- ISSN
- 1058-4838 (ISSN-L)
- 1537-6591
- OpenAlex
- W2003096040
- Cited by
- 267
- References
- 0
- FWCI
- 2.93
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: ProMED-mail: An Early Warning System for Emerging Diseases. https://app.cochat.ai/papers/10.1086/422003
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- Yu, V. L., & Madoff, L. C. (2004). ProMED-mail: An Early Warning System for Emerging Diseases. Clinical Infectious Diseases. https://doi.org/10.1086/422003
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.
