The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Public health for the people: participatory infectious disease surveillance in the digital age
Open accessAbstract
The 21(st) century has seen the rise of Internet-based participatory surveillance systems for infectious diseases. These systems capture voluntarily submitted symptom data from the general public and can aggregate and communicate that data in near real-time. We reviewed participatory surveillance systems currently running in 13 different countries. These systems have a growing evidence base showing a high degree of accuracy and increased sensitivity and timeliness relative to traditional healthcare-based systems. They have also proven useful for assessing risk factors, vaccine effectiveness, and patterns of healthcare utilization while being less expensive, more flexible, and more scalable than traditional systems. Nonetheless, they present important challenges including biases associated with the population that chooses to participate, difficulty in adjusting for confounders, and limited specificity because of reliance only on syndromic definitions of disease limits. Overall, participatory disease surveillance data provides unique disease information that is not available through traditional surveillance sources.
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Gripenet: an internet-based system to monitor influenza-like illness uniformly across Europe
van Noort, S. P., Muehlen, M., Rebelo de Andrade, H., Koppeschaar, C., Lima Lourenço, J. M., & Gomes, M. G. (2007) · Eurosurveillance · doi:10.2807/esm.12.07.00722-en · Cited by 84
Cited by
Statistical physics of vaccination
Wang, Z., Bauch, C. T., Bhattacharyya, S., d'Onofrio, A., Manfredi, P., Perc, M., Perra, N., Salathé, M., & Zhao, D. (2016) · Physics Reports · doi:10.1016/j.physrep.2016.10.006 · Cited by 872
Iyamu, I., Gómez-Ramírez, O., Xu, A. X., Chang, H.-J., Watt, S., Mckee, G., & Gilbert, M. (2022) · DIGITAL HEALTH · doi:10.1177/20552076221102255 · Cited by 118
“21,38,40,46,73,85,89,91,101,116,125,129,130 Fragmented, isolated, and unsustainable systems.”
Smartphone apps in the COVID-19 pandemic
Pandit, J. A., Radin, J. M., Quer, G., & Topol, E. J. (2022) · Nature Biotechnology · doi:10.1038/s41587-022-01350-x · Cited by 101
A Platform for Crowdsourced Foodborne Illness Surveillance: Description of Users and Reports
Quade, P., & Nsoesie, E. O. (2017) · JMIR Public Health and Surveillance · doi:10.2196/publichealth.7076 · Cited by 24
Building models, building capacity: A review of participatory machine learning for HIV prevention
Sendak, M., Young, M., Kim, J. Y., Hasan, A., Kelsey, C., O’Neal, C., Jagneaux, T., Wilbright, W., Couk, J., Lim, S., et al. (2025) · PLOS Global Public Health · doi:10.1371/journal.pgph.0003862 · Cited by 2
Metadata
- Authors
- Wójcik, O. P., Brownstein, J. S., Chunara, R., & Johansson, M. A.
- Venue
- Emerging Themes in Epidemiology
- Published
- 2014-06-20
- Volume
- 11
- Issue
- 1
- Pages
- 7-7
- ISSN
- 1742-7622 (ISSN-L)
- OpenAlex
- W2159004280
- Cited by
- 185
- References
- 1
- FWCI
- 11.68
- Type
- journal article
- Language
- en
- Open access
- gold
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- Wójcik, O. P., Brownstein, J. S., Chunara, R., & Johansson, M. A. (2014). Public health for the people: participatory infectious disease surveillance in the digital age. Emerging Themes in Epidemiology. https://doi.org/10.1186/1742-7622-11-7
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