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New technologies in predicting, preventing and controlling emerging infectious diseases
Open accessAbstract
Surveillance of emerging infectious diseases is vital for the early identification of public health threats. Emergence of novel infections is linked to human factors such as population density, travel and trade and ecological factors like climate change and agricultural practices. A wealth of new technologies is becoming increasingly available for the rapid molecular identification of pathogens but also for the more accurate monitoring of infectious disease activity. Web-based surveillance tools and epidemic intelligence methods, used by all major public health institutions, are intended to facilitate risk assessment and timely outbreak detection. In this review, we present new methods for regional and global infectious disease surveillance and advances in epidemic modeling aimed to predict and prevent future infectious diseases threats.
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“are excellent candidates for preventing, predicting, and monitoring emerging infectious diseases (Christaki, 2015; Alabdulatif et al., 2019) like COVID-19.”
From IoMT amid COVID-19 pandemic: Application, architecture, technology, and security (2021) · cites this paper as Christaki, 2015
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Łoś, M., Smolak, K., Mitrus, C., Rohm, W., de Weghe, N. V., & Siła-Nowicka, K. (2023) · PLoS ONE · doi:10.1371/journal.pone.0286239
Fayad, M. B. M., Youseffi, M., Li, J., & Jamil, M. M. A. (2023) · IEEE International Conference on Control System, Computing and Engineering · doi:10.1109/iccsce58721.2023.10237104
Metadata
- Authors
- Christaki, E.
- Affiliations
- Brown University (US)
- Corresponding author
- Christaki, Eirini
- ORCID
- Christaki, Eirini
- Venue
- Virulence
- Publisher
- Informa UK Limited
- Published
- 2015-06-11
- Volume
- 6
- Issue
- 6
- Pages
- 558-565
- ISSN
- 2150-5594 (ISSN-L)
- 2150-5608
- PMC
- PMC4720248
- OpenAlex
- W1662955229
- Cited by
- 226
- References
- 74
- Citations by year
- 2026: 7 · 2025: 24 · 2024: 13 · 2023: 28 · 2022: 30 · 2021: 55 · 2020: 34 · 2019: 11 · 2018: 16 · 2017: 6 · 2016: 1 · 2015: 1
- FWCI
- 1.04
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Virulence (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Epidemiology › Data-Driven Disease Surveillance
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Zoonotic diseases and public health
- Health Sciences › Medicine › Infectious Diseases › Viral Infections and Outbreaks Research
- Keywords
- emerging infectious diseases, infectious disease surveillance, epidemic modeling, outbreak detection, epidemic intelligence, risk assessment, climate change, agricultural practices, disease prevention
- MeSH terms
- Communicable Disease Control, Humans, Disease Transmission, Infectious, Communicable Diseases, Emerging, Epidemiological Monitoring
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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.
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