The DOI matches its Crossref record; 74 of the 74 references it cites were found in a registry or an index.
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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
Citations
Cites
Global trends in emerging infectious diseases
Jones, K. E., Patel, N. G., Levy, M. A., Storeygard, A., Balk, D., Gittleman, J. L., & Daszak, P. (2008) · Nature · doi:10.1038/nature06536 · Cited by 8,338
Detecting influenza epidemics using search engine query data
Ginsberg, J., Mohebbi, M. H., Patel, R. S., Brammer, L., Smolinski, M. S., & Brilliant, L. (2009) · Nature · doi:10.1038/nature07634 · Cited by 4,295
Multiscale mobility networks and the spatial spreading of infectious diseases
Balcan, D., Vittoria Colizza, A., Gonçalves, B., Hu, H., Ramasco, J. J., & Vespignani, A. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0906910106 · Cited by 1,347
Vittoria Colizza, A., Barrat, A., Barthélemy, M., & Vespignani, A. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0510525103 · Cited by 1,154
Prediction and prevention of the next pandemic zoonosis.
Morse, S. S., Mazet, J. A., Woolhouse, M., Parrish, C. R., Carroll, D., Karesh, W. B., Zambrana-Torrelio, C., Lipkin, W. I., & Daszak, P. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61684-5 · Cited by 1,070
Cross-Species Virus Transmission and the Emergence of New Epidemic Diseases
Parrish, C. R., Holmes, E. C., Morens, D. M., Park, E.-C., Burke, D. S., Calisher, C. H., Laughlin, C. A., Saif, L. J., & Daszak, P. (2008) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.00004-08 · Cited by 834
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
Google Trends: A Web‐Based Tool for Real‐Time Surveillance of Disease Outbreaks
Carneiro, H. A., & Mylonakis, E. E. (2009) · Clinical Infectious Diseases · doi:10.1086/630200 · Cited by 815
Social and environmental risk factors in the emergence of infectious diseases
Weiss, R. A., & McMichael, A. J. (2004) · Nature Medicine · doi:10.1038/nm1150 · Cited by 714
Dynamics and Control of Diseases in Networks with Community Structure
Salathé, M., & Jones, J. H. (2010) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000736 · Cited by 586
Research works printed but not linked: 2
- Kahn LH, 2009, Vet Ital, 45, 195
- Harris JK, 2014, MMWR Morb Mortal Wkly Rep, 63, 681
Cited by
Sorted by citations
Improved inference of time-varying reproduction numbers during infectious disease outbreaks
Thompson, R. N., Stockwin, J., van Gaalen, R. D., Polonsky, J. A., Kamvar, Z. N., Demarsh, P. A., Dahlqwist, E., Li, S., Miguel, E., Jombart, T., et al. (2019) · Epidemics · doi:10.1016/j.epidem.2019.100356 · Cited by 498
Internet of Things for Current COVID-19 and Future Pandemics: an Exploratory Study
Nasajpour, M., Pouriyeh, S., Parizi, R. M., Dorodchi, M., Valero, M., & Arabnia, H. R. (2020) · Journal of Healthcare Informatics Research · doi:10.1007/s41666-020-00080-6 · Cited by 304
Immunoinformatics and Vaccine Development: An Overview
Oli, A. N., Obialor, W. O., Ifeanyichukwu, M., Odimegwu, D. C., Okoyeh, J. N., Emechebe, G. O., Adejumo, S. A., & Ibeanu, G. C. (2020) · ImmunoTargets and Therapy · doi:10.2147/itt.s241064 · Cited by 324
Agarwal, P., Swami, S., & Malhotra, S. K. (2022) · Journal of Science and Technology Policy Management · doi:10.1108/jstpm-08-2021-0122 · Cited by 302
IoMT amid COVID-19 pandemic: Application, architecture, technology, and security
Mohd Aman, A. H., Hassan, W. H., Sameen, S., Attarbashi, Z. S., Alizadeh, M., & Latiff, L. A. (2021) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2020.102886 · Cited by 237
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
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
