Identifying current and emerging resources and tools utilized for detection, prediction, and visualization of viral zoonotic disease clusters: a Delphi study Article Swipe
R. Suzanne Beard
,
Matthew Scotch
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1093/jamiaopen/ooz015
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1093/jamiaopen/ooz015
Zoonotic disease surveillance presents a substantial problem in the management of public health. Globally, zoonoses have the potential to spread and negatively impact population health economic growth, and security. This research was conducted to investigate the current data sources, analytical methods, and limitations for cluster detection and prediction with particular interest in emerging bioinformatics tools and resources to inform the development of zoonotic surveillance spatial decision support systems. We recruited 10 local health personnel to participate in a Delphi study. Participants agreed cluster detection is a priority, though mathematical modeling methods and bioinformatics resources are not commonly used toward this endeavor. However, participants indicated a desire to utilize preventative measures. We identified many limitations for identifying clusters including software availability, appropriateness, training, and usage of emerging genetic data. Future decision support system development should focus on state health personnel priorities and tasks to better utilize emerging developments and available data.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- http://doi.org/10.1093/jamiaopen/ooz015
- https://academic.oup.com/jamiaopen/article-pdf/2/3/306/32298661/ooz015.pdf
- OA Status
- gold
- References
- 29
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2947052199
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2947052199Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1093/jamiaopen/ooz015Digital Object Identifier
- Title
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Identifying current and emerging resources and tools utilized for detection, prediction, and visualization of viral zoonotic disease clusters: a Delphi studyWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2019Year of publication
- Publication date
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2019-05-28Full publication date if available
- Authors
-
R. Suzanne Beard, Matthew ScotchList of authors in order
- Landing page
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https://doi.org/10.1093/jamiaopen/ooz015Publisher landing page
- PDF URL
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https://academic.oup.com/jamiaopen/article-pdf/2/3/306/32298661/ooz015.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://academic.oup.com/jamiaopen/article-pdf/2/3/306/32298661/ooz015.pdfDirect OA link when available
- Concepts
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Delphi method, Delphi, Data science, Disease surveillance, Decision support system, Computer science, Cluster (spacecraft), Public health, Visualization, Risk analysis (engineering), Data mining, Medicine, Artificial intelligence, Programming language, Operating system, NursingTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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29Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W2127435093, https://openalex.org/W2015906925, https://openalex.org/W1668487814, https://openalex.org/W2322138869, https://openalex.org/W2101696938, https://openalex.org/W2589631854, https://openalex.org/W1898136285, https://openalex.org/W2028806048, https://openalex.org/W2036552303, https://openalex.org/W140046518, https://openalex.org/W6733821918, https://openalex.org/W2324158852, https://openalex.org/W1570423984, https://openalex.org/W1974130720, https://openalex.org/W2111158617, https://openalex.org/W2313148396, https://openalex.org/W2915312400, https://openalex.org/W2001697237, https://openalex.org/W6641204020, https://openalex.org/W2015717507, https://openalex.org/W1963526887, https://openalex.org/W2071604435, https://openalex.org/W2032899558, https://openalex.org/W2952045272, https://openalex.org/W2767318416, https://openalex.org/W2073017712, https://openalex.org/W1964749510, https://openalex.org/W2582743722, https://openalex.org/W2948597847 |
| referenced_works_count | 29 |
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| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5050090926 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| corresponding_institution_ids | https://openalex.org/I2802821144, https://openalex.org/I55732556 |
| citation_normalized_percentile.value | 0.07127884 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |