Drivers of Emerging Infectious Disease Events as a Framework for Digital Detection
The growing field of digital disease detection, or epidemic intelligence, attempts to improve timely detection and awareness of infectious disease (ID) events. Early detection remains an important priority; thus, the next frontier for ID surveillance is to improve the recognition and monitoring of d...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Centers for Disease Control and Prevention
2015-08-01
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| Series: | Emerging Infectious Diseases |
| Subjects: | |
| Online Access: | https://wwwnc.cdc.gov/eid/article/21/8/14-1156_article |
| _version_ | 1818298814066327552 |
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| author | Sarah H. Olson Corey M. Benedum Sumiko R. Mekaru Nicholas D. Preston Jonna A.K. Mazet Damien O. Joly John S. Brownstein |
| author_facet | Sarah H. Olson Corey M. Benedum Sumiko R. Mekaru Nicholas D. Preston Jonna A.K. Mazet Damien O. Joly John S. Brownstein |
| author_sort | Sarah H. Olson |
| collection | DOAJ |
| description | The growing field of digital disease detection, or epidemic intelligence, attempts to improve timely detection and awareness of infectious disease (ID) events. Early detection remains an important priority; thus, the next frontier for ID surveillance is to improve the recognition and monitoring of drivers (antecedent conditions) of ID emergence for signals that precede disease events. These data could help alert public health officials to indicators of elevated ID risk, thereby triggering targeted active surveillance and interventions. We believe that ID emergence risks can be anticipated through surveillance of their drivers, just as successful warning systems of climate-based, meteorologically sensitive diseases are supported by improved temperature and precipitation data. We present approaches to driver surveillance, gaps in the current literature, and a scientific framework for the creation of a digital warning system. Fulfilling the promise of driver surveillance will require concerted action to expand the collection of appropriate digital driver data. |
| first_indexed | 2024-12-13T04:41:18Z |
| format | Article |
| id | doaj.art-e0857d27da474d219c8bfa3788226dbc |
| institution | Directory Open Access Journal |
| issn | 1080-6040 1080-6059 |
| language | English |
| last_indexed | 2024-12-13T04:41:18Z |
| publishDate | 2015-08-01 |
| publisher | Centers for Disease Control and Prevention |
| record_format | Article |
| series | Emerging Infectious Diseases |
| spelling | doaj.art-e0857d27da474d219c8bfa3788226dbc2022-12-21T23:59:20ZengCenters for Disease Control and PreventionEmerging Infectious Diseases1080-60401080-60592015-08-012181285129210.3201/eid2108.141156Drivers of Emerging Infectious Disease Events as a Framework for Digital DetectionSarah H. OlsonCorey M. BenedumSumiko R. MekaruNicholas D. PrestonJonna A.K. MazetDamien O. JolyJohn S. BrownsteinThe growing field of digital disease detection, or epidemic intelligence, attempts to improve timely detection and awareness of infectious disease (ID) events. Early detection remains an important priority; thus, the next frontier for ID surveillance is to improve the recognition and monitoring of drivers (antecedent conditions) of ID emergence for signals that precede disease events. These data could help alert public health officials to indicators of elevated ID risk, thereby triggering targeted active surveillance and interventions. We believe that ID emergence risks can be anticipated through surveillance of their drivers, just as successful warning systems of climate-based, meteorologically sensitive diseases are supported by improved temperature and precipitation data. We present approaches to driver surveillance, gaps in the current literature, and a scientific framework for the creation of a digital warning system. Fulfilling the promise of driver surveillance will require concerted action to expand the collection of appropriate digital driver data.https://wwwnc.cdc.gov/eid/article/21/8/14-1156_articleepidemiologycommunicable diseasesemergingpublic healthdata collectionawareness |
| spellingShingle | Sarah H. Olson Corey M. Benedum Sumiko R. Mekaru Nicholas D. Preston Jonna A.K. Mazet Damien O. Joly John S. Brownstein Drivers of Emerging Infectious Disease Events as a Framework for Digital Detection Emerging Infectious Diseases epidemiology communicable diseases emerging public health data collection awareness |
| title | Drivers of Emerging Infectious Disease Events as a Framework for Digital Detection |
| title_full | Drivers of Emerging Infectious Disease Events as a Framework for Digital Detection |
| title_fullStr | Drivers of Emerging Infectious Disease Events as a Framework for Digital Detection |
| title_full_unstemmed | Drivers of Emerging Infectious Disease Events as a Framework for Digital Detection |
| title_short | Drivers of Emerging Infectious Disease Events as a Framework for Digital Detection |
| title_sort | drivers of emerging infectious disease events as a framework for digital detection |
| topic | epidemiology communicable diseases emerging public health data collection awareness |
| url | https://wwwnc.cdc.gov/eid/article/21/8/14-1156_article |
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