Drivers of Emerging Infectious Disease Events as a Framework for Digital Detection.

eScholarship, University of California 2015-08-01

Olson, Sarah H
Benedum, Corey M
Mekaru, Sumiko R
Preston, Nicholas D
Mazet, Jonna AK
Joly, Damien O
Brownstein, John S

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.

Humans; Communicable Diseases; Emerging; Population Surveillance; Disease Notification; Internet; antecedent conditions; awareness; communicable diseases; data collection; detection; digital disease detection; disease drivers; disease events; disease outbreaks; emerging; epidemic intelligence; epidemiology; public health; risk; surveillance; the Internet; Prevention; Vaccine Related; Emerging Infectious Diseases; Good Health and Well Being; Clinical Sciences; Medical Microbiology; Public Health and Health Services; Microbiology; article

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Emerging infectious diseases vol 21, iss 8, 1285-1292 1080-6040

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