Drivers of emerging infectious disease events as a framework for digital detection

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

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1285-1292
Number of pages8
JournalEmerging Infectious Diseases
Volume21
Issue number8
DOIs
StatePublished - Jul 23 2015

Fingerprint

Emerging Communicable Diseases
Communicable Diseases
Climate
Intelligence
Public Health
Temperature

ASJC Scopus subject areas

  • Microbiology (medical)
  • Infectious Diseases
  • Epidemiology

Cite this

Olson, S. H., Benedum, C. M., Mekaru, S. R., Preston, N. D., Mazet, J. A., Joly, D. O., & Brownstein, J. S. (2015). Drivers of emerging infectious disease events as a framework for digital detection. Emerging Infectious Diseases, 21(8), 1285-1292. https://doi.org/10.3201/eid2108.141156

Drivers of emerging infectious disease events as a framework for digital detection. / Olson, Sarah H.; Benedum, Corey M.; Mekaru, Sumiko R.; Preston, Nicholas D.; Mazet, Jonna A; Joly, Damien O.; Brownstein, John S.

In: Emerging Infectious Diseases, Vol. 21, No. 8, 23.07.2015, p. 1285-1292.

Research output: Contribution to journalArticle

Olson, SH, Benedum, CM, Mekaru, SR, Preston, ND, Mazet, JA, Joly, DO & Brownstein, JS 2015, 'Drivers of emerging infectious disease events as a framework for digital detection', Emerging Infectious Diseases, vol. 21, no. 8, pp. 1285-1292. https://doi.org/10.3201/eid2108.141156
Olson, Sarah H. ; Benedum, Corey M. ; Mekaru, Sumiko R. ; Preston, Nicholas D. ; Mazet, Jonna A ; Joly, Damien O. ; Brownstein, John S. / Drivers of emerging infectious disease events as a framework for digital detection. In: Emerging Infectious Diseases. 2015 ; Vol. 21, No. 8. pp. 1285-1292.
@article{21d3a1e8de2c4701a77142cf2ed4dd8c,
title = "Drivers of emerging infectious disease events as a framework for digital detection",
abstract = "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.",
author = "Olson, {Sarah H.} and Benedum, {Corey M.} and Mekaru, {Sumiko R.} and Preston, {Nicholas D.} and Mazet, {Jonna A} and Joly, {Damien O.} and Brownstein, {John S.}",
year = "2015",
month = "7",
day = "23",
doi = "10.3201/eid2108.141156",
language = "English (US)",
volume = "21",
pages = "1285--1292",
journal = "Emerging Infectious Diseases",
issn = "1080-6040",
publisher = "Centers for Disease Control and Prevention (CDC)",
number = "8",

}

TY - JOUR

T1 - Drivers of emerging infectious disease events as a framework for digital detection

AU - Olson, Sarah H.

AU - Benedum, Corey M.

AU - Mekaru, Sumiko R.

AU - Preston, Nicholas D.

AU - Mazet, Jonna A

AU - Joly, Damien O.

AU - Brownstein, John S.

PY - 2015/7/23

Y1 - 2015/7/23

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84937468602&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84937468602&partnerID=8YFLogxK

U2 - 10.3201/eid2108.141156

DO - 10.3201/eid2108.141156

M3 - Article

VL - 21

SP - 1285

EP - 1292

JO - Emerging Infectious Diseases

JF - Emerging Infectious Diseases

SN - 1080-6040

IS - 8

ER -