Identifying the outbreak signal of COVID-19 before the response of the traditional disease monitoring system.
PLoS Negl Trop Dis
; 14(10): e0008758, 2020 10.
Article
in English
| MEDLINE | ID: covidwho-810263
ABSTRACT
SYNOPSIS Early identification of the emergence of an outbreak of a novel infectious disease is critical to generating a timely response. The traditional monitoring system is adequate for detecting the outbreak of common diseases; however, it is insufficient for the discovery of novel infectious diseases. In this study, we used COVID-19 as an example to compare the delay time of different tools for identifying disease outbreaks. The results showed that both the abnormal spike in influenza-like illnesses and the peak of online searches of key terms could provide early signals. We emphasize the importance of testing these findings and discussing the broader potential to use syndromic surveillance, internet searches, and social media data together with traditional disease surveillance systems for early detection and understanding of novel emerging infectious diseases.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Pneumonia, Viral
/
Coronavirus Infections
/
Sentinel Surveillance
/
Disease Notification
Type of study:
Observational study
Limits:
Humans
Country/Region as subject:
Asia
Language:
English
Journal:
PLoS Negl Trop Dis
Journal subject:
Tropical Medicine
Year:
2020
Document Type:
Article
Affiliation country:
Journal.pntd.0008758
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