ArticleTransboundary and emerging diseases2021
Monitoring online media reports for early detection of unknown diseases: Insight from a retrospective study of COVID-19 emergence.
Article in Transboundary and emerging diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 25 citations in OpenAlex.
- Social inequality and cultural factors impact the awareness and reaction during the cryptic transmission period of pandemic.PNAS nexus · 2025Article
- Modelling the drivers of outbreak communication in online media news for improved event-based surveillance.PloS one · 2025Article
- Changes to Public Health Surveillance Methods Due to the COVID-19 Pandemic: Scoping Review.JMIR public health and surveillance · 2024Article
- Dissemination of information in event-based surveillance, a case study of Avian Influenza.PloS one · 2023Article
- One Health security lessons from a year-long webinar series on international COVID-19 response.One health outlook · 2022Article
- Linguistic Pattern-Infused Dual-Channel Bidirectional Long Short-term Memory With Attention for Dengue Case Summary Generation From the Program for Monitoring Emerging Diseases-Mail Database: Algorithm Development Study.JMIR public health and surveillance · 2022Article
- Enhancing COVID-19 Epidemic Forecasting Accuracy by Combining Real-time and Historical Data From Multiple Internet-Based Sources: Analysis of Social Media Data, Online News Articles, and Search Queries.JMIR public health and surveillance · 2022Article
- Quantitative analysis of the impact of various urban socioeconomic indicators on search-engine-based estimation of COVID-19 prevalence.Infectious Disease Modelling · 2022Article
- PADI-web 3.0: A new framework for extracting and disseminating fine-grained information from the news for animal disease surveillance.One health (Amsterdam, Netherlands) · 2021Article
- ITEXT-BIO: Intelligent Term EXTraction for BIOmedical analysis.Health information science and systems · 2021Article
- Monitoring online media reports for early detection of unknown diseases: Insight from a retrospective study of COVID-19 emergence.Transboundary and emerging diseases · 2021Article
- COVID-19 and Media datasets: Period- and location-specific textual data mining.Data in brief · 2020Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Event-based surveillance (EBS) systems monitor a broad range of information sources to detect early signals of disease emergence, including new and unknown diseases. In December 2019, a newly identified coronavirus emerged in Wuhan (China), causing a global coronavirus disease (COVID-19) pandemic. A retrospective study was conducted to evaluate the capacity of three event-based surveillance (EBS) systems (ProMED, HealthMap and PADI-web) to detect early COVID-19 emergence signals. We focused on changes in online news vocabulary over the period before/after the identification of COVID-19, while also assessing its contagiousness and pandemic potential. ProMED was the timeliest EBS, detecting signals one day before the official notification. At this early stage, the specific vocabulary used was related to 'pneumonia symptoms' and 'mystery illness'. Once COVID-19 was identified, the vocabulary changed to virus family and specific COVID-19 acronyms. Our results suggest that the three EBS systems are complementary regarding data sources, and all require timeliness improvements. EBS methods should be adapted to the different stages of disease emergence to enhance early detection of future unknown disease outbreaks.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.