ArticleWestern Pacific surveillance and response journal : WPSAR
Using open-source intelligence to identify early signals of COVID-19 in Indonesia.
Article in Western Pacific surveillance and response journal : WPSAR. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Global Epidemiology of Outbreaks of Unknown Cause Identified by Open-Source Intelligence, 2020-2022.Emerging infectious diseases · 2025Article
- Use of Open-Source Epidemic Intelligence for Infectious Disease Outbreaks, Ukraine, 2022.Emerging infectious diseases · 2024Article
- Open-Source Intelligence for Detection of Radiological Events and Syndromes Following the Invasion of Ukraine in 2022: Observational Study.JMIR infodemiology · 2023Article
- Timeliness of online COVID-19 reports from official sources.Frontiers in public health · 2022Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveOpen-source data from online news reports and informal sources may provide information about outbreaks before official notification. This study aims to evaluate the use of open-source data from the epidemic observatory,
methodsUsing open-source data on pneumonia of unknown cause in Indonesia between 1 November 2019 and 31 March 2020 (extracted from
resultsA rise in reports of pneumonia of unknown cause was identified in Indonesia, starting from late January 2020. There were 304 reported cases of pneumonia of unknown cause, 30 of which occurred before the identification of the first COVID-19 cases on 2 March 2020. The early signals of pneumonia of unknown cause in Indonesia may indicate possible unrecognized circulation of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) before official detection. DISCUSSION: Open-source data may provide rapid, unvalidated information for early detection of outbreaks. Although unvalidated, such information may be used to supplement or trigger investigation and testing. As
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