ArticleWestern Pacific surveillance and response journal : WPSAR
Epidemic intelligence needs of stakeholders in the Asia-Pacific region.
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 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Technological trends in epidemic intelligence for infectious disease surveillance: a systematic literature review.PeerJ. Computer science · 2025Article
- Developing a Research Network of Early Warning Systems for Infectious Diseases Transmission Between China and Australia.China CDC weekly · 2024Article
- Epidemic intelligence in Europe: a user needs perspective to foster innovation in digital health surveillance.BMC public health · 2024Article
- Open-Source Intelligence for Detection of Radiological Events and Syndromes Following the Invasion of Ukraine in 2022: Observational Study.JMIR infodemiology · 2023Article
- Preventing the next pandemic: Use of artificial intelligence for epidemic monitoring and alerts.Cell reports. Medicine · 2022Article
- Surveillance of emerging infectious diseases for biosecurity.Science China. Life sciences · 2022Review
- The role of AI technology in prediction, diagnosis and treatment of colorectal cancer.Artificial intelligence review · 2022Article
- Evaluation of National Event-Based Surveillance, Nigeria, 2016-2018.Emerging infectious diseases · 2021Review
- Applying eHealth for Pandemic Management in Saudi Arabia in the Context of COVID-19: Survey Study and Framework Proposal.JMIR medical informatics · 2020Article
- Using Open-Source Intelligence to Detect Early Signals of COVID-19 in China: Descriptive Study.JMIR public health and surveillance · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo understand the global outbreak surveillance needs of stakeholders involved in epidemic response in selected countries and areas in the Asia-Pacific region to inform development of an epidemic observatory, Epi-watch.
methodsWe designed an online, semi-structured stakeholder questionnaire to collect information on global outbreak surveillance sources and limitations from participants who use epidemic intelligence and outbreak alert services in their work in government and nongovernment organizations in the Asia-Pacific region.
resultsAll respondents agreed that it was important to remain up to date with global outbreaks. The main reason cited for following global outbreak news was as an early warning for serious epidemics. Mainstream media and specialist Internet sources such as the World Health Organization (
conclusionFor those who work in epidemic response, epidemic intelligence is important and widely used. Stakeholders are less aware of and less frequently use rapid sources such as HealthMap and rely more on validated but less timely traditional sources of disease surveillance. Users identified a need for more timely and reliable epidemic intelligence.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.