ArticleProceedings of the National Academy of Sciences of the United States of America2010
Global capacity for emerging infectious disease detection.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 124 papers, 4 of them syntheses that pooled it.
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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.
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Who cites it
124 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Using internet-based query and climate data to predict climate-sensitive infectious disease risks: a systematic review of epidemiological evidence.International journal of biometeorology · 2021Pooled it
- Urban Chikungunya in the Middle East and North Africa: A systematic review.PLoS neglected tropical diseases · 2017Pooled it
- Dengue in the Middle East and North Africa: A Systematic Review.PLoS neglected tropical diseases · 2016Pooled it
- Social media and internet-based data in global systems for public health surveillance: a systematic review.The Milbank quarterly · 2014Pooled it
- Effect of MyMAFI-A Newly Developed Mobile App for Field Investigation of Food Poisoning Outbreak on the Timeliness in Reporting: A Randomized Crossover Trial.International journal of environmental research and public health · 2019Trial
- Accounting for methodological variabilities in disease outbreak surveillance using wastewater-based epidemiology: a case study with SARS-CoV-2.Analytical and bioanalytical chemistry · 2026Article
- Powassan Virus in the United States: An AI-Integrative One Health Scoping Review of Ecological Drivers, Zoonotic Interactions, Symptom Profiles, and Public Health Implications.Infectious disease reports · 2026Review
- Modernizing public health surveillance for global health security leveraging AI.Lancet regional health. Americas · 2026Review
- Assessment of Cross-Border Monkeypox Importation Risk: A Modeling Study - Worldwide, 2022-2025.China CDC weekly · 2026Article
- Estimating the impact of decreasing vaccination response times for outbreaks of vaccine-preventable diseases in low- and middle-income countries.BMC global and public health · 2026Article
- Reporting trends and seasonality in the World Health Organization's Disease Outbreak News (DONs) across 1996-2023.PLOS global public health · 2026Article
- Association between timeliness of detection, notification and response and the magnitude, severity and duration of disease outbreaks: a retrospective review of 84 outbreaks in Uganda, 2017-2022.BMJ global health · 2025Article
- Assessing the Quality of World Health Organisation Guidelines during Health Emergencies: A Domain-Based Analysis.Journal of epidemiology and global health · 2025Article
- Surveillance of Twitter Data on COVID-19 Symptoms During the Omicron Variant Period: A Sentiment Analysis.JMIR formative research · 2025Article
- Factors associated with knowledge, attitudes, and practices of mixed crop-livestock farmers on Crimean-Congo hemorrhagic fever (CCHF) and other zoonoses in Burkina Faso.One health (Amsterdam, Netherlands) · 2025Article
- An analysis of One Health timeliness metrics across multisectoral public health emergencies in Uganda.Communications medicine · 2025Article
- The potential of long-term wastewater-based surveillance to predict COVID-19 waves peak in Mexico.Water environment research : a research publication of the Water Environment Federation · 2025Article
- Infectious disease burden and surveillance challenges in Jordan and Palestine: a systematic review and meta-analysis.Frontiers in digital health · 2025Review
- The WHO Disease Outbreak News during the Covid-19 pandemic.PLOS global public health · 2025Article
- Beyond early warning: towards greater granularity in the use of event-based surveillance for public health emergencies.BMC public health · 2024Article
64 more citing papers are in PubMed but not listed here.
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Authors and funding
10 authors.
Funding
Abstract
The increasing number of emerging infectious disease events that have spread internationally, such as severe acute respiratory syndrome (SARS) and the 2009 pandemic A/H1N1, highlight the need for improvements in global outbreak surveillance. It is expected that the proliferation of Internet-based reports has resulted in greater communication and improved surveillance and reporting frameworks, especially with the revision of the World Health Organization's (WHO) International Health Regulations (IHR 2005), which went into force in 2007. However, there has been no global quantitative assessment of whether and how outbreak detection and communication processes have actually changed over time. In this study, we analyzed the entire WHO public record of Disease Outbreak News reports from 1996 to 2009 to characterize spatial-temporal trends in the timeliness of outbreak discovery and public communication about the outbreak relative to the estimated outbreak start date. Cox proportional hazards regression analyses show that overall, the timeliness of outbreak discovery improved by 7.3% [hazard ratio (HR) = 1.073, 95% CI (1.038; 1.110)] per year, and public communication improved by 6.2% [HR = 1.062, 95% CI (1.028; 1.096)] per year. However, the degree of improvement varied by geographic region; the only WHO region with statistically significant (α = 0.05) improvement in outbreak discovery was the Western Pacific region [HR = 1.102 per year, 95% CI (1.008; 1.205)], whereas the Eastern Mediterranean [HR = 1.201 per year, 95% CI (1.066; 1.353)] and Western Pacific regions [HR = 1.119 per year, 95% CI (1.025; 1.221)] showed improvement in public communication. These findings provide quantitative historical assessment of timeliness in infectious disease detection and public reporting of outbreaks.
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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.