ArticleScientific data2022
A global dataset of pandemic- and epidemic-prone disease outbreaks.
Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Marburg virus disease outbreaks, mathematical models, and disease parameters: a systematic review.The Lancet. Infectious diseases · 2024Pooled it
- Climate-associated natural selection in the human mitochondrial genome.Molecular biology and evolution · 2026Article
- The future of diagnostics in Africa.Nature medicine · 2026Review
- Quantifying and combating zoonotic viruses poised for emergence: Using multiplex receptor screening and decoy engineering technologies.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Global trends of pandemic-prone and epidemic-prone disease outbreaks in 2024.BMJ global health · 2026Review
- Isogenic induced-pluripotent-stem-cell-derived airway- and alveolus-on-chip models reveal specific innate immune responses.Nature biomedical engineering · 2025Article
- Strengthening the mpox response: how do we balance pragmatism and equity in resource-constrained settings?Journal of global health · 2025Article
- The dynamic preparedness metric: results from a global and regional analysis of health emergency preparedness.BMC public health · 2025Article
- Global distribution and health impact of infectious disease outbreaks, 1996-2023: a worldwide retrospective analysis of World Health Organization emergency event reports.Journal of global health · 2025Article
- Constructing a global human epidemic database using open-source digital biosurveillance.Scientific data · 2025Article
- What makes an epidemic a disaster: the future of epidemics within the EM-DAT International Disaster Database.BMC public health · 2025Article
- Salience and perceptions of epidemic-prone diseases in two communities: Findings from freelisting interviews in Khartoum State, Sudan.PLOS global public health · 2025Article
- Health system resilience and pandemic response: a comparative analysis of China, Singapore, the U.S., and the U.K.Frontiers in public health · 2025Article
- A recent history of disease outbreaks in Kenya, 2007-2022: Findings from routine surveillance data.BMC research notes · 2024Article
- Monitoring the West Nile virus outbreaks in Italy using open access data.Scientific data · 2023Article
- A global dataset of pandemic- and epidemic-prone disease outbreaks.Scientific data · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper presents a new dataset of infectious disease outbreaks collected from the Disease Outbreak News and the Coronavirus Dashboard produced by the World Health Organization. The dataset contains information on 70 infectious diseases and 2227 public health events that occurred over the period from January 1996 to March 2022 in 233 countries and territories around the world. We illustrate the potential use of this dataset to the research community by analysing the spatial distribution of disease outbreaks. We find evidence of spatial clusters of high incidences ("hot spots") in Africa, America, and Asia. This spatial analysis enables policymakers to identify the regions with the greatest likelihood of suffering from disease outbreaks and, taking into account their degree of preparedness and vulnerability, to develop policies that may help contain the spreading of future outbreaks. Further applications could focus on combining our data with other information sources to study, for instance, the link between environmental, globalization, and/or socioeconomic factors with disease outbreaks.
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.