ReviewScience in One Health2024
Modern technologies and solutions to enhance surveillance and response systems for emerging zoonotic diseases.
Review in Science in One Health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 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
45 citing papers in PubMed.
- Mapping one health surveillance and networks for vector-borne disease prevention and control in Europe - A scoping review.One health (Amsterdam, Netherlands) · 2026Review
- Temporal epidemiology and multi-source forecasting of hemorrhagic fever with renal syndrome and leptospirosis in mainland China: An interpretable machine learning study.Preventive medicine reports · 2026Article
- Acceptability, Usability, and Clinical Appropriateness of an AI-Powered Tool for Linkage to HIV Services After HIV Self-Testing in South Africa: Mixed Methods Evaluation.Journal of medical Internet research · 2026Article
- From Reactive to Predictive One Health: AI-Enabled Frameworks for Integrated Zoonotic Surveillance and Governance.International journal of environmental research and public health · 2026Article
- Protocols for genomic epidemiology and source attribution of enteric bacteria causing diarrhoeal disease across Africa.BMJ open · 2026Article
- Meat-Borne Bacterial Pathogen Detection: Conventional, Molecular and Emerging AI-Based Strategies.Diagnostics (Basel, Switzerland) · 2026Review
- Digital epidemiology: Utilizing big data for public health surveillance and disease outbreak prediction.Journal of public health research · 2026Review
- Surveillance and response to emerging and re-emerging zoonotic diseases: advancing One Health from evidence to action.Science in One Health · 2026Article
- Advances in rapid detection technologies for zoonotic diseases: a one health-oriented review.Frontiers in cellular and infection microbiology · 2026Review
- Toward Eliminating Leishmaniasis as a Public Health Problem in Yemen: Advocating for a One Health Approach.Research and reports in tropical medicine · 2026Review
- Evaluation of the effectiveness of the model of family participatory care based on cloud follow-up in enhancing the quality of life and psychological well-being of patients with chronic difficult-to-heal traumatic tumours.Frontiers in public health · 2026Observational
- Intersectoral collaboration in zoonotic disease surveillance and response: A One Health study in the Greater Accra metropolitan area of Ghana.One health (Amsterdam, Netherlands) · 2025Article
- Challenges and recommendations for embracing digital tools for one health surveillance in LMICs: Viewpoints from a special session of 17th ISVEE.One health (Amsterdam, Netherlands) · 2025Article
- Healthcare delivery in the arctic-telehealth prospects.International journal of circumpolar health · 2025Review
- Enhancing Global Health Security in Sub-Saharan Africa: The case for integrated One Health surveillance against zoonotic diseases and environmental threats.One health (Amsterdam, Netherlands) · 2025Review
- Advances in Animal Disease Surveillance and Information Systems and Their Role in Disease Control and Prevention: Implications in Ethiopia.Veterinary medicine and science · 2025Review
- Spatio-Temporal Pattern Analysis of African Swine Fever Spreading in Northwestern Italy-The Role of Habitat Interfaces.Animals : an open access journal from MDPI · 2025Article
- One-Pot Isothermal Nucleic Acid Amplification Assisted CRISPR/Cas Detection Technology: Challenges, Strategies, and Perspectives.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Infectious Disease Surveillance in the Era of Big Data and AI: Opportunities and Pitfalls.Cureus · 2025Review
- Rodent-Borne Parasites and Human Disease: A Growing Public Health Concern.Animals : an open access journal from MDPI · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Zoonotic diseases originating in animals pose a significant threat to global public health. Recent outbreaks, such as coronavirus disease 2019 (COVID-19), have caused widespread illness, death, and socioeconomic disruptions worldwide. To cope with these diseases effectively, it is crucial to strengthen surveillance capabilities and establish rapid response systems. Aim: The aim of this review to examine the modern technologies and solutions that have the potential to enhance zoonotic disease surveillance and outbreak responses and provide valuable insights into how cutting-edge innovations could be leveraged to prevent, detect, and control emerging zoonotic disease outbreaks. Herein, we discuss advanced tools including big data analytics, artificial intelligence, the Internet of Things, geographic information systems, remote sensing, molecular diagnostics, point-of-care testing, telemedicine, digital contact tracing, and early warning systems. Results: These technologies enable real-time monitoring, the prediction of outbreak risks, early anomaly detection, rapid diagnosis, and targeted interventions during outbreaks. When integrated through collaborative partnerships, these strategies can significantly improve the speed and effectiveness of zoonotic disease control. However, several challenges persist, particularly in resource-limited settings, such as infrastructure limitations, costs, data integration and training requirements, and ethical implementation. Conclusion: With strategic planning and coordinated efforts, modern technologies and solutions offer immense potential to bolster surveillance and outbreak responses, and serve as a critical resource against emerging zoonotic disease threats worldwide.
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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.