ArticleYearbook of medical informatics2019
Public Health and Epidemiology Informatics: Can Artificial Intelligence Help Future Global Challenges? An Overview of Antimicrobial Resistance and Impact of Climate Change in Disease Epidemiology.
Article in Yearbook of medical informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed.
- Artificial intelligence for coordinating vaccine design, antiviral discovery, and real-world monitoring in the era of emerging and endemic viral threats.Frontiers in pharmacology · 2026Review
- Leveraging artificial intelligence for One Health: opportunities and challenges in tackling antimicrobial resistance - scoping review.One health outlook · 2025Article
- Climate Change and AMR: Interconnected Threats and One Health Solutions.Antibiotics (Basel, Switzerland) · 2025Review
- Artificial Intelligence in Biomedical Engineering and Its Influence on Healthcare Structure: Current and Future Prospects.Bioengineering (Basel, Switzerland) · 2025Review
- The challenge of antimicrobial resistance (AMR): current status and future prospects.Naunyn-Schmiedeberg's archives of pharmacology · 2024Review
- AMR and Sustainable Development Goals: at a crossroads.Globalization and health · 2024Review
- Tackling the Antimicrobial Resistance "Pandemic" with Machine Learning Tools: A Summary of Available Evidence.Microorganisms · 2024Review
- Innovative Phospholipid Carriers: A Viable Strategy to Counteract Antimicrobial Resistance.International journal of molecular sciences · 2023Review
- Artificial Intelligence to Improve Antibiotic Prescribing: A Systematic Review.Antibiotics (Basel, Switzerland) · 2023Review
- [Application areas of artificial intelligence in the context of One Health with a focus on antimicrobial resistance].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2023Review
- How Antimicrobial Resistance Is Linked to Climate Change: An Overview of Two Intertwined Global Challenges.International journal of environmental research and public health · 2023Review
- Application of Artificial Intelligence in Combating High Antimicrobial Resistance Rates.Antibiotics (Basel, Switzerland) · 2022Review
- Climate Change, Human Health, and Health Informatics: A New View of Connected and Sustainable Digital Health.Frontiers in digital health · 2022Review
- The role of AI technology in prediction, diagnosis and treatment of colorectal cancer.Artificial intelligence review · 2022Article
- Deep Machine Learning Model Trade-Offs for Malaria Elimination in Resource-Constrained Locations.Bioengineering (Basel, Switzerland) · 2021Article
- Artificial Intelligence in Surveillance, Diagnosis, Drug Discovery and Vaccine Development against COVID-19.Pathogens (Basel, Switzerland) · 2021Review
- Antimicrobial stewardship programs; a two-part narrative review of step-wise design and issues of controversy Part I: step-wise design of an antimicrobial stewardship program.Therapeutic advances in infectious diseaseReview
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
objectivesTo provide an oveiview of the current application of artificial intelligence (AI) in the field of public health and epidemiology, with a special focus on antimicrobial resistance and the impact of climate change in disease epidemiology. Both topics are of vital importance and were included in the "Ten threats to global health in 2019" report published by the World Health Organization.
methodsWe analysed publications that appeared in the last two years, between January 2017 and October 2018. Papers were searched using Google Scholar with the following keywords: public health, epidemiology, machine learning, data analytics, artificial intelligence, disease surveillance, climate change, antimicrobial resistance, and combinations thereof. Selected articles were organised by theme.
resultsIn spite of a large interest in AI generated both within and outside the scientific community, and of the many opinions pointing towards the importance of a better use of data in public health, few papers have been published on the selected topics in the last two years. We identify several potential reasons, including the complexity of the integration of heterogeneous data, and the lack of sound and unbiased validation procedures.
conclusionsAs there is a better comprehension of AI and more funding available, artificial intelligence will become not only the centre of attention in informatics, but more importantly the source of innovative solutions for public health.
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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.