ReviewBMJ global health2025
Embedding risk monitoring in infectious disease surveillance for timely and effective outbreak prevention and control.
Review in BMJ global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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
8 citing papers in PubMed.
- The Al-Bahah Paradox: Divergent Patterns of Increased and Decreased Infectious Disease Incidence Relative to National Saudi Rates Over 12 Years of Surveillance.Saudi medical journal · 2026Article
- Seroprevalence of Infectious Bronchitis Virus Antibodies in Vaccinated Broilers from South-Western Romania (2018-2021): An ELISA-Based Survey.Veterinary sciences · 2026Article
- Comparative Performance of Wastewater, Clinical, and Digital Surveillance Indicators for COVID-19 Monitoring in Routine Practice: Retrospective Observational Study.Journal of medical Internet research · 2025Observational
- Modelling practices, data provisioning, sharing and dissemination needs for pandemic decision-making: a European survey-based modellers' perspective, 2020 to 2022.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025Article
- Crowdsourced genomic surveillance for emerging pathogens: A 2025 public health strategy.Journal of public health research · 2025Article
- hMPV Outbreaks: Worldwide Implications of a Re-Emerging Respiratory Pathogen.Microorganisms · 2025Review
- Epidemic Dynamics and Intervention Measures in Campus Settings Based on Multilayer Temporal Networks.Entropy (Basel, Switzerland) · 2025Article
- Early detection of infectious diseases using wearable sensor data through personalized baseline deviation modelling.Digital healthArticle
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
Epidemic intelligence efforts aim to predict, timely detect and assess (re-)emerging pathogens, guide and evaluate infectious disease prevention or control. We emphasise the underused potential of integrating the monitoring of risks related to exposure, disease or death, particularly in settings where limited diagnostic capacity and access to healthcare hamper timely prevention/control measures. Monitoring One Health exposures, human behaviour, immunity, comorbidities, uptake of control measures or pathogen characteristics can complement facility-based surveillance in generating signals of imminent or ongoing outbreaks, and in targeting preventive/control interventions or epidemic preparedness to high-risk areas or subpopulations. Low-cost risk data sources include electronic medical records, existing household/patient/environmental surveys, Health and Demographic Surveillance Systems, medicine distribution and programmatic data. Public health authorities need to identify and prioritise risk data that effectively fill gaps in intelligence that facility-based surveillance can not timely or accurately answer, determine indicators to generate from the data, ensure data availability, regular analysis and dissemination.
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.