Seasonal surveillance of dengue in the EU/EEA
Epidemiology
Outside the lab
New papers, science news and outbreak notices in AI for science, epidemiology and mathematical modelling, gathered automatically from public feeds.
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The research radar was last updated on November 13, 2026. The list is hidden because it is out of date. It returns with the next update.
Epidemiology
AI for science
Public health agencies need to anticipate how outbreaks will unfold, when they will peak, and how long demand on health services will remain elevated.
EpidemiologyMathematical modelling
Case line lists, which record dates of onset, recovery, and hospitalisation, are among the most granular data in infectious disease epidemiology and can provide insights into transmission dynamics.
EpidemiologyMathematical modelling
Multiple recent yellow fever (YF) outbreaks have occurred despite a highly effective vaccine.
EpidemiologyMathematical modelling
Measles outbreaks are increasing in frequency globally as vaccine coverage decreases.
EpidemiologyMathematical modelling
Epstein- Barr virus (EBV) infects over 90% of adults worldwide, causing infectious mononucleosis (IM) in adolescents and young adults and contributing to multiple malignancies.
EpidemiologyMathematical modelling
The modern enormous scale of viral genomic data, as exemplified by SARS-CoV-2, presents unique opportunities for epidemic inference and real-time monitoring.
EpidemiologyMathematical modelling
We study Bayesian inference of persistence from early observations of a heterogeneous susceptible--infected--susceptible (SIS) reaction--diffusion model with standard incidence.
EpidemiologyMathematical modelling
Fractional-order epidemic models are often justified by memory, yet whether memory improves forecasts is rarely tested out of sample.
EpidemiologyMathematical modelling
Epidemic outbreaks are often asynchronous across regions, yet collaborative forecasting is hampered by privacy laws and heterogeneous public health interventions.
AI for scienceEpidemiologyMathematical modelling
In response to the COVID-19 pandemic, most EU/EEA countries sequentially introduced non-pharmaceutical interventions (NPIs) to reduce social contacts and mitigate transmission.
EpidemiologyMathematical modelling
Malaria transmission in Senegal is seasonal and spatially heterogeneous, but the consistency of dynamical malaria models with routine surveillance has rarely been tested with monthly subnational data.
EpidemiologyMathematical modelling
AI for science
The Viral Infection Risk Indoor Simulator (VIRIS) [Xue et al. 2024] combines architectural layout, people movement, and airborne transmission modelling to predict infection risk in indoor spaces.
EpidemiologyMathematical modelling
Epidemic waves are often shaped by uncertain external drivers, such as environmental variability or behavioral and policy changes, that can randomly amplify or dampen transmission.
EpidemiologyMathematical modelling
During the SARS-CoV-2 pandemic, wastewater-based epidemiology emerged as an effective tool for monitoring infection dynamics.
EpidemiologyMathematical modelling
EpidemiologyMathematical modelling
Epidemiology
Epidemiology
AI for science
AI for science
EpidemiologyMathematical modelling
Epidemiology
Seasonal influenza follows annual cycles, but variation in epidemic magnitude and timing complicates preparedness.
EpidemiologyMathematical modelling
Infectious disease experts exchange practical knowledge through clinical discussions, but identifying relevant information across years of conversations is difficult.
AI for scienceEpidemiology
Epidemiology
Wastewater surveillance provides population-level evidence of infectious disease activity.
EpidemiologyMathematical modelling
During infectious disease outbreaks, short-term forecasts can play an important role for both decision makers and the general public.
EpidemiologyMathematical modelling
Emerging infectious diseases are a persistent public health threat that challenge deterministic, mechanistic modeling approaches.
EpidemiologyMathematical modelling
EpidemiologyMathematical modelling
Epidemiology
Longitudinal surveillance must choose each round's sampling design before the next observations arrive.
EpidemiologyMathematical modelling
AI for science
AI for scienceMathematical modelling
EpidemiologyMathematical modelling
EpidemiologyMathematical modelling
EpidemiologyMathematical modelling
Epidemiology
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This list is gathered automatically from the public feeds of the sources above. Titles are shown exactly as published. Where a line of text follows a title, it is the first sentence of the abstract, word for word. Inclusion is not an endorsement by the DIMMS Lab. Preprints have not been peer reviewed.