Epidemiology
70 papers with code • 0 benchmarks • 1 datasets
Epidemiology is a scientific discipline that provides reliable knowledge for clinical medicine focusing on prevention, diagnosis and treatment of diseases. Research in Epidemiology aims at characterizing risk factors for the outbreak of diseases and at evaluating the efficiency of certain treatment strategies, e.g., to compare a new treatment with an established gold standard. This research is strongly hypothesis-driven and statistical analysis is the major tool for epidemiologists so far. Correlations between genetic factors, environmental factors, life style-related parameters, age and diseases are analyzed.
Source: Visual Analytics of Image-Centric Cohort Studies in Epidemiology
Benchmarks
These leaderboards are used to track progress in Epidemiology
PHM2017
Latest papers with no code
Kernel Density Estimation for Multiclass Quantification
Several disciplines, like the social sciences, epidemiology, sentiment analysis, or market research, are interested in knowing the distribution of the classes in a population rather than the individual labels of the members thereof.
Guidelines in Wastewater-based Epidemiology of SARS-CoV-2 with Diagnosis
With the global spread and increasing transmission rate of SARS-CoV-2, more and more laboratories and researchers are turning their attention to wastewater-based epidemiology (WBE), hoping it can become an effective tool for large-scale testing and provide more ac-curate predictions of the number of infected individuals.
An Explainable AI Approach to Large Language Model Assisted Causal Model Auditing and Development
We propose the use of large language models such as ChatGPT as an auditor for causal networks.
Sentiment Analysis and Text Analysis of the Public Discourse on Twitter about COVID-19 and MPox
Finally, a comprehensive comparative study that compares the contributions of this paper with 49 prior works in this field is presented to further uphold the relevance and novelty of this work.
Algorithmic approach for an unique definition of the next generation matrix
We also present examples where other choices may be more reasonable, with more terms in F, or more terms in V .
Population mobility, well-mixed clustering and disease spread: a look at COVID-19 Spread in the United States and preventive policy insights
The epidemiology of pandemics is classically viewed using geographical and political borders; however, these artificial divisions can result in a misunderstanding of the current epidemiological state within a given region.
Creating a Discipline-specific Commons for Infectious Disease Epidemiology
Materials and Methods: We represented 586 datasets, 54 software, and 24 data formats in OWL 2 and then used logical queries to infer potentially interoperable combinations of software and datasets, as well as statistics about the FAIRness of the collection.
Reaction-diffusion equations in mathematical models arising in epidemiology
The review is devoted to analysis of mathematical models used for describing epidemic processes.
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data
Under unconfoundedness, we target the Individual Treatment Effect (ITE) estimation with unobserved heterogeneity in the treatment response due to missing risk factors.
A Generalization Bound of Deep Neural Networks for Dependent Data
Existing generalization bounds for deep neural networks require data to be independent and identically distributed (iid).
