Amazon.fr - Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology - Lawson, Andrew B. - Livres
A worldwide epidemiological database for COVID-19 at fine-grained spatial resolution | Scientific Data
Supervised Machine Learning Models for Prediction of COVID-19 Infection using Epidemiology Dataset | SpringerLink
Epidemiological data from the COVID-19 outbreak, real-time case information | Scientific Data
Leveraging electronic health records for data science: common pitfalls and how to avoid them - The Lancet Digital Health
Big Data for Epidemiology: Applied Data Analysis Using National Health Surveys – Simple Book Publishing
Defining genomic epidemiology thresholds for common-source bacterial outbreaks: a modelling study - The Lancet Microbe
Estimating disease prevalence in large datasets using genetic risk scores | Nature Communications
About us | Translational Epidemiology & Comparative Effectiveness Research
A global dataset of pandemic- and epidemic-prone disease outbreaks | Scientific Data
15 Importing Binary Files | R for Epidemiology
Mendeley Data Datasets - Journal of Clinical Epidemiology - Journal - Elsevier
Data collections - WHO
Rough Set Based Similarity Measures for Data Analytics in Spatial Epidemiology: Computer Science & IT Journal Article | IGI Global
Describing Epidemiologic Data | Epidemic Intelligence Service | CDC
Point prevalence survey database (HAI-Net)
Describing Epidemiologic Data | Epidemic Intelligence Service | CDC
Describing Epidemiologic Data | Epidemic Intelligence Service | CDC
Epidemiological data sets used in development of the spatial model for... | Download Table
