Epidemiological methods in transition: Minimizing biases in classical and digital approaches.
Epidemiology and Public Health have increasingly relied on structured and unstructured data, collected inside and outside of typical health systems, to study, identify, and mitigate diseases at the population level. Focusing on infectious diseases, we review the state of Digital Epidemiology at the...
Saved in:
Main Authors: | Sara Mesquita, Lília Perfeito, Daniela Paolotti, Joana Gonçalves-Sá |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2025-01-01
|
Series: | PLOS Digital Health |
Online Access: | https://doi.org/10.1371/journal.pdig.0000670 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Minimal operational theories: classical theories with quantum features
by: Davide Rolino, et al.
Published: (2025-01-01) -
Comparison of Parametric and Nonparametric Methods for Analyzing the Bias of a Numerical Model
by: Isaac Mugume, et al.
Published: (2016-01-01) -
The Intuitive Trap: Understanding Cognitive Bias in the Digital Age
by: Cansu Akoglan
Published: (2024-12-01) -
Bias Disclosures, Complicated Mice and a Digital Diss
Published: (2001-01-01) -
Digital Camouflage Pattern Design Based on the Biased Random Walk
by: Yuanying Gan, et al.
Published: (2022-01-01)