| Literature DB >> 33755363 |
Arnaud Chiolero1,2,3, David Buckeridge3, Stéphane Cullati1,4.
Abstract
Public health surveillance is the systematic and ongoing collection, analysis and interpretation of data to produce information useful for decision-making. With the development of data science, surveillance methods are evolving through access to big data. More data does not automatically mean more information. For example, the massive amounts of data on Covid-19 was not easily transformed in useful information for decision-making. Further, data scientists have often difficulties to make their analyses useful for decision-making. For the implementation of evidence-based and data-driven public health practice, the culture of public health surveillance and population health monitoring needs to be strengthened.Entities:
Year: 2021 PMID: 33755363
Source DB: PubMed Journal: Rev Med Suisse ISSN: 1660-9379