Patterns and scales in infectious disease surveillance data: an exploratory data analysis approach

Author(s):
Soetens, L.C.
Published
2021
Publication type
Doctoral Thesis

Abstract

The increasing amount and complexity of data over the past decades have given rise to new sorts of questions, also in the field of infectious disease epidemiology. This thesis proposes methods to analyze data available at multiple resolution levels and to combine different data types in infectious disease surveillance. Hereby using techniques central to data science.

Infectious disease surveillanceExploratory data analysisEpidemiologyData patternsData resolutionData types
Defense date
2021-12-15
Language
English
Supervisor(s)
Wallinga, J.
Advisor(s)
Hahné, S.J.M.
Committee member(s)
Cessie, S. le; Putter, H.; Sande, M.A.B. van der; Hoebe, C.J.P.A.
Qualification
Ph.D.
Degree granting institution
Faculty of Medicine, Leiden University Medical Center (LUMC), Leiden University, Leiden
hdl
1887/3247049
ISBN(s)
9789464193442

Funding

Sponsorship
National Institute for Public Health and the Environment (RIVM)