Incidence estimation from sentinel surveillance data; a simulation study and application to data from the Belgian laboratory sentinel surveillance
Abstract Background Inverse probability weighting (IPW) methods can be used to estimate the total number of cases from the sample collected through sentinel surveillance. Central to these methods are the inverse weights which can be derived in several ways and, in this case, represent the probabilit...
Saved in:
Main Authors: | Toon Braeye (Author), Sophie Quoilin (Author), Niel Hens (Author) |
---|---|
Format: | Book |
Published: |
BMC,
2019-07-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Investigating exposure of Belgian employees to hazardous chemicals through sentinel surveillance
by: Sara Pauwels, et al.
Published: (2022) -
Bigger and Better? Representativeness of the Influenza A Surveillance Using One Consolidated Clinical Microbiology Laboratory Data Set as Compared to the Belgian Sentinel Network of Laboratories
by: Sigi Van den Wijngaert, et al.
Published: (2019) -
Use of Sentinel Surveillance Platforms for Monitoring SARS-CoV-2 Activity: Evidence From Analysis of Kenya Influenza Sentinel Surveillance Data
by: Daniel Owusu, et al.
Published: (2024) -
Is the HIV sentinel surveillance system adequate in China? Findings from an evaluation of the national HIV sentinel surveillance system
by: Marc Bulterys, et al.
Published: (2012) -
Epidemiology of influenza in Nigeria: A secondary analysis of the sentinel surveillance data in Nigeria from 2010 - 2020
by: Adejoke Akano, et al.
Published: (2024)