Cover Image

HIV incidence declines in a rural South African population: a G-imputation approach for inference

Ad hoc assumptions about the unobserved infection event, which is known only to occur between the latest-negative and earliest-positive test dates, can lead to biased HIV incidence rate estimates. Using a G-imputation approach, we infer the infection dates from covariate data to estimate the HIV inc...

Full description

Saved in:
Bibliographic Details
Main Authors: Vandormael, Alain (Author) , Cuadros, Diego (Author) , Dobra, Adrian (Author) , Bärnighausen, Till (Author) , Tanser, Frank (Author)
Format: Article (Journal)
Language:English
Published: 06 August 2020
In: BMC public health
Year: 2020, Volume: 20, Pages: 1-9
ISSN:1471-2458
DOI:10.1186/s12889-020-09193-4
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.1186/s12889-020-09193-4
Get full text
Author Notes:Alain Vandormael, Diego Cuadros, Adrian Dobra, Till Bärnighausen and Frank Tanser
Description
Summary:Ad hoc assumptions about the unobserved infection event, which is known only to occur between the latest-negative and earliest-positive test dates, can lead to biased HIV incidence rate estimates. Using a G-imputation approach, we infer the infection dates from covariate data to estimate the HIV incidence rate in a hyper-endemic South African setting.
Item Description:Gesehen am 18.09.2020
Physical Description:Online Resource
ISSN:1471-2458
DOI:10.1186/s12889-020-09193-4

Similar Items