Ontology highlight
ABSTRACT: Background
Relevant seroprevalence data for endemic pathogens in a given region provide insight not only into a population's susceptibility to acute infection or risk for reactivation disease but also into the potential need for policy initiatives aimed at reducing these risks. Data from sub-Saharan Africa are sparse and since Aga Khan University Hospital Nairobi is an internationally accredited hospital equipped with a laboratory electronic medical record system, analysis of pertinent local seroprevalence data has been made possible.Methods
We have analyzed serology data from laboratory electronic records at a 300 bed tertiary private teaching hospital in Kenya for the dates, 2008 to 2017 for Toxoplasma gondii, cytomegalovirus, and rubella, which were used primarily for an
SUBMITTER: Nisbet AI
PROVIDER: S-EPMC6191086 | biostudies-literature | 2018
REPOSITORIES: biostudies-literature