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Bridging the data gaps in the epidemiology of hepatitis C virus infection in Malaysia using multi-parameter evidence synthesis

McDonald SA 1 , Mohamed R 2 , Dahlui M 3 , Naning H 4 , Kamarulzaman A 5

Affiliations 

  • 1 Centre of Excellence for Research in AIDS (CERiA), University of Malaya, Kuala Lumpur, Malaysia. scott.mcdonald@rivm.nl
  • 2 Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia. ros@ummc.edu.my
  • 3 Julius Centre, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia. maznahd@ummc.edu.my
  • 4 Centre of Excellence for Research in AIDS (CERiA), University of Malaya, Kuala Lumpur, Malaysia. dobie.herlianna@gmail.com
  • 5 Centre of Excellence for Research in AIDS (CERiA), University of Malaya, Kuala Lumpur, Malaysia. adeeba@ummc.edu.my
BMC Infect Dis, 2014;14:564.
PMID: 25377240 DOI: 10.1186/s12879-014-0564-6

Abstract

Collecting adequate information on key epidemiological indicators is a prerequisite to informing a public health response to reduce the impact of hepatitis C virus (HCV) infection in Malaysia. Our goal was to overcome the acute data shortage typical of low/middle income countries using statistical modelling to estimate the national HCV prevalence and the distribution over transmission pathways as of the end of 2009.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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