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Country-Wide Hepatitis C Virus Transmission Networks Among People Who Inject Drugs in Kenya

20 Pages Posted: 22 Jan 2024

See all articles by Matthew Akiyama

Matthew Akiyama

Yeshiva University - Albert Einstein College of Medicine

Yury Khudyakov

Government of the United States of America - Centers for Disease Control and Prevention (CDC)

Sumathi Ramachandran

Government of the United States of America - Molecular Epidemiology and Bioinformatics Laboratory

Lindsey Riback

Yeshiva University - Albert Einstein College of Medicine

Maxwell Ackerman

Yeshiva University - Albert Einstein College of Medicine

Mercy Nyakowa

Government of Kenya - Kenya Ministry of Health

Leonard Arthur

Government of the United States of America - Centers for Disease Control and Prevention (CDC)

John Lizcano

Yale University

Josephine Walker

University of Bristol - Department of Population Health Sciences

Peter Cherutich

Government of Kenya - Kenya Ministry of Health

Ann Kurth

Yale University

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Abstract

BackgroundHepatitis C virus (HCV) infection is a global health problem especially among people who inject drugs (PWID). Low-and-middle income countries (LMIC) carry a high burden of HCV, but little is known about the HCV transmission dynamics in these settings.MethodsWe recruited PWID in Nairobi and coastal cities of Mombasa, Kilifi and Malindi in Kenya at needle and syringe programs using respondent-driven sampling. Next-generation sequencing (NGS) data from HCV hypervariable region 1 were analyzed using Global Hepatitis Outbreak and Surveillance Technology (GHOST) to identify transmission clusters.ResultsHCV strains belonged to genotype 1a (HCV/1a, n=64, 46.0%), 4a (HCV/4a, n=72, 51.8%), and n=3 (2.2%) were mixed HCV/1a/4a. HCV/1a was dominant (61.2%) in Nairobi and HCV/4a in Malindi (85.7%) and Kilifi (60.9%), both genotypes were evenly sampled in Mombasa (45.3%, for HCV/1a and 50.9% for HCV/4a). GHOST identified 11 transmission clusters involving 90 cases. HCV strains in the two large clusters (n=38 predominantly HCV/4a, and n=32 HCV/1a) were sampled from all four cities. The remaining 9 clusters ranged in size from 2-4 cases.ConclusionTransmission clusters involving 64.7% of cases indicate an effective sampling of major HCV strains circulating among PWID. Large clusters involving 77.8% of all clustered HCV strains from Nairobi and Coast suggest a successful introduction of two ancestral HCV/1a and HCV/4a strains to PWID, progeny of which widely spread across the country. The findings indicate the existence of a country-wide transmission network, disruption of which is essential for a national HCV elimination strategy, prioritizing such sites as Mombasa for reducing transmission.

Keywords: Hepatitis C, people who inject drugs (PWID), next-generation sequencing (NGS), GHOST, transmission network, Kenya

Suggested Citation

Akiyama, Matthew and Khudyakov, Yury and Ramachandran, Sumathi and Riback, Lindsey and Ackerman, Maxwell and Nyakowa, Mercy and Arthur, Leonard and Lizcano, John and Walker, Josephine and Cherutich, Peter and Kurth, Ann, Country-Wide Hepatitis C Virus Transmission Networks Among People Who Inject Drugs in Kenya. Available at SSRN: https://ssrn.com/abstract=4700104 or http://dx.doi.org/10.2139/ssrn.4700104

Matthew Akiyama (Contact Author)

Yeshiva University - Albert Einstein College of Medicine ( email )

Jack and Pearl Resnick Campus
1300 Morris Park Avenue
Bronx, NY 10461
United States

Yury Khudyakov

Government of the United States of America - Centers for Disease Control and Prevention (CDC) ( email )

Sumathi Ramachandran

Government of the United States of America - Molecular Epidemiology and Bioinformatics Laboratory ( email )

Atlanta, GA 30329-4027
United States

Lindsey Riback

Yeshiva University - Albert Einstein College of Medicine ( email )

Jack and Pearl Resnick Campus
1300 Morris Park Avenue
Bronx, NY 10461
United States

Maxwell Ackerman

Yeshiva University - Albert Einstein College of Medicine ( email )

Jack and Pearl Resnick Campus
1300 Morris Park Avenue
Bronx, NY 10461
United States

Mercy Nyakowa

Government of Kenya - Kenya Ministry of Health ( email )

P.O. Box 30016
Nairobi, GPO 00100
Kenya

Leonard Arthur

Government of the United States of America - Centers for Disease Control and Prevention (CDC) ( email )

John Lizcano

Yale University ( email )

Josephine Walker

University of Bristol - Department of Population Health Sciences ( email )

Tyndall Avenue, Senate House
Bristol, BS8 1TH
United Kingdom

Peter Cherutich

Government of Kenya - Kenya Ministry of Health ( email )

P.O. Box 30016
Nairobi, GPO 00100
Kenya

Ann Kurth

Yale University ( email )

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