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Carriage Dynamics of Pneumococcal Serotypes in Naturally Colonized Infants in a Rural African Setting During the First Year of Life

  • Chrispin Chaguza
  • , Madikay Senghore
  • , Ebrima Bojang
  • , Stephanie W. Lo
  • , Chinelo Ebruke
  • , Rebecca A. Gladstone
  • , Peggy Estelle Tientcheu
  • , Rowan E. Bancroft
  • , Archibald Worwui
  • , Ebenezer Foster-Nyarko
  • , Fatima Ceesay
  • , Catherine Okoi
  • , Lesley McGee
  • , Keith P. Klugman
  • , Robert F. Breiman
  • , Michael R. Barer
  • , Richard A. Adegbola
  • , Martin Antonio
  • , Stephen D. Bentley
  • , Brenda Kwambana
  • Wellcome Sanger Institute
  • University of Cambridge
  • London School of Hygiene and Tropical Medicine
  • Centers for Disease Control and Prevention
  • Emory University
  • University of Leicester
  • RAMBICON Immunisation Global Health Consulting
  • University of Warwick
  • University College London

Research output: Contribution to journalArticlepeer-review

19 Citations (Scopus)

Abstract

Streptococcus pneumoniae (the pneumococcus) carriage precedes invasive disease and influences population-wide strain dynamics, but limited data exist on temporal carriage patterns of serotypes due to the prohibitive costs of longitudinal studies. Here, we report carriage prevalence, clearance and acquisition rates of pneumococcal serotypes sampled from newborn infants bi-weekly from weeks 1 to 27, and then bi-monthly from weeks 35 to 52 in the Gambia. We used sweep latex agglutination and whole genome sequencing to serotype the isolates. We show rapid pneumococcal acquisition with nearly 31% of the infants colonized by the end of first week after birth and quickly exceeding 95% after 2 months. Co-colonization with multiple serotypes was consistently observed in over 40% of the infants at each sampling point during the first year of life. Overall, the mean acquisition time and carriage duration regardless of serotype was 38 and 24 days, respectively, but varied considerably between serotypes comparable to observations from other regions. Our data will inform disease prevention and control measures including providing baseline data for parameterising infectious disease mathematical models including those assessing the impact of clinical interventions such as pneumococcal conjugate vaccines.
Original languageEnglish
Article number587730
JournalFrontiers in Pediatrics
Volume8
DOIs
Publication statusPublished - 8 Jan 2021
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • acquisition
  • Africa
  • carriage duration
  • infants
  • pneumococcus
  • serotype

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