Unlocking the Potential of Genomic Data to Inform Typhoid Fever Control Policy: Supportive Resources for Genomic Data Generation, Analysis, and Visualization

Megan E. Carey, Zoe A. Dyson, Silvia Argimón, Louise Cerdeira, Corin Yeats, David Aanensen, Gerald Mboowa, Stephen Baker, Sofonias K. Tessema, Anthony M. Smith, Iruka N. Okeke, Kathryn E. Holt

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

The global response to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic demonstrated the value of timely and open sharing of genomic data with standardized metadata to facilitate monitoring of the emergence and spread of new variants. Here, we make the case for the value of Salmonella Typhi (S. Typhi) genomic data and demonstrate the utility of freely available platforms and services that support the generation, analysis, and visualization of S. Typhi genomic data on the African continent and more broadly by introducing the Africa Centres for Disease Control and Prevention's Pathogen Genomics Initiative, SEQAFRICA, Typhi Pathogenwatch, TyphiNET, and the Global Typhoid Genomics Consortium.

Original languageEnglish
Pages (from-to)S38-S46
JournalOpen Forum Infectious Diseases
Volume10
DOIs
Publication statusPublished - 2 Jun 2023

Keywords

  • analytic tools
  • data visualisation
  • genomics
  • Salmonella Typhi
  • typhoid fever

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