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Genotyping indicates marked heterogeneity of tuberculosis transmission in the United States, 2009-2018

  • Carly A. Rodriguez
  • , Tenglong Li
  • , Julie L. Self
  • , Helen E. Jenkins
  • , Charles R. Horsburgh
  • , Laura F. White*
  • *Corresponding author for this work
  • Boston University
  • Centers for Disease Control and Prevention

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Heterogeneity in the number of secondary tuberculosis (TB) cases per source case, the effective reproductive number, R, is important in modelling prevention strategies' impact on incidence. We estimated mean R (Rm) and calculate the dispersion parameter of this distribution, k, using surveillance and genotyping data for U.S. cases during 2009-2018. We modelled transmission assuming cases in a cluster have matching genotypes and share characteristics related to geography, temporal proximity (i.e. serial interval) and time since U.S. arrival among non-U.S.-born persons. Complete data were available for 55 330/85 958 cases. Varying the serial interval and geographic proximity used to derive clusters, we consistently estimated Rm<1.0 and k < 0.08; the low value of k indicates a small number of source cases produce a disproportionate number of secondary cases. U.S. TB reproductive number has a highly skewed distribution, indicating a minority of source cases disproportionately contribute to transmission.

Original languageEnglish
Article numbere215
JournalEpidemiology and Infection
Volume149
DOIs
Publication statusPublished - 14 Sept 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

  • epidemiology
  • tuberculosis (TB)

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