Variation in pneumococcal invasiveness metrics is driven by serotype carriage duration and initial risk of disease

Streptococcus pneumoniae is an opportunistic pathogen that, while usually carried asymptomatically, can cause severe invasive diseases like meningitis and bacteremic pneumonia. A central goal in S. pneumoniae public health management is to identify which serotypes (immunologically distinct strains)...

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Main Authors: Benjamin J. Metcalf, Kristofer Wollein Waldetoft, Bernard W. Beall, Sam P. Brown
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Epidemics
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1755436523000671
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author Benjamin J. Metcalf
Kristofer Wollein Waldetoft
Bernard W. Beall
Sam P. Brown
author_facet Benjamin J. Metcalf
Kristofer Wollein Waldetoft
Bernard W. Beall
Sam P. Brown
author_sort Benjamin J. Metcalf
collection DOAJ
description Streptococcus pneumoniae is an opportunistic pathogen that, while usually carried asymptomatically, can cause severe invasive diseases like meningitis and bacteremic pneumonia. A central goal in S. pneumoniae public health management is to identify which serotypes (immunologically distinct strains) pose the most risk of invasive disease. The most common invasiveness metrics use cross-sectional data (i.e., invasive odds ratios (IOR)), or longitudinal data (i.e., attack rates (AR)). To assess the reliability of these metrics we developed an epidemiological model of carriage and invasive disease. Our mathematical analyses illustrate qualitative failures with the IOR metric (e.g., IOR can decline with increasing invasiveness parameters). Fitting the model to both longitudinal and cross-sectional data, our analysis supports previous work indicating that invasion risk is maximal at or near time of colonization. This pattern of early invasive disease risk leads to substantial (up to 5-fold) biases when estimating underlying differences in invasiveness from IOR metrics, due to the impact of carriage duration on IOR. Together, these results raise serious concerns with the IOR metric as a basis for public health decision-making and lend support for multiple alternate metrics including AR.
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spelling doaj.art-dacb1dd08b9742848b9b50adb8d891042023-12-16T06:06:45ZengElsevierEpidemics1755-43652023-12-0145100731Variation in pneumococcal invasiveness metrics is driven by serotype carriage duration and initial risk of diseaseBenjamin J. Metcalf0Kristofer Wollein Waldetoft1Bernard W. Beall2Sam P. Brown3School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia; Center for Microbial Dynamics and Infection, Georgia Institute of Technology, Atlanta, Georgia; Centers for Disease Control and Prevention, Atlanta, Georgia; Corresponding authors at: School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia.School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia; Center for Microbial Dynamics and Infection, Georgia Institute of Technology, Atlanta, Georgia; Torsby Hospital, Torsby, SwedenCenters for Disease Control and Prevention, Atlanta, GeorgiaSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia; Center for Microbial Dynamics and Infection, Georgia Institute of Technology, Atlanta, Georgia; Corresponding authors at: School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia.Streptococcus pneumoniae is an opportunistic pathogen that, while usually carried asymptomatically, can cause severe invasive diseases like meningitis and bacteremic pneumonia. A central goal in S. pneumoniae public health management is to identify which serotypes (immunologically distinct strains) pose the most risk of invasive disease. The most common invasiveness metrics use cross-sectional data (i.e., invasive odds ratios (IOR)), or longitudinal data (i.e., attack rates (AR)). To assess the reliability of these metrics we developed an epidemiological model of carriage and invasive disease. Our mathematical analyses illustrate qualitative failures with the IOR metric (e.g., IOR can decline with increasing invasiveness parameters). Fitting the model to both longitudinal and cross-sectional data, our analysis supports previous work indicating that invasion risk is maximal at or near time of colonization. This pattern of early invasive disease risk leads to substantial (up to 5-fold) biases when estimating underlying differences in invasiveness from IOR metrics, due to the impact of carriage duration on IOR. Together, these results raise serious concerns with the IOR metric as a basis for public health decision-making and lend support for multiple alternate metrics including AR.http://www.sciencedirect.com/science/article/pii/S1755436523000671Streptococcus pneumoniaeInvasive diseaseVirulenceCompartmental modelCarriage duration
spellingShingle Benjamin J. Metcalf
Kristofer Wollein Waldetoft
Bernard W. Beall
Sam P. Brown
Variation in pneumococcal invasiveness metrics is driven by serotype carriage duration and initial risk of disease
Epidemics
Streptococcus pneumoniae
Invasive disease
Virulence
Compartmental model
Carriage duration
title Variation in pneumococcal invasiveness metrics is driven by serotype carriage duration and initial risk of disease
title_full Variation in pneumococcal invasiveness metrics is driven by serotype carriage duration and initial risk of disease
title_fullStr Variation in pneumococcal invasiveness metrics is driven by serotype carriage duration and initial risk of disease
title_full_unstemmed Variation in pneumococcal invasiveness metrics is driven by serotype carriage duration and initial risk of disease
title_short Variation in pneumococcal invasiveness metrics is driven by serotype carriage duration and initial risk of disease
title_sort variation in pneumococcal invasiveness metrics is driven by serotype carriage duration and initial risk of disease
topic Streptococcus pneumoniae
Invasive disease
Virulence
Compartmental model
Carriage duration
url http://www.sciencedirect.com/science/article/pii/S1755436523000671
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