Genomic and statistical models to characterize Streptococcus pneumoniae transmission patterns in Malawi

Rory Cave1, James Chirombo2,3, Uri Obolski4

  • 1NIHR Global Health Research Group on Vaccines to Control Respiratory Pathogens and AMR across Africa, Institute of Infection, Immunity and Transplantation, University College London, London, UK.

Microbial Genomics
|April 9, 2026
PubMed

Insights

Pneumococcal conjugate vaccine (PCV) introduction in Malawi reduced transmission of Streptococcus pneumoniae, especially between nearby homes. Higher transmission risk was seen in young children in crowded, wealthier areas, linked to resistant strains.

Area of Science:

  • Microbiology
  • Epidemiology
  • Genomics

Background:

  • Controlling Streptococcus pneumoniae carriage and transmission in children is vital for disease prevention in high-burden regions.
  • Pneumococcal conjugate vaccines (PCVs) are key tools, but understanding transmission dynamics post-introduction is crucial.

Purpose of the Study:

  • To investigate the rate and drivers of Streptococcus pneumoniae transmission after the introduction of pneumococcal conjugate vaccine (PCV) in Blantyre, Malawi.
  • To identify factors influencing transmission, particularly in relation to vaccine use and population density.

Main Methods:

  • Whole-genome sequencing of S. pneumoniae from 1,617 children (vaccinated and unvaccinated) in Blantyre (2015-2019).
  • Analysis using generalized additive mixed models, relative risk frameworks, and logistic regression/random forest models incorporating geospatial data.

Main Results:

  • Pneumococcal lineages spread widely within approximately 4 years, with transmission primarily occurring between neighboring households.
  • Higher transmission risk was observed in preschool-aged children residing in densely populated, higher socioeconomic status areas.
  • Recent transmission events were associated with expanding, non-vaccine serotype lineages resistant to penicillin.

Conclusions:

  • Extended valency PCVs may reduce the spread of disease-causing and antimicrobial-resistant pneumococcal lineages among young children in high-density areas.
  • These vaccines can enhance herd protection for vulnerable populations, including infants and individuals with HIV.

Related Concept Videos

Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
720
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
337
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
1.2K