Completed Infection & Immunity Public Health & Healthcare

Using pneumococcal carriage and invasiveness to inform vaccine policy in tropical Africa

In plain English

AI plain-English summary

Children in tropical Africa carry multiple strains of pneumonia-causing bacteria in their noses, and researchers want to use those harmless carriage samples to predict which strains will cause deadly disease. Pneumococcal conjugate vaccines work well in clinical trials, but their real-world impact varies wildly across African countries. Most nations lack the expensive surveillance systems needed to track invasive disease—where bacteria escape the nose and infect blood or brain. This project turns a weakness into a strength: instead of waiting for sick children to reach hospitals, researchers will swab healthy children’s noses and use the bacteria they find there to estimate disease burden. By analysing existing data on carriage and invasive disease, the team will calculate each serotype’s “invasiveness”—how likely it is to cause severe illness when carried. They will then run carriage surveys in the Democratic Republic of Congo, Ethiopia, and Nigeria, convert those results into disease estimates, and feed them into transmission models that predict which vaccination policies would work best locally. If successful, this approach could replace costly invasive-disease surveillance with cheap, repeatable carriage studies. That would let African health ministries optimise vaccine programmes without waiting for children to die. The researchers will also test key assumptions—whether a single dominant strain drives invasion, and whether serotype alone determines risk—using stored samples from Kilifi, Kenya.

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Despite strong evidence of efficacy, Pneumococcal Conjugate Vaccines have unpredictable impacts at population level and are expensive. Continuous monitoring of invasive pneumococcal disease is required to optimise programme implementation but few African countries have such surveillance. I propose to investigate nasopharyngeal carriage as a proxy surveillance tool and estimate disease burden from the ‘invasiveness’ of carried pneumococci; serotype-specific invasiveness is likely to be relatively stable and geographic variation may be explicable through observable epidemiological factors. I will estimate invasiveness for each serotype by analysing all available linked data on carriage/invasive disease. Next, I will work with epidemiologists in DRC, Ethiopia and Nigeria to undertake sequential carriage studies and convert carriage data into population estimates of disease burden. With mathematical modellers at LSHTM, I will fit transmission models to these data to predict the outcome of potential policy options and share these predictions with in-country policy collaborators. This approach assumes that estimates of invasiveness are not confounded by temporal fluctuations in carriage data; that invasion is determined only by the ‘dominant’ strain in multiple-serotype carriage; and that serotype is the principal phenotype driving invasion. I will test these assumptions with colleagues at the Sanger Institute using bio-banked specimens from Kilifi.

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Researchers

J Scott (EPMC Awardee)

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Original classification

Senior Research Fellowship Renewal

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