Evidence map›Paper›PMID 37202024›Full record

ArticleThe Lancet. Global health2023

Projecting the long-term economic benefits of reducing Shigella-attributable linear growth faltering with a potential vaccine: a modelling study.

Chloe Puett, John D Anderson, Karoun H Bagamian, Farzana Muhib, Suzanne Scheele, William P Hausdorff, Clint Pecenka

Abstract read
In one paragraph

Article in The Lancet. Global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Effects ofmedRxiv : the preprint server for health sciences · 2026
    Article
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  7. Reassessing potential economic value and health impact of effectiveBulletin of the World Health Organization · 2024
    Article
  8. ExploringVaccine: X · 2023
    Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Chloe PuettDepartment of Family, Population & Preventive Medicine, Program in Public Health, Health Sciences Center, Stony Brook University, Stony Brook, NY, USA. Electronic address: chloe.puett@stonybrook.edu.
John D AndersonBagamian Scientific Consulting, Gainesville, FL, USA.
Karoun H BagamianBagamian Scientific Consulting, Gainesville, FL, USA; Department of Environmental and Global Health, University of Florida, Gainesville, FL, USA.
Farzana MuhibPATH, Washington, DC, USA.
Suzanne ScheelePATH, Washington, DC, USA.
William P HausdorffPATH, Washington, DC, USA; Faculty of Medicine, Université Libre de Bruxelles, Brussels, Belgium.
Clint PecenkaPATH, Seattle, WA, USA.

Funding

Wellcome TrustWellcome Trust 221988/Z/20/Z
6 · The paper itself

Abstract

backgroundLinear growth is an important outcome of child development with implications for economic productivity. Enteric infections, particularly Shigella, have been linked to linear growth faltering (LGF). However, benefits from potential reductions in LGF are rarely included in economic analyses of enteric infections. We aimed to quantify the economic benefits of vaccination related to reduced Shigella-attributable disease and associated LGF compared with the net costs of a vaccine programme.

methodsIn this benefit-cost analysis, we modelled productivity benefits in 102 low-income and middle-income countries that had recent stunting estimates available, at least one Shigella-attributable death annually, and available economic data, particularly on gross national income and growth rate projections. We modelled benefits strictly related to linear growth improvements and no other benefits associated with reducing diarrhoeal burden. The effect size in each country was calculated as shifts in height-for-age Z score (HAZ), representing population average changes for preventing Shigella-attributable less-severe diarrhoea and moderate-to-severe diarrhoea separately for children younger than 5 years. Benefits data were calculated per country and combined with estimated net costs of the vaccine programme in the form of benefit-cost ratios (BCRs); BCRs above parity, or $1 in benefits per $1 in costs (with a 10% margin representing borderline results: 1·10:1), were considered cost-beneficial. Countries were aggregated for analysis by WHO region, World Bank income category, and eligibility for support from Gavi, the Vaccine Alliance.

findingsIn the base-case scenario, all regions exhibited cost-beneficial results, with the South-East Asia region and Gavi-eligible countries exhibiting the highest BCRs (21·67 for the South-East Asia region and 14·45 for Gavi-eligible countries), and the Eastern Mediterranean region yielding the lowest BCRs (2·90). All regions exhibited cost-beneficial results from vaccination, except in more conservative scenarios (eg, those assuming early retirement ages and higher discount rates). Our findings were sensitive to assumed returns for increased height, assumptions about vaccine efficacy against linear growth detriments, the anticipated shift in HAZ, and discount rate. Incorporating the productivity benefits of LGF reduction into existing cost-effectiveness estimates resulted in longer-term cost-savings in nearly all regions.

interpretationLGF is a secondary outcome of Shigella infection and reduction in LGF is not often quantified as a health or economic benefit of vaccination. However, even under conservative assumptions, a Shigella vaccine only moderately effective against LGF could pay for itself from productivity gains alone in some regions. We recommend that LGF be considered in future models assessing the economic and health impacts of interventions preventing enteric infections. Further research is needed on vaccine efficacy against LGF to inform such models.

fundingBill & Melinda Gates Foundation, Wellcome Trust.

Indexed as

ShigellaVaccinesChildChild DevelopmentCost-Benefit AnalysisDiarrheaGrowth DisordersHumansVaccines

Identifiers

PMID37202024
PMCPMC10205973

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.