Evidence map›Paper›PMID 41206133›Full record

SynthesisBMJ global health2025

Estimating the economic burden of invasive non-typhoidal

Jung-Seok Lee, Yongha Hwang, Calman Alexander MacLennan, Mark Jit, Jean-Louis Excler, Jerome H Kim

Abstract readSystematic Review
In one paragraph

Synthesis in BMJ global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jung-Seok LeePolicy and Economic Research, International Vaccine Institute, Seoul, Korea (the Republic of) jungseoklee@gmail.com.ORCID 0000-0002-1038-8948
Yongha HwangPolicy and Economic Research, International Vaccine Institute, Seoul, Korea (the Republic of).
Calman Alexander MacLennanEnteric and Diarrheal Diseases, Bill and Melinda Gates Foundation, Seattle, Washington, USA.
Mark JitDepartment of Global and Environmental Health, New York University, New York, New York, USA.
Jean-Louis ExclerBusiness Development, International Vaccine Institute, Seoul, Korea (the Republic of).ORCID 0000-0002-6462-5101
Jerome H KimInternational Vaccine Institute, Gwanak-gu, Korea (the Republic of).

Funding

Wellcome Trust
6 · The paper itself

Abstract

introductionInvasive non-typhoidal

methodsSeveral multivariate regression models were parameterised with the data obtained from an existing systematic literature review on the economic burden of iNTS disease and all forms of NTS disease. Various model diagnostics were performed to validate the statistical significance of each model outcome, and the most suitable model was selected to predict costs in countries where no data points were available.

resultsA generalised linear model with gamma distribution with log link was chosen based on model diagnostics. While the average economic burden per iNTS disease episode ranged from US$341 in Africa to US$2194 in Europe, the total economic burden of iNTS disease was the highest in Africa due to the high burden of the disease in the region.

conclusionThe current study indicates that the economic burden of iNTS disease is substantial. Given the scarcity of field-based iNTS disease economic burden estimates, cost extrapolation through an econometric framework can be helpful for understanding the associated cost implications in a resource-limited setting and for informing the cost-effectiveness of public health interventions including future vaccination strategies.

Indexed as

Cost of IllnessDeveloping CountriesSalmonella InfectionsGlobal HealthHumansGlobal HealthHealth economicsHealth policy

Identifiers

PMID41206133
PMCPMC12603720

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.