Evidence map›Paper›PMID 28241011›Full record

ArticlePLoS neglected tropical diseases2017

The burden of typhoid fever in low- and middle-income countries: A meta-regression approach.

Marina Antillón, Joshua L Warren, Forrest W Crawford, Daniel M Weinberger, Esra Kürüm, Gi Deok Pak, Florian Marks, Virginia E Pitzer

Registry-linked trialAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05475379 (A Randomized Control, Double Blinded, Non-inferiority Trial to Evaluate the Immunogenicity and Safety of Typhoid Vi Conjugate Vaccine 'Typhocon' in Bangladeshi Healthy Population), which is not on this map. Cited by 189 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
189citing papers in PubMed, 13 pooled it
–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.

NCT05475379 phase1 / phase2completednot on this mapstarted 2022, after this paper: background citation

A Randomized Control, Double Blinded, Non-inferiority Trial to Evaluate the Immunogenicity and Safety of Typhoid Vi Conjugate Vaccine 'Typhocon' in Bangladeshi Healthy Population

TypeinterventionalSponsorInternational Centre for Diarrhoeal Disease Research, BangladeshRan2022 to 2023Enrolled630ConditionsTyphoidArmsTyphoid Vi polysaccharide-diphtheria toxoid conjugate vaccine (Vi-DT)
3 · Its place in the literature

Who cites it

189 citing papers in PubMed, 13 syntheses or guidelines pooled it.

  1. Risk Factors for Typhoid Fever: Systematic Review.JMIR public health and surveillance · 2025
    Pooled it
  2. Typhoid Fever in the Eastern Mediterranean Region: A Systematic Review, 1990-2021.The American journal of tropical medicine and hygiene · 2023
    Pooled it
  3. Pooled it
  4. Colorimetric Approach for Nucleic AcidInternational journal of environmental research and public health · 2022
    Pooled it
  5. Pooled it
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  7. A Systematic Review of Typhoid Fever Occurrence in Africa.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2019
    Pooled it
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  10. Global Typhoid Fever Incidence: A Systematic Review and Meta-analysis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2019
    Pooled it
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  12. Case Fatality Rate of Enteric Fever in Endemic Countries: A Systematic Review and Meta-analysis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2018
    Pooled it
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129 more citing papers are in PubMed but not listed here.

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

8 authors.

Marina AntillónDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.ORCID 0000-0002-0235-6030
Joshua L WarrenDepartment of Biostatistics, Yale School of Public Health, New Haven, Connecticut, United States of America.
Forrest W CrawfordDepartment of Biostatistics, Yale School of Public Health, New Haven, Connecticut, United States of America.
Daniel M WeinbergerDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.
Esra KürümDepartment of Statistics, University of California Riverside, Riverside, California, United States of America.
Gi Deok PakInternational Vaccine Institute, Seoul, Republic of Korea.
Florian MarksInternational Vaccine Institute, Seoul, Republic of Korea.
Virginia E PitzerDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Institutional Career Development CoreKL2TR001862 · NCATS · YALE UNIVERSITY · PI CANTLEY, LLOYD G, EDELMAN, E. JENNIFER · 2016 to 2025
$12.2M
NCATS NIH HHS KL2 TR001862NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

backgroundUpcoming vaccination efforts against typhoid fever require an assessment of the baseline burden of disease in countries at risk. There are no typhoid incidence data from most low- and middle-income countries (LMICs), so model-based estimates offer insights for decision-makers in the absence of readily available data.

methodsWe developed a mixed-effects model fit to data from 32 population-based studies of typhoid incidence in 22 locations in 14 countries. We tested the contribution of economic and environmental indices for predicting typhoid incidence using a stochastic search variable selection algorithm. We performed out-of-sample validation to assess the predictive performance of the model.

resultsWe estimated that 17.8 million cases of typhoid fever occur each year in LMICs (95% credible interval: 6.9-48.4 million). Central Africa was predicted to experience the highest incidence of typhoid, followed by select countries in Central, South, and Southeast Asia. Incidence typically peaked in the 2-4 year old age group. Models incorporating widely available economic and environmental indicators were found to describe incidence better than null models.

conclusionsRecent estimates of typhoid burden may under-estimate the number of cases and magnitude of uncertainty in typhoid incidence. Our analysis permits prediction of overall as well as age-specific incidence of typhoid fever in LMICs, and incorporates uncertainty around the model structure and estimates of the predictors. Future studies are needed to further validate and refine model predictions and better understand year-to-year variation in cases.

Indexed as

Developing CountriesGlobal HealthHumansIncidenceModels, StatisticalTyphoid Fever

Identifiers

PMID28241011
PMCPMC5344533

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.