Evidence map›Paper›PMID 25473851›Full record

ArticlePLoS neglected tropical diseases2014

Comparative effectiveness of different strategies of oral cholera vaccination in bangladesh: a modeling study.

Dobromir T Dimitrov, Christopher Troeger, M Elizabeth Halloran, Ira M Longini, Dennis L Chao

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 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.

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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Mathematical Modeling of Endemic Cholera Transmission.The Journal of infectious diseases · 2021
    Article
  6. Article
  7. Review
  8. Article
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  13. Article
  14. Seasonality and the effectiveness of mass vaccination.Mathematical biosciences and engineering : MBE · 2016
    Article
  15. 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

5 authors.

Dobromir T DimitrovCenter for Statistics and Quantitative Infectious Diseases; Vaccine and Infectious Disease Division; Fred Hutchinson Cancer Research Center; Seattle, Washington, United States of America.
Christopher TroegerCenter for Statistics and Quantitative Infectious Diseases; Vaccine and Infectious Disease Division; Fred Hutchinson Cancer Research Center; Seattle, Washington, United States of America.
M Elizabeth HalloranCenter for Statistics and Quantitative Infectious Diseases; Vaccine and Infectious Disease Division; Fred Hutchinson Cancer Research Center; Seattle, Washington, United States of America; Department of Biostatistics; University of Washington; Seattle, Washington, United States of America.
Ira M LonginiDepartment of Biostatistics; University of Florida; Gainesville, Florida, United States of America.
Dennis L ChaoCenter for Statistics and Quantitative Infectious Diseases; Vaccine and Infectious Disease Division; Fred Hutchinson Cancer Research Center; Seattle, Washington, United States of America.

Funding

EPIDEMIOLOGY &ECOLOGY OF VIBRIO CHOLERAE IN BANGLADESHR01AI039129 · NIAID · JOHNS HOPKINS UNIVERSITY · PI SACK, DAVID A · 1996 to 2014
$15.2M
Understanding Transmission with Integrated Genetic and Epidemiologic InferenceU54GM111274 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BEDFORD, TREVOR BC · 2014 to 2018
$12.5M
Methods for Evaluating Vaccine EfficacyR37AI032042 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI HALLORAN, M ELIZABETH · 2010 to 2019
$5.1M
NIAID NIH HHS R01 AI039129NIAID NIH HHS R37 AI032042NIAID NIH HHS R37 AI32042NIGMS NIH HHS U54 GM111274NIGMS NIH HHS U54GM111274
6 · The paper itself

Abstract

backgroundKilled, oral cholera vaccines have proven safe and effective, and several large-scale mass cholera vaccination efforts have demonstrated the feasibility of widespread deployment. This study uses a mathematical model of cholera transmission in Bangladesh to examine the effectiveness of potential vaccination strategies. METHODS &

findingsWe developed an age-structured mathematical model of cholera transmission and calibrated it to reproduce the dynamics of cholera in Matlab, Bangladesh. We used the model to predict the effectiveness of different cholera vaccination strategies over a period of 20 years. We explored vaccination programs that targeted one of three increasingly focused age groups (the entire vaccine-eligible population of age one year and older, children of ages 1 to 14 years, or preschoolers of ages 1 to 4 years) and that could occur either as campaigns recurring every five years or as continuous ongoing vaccination efforts. Our modeling results suggest that vaccinating 70% of the population would avert 90% of cholera cases in the first year but that campaign and continuous vaccination strategies differ in effectiveness over 20 years. Maintaining 70% coverage of the population would be sufficient to prevent sustained transmission of endemic cholera in Matlab, while vaccinating periodically every five years is less effective. Selectively vaccinating children 1-14 years old would prevent the most cholera cases per vaccine administered in both campaign and continuous strategies.

conclusionsWe conclude that continuous mass vaccination would be more effective against endemic cholera than periodic campaigns. Vaccinating children averts more cases per dose than vaccinating all age groups, although vaccinating only children is unlikely to control endemic cholera in Bangladesh. Careful consideration must be made before generalizing these results to other regions.

Indexed as

Administration, OralAdolescentBangladeshChildChild, PreschoolCholeraCholera VaccinesCost-Benefit AnalysisHumansInfantMaleMass VaccinationModels, TheoreticalMolecular Sequence DataCholera Vaccines

Identifiers

PMID25473851
PMCPMC4256212

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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.