Evidence map›Paper›PMID 30922700›Full record

ArticleVaccine2019

Economic value of vaccinating geographically hard-to-reach populations with measles vaccine: A modeling application in Kenya.

Bruce Y Lee, Shawn T Brown, Leila A Haidari, Samantha Clark, Taiwo Abimbola, Sarah E Pallas, Aaron S Wallace, Elizabeth A Mitgang, Jim Leonard, Sarah M Bartsch and 3 more

Abstract read
In one paragraph

Article in Vaccine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
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

13 authors.

Bruce Y LeePublic Health Computational and Operations Research (PHICOR), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States; Global Obesity Prevention Center (GOPC), Johns Hopkins University, Baltimore, MD, United States. Electronic address: brucelee@jhu.edu.
Shawn T BrownPittsburgh Supercomputing Center (PSC), Carnegie Mellon University, Pittsburgh, PA, United States; McGill Centre for Integrative Neuroscience, McGill Neurological Institute, McGill University, Montreal, Canada.
Leila A HaidariPittsburgh Supercomputing Center (PSC), Carnegie Mellon University, Pittsburgh, PA, United States.
Samantha ClarkThe Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute, University of Washington, Seattle, WA, United States.
Taiwo AbimbolaCenters for Disease Control and Prevention (CDC), Atlanta, GA, United States.
Sarah E PallasCenters for Disease Control and Prevention (CDC), Atlanta, GA, United States.
Aaron S WallaceCenters for Disease Control and Prevention (CDC), Atlanta, GA, United States.
Elizabeth A MitgangPublic Health Computational and Operations Research (PHICOR), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States; Global Obesity Prevention Center (GOPC), Johns Hopkins University, Baltimore, MD, United States.
Jim LeonardPittsburgh Supercomputing Center (PSC), Carnegie Mellon University, Pittsburgh, PA, United States.
Sarah M BartschPublic Health Computational and Operations Research (PHICOR), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States; Global Obesity Prevention Center (GOPC), Johns Hopkins University, Baltimore, MD, United States.
Tatenda T YemekeDivision of Practice Advancement and Clinical Education, UNC Eshelman School of Pharmacy, University of North Carolina - Chapel Hill, Chapel Hill, NC, United States.
Eli ZenkovPittsburgh Supercomputing Center (PSC), Carnegie Mellon University, Pittsburgh, PA, United States.
Sachiko OzawaDivision of Practice Advancement and Clinical Education, UNC Eshelman School of Pharmacy, University of North Carolina - Chapel Hill, Chapel Hill, NC, United States; Department of Maternal and Child Health, UNC Gillings School of Global Public Health, University of North Carolina - Chapel Hill, Chapel Hill, NC, United States.

Funding

MULTILEVEL SYSTEMS-ORIENTED CHILDHOOD OBESITY STUDY IN CHINAU54HD070725 · NICHD · JOHNS HOPKINS UNIVERSITY · PI CURRIERO, FRANK · 2011 to 2016
$15.9M
MIDAS Informatics Services Group (ISG)U24GM110707 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ESPINO, JESSI U, WAGNER, MICHAEL MATTHEW · 2014 to 2018
$11.6M
Developing Data-Driven Cancer ResearchersT32CA009168 · NCI · UNIVERSITY OF WASHINGTON · PI STEPHEN M SCHWARTZ, MICHAEL Chiao-An WU · 1985 to 2026
$10.1M
Virtual Population Obesity Prevention (VPOP) Labs: Computational, Multi-Scale Models for Obesity SolutionsU01HD086861 · NICHD · JOHNS HOPKINS UNIVERSITY · PI LEE, BRUCE Y · 2015 to 2019
$2.8M
AHRQ HHS R01 HS023317Intramural CDC HHS CC999999NCI NIH HHS T32 CA009168NICHD NIH HHS U01 HD086861NICHD NIH HHS U54 HD070725NIGMS NIH HHS U24 GM110707
6 · The paper itself

Abstract

backgroundSince special efforts are necessary to vaccinate people living far from fixed vaccination posts, decision makers are interested in knowing the economic value of such efforts.

methodsUsing our immunization geospatial information system platform and a measles compartment model, we quantified the health and economic value of a 2-dose measles immunization outreach strategy for children <24 months of age in Kenya who are geographically hard-to-reach (i.e., those living outside a specified catchment radius from fixed vaccination posts, which served as a proxy for access to services).

findingsWhen geographically hard-to-reach children were not vaccinated, there were 1427 total measles cases from 2016 to 2020, resulting in $9.5 million ($3.1-$18.1 million) in direct medical costs and productivity losses and 7504 (3338-12,903) disability-adjusted life years (DALYs). The outreach strategy cost $76 ($23-$142)/DALY averted (compared to no outreach) when 25% of geographically hard-to-reach children received MCV1, $122 ($40-$226)/DALY averted when 50% received MCV1, and $274 ($123-$478)/DALY averted when 100% received MCV1.

conclusionOutreach vaccination among geographically hard-to-reach populations was highly cost-effective in a wide variety of scenarios, offering support for investment in an effective outreach vaccination strategy.

Indexed as

Cost-Benefit AnalysisRisk FactorsGeography, MedicalHumansKenyaMeaslesMeasles VaccineModels, TheoreticalPopulation SurveillanceVaccinationMeasles VaccineEconomicHard-to-reach populationsVaccination

Identifiers

PMID30922700
PMCPMC6487493

What OpenQuestion holds

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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.