Evidence map›Paper›PMID 36925172›Full record

SynthesisThe Lancet. Global health2023

Estimating national-level measles case-fatality ratios in low-income and middle-income countries: an updated systematic review and modelling study.

Alyssa N Sbarra, Jonathan F Mosser, Mark Jit, Matthew Ferrari, Rebecca E Ramshaw, Patrick O'Connor, L Kendall Krause, Emma L B Rogowski, Allison Portnoy

Open access · goldFull text readSystematic Review
In one paragraph

Synthesis 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 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
6.9field-weighted citation impact, top 2% of its field
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

22 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
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  5. The theory of epidemics with altruism.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  13. Progress Toward Measles Elimination - Worldwide, 2000-2023.MMWR. Morbidity and mortality weekly report · 2024
    Article
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  20. Progress Toward Measles Elimination - Worldwide, 2000-2022.MMWR. Morbidity and mortality weekly report · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 3 countries.

Alyssa N SbarraDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK; Institute of Health Metrics and Evaluation, University of Washington, Seattle, WA, USA. Electronic address: alyssa.sbarra@lshtm.ac.uk.
Jonathan F MosserInstitute of Health Metrics and Evaluation, University of Washington, Seattle, WA, USA; Department of Health Metrics Sciences, University of Washington, Seattle, WA, USA.
Mark JitDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Matthew FerrariDepartment of Biology, The Pennsylvania State University, University Park, PA, USA.
Rebecca E RamshawInstitute of Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Patrick O'ConnorDepartment of Immunization, Vaccines, and Biologicals, WHO, Geneva, Switzerland.
L Kendall KrauseGlobal Development Division, Bill & Melinda Gates Foundation, Seattle, WA, USA.
Emma L B RogowskiInstitute of Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Allison PortnoyCenter for Health Decision Science, Harvard T H Chan School of Public Health, Boston, MA, USA.
Institute for Health Metrics and Evaluation · USBill & Melinda Gates Foundation · USLondon School of Hygiene & Tropical Medicine · GBPennsylvania State University · USWorld Health Organization · CH

Funding

Development and application of subnational measles incidence and mortality estimates in high burden and incidence settingsF31AI167535 · NIAID · LONDON SCH/HYGIENE & TROPICAL MEDICINE · PI SBARRA, ALYSSA NICOLE · 2022 to 2023
$72k
NIAID NIH HHS F31 AI167535World Health Organization 001
6 · The paper itself

Abstract

backgroundTo understand the current measles mortality burden, and to mitigate the future burden, it is crucial to have robust estimates of measles case fatalities. Estimates of measles case-fatality ratios (CFRs) that are specific to age, location, and time are essential to capture variations in underlying population-level factors, such as vaccination coverage and measles incidence, which contribute to increases or decreases in CFRs. In this study, we updated estimates of measles CFRs by expanding upon previous systematic reviews and implementing a meta-regression model. Our objective was to use all information available to estimate measles CFRs in low-income and middle-income countries (LMICs) by country, age, and year.

methodsFor this systematic review and meta-regression modelling study, we searched PubMed on Dec 31, 2020 for all available primary data published from Jan 1, 1980 to Dec 31, 2020, on measles cases and fatalities occurring up to Dec 31, 2019 in LMICs. We included studies that previous systematic reviews had included or which contained primary data on measles cases and deaths from hospital-based, community-based, or surveillance-based reports, including outbreak investigations. We excluded studies that were not in humans, or reported only data that were only non-primary, or on restricted populations (eg, people living with HIV), or on long-term measles mortality (eg, death from subacute sclerosing panencephalitis), and studies that did not include country-level data or relevant information on measles cases and deaths, or were for a high-income country. We extracted summary data on measles cases and measles deaths from studies that fitted our inclusion and exclusion criteria. Using these data and a suite of covariates related to measles CFRs, we implemented a Bayesian meta-regression model to produce estimates of measles CFRs from 1990 to 2019 by location and age group. This study was not registered with PROSPERO or otherwise.

findingsWe identified 2705 records, of which 208 sources contained information on both measles cases and measles deaths in LMICS and were included in the review. Between 1990 and 2019, CFRs substantially decreased in both community-based and hospital-based settings, with consistent patterns across age groups. For people aged 0-34 years, we estimated a mean CFR for 2019 of 1·32% (95% uncertainty interval [UI] 1·28-1·36) among community-based settings and 5·35% (5·08-5·64) among hospital-based settings. We estimated the 2019 CFR in community-based settings to be 3·03% (UI 2·89-3·16) for those younger than 1 year, 1·63% (1·58-1·68) for age 1-4 years, 0·84% (0·80-0·87) for age 5-9 years, and 0·67% (0·64-0·70) for age 10-14 years.

interpretationAlthough CFRs have declined between 1990 and 2019, there are still large heterogeneities across locations and ages. One limitation of this systematic review is that we were unable to assess measles CFR among particular populations, such as refugees and internally displaced people. Our updated methodological framework and estimates could be used to evaluate the effect of measles control and vaccination programmes on reducing the preventable measles mortality burden.

fundingBill & Melinda Gates Foundation; Gavi, the Vaccine Alliance; and the US National Institutes of Health.

Indexed as

Developing CountriesMeaslesBayes TheoremGlobal HealthHumansIncomeVaccination

Identifiers

PMID36925172
PMCPMC10030458
OpenAlexW4324131075

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read158
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.