Evidence map›Paper›PMID 28793891›Full record

ArticleBMC medicine2017

Characterizing measles transmission in India: a dynamic modeling study using verbal autopsy data.

Stéphane Verguet, Edward O Jones, Mira Johri, Shaun K Morris, Wilson Suraweera, Cindy L Gauvreau, Prabhat Jha, Mark Jit

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

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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 at 8 institutions in 3 countries.

Stéphane VerguetDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA, USA. verguet@hsph.harvard.edu.
Edward O JonesDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
Mira JohriUniversity of Montreal Hospital Research Centre (CRCHUM), Montréal, Québec, Canada.
Shaun K MorrisDivision of Infectious Diseases, Hospital for Sick Children, Department of Pediatrics, University of Toronto, Toronto, Ontario, Canada.
Wilson SuraweeraCenter for Global Health Research, Saint Michael's Hospital and University of Toronto, Toronto, Ontario, Canada.
Cindy L GauvreauCanadian Partnership Against Cancer, Toronto, Ontario, Canada.
Prabhat JhaCenter for Global Health Research, Saint Michael's Hospital and University of Toronto, Toronto, Ontario, Canada.
Mark JitDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
Canadian Partnership Against Cancer · CAHarvard Global Health Institute · USLondon School of Hygiene & Tropical Medicine · GBPublic Health England · GBSickKids Foundation · CASt. Michael's Hospital · CAUniversité de Montréal · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDecreasing trends in measles mortality have been reported in recent years. However, such estimates of measles mortality have depended heavily on assumed regional measles case fatality risks (CFRs) and made little use of mortality data from low- and middle-income countries in general and India, the country with the highest measles burden globally, in particular.

methodsWe constructed a dynamic model of measles transmission in India with parameters that were empirically inferred using spectral analysis from a time series of measles mortality extracted from the Million Death Study, an ongoing longitudinal study recording deaths across 2.4 million Indian households and attributing causes of death using verbal autopsy. The model was then used to estimate the measles CFR, the number of measles deaths, and the impact of vaccination in 2000-2015 among under-five children in India and in the states of Bihar and Uttar Pradesh (UP), two states with large populations and the highest numbers of measles deaths in India.

resultsWe obtained the following estimated CFRs among under-five children for the year 2005: 0.63% (95% confidence interval (CI): 0.40-1.00%) for India as a whole, 0.62% (0.38-1.00%) for Bihar, and 1.19% (0.80-1.75%) for UP. During 2000-2015, we estimated that 607,000 (95% CI: 383,000-958,000) under-five deaths attributed to measles occurred in India as a whole. If no routine vaccination or supplemental immunization activities had occurred from 2000 to 2015, an additional 1.6 (1.0-2.6) million deaths for under-five children would have occurred across India.

conclusionsWe developed a data- and model-driven estimation of the historical measles dynamics, CFR, and vaccination impact in India, extracting the periodicity of epidemics using spectral and coherence analysis, which allowed us to infer key parameters driving measles transmission dynamics and mortality.

Indexed as

Models, StatisticalAdolescentAdultAgedAged, 80 and overAutopsyCause of DeathChildChild, PreschoolFemaleHumansIndiaInfantInfant, NewbornLongitudinal StudiesMaleCase fatality riskChild healthImmunizationIndiaMathematical modelingMeaslesSupplementary immunization activitiesVaccine-preventable diseases

Identifiers

PMID28793891
PMCPMC5550950
OpenAlexW2744979135

What OpenQuestion holds

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LicenceCC BY
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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.