Evidence map›Paper›PMID 31464551›Full record

ArticleHuman vaccines & immunotherapeutics2020

Mobilize to vaccinate: lessons learned from social mobilization for immunization in low and middle-income countries.

Mohamed F Jalloh, Elisabeth Wilhelm, Neetu Abad, Dimitri Prybylski

Abstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–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

26 citing papers in PubMed.

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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

4 authors.

Mohamed F JallohGlobal Immunization Division, Centers for Disease Control and Prevention, Atlanta, USA.ORCID 0000-0002-7206-8042
Elisabeth WilhelmGlobal Immunization Division, Centers for Disease Control and Prevention, Atlanta, USA.
Neetu AbadGlobal Immunization Division, Centers for Disease Control and Prevention, Atlanta, USA.
Dimitri PrybylskiGlobal Immunization Division, Centers for Disease Control and Prevention, Atlanta, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Creating and sustaining demand for immunization services is a global priority to ensure that vaccine-eligible populations are fully protected from vaccine-preventable diseases. Social mobilization remains a key health promotion strategy used by low- and middle-income countries (LMICs) to promote vaccination demand. In this commentary, we synthesize illustrative evidence on successful social mobilization efforts promoting the uptake of immunization services in select LMICs. The first example focuses on Sierra Leone's routine immunization program during the Universal Child Immunization initiative in the late 1980s. We then give an example of India's establishment of a social mobilization network in the early- to mid-2000s to support polio elimination in high-risk communities. Thirdly, we highlight the complexities of social mobilization in a humanitarian emergency during the 2017-2018 diphtheria outbreak among displaced Rohingyas in camps and settlements in Bangladesh. Lastly, we draw upon examples from the introduction of the human papillomavirus vaccine in several countries. We then critically examine recurring challenges faced when implementing social mobilization for immunization in LMICs and offer practical recommendations for improvement.

Indexed as

Developing CountriesPoliomyelitisBangladeshChildHumansImmunizationImmunization ProgramsVaccinationbehavior changecommunicationcommunity engagementdemandhesitancyimmunizationlow- and middle-income countriesSocial mobilization

Identifiers

PMID31464551
PMCPMC7227704

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.