Evidence map›Paper›PMID 35413894›Full record

ArticleBMC public health2022

Prioritizing COVID-19 vaccination efforts and dose allocation within Madagascar.

Fidisoa Rasambainarivo, Tanjona Ramiadantsoa, Antso Raherinandrasana, Santatra Randrianarisoa, Benjamin L Rice, Michelle V Evans, Benjamin Roche, Fidiniaina Mamy Randriatsarafara, Amy Wesolowski, Jessica C Metcalf

Abstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  5. Inferring COVID-19 testing and vaccination behavior from New Jersey testing data.Proceedings of the National Academy of Sciences of the United States of America · 2024
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  14. Full GenomeFrontiers in public health · 2022
    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

10 authors.

Fidisoa RasambainarivoDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA. fidisoar@princeton.edu.
Tanjona RamiadantsoaDepartment of Life Science, University of Fianarantsoa, Antananarivo, Madagascar.
Antso RaherinandrasanaSurveillance Unit, Ministry of Health of Madagascar, Antananarivo, Madagascar.
Santatra RandrianarisoaMahaliana Labs SARL, Antananarivo, Madagascar.
Benjamin L RiceDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA.
Michelle V EvansMIVEGEC, Université de Montpellier, CNRS, Montpellier, IRD, France.
Benjamin RocheMIVEGEC, Université de Montpellier, CNRS, Montpellier, IRD, France.
Fidiniaina Mamy RandriatsarafaraFaculty of Medicine, University of Antananarivo, Antananarivo, Madagascar.
Amy WesolowskiDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Jessica C MetcalfDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA.

Funding

Human mobility models to forecast disease dynamics and the effectiveness of public health interventionsR01AI160780 · NIAID · JOHNS HOPKINS UNIVERSITY · PI CUMMINGS, DEREK A, WESOLOWSKI, AMY · 2021 to 2025
$3.3M
Disease Emergence and Elimination: Using Mobility Data to Inform Spatial Disease DynamicsDP2LM013102 · NLM · JOHNS HOPKINS UNIVERSITY · PI WESOLOWSKI, AMY · 2018 to 2018
$2.5M
6 · The paper itself

Abstract

backgroundWhile mass COVID-19 vaccination programs are underway in high-income countries, limited availability of doses has resulted in few vaccines administered in low and middle income countries (LMICs). The COVID-19 Vaccines Global Access (COVAX) is a WHO-led initiative to promote vaccine access equity to LMICs and is providing many of the doses available in these settings. However, initial doses are limited and countries, such as Madagascar, need to develop prioritization schemes to maximize the benefits of vaccination with very limited supplies. There is some consensus that dose deployment should initially target health care workers, and those who are more vulnerable including older individuals. However, questions of geographic deployment remain, in particular associated with limits around vaccine access and delivery capacity in underserved communities, for example in rural areas that may also include substantial proportions of the population.

methodsTo address these questions, we developed a mathematical model of SARS-CoV-2 transmission dynamics and simulated various vaccination allocation strategies for Madagascar. Simulated strategies were based on a number of possible geographical prioritization schemes, testing sensitivity to initial susceptibility in the population, and evaluating the potential of tests for previous infection.

resultsUsing cumulative deaths due to COVID-19 as the main outcome of interest, our results indicate that distributing the number of vaccine doses according to the number of elderly living in the region or according to the population size results in a greater reduction of mortality compared to distributing doses based on the reported number of cases and deaths. The benefits of vaccination strategies are diminished if the burden (and thus accumulated immunity) has been greatest in the most populous regions, but the overall strategy ranking remains comparable. If rapid tests for prior immunity may be swiftly and effectively delivered, there is potential for considerable gain in mortality averted, but considering delivery limitations modulates this.

conclusionAt a subnational scale, our results support the strategy adopted by the COVAX initiative at a global scale.

Indexed as

COVID-19COVID-19 VaccinesAgedHumansMadagascarSARS-CoV-2VaccinationCOVID-19 Vaccines

Identifiers

PMID35413894
PMCPMC9002044

What OpenQuestion holds

Textmetadata
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.