Evidence map›Paper›PMID 36210250›Full record

ArticleVaccine2022

Modelling optimal vaccination strategies against COVID-19 in a context of Gamma variant predominance in Brazil.

Leonardo Souto Ferreira, Gabriel Berg de Almeida, Marcelo Eduardo Borges, Lorena Mendes Simon, Silas Poloni, Ângela Maria Bagattini, Michelle Quarti Machado da Rosa, José Alexandre Felizola Diniz Filho, Ricardo de Souza Kuchenbecker, Suzi Alves Camey and 3 more

Open access · greenAbstract read
In one paragraph

Article in Vaccine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 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

13 authors at 5 institutions in 1 country.

Leonardo Souto FerreiraSão Paulo State University (UNESP), Institute for Theoretical Physics (IFT) - R. Dr. Bento Teobaldo Ferraz, 271 - Bloco II - Barra-Funda - São Paulo/SP - CEP 01140-070, Brazil; Observatório COVID-19 BR - São Paulo/SP, Brazil. Electronic address: leonardo.souto@unesp.br.
Gabriel Berg de AlmeidaSão Paulo State University (UNESP), Infectious Diseases Department, Botucatu Medical School (FMB) - Av. Prof. Mário Rubens Guimarães Montenegro, s/n - Botucatu/SP - CEP 18618-687, Brazil.
Marcelo Eduardo BorgesObservatório COVID-19 BR - São Paulo/SP, Brazil; Federal University of ABC (UFABC), Center for Mathematics, Computation and Cognition - Avenida dos Estados, 5001 - Bairro Bangu - Santo André/SP - CEP 09210-580, Brazil.
Lorena Mendes SimonFederal University of Goiás (UFG), Department of Ecology, Postgraduate Programme in Ecology and Evolution - Av. Esperança, s/n - Chácaras de Recreio Samambaia - Goiânia/GO - CEP 74690-900, Brazil.
Silas PoloniSão Paulo State University (UNESP), Institute for Theoretical Physics (IFT) - R. Dr. Bento Teobaldo Ferraz, 271 - Bloco II - Barra-Funda - São Paulo/SP - CEP 01140-070, Brazil; Observatório COVID-19 BR - São Paulo/SP, Brazil.
Ângela Maria BagattiniFederal University of Goiás (UFG), Institute of Tropical Pathology and Public Health (IPTSP) - R. 235, s/n - Setor Leste Universitário - Goiânia/GO - CEP 74605-050, Brazil.
Michelle Quarti Machado da RosaFederal University of Goiás (UFG), Institute of Tropical Pathology and Public Health (IPTSP) - R. 235, s/n - Setor Leste Universitário - Goiânia/GO - CEP 74605-050, Brazil.
José Alexandre Felizola Diniz FilhoObservatório COVID-19 BR - São Paulo/SP, Brazil; Federal University of Goiás (UFG), Department of Ecology, Postgraduate Programme in Ecology and Evolution - Av. Esperança, s/n - Chácaras de Recreio Samambaia - Goiânia/GO - CEP 74690-900, Brazil.
Ricardo de Souza KuchenbeckerFederal University of Rio Grande do Sul (UFRGS), Postgraduate Programme of Epidemiology, Medical School - Campus Saúde - R. Ramiro Barcelos, 2400 - Porto Alegre/RS - CEP 90035-003, Brazil.
Suzi Alves CameyFederal University of Rio Grande do Sul (UFRGS), Institute of Mathematics and Statistics, Department of Statistics - Av. Bento Gonçalves, 9500 - Agronomia - Porto Alegre/RS - CEP 91509-900, Brazil.
Roberto André KraenkelSão Paulo State University (UNESP), Institute for Theoretical Physics (IFT) - R. Dr. Bento Teobaldo Ferraz, 271 - Bloco II - Barra-Funda - São Paulo/SP - CEP 01140-070, Brazil; Observatório COVID-19 BR - São Paulo/SP, Brazil.
Renato Mendes CoutinhoObservatório COVID-19 BR - São Paulo/SP, Brazil; Federal University of ABC (UFABC), Center for Mathematics, Computation and Cognition - Avenida dos Estados, 5001 - Bairro Bangu - Santo André/SP - CEP 09210-580, Brazil.
Cristiana Maria ToscanoFederal University of Goiás (UFG), Institute of Tropical Pathology and Public Health (IPTSP) - R. 235, s/n - Setor Leste Universitário - Goiânia/GO - CEP 74605-050, Brazil.
Universidade Federal de Goiás · BRUniversidade de São Paulo · BRUniversidade Federal do ABC · BRUniversidade Federal do Rio Grande do Sul · BRUniversidade Estadual Paulista (Unesp) · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBrazil experienced moments of collapse in its health system throughout 2021, driven by the emergence of variants of concern (VOC) combined with an inefficient initial vaccination strategy against Covid-19.

objectivesTo support decision-makers in formulating COVID-19 immunization policy in the context of limited vaccine availability and evolving variants over time, we evaluate optimal strategies for Covid-19 vaccination in Brazil in 2021, when vaccination was rolled out during Gamma variant predominance.

methodsUsing a discrete-time epidemic model we estimate Covid-19 deaths averted, considering the currently Covid-19 vaccine products and doses available in Brazil; vaccine coverage by target population; and vaccine effectiveness estimates. We evaluated a 5-month time horizon, from early August to the end of December 2021. Optimal vaccination strategies compared the outcomes in terms of averted deaths when varying dose intervals from 8 to 12 weeks, and choosing the minimum coverage levels per age group required prior to expanding vaccination to younger target populations. We also estimated dose availability required over time to allow the implementation of optimal strategies.

resultsTo maximize the number of averted deaths, vaccine coverage of at least 80 % should be reached in older age groups before starting vaccination into subsequent younger age groups. When evaluating varying dose intervals for AZD1222, reducing the dose interval from 12 to 8 weeks for the primary schedule would result in fewer COVID-19 deaths, but this can only be implemented if accompanied by an increase in vaccine supply of at least 50 % over the coming six-months in Brazil.

conclusionCovid-19 immunization strategies should be tailored to local vaccine product availability and supply over time, circulating variants of concern, and vaccine coverage in target population groups. Modelling can provide valuable and timely evidence to support the implementation of vaccination strategies considering the local context, yet following international and regional technical evidence-based guidance.

Indexed as

COVID-19VaccinesAgedBrazilChAdOx1 nCoV-19COVID-19 VaccinesHumansSARS-CoV-2VaccinationChAdOx1 nCoV-19COVID-19 VaccinesVaccinesCOVID-19ImmunizationModellingVaccines

Identifiers

PMID36210250
PMCPMC9527216
OpenAlexW4300963019

What OpenQuestion holds

Textmetadata
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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.