Evidence map›Paper›PMID 35432632›Full record

ArticleJournal of computational science2022

Timing the race of vaccination, new variants, and relaxing restrictions during COVID-19 pandemic.

Carolina Ribeiro Xavier, Rafael Sachetto Oliveira, Vinícius da Fonseca Vieira, Bernardo Martins Rocha, Ruy Freitas Reis, Bárbara de Melo Quintela, Marcelo Lobosco, Rodrigo Weber Dos Santos

Open access · greenAbstract read
In one paragraph

Article in Journal of computational science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
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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 2 institutions in 1 country.

Carolina Ribeiro XavierUniversidade Federal de São João del-Rei, São João del-Rei, MG, Brazil.
Rafael Sachetto OliveiraUniversidade Federal de São João del-Rei, São João del-Rei, MG, Brazil.
Vinícius da Fonseca VieiraUniversidade Federal de São João del-Rei, São João del-Rei, MG, Brazil.
Bernardo Martins RochaUniversidade Federal de Juiz de Fora, Juiz de Fora, MG, Brazil.
Ruy Freitas ReisUniversidade Federal de Juiz de Fora, Juiz de Fora, MG, Brazil.
Bárbara de Melo QuintelaUniversidade Federal de Juiz de Fora, Juiz de Fora, MG, Brazil.
Marcelo LoboscoUniversidade Federal de Juiz de Fora, Juiz de Fora, MG, Brazil.
Rodrigo Weber Dos SantosUniversidade Federal de Juiz de Fora, Juiz de Fora, MG, Brazil.
Universidade Federal de Juiz de Fora · BRFederal University of São João del-Rei · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Late in 2019, China identified a new type of coronavirus, SARS-CoV-2, and due to its fast spread, the World Health Organisation (WHO) declared a pandemic named COVID-19. Some variants of this virus were detected, including the Delta, which caused new waves of infections. This work uses an extended version of a SIRD model that includes vaccination effects to measure the impact of the Delta variant in three countries: Germany, Israel and Brazil. The calibrated models were able to reproduce the dynamics of the above countries. In addition, hypothetical scenarios were simulated to quantify the impact of vaccination and mitigation policies during the Delta wave. The results showed that the model could reproduce the complex dynamics observed in the different countries. The estimated increase of transmission rate due to the Delta variant was highest in Israel (7.9), followed by Germany (2.7) and Brazil (1.5). These values may support the hypothesis that people immunised against COVID-19 may lose their defensive antibodies with time since Israel, Germany, and Brazil fully vaccinated half of the population in March, July, and October. The scenario to study the impact of vaccination revealed relative reductions in the total number of deaths between 30% and 250%; an absolute reduction of 300 thousand deaths in Brazil due to vaccination during the Delta wave. The second hypothetical scenario revealed that mitigation policies saved up to 300 thousand Brazilians; relative reductions in the total number of deaths between 24% and 120% in the three analysed countries. Therefore, the results suggest that both vaccination and mitigation policies were crucial in decreasing the spread and the number of deaths during the Delta wave.

Indexed as

Computational epidemiologyCOVID-19Delta variantSIRVaccination

Identifiers

PMID35432632
PMCPMC8990534
OpenAlexW4224222805

What OpenQuestion holds

Textmetadata
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.