Evidence map›Paper›PMID 37594920›Full record

ArticlePLOS global public health2023

An assessment of the public health surveillance strategy based on molecular testing during three major pandemic waves of COVID-19 in Brazil.

Lorena G Barberia, Alexandra Boing, João Gusmão, Fabio Miyajima, Adriano Abud, Brigina Kemp, Marcela Zamudio, Tatiane C Moraes de Sousa

Abstract read
In one paragraph

Article in PLOS global public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Observational
  5. Burden of respiratory syncytial virus in older adults in Brazil: insights from national surveillance data for the 2022-2023 period.Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia · 2025
    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

8 authors.

Lorena G BarberiaDepartment of Political Science, University of Sao Paulo, Avenida Professor Luciano Gualberto, Cidade Universitária, Sao Paulo, SP, Brazil.ORCID https://orcid.org/0000-0001-6319-543X
Alexandra BoingDepartamento de Saúde Pública, Programa de Pós-graduação em Saúde Coletiva, Universidade Federal de Santa Catarina, Campus Universitário Reitor João David Ferreira Lima, Centro de Ciências da Saúde, Trindade, Florianópolis, Santa Catarina, Brazil.
João GusmãoMultiprofessional Residency Program in Public Health Policy Management, School of Government, Fiocruz, Gleba A, Brasília, DF, Brazil.ORCID https://orcid.org/0000-0003-0845-3621
Fabio MiyajimaAnalytical Competence Molecular Epidemiology Laboratories, Genomic Surveillance Network, Oswaldo Cruz Foundation (FIOCRUZ), Ceara Branch-Eusebio, Rio de Janeiro, Brazil.
Adriano AbudInstituto Adolfo Lutz, Prédio Central, Centro de Respostas Rápidas, Cerqueira Cesar, Sao Paulo, SP, Brazil.ORCID https://orcid.org/0000-0003-1685-0619
Brigina KempConselho de Secretários Municipais de Saúde-SP, Sao Paulo, SP, Brazil.
Marcela ZamudioDepartment of Political Science, University of Sao Paulo, Cidade Universitária, Sao Paulo, SP, Brazil.
Tatiane C Moraes de SousaDepartment of Political Science, University of Sao Paulo, Avenida Professor Luciano Gualberto, Cidade Universitária, Sao Paulo, SP, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A national laboratory-based surveillance system was adapted to monitor the situation of SARS-CoV-2 in Brazil. The objective of the study was to compare the challenges in implementing COVID-19 surveillance strategies based on the Ministry of Health's (MoH) distribution of RT-PCR tests to different types of laboratories. This retrospective study analyzed the MoH's testing policies and distribution of RT-PCR tests to laboratories during the first, second, and third waves. Recipient laboratories were divided into groups: public health laboratories that belonged to the national network of public health laboratories (Group 1); public laboratories granted authorization during the pandemic (Group 2); and High-Capacity Testing Centers (Group 3). We analyzed the timing and duration of COVID-19 testing policies and the allocation of tests to laboratories by group and wave. Using t-tests, we analyzed the difference in the weekly average of tests distributed to labs by group and using Pearson's correlation coefficient, analyzed the test distribution according to infection and death rates. Between epiweek 9, 2020, and epiweek 22, 2022, the MoH distributed an average of 263,004 RT-PCR tests per week. The weekly average of tests distributed was highest in the second wave (310,327 tests), followed by the first (218,005 tests) and third waves (201,226 tests). There was a significant increase in the mean weekly tests distributed in the second wave compared to the first and third waves (p = 0.047; IC 8.29-1110.71). We found a significant difference between the weekly average of tests distributed in the first and second wave (p < 0.001; IC -209.83-76.20) to Group 2. Group 3 received the second-highest number of tests from the MoH overall, with a reduction during the third wave to first-wave levels. The distribution of RT-PCR tests was not correlated with the case and death incidence.

Identifiers

PMID37594920
PMCPMC10437824

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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.