Evidence map›Paper›PMID 39082558›Full record

ArticleCadernos de saude publica2024

Evaluation of the design of the influenza-like illness sentinel surveillance system in Brazil.

Laís Picinini Freitas, Cláudia Torres Codeço, Leonardo Soares Bastos, Daniel Antunes Maciel Villela, Oswaldo Gonçalves Cruz, Antonio Guilherme Pacheco, Flavio Codeço Coelho, Raquel Martins Lana, Luiz Max Fagundes de Carvalho, Roberta Pereira Niquini and 4 more

Abstract read
In one paragraph

Article in Cadernos de saude publica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. 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

14 authors.

Laís Picinini FreitasPrograma de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, Brasil.ORCID 0000-0001-9012-9382
Cláudia Torres CodeçoPrograma de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, Brasil.ORCID 0000-0003-1174-178X
Leonardo Soares BastosPrograma de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, Brasil.ORCID 0000-0002-1406-0122
Daniel Antunes Maciel VillelaPrograma de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, Brasil.ORCID 0000-0001-8371-2959
Oswaldo Gonçalves CruzPrograma de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, Brasil.ORCID 0000-0002-3289-3195
Antonio Guilherme PachecoPrograma de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, Brasil.ORCID 0000-0003-3095-1774
Flavio Codeço CoelhoEscola de Matemática Aplicada, Fundação Getulio Vargas, Rio de Janeiro, Brasil.ORCID 0000-0003-3868-4391
Raquel Martins LanaPrograma de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, Brasil.ORCID 0000-0002-7573-1364
Luiz Max Fagundes de CarvalhoEscola de Matemática Aplicada, Fundação Getulio Vargas, Rio de Janeiro, Brasil.ORCID 0000-0001-5736-5578
Roberta Pereira NiquiniInstituto Federal de Educação, Ciência e Tecnologia do Rio de Janeiro, Rio de Janeiro, Brasil.ORCID 0000-0003-1075-3113
Walquiria Aparecida Ferreira de AlmeidaSecretaria de Vigilância em Saúde, Ministério da Saúde, Brasília, Brasil.ORCID 0000-0003-2082-6283
Daiana Araújo da SilvaSecretaria de Vigilância em Saúde, Ministério da Saúde, Brasília, Brasil.ORCID 0000-0002-1638-434X
Felipe Cotrim de CarvalhoSecretaria de Vigilância em Saúde, Ministério da Saúde, Brasília, Brasil.ORCID 0000-0001-5298-3166
Marcelo Ferreira da Costa GomesPrograma de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, Brasil.ORCID 0000-0003-4693-5402

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The influenza-like illness (ILI) sentinel surveillance operates in Brazil to identify respiratory viruses of public health relevance circulating in the country and was first implemented in 2000. Recently, the COVID-19 pandemic reinforced the importance of early detection of the circulation of new viruses in Brazil. Therefore, an analysis of the design of the ILI sentinel surveillance is timely. To this end, we simulated a sentinel surveillance network, identifying the municipalities that would be part of the network according to the criteria defined in the design of the ILI sentinel surveillance and, based on data from tested cases of severe acute respiratory illness (SARI) from 2014 to 2019, we drew samples for each sentinel municipality per epidemiological week. The draw was performed 1,000 times, obtaining the median and 95% quantile interval (95%QI) of virus positivity by Federative Unit and epidemiological week. According to the ILI sentinel surveillance design criteria, sentinel units would be in 64 municipalities, distributed mainly in capitals and their metropolitan areas, recommending 690 weekly samples. The design showed good sensitivity (91.65% considering the 95%QI) for qualitatively detecting respiratory viruses, even those with low circulation. However, there was important uncertainty in the quantitative estimate of positivity, reaching at least 20% in 11.34% of estimates. The results presented here aim to assist in evaluating and updating the ILI sentinel surveillance design. Strategies to reduce uncertainty in positivity estimates need to be evaluated, as does the need for greater spatial coverage.

Indexed as

COVID-19Influenza, HumanSentinel SurveillanceBrazilHumansPandemicsSARS-CoV-2

Identifiers

PMID39082558
PMCPMC11321611

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.