Evidence map›Paper›PMID 31340351›Full record

ArticleRevista de saude publica2019

Spatial analysis of pneumococcal meningitis in São Paulo in the pre- and post-immunization era.

Danise Senna Oliveira, Francisco Chiaravalloti Neto, Thiago Santos Mota, Daniel Brito de Araujo, Ana Marli Christovam Sartori

Open access · goldAbstract read
In one paragraph

Article in Revista de saude publica, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 38% 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

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

  1. Pooled it
  2. Geography and public health: analysis of the epidemiological dynamics of meningitis in Brazil, between 2010 and 2019.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2024
    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

5 authors at 3 institutions in 2 countries.

Danise Senna OliveiraUniversidade Federal de Pelotas. Faculdade de Medicina. Departamento de Clínica Médica. Pelotas, RS, Brasil.ORCID http://orcid.org/0000-0002-1795-9299
Francisco Chiaravalloti NetoUniversidade de São Paulo. Faculdade de Saúde Pública. Departamento de Epidemiologia. São Paulo, SP, Brasil.ORCID http://orcid.org/0000-0003-2686-8740
Thiago Santos MotaFaculdade de Tecnologia de Botucatu. Departamento de Estatística. Botucatu, SP, Brasil.ORCID http://orcid.org/0000-0001-6122-556X
Daniel Brito de AraujoUniversidade Federal de Pelotas. Faculdade de Medicina. Departamento de Clínica Médica. Pelotas, RS, Brasil.ORCID http://orcid.org/0000-0002-4840-945X
Ana Marli Christovam SartoriUniversidade de São Paulo. Faculdade de Medicina. Departamento de Moléstias Infecciosas e Parasitárias. São Paulo, SP, Brasil.ORCID http://orcid.org/0000-0003-3777-0757
Universidade de São Paulo · BRUniversidade Federal de Pelotas · BRSão Paulo State Technological College · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyze the pneumococcal meningitis incidence rates in the State of São Paulo, Brazil, by age group, municipalities and micro-regions, as well as the spatial distribution of pneumococcal meningitis incidence rates among children under 5 years old in the pre- (2005-2009) and post-vaccination (2011-2013) periods and its associations with socioeconomic variables and vaccination coverage.

methodsThe data source was the Brazilian Notifiable Diseases Information System. For the pre- and post-vaccination periods, thematic maps were built for pneumococcal meningitis incidence in under-5 children, by São Paulo state micro-regions, vaccination coverage and socioeconomic variables, using QGIS 2.6.1 software. Scan statistics performed by the SatScan 9.2 software were used to analyze spatial and spatiotemporal clusters in São Paulo municipalities and micro-regions. A Bayesian inference for latent Gaussian model with zero-inflated Poisson model through the integrated nested Laplace approximation was used in the spatial analysis to evaluate associations between pneumococcal meningitis incidence rates and socioeconomic variables of interest in São Paulo micro-regions.

resultsFrom 2005 to 2013, 3,963 pneumococcal meningitis cases were reported in São Paulo. Under-5 children were the most affected in the whole period. In the post-vaccination period, pneumococcal meningitis incidence rates decreased among this population, particularly among infants (from 4.17/100,000 in 2005 to 2.54/100,000 in 2013). Two clusters were found in pre-vaccination - one of low risk for pneumococcal meningitis, in the northwest of the state (OR = 0.45, p = 0.0003); and another of high risk in the southeast (OR = 1.62, p = 0.0000). In the post-vaccination period, only a high-risk cluster remained, in the southeast (RR = 1.97, p = 0.0570). In Bayesian analysis, wealth was the only variable positively associated to pneumococcal meningitis (RR = 1.026, 95%CI 1.002-1.052).

conclusionsPneumococcal meningitis is probably underdiagnosed and underreported in São Paulo. Differentiated rates of pneumococcal meningitis diagnosis and reporting in each microregion, according to the São Paulo Index of Social Responsibility, might explain our results.

Indexed as

AdolescentAdultAgedAged, 80 and overBayes TheoremBrazilChildChild, PreschoolGeographic MappingHumansImmunizationIncidenceInfantMeningitis, PneumococcalMiddle AgedResidence Characteristics

Identifiers

PMID31340351
PMCPMC6629289
OpenAlexW2961262882

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.