Evidence map›Paper›PMID 33303181›Full record

ArticleVaccine2021

The data used to build the models: Pertussis morbidity and mortality burden considering various Brazilian data sources.

Angela M Bagattini, Gabriela Policena, Ruth Minamisava, Ana Lucia S Andrade, Sérgio de A Nishioka, Anushua Sinha, Louise B Russell, Cristiana M Toscano

Open access · hybridAbstract read
In one paragraph

Article in Vaccine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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 at 4 institutions in 2 countries.

Angela M BagattiniInstitute of Tropical Pathology and Public Health, Federal University of Goiás, Goiânia, Goiás, Brazil. Electronic address: abagattini@discente.ufg.br.
Gabriela PolicenaInstitute of Tropical Pathology and Public Health, Federal University of Goiás, Goiânia, Goiás, Brazil.
Ruth MinamisavaSchool of Nursing, Federal University of Goiás, Goiânia, Goiás, Brazil(1).
Ana Lucia S AndradeInstitute of Tropical Pathology and Public Health, Federal University of Goiás, Goiânia, Goiás, Brazil(2).
Sérgio de A NishiokaNational Coordination of Transmittable Diseases Surveillance, Secretary of Health Surveillance (SVS), Brazilian Ministry of Health, Brazil(3).
Anushua SinhaDepartment of Medicine, Division of Infectious Diseases, Rutgers New Jersey Medical School, Newark, NJ, USA.
Louise B RussellUniversity of Pennsylvania, Department of Medical Ethics and Health Policy, 423 Guardian Drive, Philadelphia, PA 19104, USA(4).
Cristiana M ToscanoInstitute of Tropical Pathology and Public Health, Federal University of Goiás, Goiânia, Goiás, Brazil(2). Electronic address: ctoscano@terra.com.br.
Universidade Federal de Goiás · BRMinistério da Saúde · BRRutgers, The State University of New Jersey · USUniversity of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPertussis is associated with significant disease burden in children worldwide. In addition to its cyclical nature, resurgences of pertussis cases, hospitalizations and deaths have been reported by many countries. We describe the dynamics of pertussis in Brazil, a middle-income country that has experienced a resurgence and that provides good quality data to allow building a dynamic transmission disease model.

methodsWe conducted a descriptive analysis of pertussis burden considering data from the national disease surveillance system, national hospitalization information system and national mortality registry. Study period was 2000-2016. Absolute numbers and rates per 100,000 inhabitants over time, by age sub-groups and geographical regions are presented.

resultsFrom 2000 to 2016, a total of 37,299 reported pertussis cases, 25,240 hospitalizations, and 601 deaths due to pertussis were reported. Although the outcomes - pertussis cases, hospitalizations, and deaths - come from independent information systems, our results document low disease burden with periodic increases every 3-4 years during the years 2000-2010, followed by a sharp increase which peaked in 2014. In both periods, disease burden is concentrated in young children, while its more serious outcomes - hospitalizations and deaths, are concentrated in infants. Pre-outbreak and outbreak disease burden as well as timing of peak during the outbreak period vary by states and within geographical regions, representing valuable resources of data for modelling purposes.

conclusionConsistent disease burden patterns were observed over time in Brazil using a variety of data sources. Given the scarcity of good epidemiological data on pertussis available from low- and middle-income countries, our reported data provide valuable information for the assessment of the public health impact and cost-effectiveness modelling studies of newer strategies to prevent and control pertussis. These data were used to build and calibrate a national dynamic transmission model, which was used to evaluate the cost-effectiveness of maternal immunization. Clinical Trial registry name and registration number: Not applicable.

Indexed as

Whooping CoughBrazilChildChild, PreschoolHumansInfantInformation Storage and RetrievalMorbidityPertussis VaccineVaccinationPertussis VaccineDisease disease burdenEpidemiologyModellingMortalityPertussisSurveillanceWhooping cough

Identifiers

PMID33303181
PMCPMC7738753
OpenAlexW3112888516

What OpenQuestion holds

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LicenceCC BY
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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.