Evidence map›Paper›PMID 32244954›Full record

ArticleInternational journal of environmental research and public health2020

Dengue Surveillance System in Brazil: A Qualitative Study in the Federal District.

Marco Angelo, Walter Massa Ramalho, Helen Gurgel, Nayara Belle, Eva Pilot

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

5 authors.

Marco AngeloDepartment of Health, Ethics & Society, Maastricht University, 6200 MD Maastricht, The Netherlands.
Walter Massa RamalhoNucleo de Medicina Tropical, Universidade de Brasilia, 70297-400 Brasilia, Brazil.
Helen GurgelLaboratorio de Geografia, Ambiente e Saúde da Universidade de Brasilia, 70904-970 Brasilia, Brazil.ORCID 0000-0002-4250-6742
Nayara BelleDepartment of Health, Ethics & Society, Maastricht University, 6200 MD Maastricht, The Netherlands.ORCID 0000-0003-4207-9055
Eva PilotDepartment of Health, Ethics & Society, Maastricht University, 6200 MD Maastricht, The Netherlands.ORCID 0000-0003-3112-4447

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue's increasing trends raise concerns over global health and pose a challenge to the Brazilian health system, highlighting the necessity of a strong surveillance system to reduce morbidity, mortality, and the economic burden of this disease. Although the Brazilian surveillance system reports more dengue cases than any other country, recent studies suggest that non-reported cases are the majority. The aim of the study is to explore the strengths and weaknesses of the Brazilian surveillance system, particularly looking at the functioning of data collection and reporting. This was done through qualitative semi-structured interviews with 17 experts in dengue surveillance, supported by quantitative data from the official notification system. To select the interviewees, purposive and theoretical sampling were used. Data were analyzed through thematic analysis. The research highlighted that a lack of human and technological resources in healthcare units and surveillance departments slows down the notification process and data analysis. Due to a lack of integration in the private sector, the surveillance system fails to detect the socioeconomic profile of the patients. Investments in public healthcare, human and technological resources for surveillance and better integration in the private healthcare system, and vector surveillance may improve dengue surveillance.

Indexed as

DenguePopulation SurveillanceAnimalsBrazilDisease VectorsHumansQualitative Researchdenguehealth geographyhealth informationinfectious diseasespublic healthqualitative researchsurveillancetropical diseasesunderreportingurban health

Identifiers

PMID32244954
PMCPMC7142734

What OpenQuestion holds

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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.