ArticleRevista panamericana de salud publica = Pan American journal of public health2020
[Infectious and parasitic diseases in Brazil, 2010 to 2017: considerations for surveillanceEnfermedades infecciosas y parasitarias en Brasil de 2010 a 2017: aspectos para la vigilancia sanitaria].
Article in Revista panamericana de salud publica = Pan American journal of public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The relationship between 896A/G (rs4986790) polymorphism ofFrontiers in genetics · 2022Pooled it
- High Seroprevalence Rates of Toxoplasma gondii and Neospora caninum in Dogs in the Pantanal Region of Mato Grosso, Brazil.Acta parasitologica · 2026Article
- Temporal and spatial trends in infectious disease mortality in Amazonas, Brazil, 2013-2024: implications for surveillance.Revista da Sociedade Brasileira de Medicina Tropical · 2026Article
- Web-Based Dashboard for Tracking Cryptococcosis-Related Deaths in Brazil (2000-2022).Tropical medicine and infectious disease · 2025Article
- Evaluation of disinfection methods for parasite eggs in fermented liquid bio-fertilizer.Scientific reports · 2025Article
- Trends in dengue incidence and lethality: interrupted time series analysis, Brazil, 2001-2022.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2025Article
- Spatiotemporal analysis of tuberculosis incidence on the border between Brazil and Argentina: a time series study, 2009-2021.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2025Article
- Characteristics of house calls in Brazil: analysis of PMAQ-AB external evaluation cycles.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2024Article
- Instruments for evaluating the quality of services in chronic diseases: scoping review.Revista latino-americana de enfermagem · 2024Article
- Socio-geographical factors and vulnerability to leptospirosis in South Brazil.BMC public health · 2023Article
- Spatial Distribution of Gestational Syphilis in Brazil: Socioeconomic and Health Services Inequalities.The American journal of tropical medicine and hygiene · 2023Article
- Identification of risk areas for arboviruses transmitted byOne health (Amsterdam, Netherlands) · 2023Article
- Distribution and spatial autocorrelation of viral hepatitis B and C in Paraná, Brazil: an ecological study, 2011-2019.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2023Article
- Kidney complications of parasitic diseases.Nature reviews. Nephrology · 2022Review
- Persistence of Schistosomiasis-Related Morbidity in Northeast Brazil: An Integrated Spatio-Temporal Analysis.Tropical medicine and infectious disease · 2021Article
- Spacetime modeling of mortality by infectious and parasitic diseases in Brazil: a 20-year ecological and population-based study.Therapeutic advances in infectious diseaseArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo present a method to identify critical areas for selected infectious and parasitic diseases for the purpose of health surveillance and to analyze the association between these critical areas and poverty indicators in Brazil.
methodThe following incidence rates were mapped: dengue, acute Chagas disease, schistosomiasis, Hansen's disease, hepatitis A, cutaneous leishmaniasis, visceral leishmaniasis, leptospirosis, malaria, and tuberculosis. The analyses were performed for the period from 2010 to 2017 based on a synthetic indicator calculated as the mean of mean incidence coefficients for each disorder, normalized by the mean and standard deviation during the period of analysis. A 2014 population estimate was used. The calculated coefficients were stratified for classification of municipalities into very high, high, medium, low, or very low criticality according to each disorder. Indicators expressing several socioeconomic dimensions and space segregation in Brazilian municipalities were also selected and tested regarding their association with the transmission of the diseases under study.
resultsThe indicator showed that 40.5% of Brazilian municipalities had high criticality for the diseases of interest, especially in the North, parts of the Northeast, and Midwest. Indicators "proportion of poverty," "garbage in surroundings," and "families headed by women" increased the chance of higher criticality for the diseases. The indicator "adequate sewer system" was a potential protection factor.
conclusionsThe technique used was adequate to guide surveillance actions in the country and allows articulation between local surveillance efforts and other sectors to resolve health problems caused by infectious and parasitic diseases and associated factors.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.