Estado nutricional de crianças de 5 a 9 anos por regional de saúde do estado de Goiás / Nutritional status of children aged 5 to 9 years by regional health of the state of Goiás

Nos últimos anos a população brasileira apresenta um aumento expressivo de indivíduos com excesso de peso e redução na prevalência de desnutrição. O Sistema de Vigilância Alimentar e Nutricional (SISVAN) permite o monitoramento de dados antropométricos e marcadores de consumo alimentar dos usuários da Atenção Primária do Sistema Único de Saúde de todas as fases da vida. Objetivo: Estimar a prevalência de magreza, excesso de peso e déficit de estatura de escolares de 5 a 9 anos no estado de Goiás e regionais de saúde (RS). Métodos: Trata-se de estudo ecológico descritivo, realizado a partir de dados secundários registrados no SISVAN nos últimos 5 anos. A avaliação antropométrica foi realizada a partir dos indicadores estatura por idade e índice de massa corporal por idade. Resultados: Observou-se baixa prevalência de magreza (5,7%) e déficit de estatura (6,1%) e alta prevalência de excesso de peso (34,8%) entre as crianças avaliadas, sendo maior na RS Entorno Norte, nos dois primeiros parâmetros, e na RS Rio Vermelho, no último parâmetro. Com relação à evolução das prevalências nos últimos cinco anos, observou-se aumento do excesso de peso. Conclusão: Destacou-se o crescente aumento no excesso de peso em escolares de 5 a 9 anos, indicando a importância do monitoramento dos dados de estado nutricional, bem como a atenção para o desenvolvimento de ações voltadas para a reversão do cenário encontrado

In recent years, the Brazilian population has shown a significant increase in overweight individuals and a reduction in the prevalence of malnutrition. The Food and Nutrition Surveillance System (SISVAN) allows the monitoring of anthropometric data and food consumption markers of users of Primary Care of the Unified Health System of all stages of life. Objective: To estimate the prevalence of thinness, excess weight and short stature in schoolchildren aged 5 to 9 years in the state of Goiás and regional health centers (RS). Methods: This is an descriptive ecological study, based on secondary data recorded in SISVAN in the last 5 years. Anthropometric assessment was performed using height-for-age and body mass index-for-age indicators. Results: There was a low prevalence of thinness (5.7%) and short stature (6.1%) and a high prevalence of overweight (34.8%) among the children evaluated, being higher in RS Entorno Norte in the first two parameters and in the RS Rio Vermelho in the last parameter. Regarding the evolution of prevalence in the last five years, an increase in excess weight was observed. Conclusion: The growing increase in overweight in schoolchildren aged 5 to 9 years was highlighted, indicating the importance of monitoring nutritional status data, as well as attention to the development of actions aimed at reversing the scenario found

The contribution of breastfeeding to a healthy, secure and sustainable food system for infants and young children: monitoring mothers' milk production in the food surveillance system of Norway.

OBJECTIVE: The mother-child breastfeeding dyad is a powerful force for achieving healthy, secure and sustainable food systems. However, food system reports exclude breastfeeding and mother's milk. To help correct this omission and give breastfeeding women greater visibility in food systems dialogue and action, we illustrate how to estimate mother's milk production and incorporate this into food surveillance systems, drawing on the pioneering experience of Norway to show the potential value of such analysis. DESIGN: The estimates use data on the proportion of children who are breastfed at each month of age (0-24 months), annual number of live births and assumptions on daily human milk intake at each month. New indicators for temporal and cross-country comparisons are considered. SETTING: It is assumed that a breastfeeding mother on average produces 306 l of milk during 24 months of lactation. PARTICIPANTS: The annual number of live births is from Statistics Norway. Data for any breastfeeding at each month of age, between 0 and 24 months, are from official surveys in 1993, 1998-1999, 2006-2007, 2013 and 2018-2019. RESULTS: Estimated total milk production by Norwegian mothers increased from 8·2 to 10·1 million l per year between 1993 and 2018-2019. Annual per capita production increased from 69 to 91 l per child aged 0-24 months. CONCLUSIONS: This study shows it is feasible and useful to include human milk production in food surveillance systems as an indicator of infant and young child food security and dietary quality. It also demonstrates significant potential for greater milk production.

Food and Nutrition Systems Dashboards: A Systematic Review.

The rapid expansion of food and nutrition information requires new ways of data sharing and dissemination. Interactive platforms integrating data portals and visualization dashboards have been effectively utilized to describe, monitor, and track information related to food and nutrition; however, a comprehensive evaluation of emerging interactive systems is lacking. We conducted a systematic review on publicly available dashboards using a set of 48 evaluation metrics for data integrity, completeness, granularity, visualization quality, and interactivity based on 4 major principles: evidence, efficiency, emphasis, and ethics. We evaluated 13 dashboards, summarized their characteristics, strengths, and limitations, and provided guidelines for developing nutrition dashboards. We applied mixed effects models to summarize evaluation results adjusted for interrater variability. The proposed metrics and evaluation principles help to improve data standardization and harmonization, dashboard performance and usability, broaden information and knowledge sharing among researchers, practitioners, and decision makers in the field of food and nutrition, and accelerate data literacy and communication.

Towards Real-Time and Affordable Strain-Level Metagenomics-Based Foodborne Outbreak Investigations Using Oxford Nanopore Sequencing Technologies.

The current routine laboratory practices to investigate food samples in case of foodborne outbreaks still rely on attempts to isolate the pathogen in order to characterize it. We present in this study a proof of concept using Shiga toxin-producing Escherichia coli spiked food samples for a strain-level metagenomics foodborne outbreak investigation method using the MinION and Flongle flow cells from Oxford Nanopore Technologies, and we compared this to Illumina short-read-based metagenomics. After 12 h of MinION sequencing, strain-level characterization could be achieved, linking the food containing a pathogen to the related human isolate of the affected patient, by means of a single-nucleotide polymorphism (SNP)-based phylogeny. The inferred strain harbored the same virulence genes as the spiked isolate and could be serotyped. This was achieved by applying a bioinformatics method on the long reads using reference-based classification. The same result could be obtained after 24-h sequencing on the more recent lower output Flongle flow cell, on an extract treated with eukaryotic host DNA removal. Moreover, an alternative approach based on in silico DNA walking allowed to obtain rapid confirmation of the presence of a putative pathogen in the food sample. The DNA fragment harboring characteristic virulence genes could be matched to the E. coli genus after sequencing only 1 h with the MinION, 1 h with the Flongle if using a host DNA removal extraction, or 5 h with the Flongle with a classical DNA extraction. This paves the way towards the use of metagenomics as a rapid, simple, one-step method for foodborne pathogen detection and for fast outbreak investigation that can be implemented in routine laboratories on samples prepared with the current standard practices.

Antimicrobial Resistance Profile of Acinetobacter spp. Isolates from Retail Meat Samples under Campylobacter-Selective Conditions.

Acinetobacter strains are widely present in the environment. Some antimicrobial-resistant strains of this genus have been implicated in infections acquired in hospitals. Genetic similarities have been reported between Acinetobacter strains in nosocomial infections and those isolated from foods. However, the antimicrobial resistance of Acinetobacter strains in foods, such as meat, remains unclear. This study initially aimed to isolate Campylobacter strains; instead, strains of the genus Acinetobacter were isolated from meat products, and their antimicrobial resistance was investigated. In total, 58 Acinetobacter strains were isolated from 381 meat samples. Of these, 32 strains (38.6%) were from beef, 22 (26.5%) from pork, and 4 (4.8%) from duck meat. Antimicrobial susceptibility tests revealed that 12 strains were resistant to more than one antimicrobial agent, whereas two strains were multidrug-resistant; both strains were resistant to colistin. Cephalosporin antimicrobials showed high minimal inhibitory concentration against Acinetobacter strains. Resfinder analysis showed that one colistin-resistant strain carried mcr-4.3; this plasmid type was not confirmed, even when analyzed with PlasmidFinder. Analysis of the contig harboring mcr-4.3 using BLAST confirmed that this contig was related to mcr-4.3 of Acinetobacter baumannii. The increase in antimicrobial resistance in food production environments increases the resistance rate of Acinetobacter strains present in meat, inhibits the isolation of Campylobacter strains, and acts as a medium for the transmission of antimicrobial resistance in the environment. Therefore, further investigations are warranted to prevent the spread of antimicrobial resistance in food products.

Application of a strain-level shotgun metagenomics approach on food samples: resolution of the source of a Salmonella food-borne outbreak.

Food-borne outbreak investigation currently relies on the time-consuming and challenging bacterial isolation from food, to be able to link food-derived strains to more easily obtained isolates from infected people. When no food isolate can be obtained, the source of the outbreak cannot be unambiguously determined. Shotgun metagenomics approaches applied to the food samples could circumvent this need for isolation from the suspected source, but require downstream strain-level data analysis to be able to accurately link to the human isolate. Until now, this approach has not yet been applied outside research settings to analyse real food-borne outbreak samples. In September 2019, a Salmonella outbreak occurred in a hotel school in Bruges, Belgium, affecting over 200 students and teachers. Following standard procedures, the Belgian National Reference Center for human salmonellosis and the National Reference Laboratory for Salmonella in food and feed used conventional analysis based on isolation, serotyping and MLVA (multilocus variable number tandem repeat analysis) comparison, followed by whole-genome sequencing, to confirm the source of the contamination over 2 weeks after receipt of the sample, which was freshly prepared tartar sauce in a meal cooked at the school. Our team used this outbreak as a case study to deliver a proof of concept for a short-read strain-level shotgun metagenomics approach for source tracking. We received two suspect food samples: the full meal and some freshly made tartar sauce served with this meal, requiring the use of raw eggs. After analysis, we could prove, without isolation, that Salmonella was present in both samples, and we obtained an inferred genome of a Salmonella enterica subsp. enterica serovar Enteritidis that could be linked back to the human isolates of the outbreak in a phylogenetic tree. These metagenomics-derived outbreak strains were separated from sporadic cases as well as from another outbreak circulating in Europe at the same time period. This is, to our knowledge, the first Salmonella food-borne outbreak investigation uniquely linking the food source using a metagenomics approach and this in a fast time frame.

Occurrence of antimicrobial residues in tilapia (Oreochromis niloticus) fillets produced in Brazil and available at the retail market.

This study was carried out to assess the occurrence of antimicrobial residues in samples of tilapia (Oreochromis niloticus) fillets collected at the State of São Paulo retail market and produced from fish farmed in Brazil. For this purpose, a liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) method was validated and used to quantify residues of 25 antibacterial drugs (2 ß-lactams, 8 quinolones, 2 macrolides, 5 sulfonamides, 4 tetracyclines, 3 amphenicols and 1 sulfonamide potentiator). For the sample preparation step the QuEChERS approach was performed. Chromatographic separation was conducted using a Zorbax SB C18 column. Method validation was performed based on European and Brazilian guidelines. The validation parameters (linearity, intra- and inter-day precision, accuracy, decision limit, detection capability and robustness) attended the adopted validation guidelines. Limits of detection and quantitation were also determined. Antimicrobial drug residues were quantitated in the incurred samples by using matrix-matched analytical curves. Oxytetracycline, florfenicol and, for the first time, enrofloxacin residues are reported in tilapia fillet samples from Brazil, though, in accordance with the European and Brazilian regulatory framework. Thus, our results draw attention to the use of veterinary products in fish farming in Brazil. Monitoring of veterinary drug residues is essential to ensure the safety of fish products available to the consumer, as well as to keep fish as a food commodity.

The impact of COVID-19 on food systems, safety, and security-a symposium report.

Our food systems depend on complex interactions between farmers and food producers, local and federal governments, and consumers. Underlying these interactions are economic, environmental, and societal factors that can impact the types of food available, access to food, affordability, and food safety. The recent SARS-CoV-2 global pandemic has affected multiple aspects of our food systems, from federal governments' decisions to limit food exports, to the ability of government agencies to inspect food and facilities to the ability of consumers to dine at restaurants. It has also provided opportunities for societies to take a close look at the vulnerabilities in our food systems and reinvent them to be more robust and resilient. For the most part, how these changes ultimately affect the safety and accessibility of food around the world remains to be seen.

Occurrence of Listeria and Escherichia coli in frozen fruit and vegetables collected from retail and catering premises in England 2018-2019.

Frozen vegetables have previously been associated with outbreaks of listeriosis in both the USA and Europe. An outbreak of Listeria monocytogenes serogroup 4 caused 53 cases in five European countries between 2015 and 2018. Whole genome sequencing (WGS) indicated that frozen sweet corn from a producer in Hungary was the source of illness. However, limited data is available on the prevalence of Listeria in frozen produce. A study of frozen fruit and vegetables from catering and retail premises in England was therefore carried out to assess their microbiological quality with respect to Listeria and Escherichia coli. Between December 2018 and April 2019, 1050 frozen fruit and vegetable samples were collected. Of these, 99% were of a satisfactory or borderline microbiological quality. Eleven samples (1%) contained ≥100 cfu/g of Escherichia coli (considered unsatisfactory in products labelled as ready-to-eat). Listeria monocytogenes or other Listeria species were detected in six samples (2%) of fruit compared to 167 samples (24%) of vegetables and six samples (26%) of fruit and vegetable mixes, but none at a level of ≥100 cfu/g. Characterisation by WGS of 74 L. monocytogenes isolates identified ten genetic clusters indicating a common source. For 8 of the 10 clusters, the isolates came from homogenous food types: four were sweet corn, and there was one cluster each for beans, peas, peppers and broccoli. There were five genetic associations between isolates from frozen vegetables and from clinical cases of listeriosis, including two cultures from frozen beans that were indistinguishable from the 2015-2018 sweet corn outbreak strain. This study indicates that L. monocytogenes was present in 10% of frozen vegetables and even though products are generally not ready-to-eat and are intended to be cooked prior to consumption, these have the potential to cause illness. Clear cooking and handling instructions are therefore required on these products to ensure that the health of consumers is not put at risk, and appropriate Good Manufacturing Practice measures should be followed by all fruit and vegetable freezing plants in order to reduce contamination with Listeria during processing.

A Practical Method to Implement Strain-Level Metagenomics-Based Foodborne Outbreak Investigation and Source Tracking in Routine.

The management of a foodborne outbreak depends on the rapid and accurate identification of the responsible food source. Conventional methods based on isolation of the pathogen from the food matrix and target-specific real-time polymerase chain reactions (qPCRs) are used in routine. In recent years, the use of whole genome sequencing (WGS) of bacterial isolates has proven its value to collect relevant information for strain characterization as well as tracing the origin of the contamination by linking the food isolate with the patient's isolate with high resolution. However, the isolation of a bacterial pathogen from food matrices is often time-consuming and not always successful. Therefore, we aimed to improve outbreak investigation by developing a method that can be implemented in reference laboratories to characterize the pathogen in the food vehicle without its prior isolation and link it back to human cases. We tested and validated a shotgun metagenomics approach by spiking food pathogens in specific food matrices using the Shiga toxin-producing Escherichia coli (STEC) as a case study. Different DNA extraction kits and enrichment procedures were investigated to obtain the most practical workflow. We demonstrated the feasibility of shotgun metagenomics to obtain the same information as in ISO/TS 13136:2012 and WGS of the isolate in parallel by inferring the genome of the contaminant and characterizing it in a shorter timeframe. This was achieved in food samples containing different E. coli strains, including a combination of different STEC strains. For the first time, we also managed to link individual strains from a food product to isolates from human cases, demonstrating the power of shotgun metagenomics for rapid outbreak investigation and source tracking.

Occurrence, antibiotic-resistance and virulence of E. coli strains isolated from mangrove oysters (Crassostrea gasar) farmed in estuaries of Amazonia.

Concentration of bacterial species indicative of fecal contamination in the gut of mangrove oysters (Crassostrea gasar) is a major concern for public health and food surveillance. Our work aimed to determine the occurrence, antibiotic-resistance, phylogenetic profile and virulence of Escherichia coli strains isolated from C. gasar farmed in four estuaries of Amazonia. Santo Antônio de Urindeua was the sampling point with the highest number of E. coli cells in oyster samples (104 per 100 g of sample). Twenty-four isolates (52.2%) showed resistance to cephalotin and 18 to amoxicillin (39.1%). Eighteen clonal populations were determined by rep-PCR and were mainly affiliated to the pathogenic and commensal phylo-groups B1 and D. The presence of elt genes suggests that 10 of these clones belong to the Enterotoxigenic Escherichia coli pathotype. Plasmids, mostly of the F incompatibility group, were detected in the majority of the strains. All isolates were susceptible to last-resort antibiotics.

Clostridioides difficile in national food surveillance, Slovenia, 2015 to 2017.

BackgroundClostridioides difficile is an important human and animal intestinal pathogen. Because of increasing indications of an association between C. difficile and food, in 2015, the Administration of the Republic of Slovenia for Food Safety, Veterinary Sector and Plant Protection (UVHVVR) included C. difficile in its national food surveillance.AimWe aim to report the results and experience with a nationwide and long-term testing of food for C. difficile as a part of a regular national food surveillance programme.MethodsRetail minced meat and meat preparations (beef, pork and poultry) were sampled within a three-year period, 2015 to 2017. Selected raw retail vegetables, leaf salads and root vegetables, and ready-to-eat salads were only sampled during 2016 and 2017. Seafood was only sampled in 2017.ResultsAltogether, 434 samples were tested, with 12 of 336 (3.6%) meat samples and 6 of 98 (6.1%) raw vegetables contaminated with C. difficile. Twelve of 18 recovered food isolates were toxigenic (toxinotypes 0, III, V, XII). The isolates belonged to 13 different PCR ribotypes, 001 being most common (5 isolates). Several food types with an increased potential of being contaminated with C. difficile were detected by surveillance.ConclusionThe three-year C. difficile testing within the national food surveillance revealed a low proportion of C. difficile-contaminated food and high genotype variability. Because the risk of C. difficile infection associated with C. difficile-contaminated food is unknown, no measures were recommended in the case of positive results.

Molecular characteristics of Staphylococcus aureus isolates from food surveillance in southwest China.

BACKGROUND: Staphylococcal food poisoning (SFP) is one of the most common food-borne diseases in the world. Pulsed-field gel electrophoresis (PFGE), multilocus sequence typing (MLST) and spa typing methods were used to characterize Staphylococcus aureus isolates from food surveillance during 2013-2015 in southwest China, and Staphylococcal cassette chromosome mec (SCCmec) typing was used for methicillin-resistant S. aureus (MRSA). Isolates were also examined for their antibiotic resistance and carriage of virulence genes. RESULTS: Isolation rate of S. aureus was 2.60% during the three years' surveillance and 29.50% of them were MRSA. All the S. aureus had hla genes (100%), 14.34% of the strains had tst, and 16.73% had PVL. 163 PFGE-SmaI patterns, 41 ST types and 36 spa types were obtained for all the S. aureus. Among them, ST6-t701 (13.15%), ST7-t091 (12.75%), ST59-t437 (9.96%) and ST5-t002 (7.57%) were the prevalent genotypes. Most of MRSA in this study belonged to SCCmec IV and V, accounted for 74.32% and 20.27% respectively. ST6-SCCmec IV-t701 (36.50%) was the most prevalent clone among isolates from food, followed by ST59-SCCmec V-t437 (20.30%), ST5-SCCmec IV-t002 (12.20%) and ST59-SCCmec IV-t437 (12.20%). Some strains had the identical PFGE patterns, ST and spa types with isolates from patients. CONCLUSIONS: S. aureus isolated from food in southwest China displayed heterogeneity. Isolates had the same genotype profiles with isolates from patients, indicating high homology.

Microbiological contamination in peanut confectionery processing plants.

AIMS: In order to investigate Enterobacteriaceae, coliforms, Escherichia coli and Salmonella contamination, a survey was conducted at three peanut confectionery processing companies (A, B and C) in Brazil. METHODS AND RESULTS: Samples of different peanut confectionery products (n = 59), peanut raw material (n = 30), manufacturing environment (n = 116) and workers' hand surfaces (n = 12) were analysed. Salmonella and E. coli were not detected in any final product or raw material analysed. Enterobacteriaceae was isolated from 15% of final products. Coliforms were detected in only one sample. Referring to the raw material, six samples showed contamination by Enterobacteriaceae and three samples by coliforms. For the process environment, 19% and 11% of samples presented Enterobacteriaceae and coliforms. Escherichia coli was detected in 5% of samples, and one of these samples tested positive for Salmonella; this strain was serotyping as S. Heidelberg. All food handlers surveyed in Company C showed Enterobacteriaceae and coliforms on their hands. Escherichia coli was isolated from one food worker's hand. CONCLUSION: The results showed that the manufacturing environment, including food handlers were considered the main sources for possible contamination of peanut confectionery products. SIGNIFICANCE AND IMPACT OF THE STUDY: This has been the first study to investigate the occurrence of Salmonella and other Enterobacteriaceae throughout peanut confectionery processing lines. The results might be used to assist risk assessment studies and to establish more effective control measures.

Shiga Toxin-Producing Escherichia coli in Meat and Vegetable Products in Emilia Romagna Region, Years 2012-2013.

In 2012-2013 Emilia-Romagna Region introduced a monitoring plan for Shiga toxin-producing Escherichia coli (STEC) in foodstuff. Six hundred eighty-nine meat samples and 273 fruit and vegetable products were analyzed according to ISOTS13136. Pre-enriched samples were tested by multiplex real time PCR targeting the virulence genes eae, stx1 and stx2. Stx2 positive samples were investigated for the presence of serogroup O104 associated gene. O103, O111, O145, O157, O26 associated genes were tested on samples positive for stx in association with eae gene. Isolation of E. coli strains was attempted from samples positive for serogroup-associated genes. Thirty-four meat products (4.9%) resulted positive for stx1 and/or stx2 genes and 46 (6.7%) for stx1 and/or stx2 genes in association with eae gene. Forty-five (6.5%) samples resulted positive at least at one serogroup. Serogroup O103, O104, O111, O145, O157 and O26 genes were detected respectively in 1.3, 0.3, 0.1, 3.9, 2.9 and 2.5% samples; 0.6% samples resulted positive for STEC isolation (2 E. coli O103 and 2 E. coli O157). It is worth noting that STEC virulence genes were detected at high frequency (19%) in fresh pork meat sausages. Four (1.5%) vegetable samples were positive for stx1 and/or stx2 genes and 1 (0.4%) for stx1 and/or stx2 genes in association with eae gene; none resulted positive for the tested serogroups. Only a low number of samples positive by molecular methods were confirmed by cultural isolation. It is therefore of the uttermost importance for appropriate risk management, to be fully aware of the meaning of the analytical result.

Utilização e cobertura do Sistema de Vigilância Alimentar e Nutricional no Estado do Rio Grande do Sul, Brasil / Utilization and coverage of a Food and Nutritional Surveillance System in Rio Grande do Sul state, Brazil

O objetivo deste artigo é descrever o percentual de utilização e a cobertura do Sistema de Vigilância Alimentar e Nutricional - Web (SISVAN-Web) nas Coordenadorias Regionais de Saúde do Rio Grande do Sul em 2010 e verificar sua correlação com variáveis socioeconômicas, demográficas e de organização do sistema de saúde. Estudo ecológico que utilizou dados secundários do SISVAN-Web, Departamento de Atenção Básica do Ministério da Saúde, Departamento de Informática do Sistema Único de Saúde e Instituto Brasileiro de Geografia e Estatística. A avaliação de utilização e cobertura restringiu-se aos dados de estado nutricional. Percentual de utilização refere-se ao número de municípios que alimentaram o sistema. Cobertura total foi definida como o percentual de indivíduos acompanhados pelo SISVAN-Web. Verificou-se que 324 municípios do RS alimentaram o aplicativo, correspondendo a um percentual de utilização de 65,3%. Observou-se em todas as CRS uma maior cobertura do sistema nas idades de 0 a 5 anos e 5 a 10 anos. Verificou-se relação significativa entre o percentual de utilização do SISVAN-Web e a cobertura da Estratégia de Saúde da Família (ESF) em cada CRS. Os resultados deste estudo indicaram baixos percentuais de utilização e cobertura do SISVAN-Web no Rio Grande do Sul em 2010.

This article seeks to describe the utilization and coverage percentage of the Nutritional and Food Surveillance System (SISVAN-Web) in the Regional Health Offices of Rio Grande do Sul in 2010 and to assess its correlation with socio-economic, demographic and health system organization variables at the time. It is an ecological study that used secondary data from the SISVAN-Web, the Department of Primary Health Care, the IT Department of the Unified Health System and the Brazilian Institute of Geography and Statistics. The evaluation of utilization and coverage data was restricted to nutritional status. The percentage of utilization of SISVAN-Web refers to the number of cities that fed the system. Total coverage was defined as the percentage of individuals in all stages of the life cycle monitored by SISVAN-Web. It was found that 324 cities fed the application, corresponding to a utilization percentage of 65.3%. Greater system coverage was observed in all Regional Health Coordination (RHC) Units for ages 0 to 5 years and 5-10 years. There was a significant association between the percentage of utilization of SISVAN-Web and Family Health Strategy coverage in each RHC Unit. The results of this study indicated low percentages of utilization and coverage of SISVAN-Web in Rio Grande do Sul.