The present study aimed to characterize, through descriptive statistics, data from scientific articles selected in a systematic integrative review that performed a microbiological diagnosis of Salmonella spp. in aquaculture. Data were obtained from research articles published in the BVS, Scielo, Science Direct, Scopus and Web of Science databases. The selected studies were published between 2000 and 2020 on samples of aquaculture animal production (fish, shrimp, bivalve mollusks, and other crustaceans) and environmental samples of aquaculture activity (farming water, soil, and sediments). After applying the exclusion criteria, 80 articles were selected. Data such as country of origin, categories of fish investigated, methods of microbiological diagnosis of Salmonella spp., sample units analyzed and most reported serovars were mined. A textual analysis of the word cloud and by similarity and descending hierarchical classification with the application of Reinert’s algorithm was performed using R^® and Iramuteq^® software. The results showed that a higher percentage of the selected articles came from Asian countries (38.75%). Fish was the most sampled category, and the units of analysis of the culture water, muscle and intestine were more positive. The culture isolation method is the most widespread, supported by more accurate techniques such as PCR. The most prevalent Salmonella serovars reported were S. Typhimurium, S. Weltevreden and S. Newport. The textual analysis showed a strong association of the terms “Salmonella”, “fish” and “water”, and the highest hierarchical class grouped 25.4% of the associated text segments, such as “aquaculture”, “food” and “public health”. The information produced characterizes the occurrence of Salmonella spp. in the aquaculture sector, providing an overview of recent years. Future research focusing on strategies for the control and prevention of Salmonella spp. in fish production are necessary and should be encouraged.

Salmonella spp. are major foodborne pathogens linked to high morbidity and mortality, and their increasing antimicrobial resistance represents a growing global public health threat. This scoping review followed the PRISMA protocol and included 93 original articles on the microbiological diagnosis and antimicrobial resistance profiles of Salmonella spp. isolated from aquaculture, seafood and related aquatic environments. Studies were retrieved from PubMed, Scopus, SciELO, ScienceDirect, and Web of Science, covering 2004 to 2024. Eligible studies included samples from aquaculture systems, fisheries, seafood products, or related environmental and food‐processing sources. Extracted data addressed country of origin, resistance profiles, resistance genes and phenotypes, and multidrug‐resistant (MDR) serovars. Abstracts were analyzed using classical lexical statistics, word clouds, similarity graphs, and hierarchical descending classification in R and Iramuteq. Among studies, 42.8% originated from Asia, with the highest publication count in 2021. Textual analysis showed strong associations among the terms “ Salmonella ”, “isolates”, “resistance”, and “antimicrobials”. Hierarchical classification revealed themes such as “surveillance”, “pathogens in food”, and “One Health”. Tetracycline exhibited the highest resistance rate (83.3%) across studies, and the disk diffusion method was the most frequently used (72%). Commonly reported resistance genes included qnrS (fluoroquinolones), blaTEM‐1 (β‐lactamases), sul3 (sulfonamides), and dfrA12 (trimethoprim). Virulence genes such as invA, fimA , spvC , and stn were also identified. The most frequently reported MDR serovars were S. Typhimurium and S . Newport. This review highlights the relevance of antimicrobial‐resistant Salmonella in aquaculture and reinforces the need for robust monitoring aligned with One Health strategies to ensure safe and sustainable production.

Assessing fish consumption is complex and involves several factors; however, the use of questionnaires in surveys and the use of the Internet as tool to collect data have been considered promising approaches. Therefore, the objective of this research was to design a data collection technique using a questionnaire to assess fish consumption by making it available on a specific home page on the Internet. A bibliographical survey or review was carried out to identify the features of the instrument, and therefore pre-tests were conducted with previous instruments, followed by the Focus Group technique. Specialists then performed an analysis and conducted an online pre-test. Multivariate data analysis was applied using the SmartPLS software. The results indicate that 1.966 participants belonging to the University of São Paulo (USP) community participated in the test, and after the exclusion of some variables, a statistically significant results were obtained. The final constructs comprised consumption, quality, and general characteristics. The instrument consisted of behavioral statements in a 5-point Likert scale and multiple-choice questions. The Cronbach's alpha reliability coefficient was 0.66 for general characteristics, 0.98 for quality, and 0.91 for consumption, which indicate good reliability of the instrument. In conclusion, the results proved that the Internet assessment is efficient. The instrument of analysis allowed us to better understand the process of buying and consuming fish in the country, and it can be used as base for further research