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BACKGROUND: The literature discussing musculoskeletal diseases of inner northeastern workers is scarce, although 67,559 cases were reported in Brazil between 2007 and 2016. OBJECTIVE: This study aimed to evaluate the effect of multiple risk factors that influence the symptoms of work-related musculoskeletal disorders (WMSDs) in wrists, elbows, and shoulders in workers from four different economic sectors. METHODS: A sample included 420 workers from the inner regions of the Brazilian states of Alagoas and Bahia. The Nordic Musculoskeletal Questionnaire was used to capture pain symptoms on both sides of the body (left and right). Sociodemographic variables, items from the biomechanical exposure and organizational conditional, in addition to other questionnaires (JCQ, COPSOQ II, ERI) were used to assess the characteristics and occupational risks of the respondents. Ordinal logistic regression model was using to identify the relationship between symptoms and factors. RESULTS: This study highlights the psychosocial, biomechanical, occupational, and sociodemographic variables contributed to development of WMSDs. Use of hand-vibrating tool increased the likelihood of symptoms manifesting on the body. On the other hand, high job control and high job insecurity reduced the likelihood of developing symptoms. On the other hand, high job control and job satisfaction reduced the likelihood of developing symptoms. Factors such as age, curved spine, high job insecurity and excessive commitment contributed to the development of WMSDs only on one side of the body. CONCLUSIONS: The development of WMSDs is multifactorial. Sociodemographic, occupational, biomechanical, and psychosocial factors may commonly contribute to WMSD manifesting only on one side of the body more than on both sides. [ABSTRACT FROM AUTHOR]

To present the current epidemiological scenario of schistosomiasis related to urban transmission through an epidemiological risk assessment in Porto de Galinhas, a coastal area of Pernambuco, Brazil. Malacological and parasitological surveys were performed between the years 2018 and 2020. Snails were identified taxonomically and examined to confirm infection by Schistosoma mansoni, and so to identify Schistosomiasis Transmission Foci (STF) by the artificial light exposure technique. Stool samples were examined using the Kato-Katz method to identify schistosomiasis cases. Socioeconomic, environmental, behavioural and health data were collected by a questionnaire applied to participates in the survey and used to predict the schistosomiasis risk occurrence by multivariate logistic regression. In all, a total of 6466 snails of Biomphalaria glabrata were collected and 36 breeding sites were identified, of which 25 % were STF. A total of 2236 individuals took part of the survey which identified 187 cases of schistosomiasis, registering a positivity percentage of 8.36 %. The surveys identified the neighbourhoods with the highest risk for transmission while the socioenvironmental analysis identifies other risk factors for disease occurrence, such as gender, age range, level of education and absence of water drainage. We found that areas with poor sanitation, flooding during winter periods and dwellings located near mangroves should be treated by health authorities as priority areas for health interventions to minimize disease transmission. In addition, efforts to improve the population's educational level could certainly contribute to the adoption of measures to prevent and control this neglected tropical disease., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

This is an analysis of the risk of schistosomiasis transmission in the city of Recife in the Northeast of Brazil based on the number of schistosomiasis cases (Schistosoma mansoni) registered for the period 2007-2017 together with data resulting from active search of breeding sites of the Biomphalaria snail intermediate host. The analyses were performed using Kernel Density Estimation (KDE), SaTScan and Map Algebra methodology using human socio-demographic data and biotic and abiotic data from the snail breeding sites. Investigating 44 breeding sites resulted in a total of 3.800 snails, 31.8% of which were positive for S. mansoni DNA. These data were considered in relation to total of 652 schistosomiasis cases. The KDE showed two high-risk and two medium-risk clusters, while three significant clusters were identified by SaTScan. Combining these data with the Map Algebra methodology showed that all high-risk neighbourhoods had breeding sites with snails positive for S. mansoni. It was concluded that schistosomiasis transmission cannot be controlled without basic sanitation and sewage management in the presence of Biomphalaria snails. The technique of Map Algebra was found to be fundamental for the analysis and demonstration of areas with a high probability of schistosomiasis transmission.