http://static.sites.sbq.org.br/quimicanova.sbq.org.br/pdf/AG2020-0202.pdf

Lima, Maria L. S. O.; Almeida, Ramon K.S.; Fonseca, Francine Souza Alves da; Gonçalves, Caroline C. S.

doi:10.21577/0100-4042.20170552

Cited by 9 publications

(10 citation statements)

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“…The low adherence to alcohol use may be due to the lack of alcohol dispensers in the hospitalization sector. However, 19.53% used water alone, which is not enough to inactivate microorganisms, since molecules present in the sanitizers, products based on alcohol and surfactants, act on the phospholipid bilayer of membranes (Lima, Almeida, da Fonseca, & Gonçalves, 2020).…”

Section: Discussionmentioning

confidence: 99%

Hand Hygiene by Healthcare Workers: a neglected practice

Fontana

Rossato

Ferreira

et al. 2021

RSD

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Hand Hygiene (HH) is a simple and essential action in the prevention of infectious diseases. Therefore, the aim of this study was to evaluate the levels of adherence, technique, and knowledge about HH by healthcare workers and perform an educational intervention. We conducted a cross-sectional analysis with 20 professionals, for six months. We observed and categorized the HH opportunities, evaluated the performance of the correct technique, determined the degree of HH compliance (Positivity Index proposed by Carter, IPC) and applied a questionnaire about HH. The data contributed to conduct training and discussion about COVID-19, using a didactic model of virus. We observed N = 791 opportunities for HH, but only N = 128 (16.18%) were performed, with the correct technique in 80.47% (N = 103). The categories with the greatest number of opportunities for HH were “after patient care” (N = 238) and “before patient care” (N = 214). However, HH occurred only in N = 76 (31.93%) and N = 28 (13.08%), respectively. Comparing the categories, the highest adherence was "after removing the gloves" (53.19%). The degree of HH compliance in this study is lower than that recommended by the IPC (70%). In the questionnaires, workers affirmed to have taken at least one course about HH throughout their careers; few of them mentioned virus as a microbe present in the hands; “Lack of time” was the major reason to not HH. The educational intervention reinforced the importance of the correct HH technique, stimulated adaptations in the hospital structure and in strategies for coping with the emergence of the pandemic.

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Section: Discussionmentioning

confidence: 99%

Hand Hygiene by Healthcare Workers: a neglected practice

Fontana

Rossato

Ferreira

et al. 2021

RSD

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“…Esse diagnóstico é feito por meio de exames laboratoriais que identificam o sequenciamento parcial ou total do genoma viral. Essa identificação pode ser por meio da coleta de amostras de sangue ou secreções respiratórias, extraídas por aspiração nasofaríngea ou swabs combinados (nasal / oral) ou do trato respiratório inferior, sendo escarro ou lavado traqueal ou lavado broncoalveolar (LIMA, 2020).…”

Section: Coronavírus (Covid-19)unclassified

“…(LIMA, 2020).O coronavírus batizado pela Organização Mundial da Saúde (OMS) para COVID-19 é um vírus da família Coronaviridae e subfamília Betacoronavirus, que apesar de causar sintomas semelhantes a uma gripe comum, pode evoluir para síndromes respiratórias e gastrointestinais, a partir de doenças leve a grave(LIMA, 2020). Este vírus é altamente contagioso e sua transmissão pode ocorrer por contato, gotículas, aerossóis, fômites, fecal-oral, pelo sangue da mãe para o filho e do animal para o ser humano(OPAS, 2020).As cargas virais mais altas são observadas no início dos sintomas, seguidas por uma diminuição gradual ao longo do tempo.…”

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Reflexões Sobre a Atividade Laboral Dos Motoristas De Ônibus Em Tempos De Covid-19: Riscos Visíveis E Os Invisíveis

Alcântara¹,

Silva²,

Pereira³

et al. 2021

Ações E Experiências Para O Enfrentamento Da Pandemia De COVID-19

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Direitos para esta edição cedidos à Atena Editora pelos autores. Todo o conteúdo deste livro está licenciado sob uma Licença de Atribuição Creative Commons. Atribuição-Não-Comercial-NãoDerivativos 4.0 Internacional (CC BY-NC-ND 4.0).O conteúdo dos artigos e seus dados em sua forma, correção e confiabilidade são de responsabilidade exclusiva dos autores, inclusive não representam necessariamente a posição oficial da Atena Editora. Permitido o download da obra e o compartilhamento desde que sejam atribuídos créditos aos autores, mas sem a possibilidade de alterá-la de nenhuma forma ou utilizá-la para fins comerciais. Todos os manuscritos foram previamente submetidos à avaliação cega pelos pares, membros do Conselho Editorial desta Editora, tendo sido aprovados para a publicação com base em critérios de neutralidade e imparcialidade acadêmica.A Atena Editora é comprometida em garantir a integridade editorial em todas as etapas do processo de publicação, evitando plágio, dados ou resultados fraudulentos e impedindo que interesses financeiros comprometam os padrões éticos da publicação. Situações suspeitas de má conduta científica serão investigadas sob o mais alto padrão de rigor acadêmico e ético.

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“…Moreover, human error is the biggest reason for the occurrence of motorcycle accidents. Human error, can be de ne as riders' behaviours comprising speediness, fatigue, drug, drowsiness, alcohol drunkenness, attentiveness, wearing of uorescent jacket and safety helmet use [15,16]. Previous study carried out by [17,18], found in context of drivers' illegal bahaviour, psychological factor in uence on the risky driving behavior.…”

Section: Introductionmentioning

confidence: 99%

Sustainable Hydrodynamic of Artificial Neural Networks and Logistic Regression Model to Lane Change Serious Conflict at Unsignalized Intersection on Malaysia’s Federal Route

Mustakim

Aziz

Ahmad

et al. 2023

Preprint

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The neural network approach is used to resolve the interdependencies between inputs and outputs in a major conflict on the Malaysian Federal Route’s unsignalized intersection (UI).Two group of dataset being use in this study, they are right turning motor vehicle (RTMs) which consist eight hundred forty five data and serious conflict lane change model, consist three hundred sixty three dataset. The aim of the study are to develop serious conflict lane change model by using artificial neuron network (ANN) and logistic regression method (LRM) and to identify the risk of right turning motor vehicle (RTMs) behaviour. The input data consists traffic behaviour, type of gap, road geometry and traffic facilities. Subsequently the output data will be lane change serious conflict, the study utilize SPSS 26 statistic software. The first section of the study covers the neural network, while the second section describes the strategy utilised to analyse the scientific work. Third part cover the simple analysis of lane change serious conflict and analysis of gap types. Last part is comparison result between logistic regression method and artificial neuron network. This study reveals that lane change due angular conflict, speed limit 50kph, Gap 3 type, second passenger car, motorcycles, motorcycle stop near passenger car, traffic light and lane width were found significance in lane change serious conflict models. The study has determine that RTMs is motorcycle as vulnerable mode of transport. Besides, this study found that the combination between both method ANN and LRM sustainable hydrodynamic and complement each other especially on explaining the outcomes result.

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http://static.sites.sbq.org.br/quimicanova.sbq.org.br/pdf/AG2020-0202.pdf

Cited by 9 publications

References 0 publications

Hand Hygiene by Healthcare Workers: a neglected practice

Hand Hygiene by Healthcare Workers: a neglected practice

Reflexões Sobre a Atividade Laboral Dos Motoristas De Ônibus Em Tempos De Covid-19: Riscos Visíveis E Os Invisíveis

Sustainable Hydrodynamic of Artificial Neural Networks and Logistic Regression Model to Lane Change Serious Conflict at Unsignalized Intersection on Malaysia’s Federal Route

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