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Stephanie J Dancer

Dados Biográficos

ID6813004
NOMEStephanie J Dancer
PRENOMESStephanie J
SOBRENOMEDancer
ASSINATURADANCER S J
AFILIAÇÕESEdinburgh Napier University
ORCID0000-0002-8777-2614
VERIFICADOSim
TOTAL DE OBRAS3
TOTAL DE CITAÇÕES2
TOTAL COMO AUTOR3
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2013
ANO MAIS RECENTE DE PUBLICAÇÃO2020
ÍNDICE H1
  • How can airborne transmission of Covid-19 indoors be minimised?

    Open Access•Lidia Morawska, Julian W Tang et al.•ARTICLE•Environment International•2020

    During the rapid rise in COVID-19 illnesses and deaths globally, and notwithstanding recommended precautions, questions are voiced about routes of transmission for this pandemic disease. Inhaling small airborne droplets is probable as a third route of infection, in addition to more widely recognized transmission via larger respiratory droplets and direct contact with infected people or contaminated surfaces. While uncertainties remain regarding t…

  • What are the threats from antimicrobial resistance for maternity units in low- and middle- income countries

    Open Access•Warren Graham, Emma Morrison et al.•ARTICLE•Global Health Action•2016

    No abstract available

  • Visualizing the invisible

    Colin Macduff, Fiona Karen Wood et al.•ARTICLE•Arts & Health•2013•Citada por: 2•Referências: 2

    Background: While efforts to enhance healthcare workers' knowledge and behaviours in the prevention and control of healthcare-associated infections (HAIs) have been considerable, little is known about how staff visualize pathogens and their relationship to HAIs. This study, therefore, sought to explore how healthcare workers envisage pathogens in the context of HAIs. Method: Ten hospital-based healthcare workers and two patient representatives pa…

  • Visualizing the invisible

    Colin Macduff, Fiona Karen Wood et al.•ARTICLE•Arts & Health•2013•Citada por: 2•Referências: 2

    Background: While efforts to enhance healthcare workers' knowledge and behaviours in the prevention and control of healthcare-associated infections (HAIs) have been considerable, little is known about how staff visualize pathogens and their relationship to HAIs. This study, therefore, sought to explore how healthcare workers envisage pathogens in the context of HAIs. Method: Ten hospital-based healthcare workers and two patient representatives pa…

  • Visualizing the invisible

    Colin Macduff, Fiona Karen Wood et al.•ARTICLE•Arts & Health•2013•Citada por: 2•Referências: 2

    Background: While efforts to enhance healthcare workers' knowledge and behaviours in the prevention and control of healthcare-associated infections (HAIs) have been considerable, little is known about how staff visualize pathogens and their relationship to HAIs. This study, therefore, sought to explore how healthcare workers envisage pathogens in the context of HAIs. Method: Ten hospital-based healthcare workers and two patient representatives pa…

  • What are the threats from antimicrobial resistance for maternity units in low- and middle- income countries

    Open Access•Warren Graham, Emma Morrison et al.•ARTICLE•Global Health Action•2016

    No abstract available

  • How can airborne transmission of Covid-19 indoors be minimised?

    Open Access•Lidia Morawska, Julian W Tang et al.•ARTICLE•Environment International•2020

    During the rapid rise in COVID-19 illnesses and deaths globally, and notwithstanding recommended precautions, questions are voiced about routes of transmission for this pandemic disease. Inhaling small airborne droplets is probable as a third route of infection, in addition to more widely recognized transmission via larger respiratory droplets and direct contact with infected people or contaminated surfaces. While uncertainties remain regarding t…

Medicine (3 obras) · Biology (2 obras) · Environmental health (2 obras) · Political science (2 obras) · Sociology (2 obras) · Adaptation (eye (1 obras) · Air filter (1 obras) · Airborne transmission (1 obras) · Antibiotic resistance (1 obras) · Artificial Intelligence (1 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae