Improving predictive asthma algorithms with modelled environment data for Scotland: an observational cohort study protocol

INTRODUCTION: Asthma has a considerable, but potentially, avoidable burden on many populations globally. Scotland has some of the poorest health outcomes from asthma. Although ambient pollution, weather changes and sociodemographic factors have been associated with asthma attacks, it remains unclear...

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Detalles Bibliográficos
Autores principales: Soyiri, Ireneous N, Sheikh, Aziz, Reis, Stefan, Kavanagh, Kimberly, Vieno, Massimo, Clemens, Tom, Carnell, Edward J, Pan, Jiafeng, King, Abby, Beck, Rachel C, Ward, Hester J T, Dibben, Chris, Robertson, Chris, Simpson, Colin R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2018
Materias:
Respiratory Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5961591/
https://www.ncbi.nlm.nih.gov/pubmed/29780034
http://dx.doi.org/10.1136/bmjopen-2018-023289

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5961591/
https://www.ncbi.nlm.nih.gov/pubmed/29780034
http://dx.doi.org/10.1136/bmjopen-2018-023289

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