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COVID-19 and Kawasaki disease: an analysis using Google Trends

Detalles Bibliográficos
Autores principales: Dey, Mrinalini, Zhao, Sizheng Steven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7298164/
https://www.ncbi.nlm.nih.gov/pubmed/32557254
http://dx.doi.org/10.1007/s10067-020-05231-z
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author Dey, Mrinalini
Zhao, Sizheng Steven
author_facet Dey, Mrinalini
Zhao, Sizheng Steven
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spelling pubmed-72981642020-06-17 COVID-19 and Kawasaki disease: an analysis using Google Trends Dey, Mrinalini Zhao, Sizheng Steven Clin Rheumatol Letter to the Editor Springer International Publishing 2020-06-17 2020 /pmc/articles/PMC7298164/ /pubmed/32557254 http://dx.doi.org/10.1007/s10067-020-05231-z Text en © International League of Associations for Rheumatology (ILAR) 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Letter to the Editor
Dey, Mrinalini
Zhao, Sizheng Steven
COVID-19 and Kawasaki disease: an analysis using Google Trends
title COVID-19 and Kawasaki disease: an analysis using Google Trends
title_full COVID-19 and Kawasaki disease: an analysis using Google Trends
title_fullStr COVID-19 and Kawasaki disease: an analysis using Google Trends
title_full_unstemmed COVID-19 and Kawasaki disease: an analysis using Google Trends
title_short COVID-19 and Kawasaki disease: an analysis using Google Trends
title_sort covid-19 and kawasaki disease: an analysis using google trends
topic Letter to the Editor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7298164/
https://www.ncbi.nlm.nih.gov/pubmed/32557254
http://dx.doi.org/10.1007/s10067-020-05231-z
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