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http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/1802| Estimation of effects of nationwide lockdown for containing coronavirus infection on worsening of glycosylated haemoglobin and increase in diabetes-related complications: A simulation model using multivariate regression analysis. | |
| Ghosal Samit. Sinha Binayak. Majumder Milan. Misra Anoop. | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| 10.1016/j.dsx.2020.03.014 | |
| Highlights•A lockdown of India in an attempt to preventing the spread of the virus may adversely impact both diabetes control as well as its associated complications by putting a restriction on the available resources and changes in lifestyle.•This is probably the first study to highlight that there is an increment in both the HBA1c as well as diabetes-related complications with increasing duration of a lockdown. | |
| Diabetes & Metabolic Syndrome | |
| 2020 | |
| Artículo | |
| https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146694/pdf/main.pdf | |
| Inglés | |
| VIRUS RESPIRATORIOS | |
| Aparece en las colecciones: | Artículos científicos |
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| Fichero | Tamaño | Formato | |
|---|---|---|---|
| 1100164.pdf | 1.76 MB | Adobe PDF | Visualizar/Abrir |