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http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/6962| A computational analysis on Covid-19 transmission raises imuuno-epidemiology concerns. | |
| anthony Kyriakopoulos Shi Zhao | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| https://doi.org/10.1101/2020.11.11.20229641 | |
| For Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-COV-2) the investigation of the heterogeneity of individual infectiousness becomes important due to the cross reactive immunity of general population. Using a sample of infected population with SARS-COV-2 in close geographical proximity to the initial Severe Advanced Respiratory Syndrome-1 [SARS-1] outbreak, we explored the association between infectors age and dispersion (or heterogeneity) of individual infectiousness (k) in order to investigate the relatedness with the age of an individuals capability to disperse SARS-COV-2. Interestingly, we find a negative association between k and increase of infectors age. Significantly this becomes more evident for the age group of 20-60 years comparing with the infectors with younger age. This raises important immuno-epidemiology concerns for effectiveness of public health measures to contain the disease. | |
| medRxiv and bioRxiv | |
| 13-11-2020 | |
| Documento de trabajo | |
| www.medrxiv.org | |
| Inglés | |
| Epidemia COVID-19 | |
| Público en general | |
| VIRUS RESPIRATORIOS | |
| Versión publicada | |
| publishedVersion - Versión publicada | |
| Aparece en las colecciones: | Artículos científicos |
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| A computational analysis on Covid.pdf | 207.6 kB | Adobe PDF | Visualizar/Abrir |