التفاصيل البيبلوغرافية
| العنوان: |
Results. |
| المؤلفون: |
Yi Huang (112882), Ishanu Chattopadhyay (11564668) |
| سنة النشر: |
2021 |
| المجموعة: |
Smithsonian Institution: Digital Repository |
| مصطلحات موضوعية: |
Medicine, Biotechnology, Cancer, Infectious Diseases, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, past epidemics may, making precise forecasts, art models throughout, temporal process shaped, diverse factors including, demonstrated via county, universal risk phenotype, specific transmission mechanism, like transmission mechanisms, unit score emerges, transmission mechanisms, risk process, like transmission, improve county, %22">xlink ">, us population, us counties, universal influenza, unit score, theoretic divergence, still difficult, specific covid, putative demographic |
| الوصف: |
Panel A . We compare the coefficients inferred in multi-variate Poisson regression for individual weeks of the COVID-19 pandemic for the range of covariates shown in the legend. We investigate two models: (i) the baseline model without the UnIT risk related covariates, and (ii) the model augmented with the UnIT risk (See (11) ). We note that the urban-UnIT risk significantly dominates the remaining factors for the entire time-line of the pandemic. Panel B . The UnIT-augmented model has a significantly higher degree of explained variance as measured by R 2 . The percentage difference is shown in panel C , which demonstrates > 45% advantage for the major part of the pandemic time-line. Panel D illustrates that the UnIT-augmented approach achieves the smallest mean absolute error in one-week ahead county-wise incidence forecasts among the top performing teams from the COVID-19 ForecastHub Community. Finally, panel E illustrates the confirmed weekly total of case count summed over all counties vs our 1-week forecast. |
| نوع الوثيقة: |
still image |
| اللغة: |
unknown |
| Relation: |
https://figshare.com/articles/figure/Results_/16811755 |
| DOI: |
10.1371/journal.pcbi.1009363.g003 |
| الاتاحة: |
https://doi.org/10.1371/journal.pcbi.1009363.g003 |
| Rights: |
CC BY 4.0 |
| رقم الانضمام: |
edsbas.AE1D6D8B |
| قاعدة البيانات: |
BASE |