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Original Artikel |
Datum |
Titel |
Autoren Alle Autoren |
| 1 |
[GO] |
2026―Jun―08 |
Development of Public Health Policy by Digital Twin Microsimulation and Q-learning: A COVID-19 Booster Case Study |
Guoxuan Ma, Sicong Xie, Lili Zhao, Jian Kang |
| 2 |
[GO] |
2024―Feb―05 |
Assessing COVID-19 Prevalence in Austria with Infection Surveys and Case Count Data as Auxiliary Information |
Stéphane Guerrier, Christoph Kuzmics, Maria-Pia Victoria-Feser |
| 3 |
[GO] |
2023―Okt―17 |
Hierarchical Neyman-Pearson Classification for Prioritizing Severe Disease Categories in COVID-19 Patient Data |
Lijia Wang, Y. X. Rachel Wang, Jingyi Jessica Li, Xin Tong |
| 4 |
[GO] |
2021―Dez―17 |
Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data |
Corbin Quick, Rounak Dey, Xihong Lin |
| 5 |
[GO] |
2021―Dez―17 |
Rejoinder: Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data |
Corbin Quick, Rounak Dey, Xihong Lin |
| 6 |
[GO] |
2021―Dez―17 |
Discussion of “Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data” |
Natalie Dean, Yang Yang |
| 7 |
[GO] |
2021―Dez―17 |
Discussion on “Regression Models for Understanding COVID-19 Epidemic Dynamics With Incomplete Data” |
Jyotishka Datta, Bhramar Mukherjee |
| 8 |
[GO] |
2021―Dez―17 |
Statistical Models for COVID-19 Incidence, Cumulative Prevalence, and R t |
Nicholas P. Jewell |
| 9 |
[GO] |
2021―Mrz―15 |
The Interplay of Demographic Variables and Social Distancing Scores in Deep Prediction of U.S. COVID-19 Cases* |
Francesca Tang, Yang Feng, Hamza Chiheb, Jianqing Fan |
| 10 |
[GO] |
2021―Mrz―05 |
The Effects of Stringent and Mild Interventions for Coronavirus Pandemic |
Ting Tian, Jianbin Tan, Wenxiang Luo, Yukang Jiang, Minqiong Chen, Songpan Yang, et al. (+3) Canhong Wen, Wenliang Pan, Xueqin Wang |
