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COVID Antworten in den wissenschaftlichen Zeitschriften der Welt

Verlag: International Press of Boston, Inc.

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  Original Artikel Journal Datum Titel Autoren Alle Autoren
1 [GO] Statistics and Its Interface 2023―Apr―13 Study of impact of COVID-19 on industrial production indices using singular spectrum analysis Sofia Borodich Suarez, Andrey Pepelyshev
2 [GO] Communications in Information and Systems 2022―Jul―22 Mathematical artificial intelligence design of mutation-proof COVID-19 monoclonal antibodies Jiahui Chen, Guo-Wei Wei
3 [GO] Communications in Information and Systems 2021―Jun―04 COVID-19 data sharing and collaboration Dominique Duncan
4 [GO] Communications in Information and Systems 2021―Feb―08 Inverted repeats in coronavirus SARS-CoV-2 genome and implications in evolution Changchuan Yin, Stephen S.-T. Yau
5 [GO] Communications in Information and Systems 2021―Feb―08 SARS-CoV-2 becoming more infectious as revealed by algebraic topology and deep learning Jiahui Chen, Rui Wang, Guo-Wei Wei
6 [GO] Statistics and Its Interface 2020―Dez―18 Heterogeneity learning for SIRS model: an application to the COVID-19 Guanyu Hu, Junxian Geng
7 [GO] Statistics and Its Interface 2020―Dez―18 A robust nonlinear mixed-effects model for COVID-19 death data Fernanda L. Schumacher, Clécio S. Ferreira, Marcos O. Prates, Alberto Lachos, Victor H. Lachos
8 [GO] Statistics and Its Interface 2020―Dez―18 The timing and effectiveness of implementing mild interventions of COVID-19 in large industrial regions via a synthetic control method Ting Tian, Wenxiang Luo, Jianbin Tan, Yukang Jiang, Minqiong Chen, Wenliang Pan, et al. (+4)
9 [GO] Statistics and Its Interface 2020―Dez―18 Discussion on “The timing and effectiveness of implementing mild interventions of COVID-19 in large industrial regions via a synthetic control method” by Tian et al. Lu Tang
10 [GO] Statistics and Its Interface 2020―Dez―18 Discussion on “The timing and effectiveness of implementing mild interventions of COVID-19 in large industrial regions via a synthetic control method” by Tian et al. Kun Chen, Fei Wang
11 [GO] Statistics and Its Interface 2020―Dez―18 Discussion on “The timing and effectiveness of implementing mild interventions of COVID-19 in large industrial regions via a synthetic control method” by Tian et al. Yifan Zhu
12 [GO] Statistics and Its Interface 2020―Dez―18 Discussion on “The timing and effectiveness of implementing mild interventions of COVID-19 in large industrial regions via a synthetic control method” by Tian et al. Soumik Purkayastha, Peter Song
13 [GO] Statistics and Its Interface 2020―Dez―18 Discussion on “The timing and effectiveness of implementing mild interventions of COVID-19 in large industrial regions via a synthetic control method” by Tian et al. Song Xi Chen, Xianyu Zheng
14 [GO] Statistics and Its Interface 2020―Dez―18 Discussion on “The timing and effectiveness of implementing mild interventions of COVID-19 in large industrial regions via a synthetic control method” by Tian et al. Debashree Ray, Rupam Bhattacharyya, Bhramar Mukherjee
15 [GO] Statistics and Its Interface 2020―Dez―18 Rejoinder of “The timing and effectiveness of implementing mild interventions of COVID-19 in large industrial regions via a synthetic control method” Ting Tian, Wenxiang Luo, Jianbin Tan, Yukang Jiang, Minqiong Chen, Wenliang Pan, et al. (+4)
16 [GO] Statistics and Its Interface 2020―Dez―18 A novel intervention recurrent autoencoder for real time forecasting and non-pharmaceutical intervention selection to curb the spread of Covid-19 in the world Qiyang Ge, Zixin Hu, Shudi Li, Wei Lin, Li Jin, Momiao Xiong
17 [GO] Statistics and Its Interface 2020―Dez―18 Forecasting confirmed cases of the COVID-19 pandemic with a migration-based epidemiological model Xinyu Wang, Lu Yang, Hong Zhang, Zhouwang Yang, Catherine Liu
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