|
original article |
Date |
Title |
Authors All Authors |
1 |
[GO] |
2025―Feb―14 |
Optimal control of a COVID-19 dynamics based on SEIQR model |
Zhong-Ning Li, Yong-Lu Tang, Zong Wang |
2 |
[GO] |
2025―Feb―12 |
Analysis of changes in tuberculosis incidence trends before and after COVID-19 based on time series models |
Minli Chang, Mawlanjan Emam, Nana Zhang, Xiaodie Chen, Zhifei Chen, Xilong Du, et al. (+3) Dongmei Lu, Liping Zhang, Yanling Zheng |
3 |
[GO] |
2025―Feb―10 |
Dynamics of simultaneous propagation of two COVID-19 strains |
Padma Bhushan Borah, Kaushik Dehingia, Hemanta Kr. Sarmah, Homan Emadifar |
4 |
[GO] |
2025―Feb―10 |
Retrospective analysis of estimated serial interval and reproductive number of SARS-CoV-2 Omicron variant in Korea |
Chunjuan Zhu, Cheng Cheng, Jia Guo, Xiaomei Feng, Qiwen Sun |
5 |
[GO] |
2025―Jan―31 |
The impact of lifting COVID-19 restrictions on influenza transmission across countries |
Wenyu Du, Zhenghui Feng, Yi Zhao |
6 |
[GO] |
2025―Jan―24 |
Estimating the two consecutive epidemic waves of SARS-CoV-2 Omicron in Shenzhen, China from November 2022 to July 2023: a modeling study based on multi-source surveillance and mobility data |
Yepeng Shi, Qiuying Lv, Kemin Zhu, Jun Cai, Dongfeng Kong, Kang Liu, et al. (+3) Zhigao Chen, Zhen Zhang, Ling Yin |
7 |
[GO] |
2024―Sep―02 |
Modeling the co-circulation of influenza and COVID-19 in Hong Kong, China |
Li Wen, Yi Yin, Qiong Li, Zhihang Peng, Daihai He |
8 |
[GO] |
2024―Jul―05 |
Trending on the use of Google mobility data in COVID-19 mathematical models |
Yang Deng, Hefei Lin, Daihai He, Yi Zhao |
9 |
[GO] |
2024―Feb―20 |
A mathematical model for evaluating the impact of nonpharmaceutical interventions on the early COVID-19 epidemic in the United Kingdom |
Hongyu Zhang, Shuanglin Jing |
10 |
[GO] |
2024―Jan―25 |
Dynamical analysis of a novel fractional order SIDARTHE epidemic model of COVID-19 with the Caputo-Fabrizio(CF) derivative |
Yu Zhao, Tian-zeng Li, Rong Kang, Xi-liang He |
11 |
[GO] |
2023―Nov―22 |
Reproduction number projection for the COVID-19 pandemic |
Ryan Benjamin |
12 |
[GO] |
2022―Oct―27 |
A physics-informed neural network to model COVID-19 infection and hospitalization scenarios |
Sarah Berkhahn, Matthias Ehrhardt |
13 |
[GO] |
2022―Apr―18 |
Investigation of a time-fractional COVID-19 mathematical model with singular kernel |
Amir Ali, Mati ur Rahmamn, Zahir Shah, Poom Kumam |
14 |
[GO] |
2022―Jan―21 |
A new mathematical model of multi-faced COVID-19 formulated by fractional derivative chains |
Ibtisam Aldawish, Rabha W. Ibrahim |
15 |
[GO] |
2022―Jan―04 |
On three-term conjugate gradient method for optimization problems with applications on COVID-19 model and robotic motion control |
Ibrahim Mohammed Sulaiman, Maulana Malik, Aliyu Muhammed Awwal, Poom Kumam, Mustafa Mamat, Shadi Al-Ahmad |