| 1 |
Anastassopoulou_2020 |
Data-Based Analysis, Modelling and Forecasting of the COVID-19 outbreak |
Cleo Anastassopoulou; Lucia Russo; Athanasios Tsakris; Constantinos Siettos |
2020 |
2020-02-13 |
BioRxiv |
Y |
|
|
10.1101/2020.02.11.20022186 |
ssdx8xwi |
0.895203 |
Tomie_2020, Scheuerl_2020 |
Anastassopoulou_2020, Zareie_2020, Roosa_2020 |
| 2 |
BOELLE_2020 |
Excess cases of Influenza like illnesses in France synchronous with COVID19 invasion. |
Pierre-Yves BOELLE |
2020 |
2020-03-17 |
BioRxiv |
Y |
|
|
10.1101/2020.03.14.20035741 |
ba3we97o |
0.879001 |
|
Chen_2020, Kim_J_2020 |
| 3 |
Anastassopoulou_2020 |
Data-based analysis, modelling and forecasting of the COVID-19 outbreak |
Anastassopoulou, Cleo; Russo, Lucia; Tsakris, Athanasios; Siettos, Constantinos |
2020 |
2020-03-31 |
COMM-USE |
Y |
PMC7108749 |
32231374.0 |
10.1371/journal.pone.0230405 |
uglsx7se |
0.873283 |
Tomie_2020, Scheuerl_2020 |
Anastassopoulou_2020, Zareie_2020 |
| 4 |
Boëlle_2020 |
Excess cases of influenza-like illnesses synchronous with coronavirus disease (COVID-19) epidemic, France, March 2020 |
Boëlle, Pierre-Yves; Souty, Cécile; Launay, Titouan; Guerrisi, Caroline; Turbelin, Clément; Behillil, Sylvie; Enouf, Vincent; Poletto, Chiara; Lina, Bruno; van der Werf, Sylvie; Lévy-Bruhl, Daniel; Colizza, Vittoria; Hanslik, Thomas; Blanchon, Thierry |
2020 |
2020-04-09 |
COMM-USE |
Y |
PMC7160441 |
32290901.0 |
10.2807/1560-7917.es.2020.25.14.2000326 |
8bjp039x |
0.619362 |
Scheuerl_2020 |
|
| 5 |
Russo_2020 |
Tracing DAY-ZERO and Forecasting the Fade out of the COVID-19 Outbreak in Lombardy, Italy: A Compartmental Modelling and Numerical Optimization Approach. |
Lucia Russo; Cleo Anastassopoulou; Athanassios Tsakris; Gennaro Nicola Bifulco; Emilio Fortunato Campana; Gerardo Toraldo; Constantinos Siettos |
2020 |
2020-03-20 |
BioRxiv |
Y |
|
|
10.1101/2020.03.17.20037689 |
fuqtwn5a |
0.603212 |
Tomie_2020 |
Teles_2020, He_J_2020, Liu_Q_2020 |
| 6 |
Hunter_2020 |
The spread of the COVID‐19 coronavirus: Health agencies worldwide prepare for the seemingly inevitability of the COVID‐19 coronavirus becoming endemic |
Hunter, Philip |
2020 |
2020-03-17 |
PMC |
N |
PMC7132190 |
32181577.0 |
10.15252/embr.202050334 |
egzztatj |
0.574628 |
|
|
| 7 |
Qasim_2020 |
Analysis of the Worldwide Corona Virus (COVID-19) Pandemic Trend;A Modelling Study to Predict Its Spread |
Muhammad Qasim; Waqas Ahmad; Minami Yoshida; Maree Gould; Muhammad Yasir |
2020 |
2020-04-01 |
BioRxiv |
Y |
|
|
10.1101/2020.03.30.20048215 |
8lku99jc |
0.460196 |
Scheuerl_2020 |
Teles_2020 |
| 8 |
Wan_K_2020 |
When will the battle against novel coronavirus end in Wuhan: A SEIR modeling analysis |
Wan, Kangkang; Chen, Jing; Lu, Changming; Dong, Lanlan; Wu, Zhicheng; Zhang, Lianglu |
2020 |
2020-04-01 |
COMM-USE |
Y |
PMC7125416 |
|
10.7189/jogh.10.011002 |
j224pm1k |
0.411608 |
Tomie_2020, Scheuerl_2020, Xu_L_2020 |
zhang_2020, Yan_S_2020 |
| 9 |
Garcia-Iglesias_2020 |
Early behavior of Madrid Covid-19 disease outbreak: A mathematical model |
Daniel Garcia-Iglesias; Francisco Javier de Cos Juez |
2020 |
2020-04-01 |
BioRxiv |
Y |
|
|
10.1101/2020.03.30.20047019 |
q3xoodui |
0.378801 |
Griette_2020, batista_2020, Tomie_2020 |
Zareie_2020 |
| 10 |
zhang_2020 |
When will the battle against novel coronavirus end in Wuhan: a SEIR modeling analysis |
lianglu zhang; kangkang wan; jing chen; changming lu; lanlan dong; zhicheng wu |
2020 |
2020-02-18 |
BioRxiv |
Y |
|
|
10.1101/2020.02.16.20023804 |
32vs98ya |
0.370793 |
Tomie_2020, Scheuerl_2020, Tay_K_2020 |
Wan_K_2020, Yan_S_2020 |
| 11 |
Xu_H_2020 |
Basic reproduction number of 2019 Novel Coronavirus Disease in Major Endemic Areas of China: A latent profile analysis |
Honglv Xu; Min Yuan; Liya Ma; Meng Liu; Yi Zhang; Wenwen Liu; Hong Gan; Fangbiao Tao |
2020 |
2020-04-17 |
BioRxiv |
Y |
|
|
10.1101/2020.04.13.20060228 |
zpjkwecx |
0.356677 |
Lin_Q_2020, Tomie_2020 |
|
| 12 |
Wang_2020 |
A deterministic epidemic model for the emergence of COVID-19 in China |
Meng Wang; Jingtao Qi |
2020 |
2020-03-10 |
BioRxiv |
Y |
|
|
10.1101/2020.03.08.20032854 |
6tnkz6hh |
0.339309 |
Ma_X_2020, Lin_Q_2020, Xu_L_2020 |
Wang_2020, He_J_2020 |