List of bibliographic references
Number of relevant bibliographic references: 44.
[0-20] [
0 - 20][
0 - 44][
20-40]
Ident. | Authors (with country if any) | Title |
---|
000276 (2021) |
Ayo Stephen Adebowale [Nigeria] ; Adeniyi F. Fagbamigbe [Nigeria] ; Joshua O. Akinyemi [Nigeria] ; Olalekan K. Obisesan [Nigeria] ; Emmanuel J. Awosanya [Nigeria] ; Rotimi F. Afolabi [Nigeria, Afrique du Sud] ; Selim A. Alarape [Nigeria] ; Sunday O. Obabiyi [Nigeria] | The spread of COVID-19 outbreak in the first 120 days: a comparison between Nigeria and seven other countries. |
000295 (2021) |
Hirotaka Sugawara | On the effectiveness of the search and find method to suppress spread of SARS-CoV-2. |
000926 (2020) |
Fadoua Balabdaoui [Suisse] ; Dirk Mohr [Suisse] | Age-stratified discrete compartment model of the COVID-19 epidemic with application to Switzerland. |
000961 (2020) |
Khouloud Talmoudi [Tunisie] ; Mouna Safer [Tunisie] ; Hejer Letaief [Tunisie] ; Aicha Hchaichi [Tunisie] ; Chahida Harizi [Tunisie] ; Sonia Dhaouadi [Tunisie] ; Sondes Derouiche [Tunisie] ; Ilhem Bouaziz [Tunisie] ; Donia Gharbi [Tunisie] ; Nourhene Najar [Tunisie] ; Molka Osman [Tunisie] ; Ines Cherif [Tunisie] ; Rym Mlallekh [Tunisie] ; Oumaima Ben-Ayed [Tunisie] ; Yosr Ayedi [Tunisie] ; Leila Bouabid [Tunisie] ; Souha Bougatef [Tunisie] ; Nissaf Bouafif Ép Ben-Alaya [Tunisie] ; Mohamed Kouni Chahed [Tunisie] | Estimating transmission dynamics and serial interval of the first wave of COVID-19 infections under different control measures: a statistical analysis in Tunisia from February 29 to May 5, 2020. |
000966 (2020) |
Jonathan Caulkins [États-Unis] ; Dieter Grass [Autriche] ; Gustav Feichtinger [Autriche] ; Richard Hartl [Autriche] ; Peter M. Kort [Pays-Bas, Belgique] ; Alexia Prskawetz [Autriche] ; Andrea Seidl [Autriche] ; Stefan Wrzaczek [Autriche] | How long should the COVID-19 lockdown continue? |
000A65 (2020) |
Julia Shen [États-Unis] | A recursive bifurcation model for early forecasting of COVID-19 virus spread in South Korea and Germany. |
000B23 (2020) |
Haonan Chen [République populaire de Chine] ; Jing He [République populaire de Chine] ; Wenhui Song [République populaire de Chine] ; Lianchao Wang [République populaire de Chine] ; Jiabao Wang [République populaire de Chine] ; Yijin Chen [République populaire de Chine] | Modeling and interpreting the COVID-19 intervention strategy of China: A human mobility view. |
000C47 (2020) |
Alvina G. Lai [Royaume-Uni] ; Laura Pasea [Royaume-Uni] ; Amitava Banerjee [Royaume-Uni] ; Geoff Hall [Royaume-Uni] ; Spiros Denaxas [Royaume-Uni] ; Wai Hoong Chang [Royaume-Uni] ; Michail Katsoulis [Royaume-Uni] ; Bryan Williams [Royaume-Uni] ; Deenan Pillay [Royaume-Uni] ; Mahdad Noursadeghi [Royaume-Uni] ; David Linch [Royaume-Uni] ; Derralynn Hughes [Royaume-Uni] ; Martin D. Forster [Royaume-Uni] ; Clare Turnbull [Royaume-Uni] ; Natalie K. Fitzpatrick [Royaume-Uni] ; Kathryn Boyd [Royaume-Uni] ; Graham R. Foster [Royaume-Uni] ; Tariq Enver [Royaume-Uni] ; Vahe Nafilyan [Royaume-Uni] ; Ben Humberstone [Royaume-Uni] ; Richard D. Neal [Royaume-Uni] ; Matt Cooper [Royaume-Uni] ; Monica Jones [Royaume-Uni] ; Kathy Pritchard-Jones [Royaume-Uni] ; Richard Sullivan [Royaume-Uni] ; Charlie Davie [Royaume-Uni] ; Mark Lawler [Royaume-Uni] ; Harry Hemingway [Royaume-Uni] | Estimated impact of the COVID-19 pandemic on cancer services and excess 1-year mortality in people with cancer and multimorbidity: near real-time data on cancer care, cancer deaths and a population-based cohort study. |
000D35 (2020) |
Yuliya N. Kyrychko [Royaume-Uni] ; Konstantin B. Blyuss [Royaume-Uni] ; Igor Brovchenko [Ukraine] | Mathematical modelling of the dynamics and containment of COVID-19 in Ukraine. |
000E84 (2020) |
Soo Beom Choi [Corée du Sud] ; Insung Ahn [Corée du Sud] | Forecasting imported COVID-19 cases in South Korea using mobile roaming data. |
000F73 (2020) |
Lucia Russo [Italie] ; Cleo Anastassopoulou [Grèce] ; Athanasios Tsakris [Grèce] ; Gennaro Nicola Bifulco [Italie] ; Emilio Fortunato Campana [Italie] ; Gerardo Toraldo [Italie] ; Constantinos Siettos [Italie] | Tracing day-zero and forecasting the COVID-19 outbreak in Lombardy, Italy: A compartmental modelling and numerical optimization approach. |
001033 (2020) |
Urvish Patel [États-Unis] ; Preeti Malik [États-Unis] ; Deep Mehta [États-Unis] ; Dhaivat Shah [États-Unis] ; Raveena Kelkar [États-Unis] ; Candida Pinto [États-Unis] ; Maria Suprun [États-Unis] ; Mandip Dhamoon [États-Unis] ; Nils Hennig [États-Unis] ; Henry Sacks [États-Unis] | Early epidemiological indicators, outcomes, and interventions of COVID-19 pandemic: A systematic review. |
001091 (2020) |
Bosiljka Tadi [Slovénie, Autriche] ; Roderick Melnik [Canada, Espagne] | Modeling latent infection transmissions through biosocial stochastic dynamics. |
001222 (2021) |
Haruhiko Inada [Japon] ; Lamisa Ashraf [États-Unis] ; Sachalee Campbell [États-Unis] | COVID-19 lockdown and fatal motor vehicle collisions due to speed-related traffic violations in Japan: a time-series study. |
001260 (2020) |
Andrew Mcmahon [Royaume-Uni] ; Nicole C. Robb [Royaume-Uni] | Reinfection with SARS-CoV-2: Discrete SIR (Susceptible, Infected, Recovered) Modeling Using Empirical Infection Data. |
001331 (2020) |
Jing Ge [République populaire de Chine] ; Daihai He [République populaire de Chine] ; Zhigui Lin [République populaire de Chine] ; Huaiping Zhu [Canada] ; Zian Zhuang [République populaire de Chine] | Four-tier response system and spatial propagation of COVID-19 in China by a network model. |
001543 (2020) |
David H. Glass [Royaume-Uni] | European and US lockdowns and second waves during the COVID-19 pandemic. |
001687 (2020) |
Pei-Yu Liu [République populaire de Chine] ; Sha He [République populaire de Chine] ; Li-Bin Rong [États-Unis] ; San-Yi Tang [République populaire de Chine] | The effect of control measures on COVID-19 transmission in Italy: Comparison with Guangdong province in China. |
001831 (2020) |
Y A Khan [Pakistan] ; S Z Abbas [Pakistan] ; Buu-Chau Truong [Viêt Nam] | Machine learning-based mortality rate prediction using optimized hyper-parameter. |
001835 (2020) |
Vadim A. Karatayev [Canada] ; Madhur Anand [Canada] ; Chris T. Bauch [Canada] | Local lockdowns outperform global lockdown on the far side of the COVID-19 epidemic curve. |
001A05 (2020) |
Stefan Thurner [Autriche, États-Unis] ; Peter Klimek [Autriche] ; Rudolf Hanel [Autriche] | A network-based explanation of why most COVID-19 infection curves are linear. |
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