|
[1]
|
World Health Organization. Coronavirus disease (COVID-19) weekly epidemiological update and weekly operational update. 2021. https:www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports/. [2021-4-10].https:www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports/ |
|
[2]
|
Saad-Roy CM, Wagner CE, Baker RE, Morris SE, Farrar J, Graham AL, et al. Immune life history, vaccination, and the dynamics of SARS-CoV-2 over the next 5 years. Science 2020; 370(6518): 811-8. http://dx. doi.org/10.1126/science.abd7343.CrossRef
|
|
[3]
|
Cobey S. Modeling infectious disease dynamics. Science 2020; 368(6492): 713-4. http://dx.doi.org/10.1126/science.abb5659CrossRef
|
|
[4]
|
Pei S, Kandula S, Shaman J. Differential effects of intervention timing on COVID-19 spread in the United States. Sci Adv 2020; 6(49): eabd6370. http://dx.doi.org/10.1126/SCIADV.ABD6370CrossRef
|
|
[5]
|
Davies NG, Abbott S, Barnard RC, Jarvis CI, Kucharski AJ, Munday JD, et al. Estimated transmissibility and impact of SARS-CoV-2 lineage B.1.1.7 in England. Science 2021; 372(6538): eabg3055. http://dx.doi.org/10.1126/science.abg3055CrossRef
|
|
[6]
|
Lai SJ, Ruktanonchai NW, Zhou LC, Prosper O, Luo W, Floyd JR, et al. Effect of non-pharmaceutical interventions to contain COVID-19 in China. Nature 2020; 585(7825): 410-3. http://dx.doi.org/10.1038/s41586-020-2293-xCrossRef
|
|
[7]
|
Flaxman S, Mishra S, Gandy A, Unwin HJT, Mellan TA, Coupland H, et al. Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe. Nature 2020; 584(7820): 257-61. http://dx.doi.org/10.1038/s41586-020-2405-7CrossRef
|
|
[8]
|
Soltesz K, Gustafsson F, Timpka T, Jaldén J, Jidling C, Heimerson A, et al. The effect of interventions on COVID-19. Nature 2020; 588(7839): E26-28. http://dx.doi.org/10.1038/s41586-020-3025-yCrossRef
|
|
[9]
|
Hsiang S, Allen D, Annan-Phan S, Bell K, Bolliger I, Chong T, et al. The effect of large-scale anti-contagion policies on the COVID-19 pandemic. Nature 2020; 584(7820): 262-7. http://dx.doi.org/10.1038/s41586-020-2404-8CrossRef
|
|
[10]
|
Mathieu E, Ritchie H, Roser M. Our World in Data is now tracking Coronavirus (COVID-19) vaccinations across the world. 2021. https://ourworldindata.org/covid-vaccination-dataset. [2021-4-10].https://ourworldindata.org/covid-vaccination-dataset |
|
[11]
|
Pollán M, Pérez-Gómez B, Pastor-Barriuso R, Oteo J, Hernán MA, Pérez-Olmeda M, et al. Prevalence of SARS-CoV-2 in Spain (ENE-COVID): a nationwide, population-based seroepidemiological study. Lancet 2020; 396(10250): 535-44. http://dx.doi.org/10.1016/S0140-6736(20)31483-5CrossRef
|
|
[12]
|
Chang S, Pierson E, Koh PW, Gerardin J, Redbird B, Grusky D, et al. Mobility network models of COVID-19 explain inequities and inform reopening. Nature 2021; 589(7840): 82-7. http://dx.doi.org/10.1038/s41586-020-2923-3CrossRef
|
|
[13]
|
Kraemer MUG, Yang CH, Gutierrez B, Wu CH, Klein B, Pigott DM, et al. The effect of human mobility and control measures on the COVID-19 epidemic in China. Science 2020; 368(6490): 493-7. http://dx.doi.org/10.1126/science.abb4218CrossRef
|
|
[14]
|
Tian HY, Liu YH, Li YD, Wu CH, Chen B, Kraemer MUG, et al. An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in China. Science 2020; 368(6491): 638-42. http://dx.doi.org/10.1126/science.abb6105CrossRef
|
|
[15]
|
Walker PGT, Whittaker C, Watson OJ, Baguelin M, Winskill P, Hamlet A, et al. The impact of COVID-19 and strategies for mitigation and suppression in low- and middle-income countries. Science 2020; 369(6502): 413-22. http://dx.doi.org/10.1126/science.abc0035CrossRef
|
|
[16]
|
Britton T, Ball F, Trapman P. A mathematical model reveals the influence of population heterogeneity on herd immunity to SARS-CoV-2. Science 2020; 369(6505): 846-9. http://dx.doi.org/10.1126/science.abc6810CrossRef
|
|
[17]
|
Lu J. A new, simple projection model for COVID-19 pandemic. medRxiv 2020. http://dx.doi.org/10.1101/2020.03.21.20039867.http://dx.doi.org/10.1101/2020.03.21.20039867 |
|
[18]
|
Sun KY, Wang W, Gao LD, Wang Y, Luo KW, Ren LS, et al. Transmission heterogeneities, kinetics, and controllability of SARS-CoV-2. Science 2021; 371(6526): eabe2424. http://dx.doi.org/10.1126/science.abe2424CrossRef
|
|
[19]
|
Blacatnik School of Government University, University of Oxford. COVID-19 government response tracker. 2021. https://www.bsg.ox.ac.uk/research/research-projects/covid-19-government-response-tracker. [2021-4-10].https://www.bsg.ox.ac.uk/research/research-projects/covid-19-government-response-tracker |
|
[20]
|
Imperial College London. COVID-19 behavior tracker. 2021. https://www.imperial.ac.uk/centre-for-health-policy/our-work/our-response-to-covid-19/covid-19-behaviour-tracker/. [2021-4-10].https://www.imperial.ac.uk/centre-for-health-policy/our-work/our-response-to-covid-19/covid-19-behaviour-tracker/ |