Estimation of reproduction numbers of COVID-19 in typical countries and epidemic trends under different prevention and control scenarios
| Autor: | Tian Shen, Gang Xu, Xiaoyue Yu, Yinqiao Dong, Yong Cai, Suping Wang, Zezhou Wang, Xinxin Zhang, Rusi Long, Huwen Wang, Yuelin Yu, Ruijie Chang, Ying Wang, Shuxian Zhang, Hui Wang, Lhakpa Tsamlag, Chen Xu |
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| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
Latin Americans Yield (finance) Pneumonia Viral Basic Reproduction Number Developing country Global Health SEIR model estimate Betacoronavirus 03 medical and health sciences 0302 clinical medicine Development economics Pandemic Disease Transmission Infectious Humans 030212 general & internal medicine Pandemics Estimation Likelihood Functions SARS-CoV-2 reproduction number COVID-19 Outbreak Bayes Theorem General Medicine Models Theoretical 030104 developmental biology Geography Communicable Disease Control Spite Risk Adjustment Coronavirus Infections Basic reproduction number Research Article Forecasting |
| Zdroj: | Frontiers of Medicine |
| ISSN: | 2095-0225 2095-0217 |
| DOI: | 10.1007/s11684-020-0787-4 |
| Popis: | The coronavirus disease 2019 (COVID-19) has become a life-threatening pandemic. The epidemic trends in different countries vary considerably due to different policy-making and resources mobilization. We calculated basic reproduction number (R0) and the time-varying estimate of the effective reproductive number (Rt) of COVID-19 by using the maximum likelihood method and the sequential Bayesian method, respectively. European and North American countries possessed higher R0 and unsteady Rt fluctuations, whereas some heavily affected Asian countries showed relatively low R0 and declining Rt now. The numbers of patients in Africa and Latin America are still low, but the potential risk of huge outbreaks cannot be ignored. Three scenarios were then simulated, generating distinct outcomes by using SEIR (susceptible, exposed, infectious, and removed) model. First, evidence-based prompt responses yield lower transmission rate followed by decreasing Rt. Second, implementation of effective control policies at a relatively late stage, in spite of huge casualties at early phase, can still achieve containment and mitigation. Third, wisely taking advantage of the time-window for developing countries in Africa and Latin America to adopt adequate measures can save more people’s life. Our mathematical modeling provides evidence for international communities to develop sound design of containment and mitigation policies for COVID-19. Electronic Supplementary Material Supplementary material is available in the online version of this article at 10.1007/s11684-020-0787-4 and is accessible for authorized users. |
| Databáze: | OpenAIRE |
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