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Modelling daily infections with Covid-19 in Germany, France, and Sweden with a trend line based on day-to-day reproduction rates

机译：在德国，法国和瑞典与潮流率为趋势线的日常感染与基于日常生制率的趋势线

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Dieter Mergel;
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年度 2020
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2. A Modeling Study on the Estimation of COVID-19 Daily and Weekly Cases and Reproduction Number Using the Adaptive Kalman Filter: The Example of Ziraat Bank, Turkey [J] . ?lker Met, Levent ?zbek, Himmet Aksoy, Journal of Statistical and Econometric Methods . 2021,第3期

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4. Estimation of the Unreported Infections of COVID-19 based on an Extended Stochastic Susceptible-Exposed-Infective-Recovered Model [C] . Lingyun Zhu, Wei Dong, Qing Sun, IEEE Data Driven Control and Learning Systems Conference . 2021

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5. Official development assistance unmasked: Theoretical models of international relations and the determinants of American, German, and Swedish aid. [D] . DeWaard, Chad. 2006

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6. Modelling the initial epidemic trends of COVID-19 in Italy Spain Germany and France [O] . Kai Wang, Lin Ding, Yu Yan, 2020

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7. Figure 3: Relative growth rate of drug-resistant M. genitalium infections as a function of the proportion of resistant infections. Lines show growth rates for the best fit models for France, Denmark and Sweden, assuming a probability of de novo resistance during treatment of µ= 12. [O] . -1

机译：图3：耐药M.耐药性的相对生长速率作为抗性感染比例的函数。线条为法国，丹麦和瑞典的最佳拟合模型提供增长率，假设在μ= 12％的治疗过程中缺乏Novo抗性的可能性。

Modelling daily infections with Covid-19 in Germany, France, and Sweden with a trend line based on day-to-day reproduction rates

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