论文标题
逻辑增长模型和社区案例传播因素的建模
Logistic growth model and modeling of factors for community case transmission
论文作者
论文摘要
在本文中，我们分析了Covid-19在塞内加尔的社区传播导致的案件的传播，以确定统计关联。与此社区传播相关的因素的识别和知识可以是限制疾病传播的决策支持工具。我们估计参数并评估增长因素，社区率，每周增加和每日差异，并进行预测，以帮助如何找到具体的措施来控制这种情况。
In this article, we analyze the spread of cases resulting from community transmission of COVID-19 in Senegal in order to identify statistical associations. The identification and knowledge of the factors associated with this community transmission can be a decision support tool to limit the spread of the disease. We estimate parameters and evaluate the growth factor, community rate, weekly increase and daily difference, and make forecasting to help on how to find concrete actions to control the situation.
