TY -的A2 Kharat阿伦•s . AU - Devkota Jyoti美国PY - 2021 DA - 2021/01/29 COVID-19 TI -多变量分析的有限和稀缺的国家数据:例子从尼泊尔SP - 8813505六世- 2021 AB -本文旨在了解的传播的动力学COVID-19尼泊尔。它的帮助下进行多变量统计技术。直接变量之间的关系是显而易见的,因为他们很容易看到和测量。但是,隐藏变量及其相互关系也有重要影响的传播流行。多项逻辑回归,优势比线性混合效应模型,并使用主成分分析来分析这些隐变量及其相互关系。同时,这样的研究是非常重要的国家有限和稀缺的数据。这些国家没有高质量的官方记录的支柱。了解疾病在发展中国家的传播也有助于管理和根除的疾病。多元日报数据的新病例,死亡,恢复,总病例,死亡人数,总恢复,和总感染(孤立)使用。《每日新病例的发生率也使用非线性回归建模在这里。 Two best nonlinear models are discussed here. ARIMA models are used for analyzing and forecasting the progression of the variables for two months into the future. The impact of government restriction in the form of strict lockdown 1, partially relaxed lockdown 1, completely relaxed lockdown 1, and strict lockdown 2 is minutely analyzed. These controls were exercised to curtail the spread of the pandemic. The role of these controls in curbing the spread of the pandemic is also studied here. The results obtained from this study can be applied to other countries of South Asia and Africa. SN - 1687-9805 UR - https://doi.org/10.1155/2021/8813505 DO - 10.1155/2021/8813505 JF - Journal of Environmental and Public Health PB - Hindawi KW - ER -