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An integrated framework for building trustworthy data-driven epidemiological models: Application to the COVID-19 outbreak in New York City

机译：建立值得信赖的数据驱动流行病学模型的综合框架：在纽约市的Covid-19爆发中的应用

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Sheng Zhang; Joan Ponce; Zhen Zhang; Guang Lin; George Karniadakis;
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1. An integrated framework for building trustworthy data-driven epidemiological models: Application to the COVID-19 outbreak in New York City [J] . Sheng Zhang, Joan Ponce, Zhen Zhang, PLoS Computational Biology . 2021,第9期

机译：建立值得信赖的数据驱动流行病学模型的综合框架：在纽约市的Covid-19爆发中的应用
2. Epidemiological and Genomic Analysis of SARS-CoV-2 in 10 Patients From a Mid-Sized City Outside of Hubei, China in the Early Phase of the COVID-19 Outbreak [J] . Jinkun Chen, Jialiang Tang, Shangxin Yang, Frontiers in Public Health . 2020,第a期

机译：中国湖北省湖北省湖北省中型中小型城市患者SARS-COV-2的流行病学和基因组分析在Covid-19爆发的早期阶段
3. Epidemiological and Genomic Analysis of SARS-CoV-2 in 10 Patients From a Mid-Sized City Outside of Hubei, China in the Early Phase of the COVID-19 Outbreak [J] . Chen Jinkun, Hilt Evann E., Li Fan, Frontiers in Public Health . 2020,第2期

机译：中国湖北省湖北省中型城市中的10名患者SARS-COV-2的流行病学和基因组分析在Covid-19爆发的早期阶段
4. Prediction and forecast for COVID-19 Outbreak in India based on Enhanced Epidemiological Models [C] . Siddharth Singh, Piyush Raj, Raman Kumar, International Conference on Inventive Research in Computing Applications . 2020

机译：基于增强流行病学模型的印度COVID-19暴发的预测和预报
5. Exploring New York City School Gardens: The Development of the School Garden Integration Framework and Strategies of Operationalization by Well-Integrated Gardens Using a Sequential, Transformative Mixed Methods Approach [D] . Gardner, Katherine 2015

机译：探索纽约市的学校花园：采用顺序，转换混合方法的学校花园整合框架的发展和良好整合的花园的运营策略
6. Assessment of the outbreak risk mapping and infection behavior of COVID-19: Application of the autoregressive integrated-moving average (ARIMA) and polynomial models [O] . Hamid Reza Pourghasemi, Soheila Pouyan, Zakariya Farajzadeh, 2020

机译：Covid-19的爆发风险映射和感染行为的评估：对自动增加综合运动平均（ARIMA）和多项式模型的应用
7. Assessment of the outbreak risk, mapping and infection behavior of COVID-19: Application of the autoregressive integrated-moving average (ARIMA) and polynomial models [O] . -1

机译：Covid-19的爆发风险，映射和感染行为的评估：对自动增加综合运动平均（ARIMA）和多项式模型的应用

An integrated framework for building trustworthy data-driven epidemiological models: Application to the COVID-19 outbreak in New York City

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