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A Spatiotemporal Epidemiological Prediction Model to Inform County-Level COVID-19 Risk in the United States

机译：一种时尚流行病学预测模型，以通知美国县级Covid-19风险

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Yiwang Zhou; Lili Wang; Leyao Zhang; Lan Shi; Kangping Yang; Jie He; Bangyao Zhao; William Overton; Soumik Purkayastha; Peter Song;
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1. Estimated County-Level Prevalence of Selected Underlying Medical Conditions Associated with Increased Risk for Severe COVID-19 Illness — United States, 2018 [J] . Hilda Razzaghi, Yan Wang, Hua Lu, Morbidity and Mortality Weekly Report: CDC Surveillance Summaries . 2020,第29期

机译：估计与严重Covid-19疾病风险增加相关的潜在潜在医疗病症的县级患病率 - 美国，2018年
2. Ten Epidemiological Parameters of COVID-19: Use of Rapid Literature Review to Inform Predictive Models During the Pandemic [J] . Luciana Guerra Gallo, Henry Maia Peixoto, Ana Flávia de Morais Oliveira, Frontiers in Public Health . 2020,第a期

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3. Ten Epidemiological Parameters of COVID-19: Use of Rapid Literature Review to Inform Predictive Models During the Pandemic [J] . Gallo Luciana Guerra, Oliveira Ana Flvia de Morais, Abraho Amanda Amaral, Frontiers in Public Health . 2020,第2期

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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

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5. A Resource-efficient Model for Presentation and Evaluation of COVID-19 Epidemiological Data for County Public Health Departments [D] . Meller, Daniel Jacob. 2020

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6. Estimated County-Level Prevalence of Selected Underlying Medical Conditions Associated with Increased Risk for Severe COVID-19 Illness — United States 2018 [O] . Hilda Razzaghi, Yan Wang, Hua Lu, 2020

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A Spatiotemporal Epidemiological Prediction Model to Inform County-Level COVID-19 Risk in the United States

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