日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Physics-informed deep learning for infectious disease forecasting

基于物理学的深度学习在传染病预测中的应用

Qian, Ying; Zhang, Kui; Marty, Eric; Basu, Avranil; O'Dea, Eamon B; Wang, Xianqiao; Fox, Spencer J; Rohani, Pejman; Drake, John M; Li, He

Challenges of COVID-19 Case Forecasting in the US, 2020-2021

2020-2021年美国新冠肺炎病例预测面临的挑战

Lopez, Velma K; Cramer, Estee Y; Pagano, Robert; Drake, John M; O'Dea, Eamon B; Adee, Madeline; Ayer, Turgay; Chhatwal, Jagpreet; Dalgic, Ozden O; Ladd, Mary A; Linas, Benjamin P; Mueller, Peter P; Xiao, Jade; Bracher, Johannes; Castro Rivadeneira, Alvaro J; Gerding, Aaron; Gneiting, Tilmann; Huang, Yuxin; Jayawardena, Dasuni; Kanji, Abdul H; Le, Khoa; Mühlemann, Anja; Niemi, Jarad; Ray, Evan L; Stark, Ariane; Wang, Yijin; Wattanachit, Nutcha; Zorn, Martha W; Pei, Sen; Shaman, Jeffrey; Yamana, Teresa K; Tarasewicz, Samuel R; Wilson, Daniel J; Baccam, Sid; Gurung, Heidi; Stage, Steve; Suchoski, Brad; Gao, Lei; Gu, Zhiling; Kim, Myungjin; Li, Xinyi; Wang, Guannan; Wang, Lily; Wang, Yueying; Yu, Shan; Gardner, Lauren; Jindal, Sonia; Marshall, Maximilian; Nixon, Kristen; Dent, Juan; Hill, Alison L; Kaminsky, Joshua; Lee, Elizabeth C; Lemaitre, Joseph C; Lessler, Justin; Smith, Claire P; Truelove, Shaun; Kinsey, Matt; Mullany, Luke C; Rainwater-Lovett, Kaitlin; Shin, Lauren; Tallaksen, Katharine; Wilson, Shelby; Karlen, Dean; Castro, Lauren; Fairchild, Geoffrey; Michaud, Isaac; Osthus, Dave; Bian, Jiang; Cao, Wei; Gao, Zhifeng; Lavista Ferres, Juan; Li, Chaozhuo; Liu, Tie-Yan; Xie, Xing; Zhang, Shun; Zheng, Shun; Chinazzi, Matteo; Davis, Jessica T; Mu, Kunpeng; Pastore Y Piontti, Ana; Vespignani, Alessandro; Xiong, Xinyue; Walraven, Robert; Chen, Jinghui; Gu, Quanquan; Wang, Lingxiao; Xu, Pan; Zhang, Weitong; Zou, Difan; Gibson, Graham Casey; Sheldon, Daniel; Srivastava, Ajitesh; Adiga, Aniruddha; Hurt, Benjamin; Kaur, Gursharn; Lewis, Bryan; Marathe, Madhav; Peddireddy, Akhil Sai; Porebski, Przemyslaw; Venkatramanan, Srinivasan; Wang, Lijing; Prasad, Pragati V; Walker, Jo W; Webber, Alexander E; Slayton, Rachel B; Biggerstaff, Matthew; Reich, Nicholas G; Johansson, Michael A

Donor Limb Functional Restoration via a Novel Clinical Care Pathway following Fibula Free Flap Harvest for Head and Neck Reconstruction

通过新型临床护理路径恢复腓骨游离皮瓣移植术后供肢功能,用于头颈部重建

Halfpap, Joshua P; Hammer, Daniel A; Kingsbury, Trevor D; Ortiz-Pomales, Yan T; O'Reilly, Eamon B; Pontillo, Marisa

A data-driven semi-parametric model of SARS-CoV-2 transmission in the United States

基于数据的半参数化SARS-CoV-2在美国的传播模型

Drake, John M; Handel, Andreas; Marty, Éric; O'Dea, Eamon B; O'Sullivan, Tierney; Righi, Giovanni; Tredennick, Andrew T

A semi-parametric, state-space compartmental model with time-dependent parameters for forecasting COVID-19 cases, hospitalizations and deaths

一种具有时变参数的半参数状态空间隔室模型,用于预测 COVID-19 病例、住院和死亡人数

O'Dea, Eamon B; Drake, John M

Anticipating infectious disease re-emergence and elimination: a test of early warning signals using empirically based models

预测传染病再次出现和消除:利用基于经验的模型检验早期预警信号

Tredennick, Andrew T; O'Dea, Eamon B; Ferrari, Matthew J; Park, Andrew W; Rohani, Pejman; Drake, John M

Transient indicators of tipping points in infectious diseases

传染病临界点的瞬态指标

O'Regan, Suzanne M; O'Dea, Eamon B; Rohani, Pejman; Drake, John M

Disentangling reporting and disease transmission

理清报告和疾病传播之间的关系

O'Dea, Eamon B; Drake, John M

Anticipating epidemic transitions with imperfect data

利用不完善的数据预测疫情转变

Brett, Tobias S; O'Dea, Eamon B; Marty, Éric; Miller, Paige B; Park, Andrew W; Drake, John M; Rohani, Pejman

Estimating the distance to an epidemic threshold

估算与流行病阈值的距离

O'Dea, Eamon B; Park, Andrew W; Drake, John M