H
Hongru Du
Researcher at Johns Hopkins University
Publications - 8
Citations - 9044
Hongru Du is an academic researcher from Johns Hopkins University. The author has contributed to research in topics: Medicine & Disease. The author has an hindex of 3, co-authored 4 publications receiving 5805 citations.
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Journal ArticleDOI
An interactive web-based dashboard to track COVID-19 in real time.
TL;DR: The outbreak of the 2019 novel coronavirus disease (COVID-19) has induced a considerable degree of fear, emotional stress and anxiety among individuals around the world.
Journal ArticleDOI
Association between mobility patterns and COVID-19 transmission in the USA: a mathematical modelling study.
TL;DR: A role of social distancing as an effective way to mitigate COVID-19 transmission in the USA is strongly supported, and behavioural changes were already underway in many US counties days to weeks before state-level or local-level stay-at-home policies were implemented, implying that individuals anticipated public health directives where social Distancing was adopted.
Journal ArticleDOI
The Johns Hopkins University Center for Systems Science and Engineering COVID-19 Dashboard: data collection process, challenges faced, and lessons learned
Ensheng Dong,Jeremy Ratcliff,Tamara D Goyea,Aaron Katz,Ryan Lau,Timothy Ng,Beatrice Garcia,Evan Bolt,Sarah Prata,David Zhang,R. Murray,Mara Blake,Hongru Du,Fardin Ganjkhanloo,Farzin Ahmadi,Jason B. Williams,Sayeed Z. Choudhury,Lauren Gardner +17 more
TL;DR: The fundamental technical details of the entire data system underlying the COVID-19 Dashboard, including data collection, data fusion logic, data curation and sharing, anomaly detection, data corrections, and the human resources required to support such an effort are revealed.
Posted ContentDOI
Social Distancing is Effective at Mitigating COVID-19 Transmission in the United States
TL;DR: In this paper, a novel metric to represent social distancing behavior derived from mobile phone data, and examine its relationship with COVID-19 case reports at the county level is presented.
Posted ContentDOI
Unified real-time environmental-epidemiological data for multiscale modeling of the COVID-19 pandemic
Hamada S. Badr,Benjamin F. Zaitchik,Gaige Hunter Kerr,Nhat-Lan Nguyen,Yen Ting Chen,Patrick Hinson,Josh M. Colston,Margaret Kosek,Ensheng Dong,Hongru Du,Maximilian Marshall,Kristen Nixon,Arash Mohegh,Daniel L. Goldberg,Susan C. Anenberg,Lauren Gardner +15 more
TL;DR: In this article, a unified dataset that integrates and implements quality checks of the data from numerous leading sources of COVID-19 epidemiological and environmental data is presented, and a globally consistent hierarchy of administrative units is used to facilitate analysis within and across countries.