Literature DB >> 32087114

An interactive web-based dashboard to track COVID-19 in real time.

Ensheng Dong1, Hongru Du1, Lauren Gardner2.   

Abstract

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Mesh:

Year:  2020        PMID: 32087114      PMCID: PMC7159018          DOI: 10.1016/S1473-3099(20)30120-1

Source DB:  PubMed          Journal:  Lancet Infect Dis        ISSN: 1473-3099            Impact factor:   25.071


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In December, 2019, a local outbreak of pneumonia of initially unknown cause was detected in Wuhan (Hubei, China), and was quickly determined to be caused by a novel coronavirus, namely severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The outbreak has since spread to every province of mainland China as well as 27 other countries and regions, with more than 70 000 confirmed cases as of Feb 17, 2020. In response to this ongoing public health emergency, we developed an online interactive dashboard, hosted by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University, Baltimore, MD, USA, to visualise and track reported cases of coronavirus disease 2019 (COVID-19) in real time. The dashboard, first shared publicly on Jan 22, illustrates the location and number of confirmed COVID-19 cases, deaths, and recoveries for all affected countries. It was developed to provide researchers, public health authorities, and the general public with a user-friendly tool to track the outbreak as it unfolds. All data collected and displayed are made freely available, initially through Google Sheets and now through a GitHub repository, along with the feature layers of the dashboard, which are now included in the Esri Living Atlas. The dashboard reports cases at the province level in China; at the city level in the USA, Australia, and Canada; and at the country level otherwise. During Jan 22–31, all data collection and processing were done manually, and updates were typically done twice a day, morning and night (US Eastern Time). As the outbreak evolved, the manual reporting process became unsustainable; therefore, on Feb 1, we adopted a semi-automated living data stream strategy. Our primary data source is DXY, an online platform run by members of the Chinese medical community, which aggregates local media and government reports to provide cumulative totals of COVID-19 cases in near real time at the province level in China and at the country level otherwise. Every 15 min, the cumulative case counts are updated from DXY for all provinces in China and for other affected countries and regions. For countries and regions outside mainland China (including Hong Kong, Macau, and Taiwan), we found DXY cumulative case counts to frequently lag behind other sources; we therefore manually update these case numbers throughout the day when new cases are identified. To identify new cases, we monitor various Twitter feeds, online news services, and direct communication sent through the dashboard. Before manually updating the dashboard, we confirm the case numbers with regional and local health departments, including the respective centres for disease control and prevention (CDC) of China, Taiwan, and Europe, the Hong Kong Department of Health, the Macau Government, and WHO, as well as city-level and state-level health authorities. For city-level case reports in the USA, Australia, and Canada, which we began reporting on Feb 1, we rely on the US CDC, the government of Canada, the Australian Government Department of Health, and various state or territory health authorities. All manual updates (for countries and regions outside mainland China) are coordinated by a team at Johns Hopkins University. The case data reported on the dashboard aligns with the daily Chinese CDC and WHO situation reports for within and outside of mainland China, respectively (figure ). Furthermore, the dashboard is particularly effective at capturing the timing of the first reported case of COVID-19 in new countries or regions (appendix). With the exception of Australia, Hong Kong, and Italy, the CSSE at Johns Hopkins University has reported newly infected countries ahead of WHO, with Hong Kong and Italy reported within hours of the corresponding WHO situation report.
Figure

Comparison of COVID-19 case reporting from different sources

Daily cumulative case numbers (starting Jan 22, 2020) reported by the Johns Hopkins University Center for Systems Science and Engineering (CSSE), WHO situation reports, and the Chinese Center for Disease Control and Prevention (Chinese CDC) for within (A) and outside (B) mainland China.

Comparison of COVID-19 case reporting from different sources Daily cumulative case numbers (starting Jan 22, 2020) reported by the Johns Hopkins University Center for Systems Science and Engineering (CSSE), WHO situation reports, and the Chinese Center for Disease Control and Prevention (Chinese CDC) for within (A) and outside (B) mainland China. Given the popularity and impact of the dashboard to date, we plan to continue hosting and managing the tool throughout the entirety of the COVID-19 outbreak and to build out its capabilities to establish a standing tool to monitor and report on future outbreaks. We believe our efforts are crucial to help inform modelling efforts and control measures during the earliest stages of the outbreak. This online publication has been corrected. The corrected version first appeared at thelancet.com/infection on June 12, 2020
  2000 in total

1.  Countries with High Registered Nurse (RN) Concentrations Observe Reduced Mortality Rates of Coronavirus Disease 2019 (COVID-19).

Authors:  William V Padula; Patricia Davidson
Journal:  SSRN       Date:  2020-04-09

2.  Predictions, role of interventions and effects of a historic national lockdown in India's response to the COVID-19 pandemic: data science call to arms.

Authors:  Debashree Ray; Maxwell Salvatore; Rupam Bhattacharyya; Lili Wang; Jiacong Du; Shariq Mohammed; Soumik Purkayastha; Aritra Halder; Alexander Rix; Daniel Barker; Michael Kleinsasser; Yiwang Zhou; Debraj Bose; Peter Song; Mousumi Banerjee; Veerabhadran Baladandayuthapani; Parikshit Ghosh; Bhramar Mukherjee
Journal:  Harv Data Sci Rev       Date:  2020-06-09

3.  A randomized double-blind controlled trial of convalescent plasma in adults with severe COVID-19.

Authors:  Max R O'Donnell; Beatriz Grinsztejn; Matthew J Cummings; Jessica E Justman; Matthew R Lamb; Christina M Eckhardt; Neena M Philip; Ying Kuen Cheung; Vinay Gupta; Esau João; Jose Henrique Pilotto; Maria Pia Diniz; Sandra Wagner Cardoso; Darryl Abrams; Kartik N Rajagopalan; Sarah E Borden; Allison Wolf; Leon Claude Sidi; Alexandre Vizzoni; Valdilea G Veloso; Zachary C Bitan; Dawn E Scotto; Benjamin J Meyer; Samuel D Jacobson; Alex Kantor; Nischay Mishra; Lokendra V Chauhan; Elizabeth F Stone; Flavia Dei Zotti; Francesca La Carpia; Krystalyn E Hudson; Stephen A Ferrara; Joseph Schwartz; Brie A Stotler; Wen-Hsuan W Lin; Sandeep N Wontakal; Beth Shaz; Thomas Briese; Eldad A Hod; Steven L Spitalnik; Andrew Eisenberger; Walter I Lipkin
Journal:  J Clin Invest       Date:  2021-07-01       Impact factor: 14.808

4.  Coronavirus (COVID-19) Pandemic and Radical Cystectomy.

Authors:  Senol Adanur; Salih Al; Ozkan Polat
Journal:  Eurasian J Med       Date:  2020-06

5.  COVID-19 in Immunocompromised Hosts: What We Know So Far.

Authors:  Monica Fung; Jennifer M Babik
Journal:  Clin Infect Dis       Date:  2020-06-27       Impact factor: 9.079

6.  Incoming International Medical Graduates and the COVID-19 Pandemic: More Than Meets the Eye.

Authors:  Mohamed B Elshazly; Menatalla Mekhaimar; Thurayya Arayssi
Journal:  J Grad Med Educ       Date:  2020-06

7.  Hitting the diagnostic sweet spot: Point-of-care SARS-CoV-2 salivary antigen testing with an off-the-shelf glucometer.

Authors:  Naveen K Singh; Partha Ray; Aaron F Carlin; Celestine Magallanes; Sydney C Morgan; Louise C Laurent; Eliah S Aronoff-Spencer; Drew A Hall
Journal:  Biosens Bioelectron       Date:  2021-02-26       Impact factor: 10.618

8.  Numerical differentiation of noisy data: A unifying multi-objective optimization framework.

Authors:  Floris van Breugel; J Nathan Kutz; Bingni W Brunton
Journal:  IEEE Access       Date:  2020-10-27       Impact factor: 3.367

9.  CoV-Seq, a New Tool for SARS-CoV-2 Genome Analysis and Visualization: Development and Usability Study.

Authors:  Boxiang Liu; Kaibo Liu; He Zhang; Liang Zhang; Yuchen Bian; Liang Huang
Journal:  J Med Internet Res       Date:  2020-10-02       Impact factor: 5.428

Review 10.  SARS-CoV-2 and nervous system: From pathogenesis to clinical manifestation.

Authors:  Kiandokht Keyhanian; Raffaella Pizzolato Umeton; Babak Mohit; Vahid Davoudi; Fatemeh Hajighasemi; Mehdi Ghasemi
Journal:  J Neuroimmunol       Date:  2020-11-07       Impact factor: 3.478

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