Evidence map›Paper›PMID 36057267›Full record

ReviewThe Lancet. Infectious diseases2022

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 K Ng, Beatrice Garcia, Evan Bolt, Sarah Prata, David Zhang and 8 more

Erratum issued Registry-linked trialAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in The Lancet. Infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT05947643 (Smell in COVID-19 and Efficacy of Nasal Theophylline 3), which is not on this map. Cited by 660 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
660citing papers in PubMed, 11 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05947643 phase2completednot on this map

Smell in COVID-19 and Efficacy of Nasal Theophylline 3

TypeinterventionalSponsorWashington University School of MedicineRan2022 to 2025Enrolled77ConditionsCOVID-19Armstheophylline, Placebo
3 · Its place in the literature

Who cites it

660 citing papers in PubMed, 11 syntheses or guidelines pooled it.

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  18. Article
  19. Building Public Health Data Dashboards: Tutorial Playbook.JMIR public health and surveillance · 2026
    Article
  20. Toward AI foundation models for epidemics: Promise, challenges, and paths forward.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article

600 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Ensheng DongDepartment of Civil and Systems Engineering, Johns Hopkins University, Baltimore, MD, USA.
Jeremy RatcliffDepartment of Civil and Systems Engineering, Johns Hopkins University, Baltimore, MD, USA; Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA; Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Tamara D GoyeaJohns Hopkins University Applied Physics Laboratory, Laurel, MD, USA.
Aaron KatzJohns Hopkins University Applied Physics Laboratory, Laurel, MD, USA.
Ryan LauJohns Hopkins University Applied Physics Laboratory, Laurel, MD, USA.
Timothy K NgJohns Hopkins University Applied Physics Laboratory, Laurel, MD, USA.
Beatrice GarciaJohns Hopkins University Applied Physics Laboratory, Laurel, MD, USA.
Evan BoltJohns Hopkins University Applied Physics Laboratory, Laurel, MD, USA.
Sarah PrataJohns Hopkins University Applied Physics Laboratory, Laurel, MD, USA.
David ZhangJohns Hopkins University Applied Physics Laboratory, Laurel, MD, USA.
Reina C MurraySheridan Libraries and Museums, Johns Hopkins University, Baltimore, MD, USA.
Mara R BlakeSheridan Libraries and Museums, Johns Hopkins University, Baltimore, MD, USA; University Libraries, North Carolina State University, Raleigh, NC, USA.
Hongru DuDepartment of Civil and Systems Engineering, Johns Hopkins University, Baltimore, MD, USA.
Fardin GanjkhanlooDepartment of Civil and Systems Engineering, Johns Hopkins University, Baltimore, MD, USA.
Farzin AhmadiDepartment of Civil and Systems Engineering, Johns Hopkins University, Baltimore, MD, USA.
Jason WilliamsSheridan Libraries and Museums, Johns Hopkins University, Baltimore, MD, USA.
Sayeed ChoudhurySheridan Libraries and Museums, Johns Hopkins University, Baltimore, MD, USA.
Lauren M GardnerDepartment of Civil and Systems Engineering, Johns Hopkins University, Baltimore, MD, USA. Electronic address: l.gardner@jhu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

On Jan 22, 2020, a day after the USA reported its first COVID-19 case, the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE) launched the first global real-time coronavirus surveillance system: the JHU CSSE COVID-19 Dashboard. As of June 1, 2022, the dashboard has served the global audience for more than 30 consecutive months, totalling over 226 billion feature layer requests and 3·6 billion page views. The highest daily record was set on March 29, 2020, with more than 4·6 billion requests and over 69 million views. This Personal View reveals the fundamental technical details of the entire data system underlying the 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. The Personal View also covers the challenges, ranging from data visualisation to reporting standardisation. The details presented here help develop a framework for future, large-scale public health-related data collection and reporting.

Indexed as

COVID-19Data CollectionHumansPublic HealthUniversities

Identifiers

PMID36057267
PMCPMC9432867

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.