Evidence map›Paper›PMID 33633250›Full record

ArticleScientific reports2021

A syndromic surveillance tool to detect anomalous clusters of COVID-19 symptoms in the United States.

Amparo Güemes, Soumyajit Ray, Khaled Aboumerhi, Michael R Desjardins, Anton Kvit, Anne E Corrigan, Brendan Fries, Timothy Shields, Robert D Stevens, Frank C Curriero and 1 more

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PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

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  19. Critical timing and extent of public health interventions to control outbreaks dominated by SARS-CoV-2 variants in Australia: a mathematical modelling study.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
    Article
  20. Global monitoring of the impact of the COVID-19 pandemic through online surveys sampled from the Facebook user base.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Amparo Güemes *Department of Electrical and Computer Engineering, Johns Hopkins Whiting School of Engineering, The Johns Hopkins University, 3400 N. Charles Street, 105 Barton Hall, Baltimore, MD, 21218, USA. aguemes1@jhu.edu.
Soumyajit Ray *Department of Electrical and Computer Engineering, Johns Hopkins Whiting School of Engineering, The Johns Hopkins University, 3400 N. Charles Street, 105 Barton Hall, Baltimore, MD, 21218, USA.
Khaled Aboumerhi *Department of Electrical and Computer Engineering, Johns Hopkins Whiting School of Engineering, The Johns Hopkins University, 3400 N. Charles Street, 105 Barton Hall, Baltimore, MD, 21218, USA.
Michael R Desjardins *Department of Epidemiology, Spatial Science for Public Health Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA.
Anton KvitDepartment of Epidemiology, Spatial Science for Public Health Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA.
Anne E CorriganDepartment of Epidemiology, Spatial Science for Public Health Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA.
Brendan FriesDepartment of Epidemiology, Spatial Science for Public Health Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA.
Timothy ShieldsDepartment of Epidemiology, Spatial Science for Public Health Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA.
Robert D StevensDepartment of Anesthesiology and Critical Care Medicine, Neurology, Neurosurgery and Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
Frank C CurrieroDepartment of Epidemiology, Spatial Science for Public Health Center, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA.
Ralph Etienne-CummingsDepartment of Electrical and Computer Engineering, Johns Hopkins Whiting School of Engineering, The Johns Hopkins University, 3400 N. Charles Street, 105 Barton Hall, Baltimore, MD, 21218, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus SARS-COV-2 infections continue to spread across the world, yet effective large-scale disease detection and prediction remain limited. COVID Control: A Johns Hopkins University Study, is a novel syndromic surveillance approach, which collects body temperature and COVID-like illness (CLI) symptoms across the US using a smartphone app and applies spatio-temporal clustering techniques and cross-correlation analysis to create maps of abnormal symptomatology incidence that are made publicly available. The results of the cross-correlation analysis identify optimal temporal lags between symptoms and a range of COVID-19 outcomes, with new taste/smell loss showing the highest correlations. We also identified temporal clusters of change in taste/smell entries and confirmed COVID-19 incidence in Baltimore City and County. Further, we utilized an extended simulated dataset to showcase our analytics in Maryland. The resulting clusters can serve as indicators of emerging COVID-19 outbreaks, and support syndromic surveillance as an early warning system for disease prevention and control.

Indexed as

Mobile ApplicationsSentinel SurveillanceAdolescentAdultAgedAged, 80 and overAgeusiaAnosmiaBody TemperatureCluster AnalysisCOVID-19FemaleHumansMaleMiddle AgedSARS-CoV-2

Identifiers

PMID33633250
PMCPMC7907397

What OpenQuestion holds

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Registered trials

None linked

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.