Evidence map›Paper›PMID 26961277›Full record

ArticleBMC emergency medicine2016

Human temperatures for syndromic surveillance in the emergency department: data from the autumn wave of the 2009 swine flu (H1N1) pandemic and a seasonal influenza outbreak.

Samantha F Bordonaro, Daniel C McGillicuddy, Francesco Pompei, Dmitriy Burmistrov, Charles Harding, Leon D Sanchez

Abstract read
In one paragraph

Article in BMC emergency medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Syndromic Surveillance Systems for Mass Gatherings: A Scoping Review.International journal of environmental research and public health · 2022
    Article
  3. Article
  4. Observational
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Samantha F BordonaroUniversity Emergency Medical Services, Gates Vascular Institute, Buffalo, NY, USA.
Daniel C McGillicuddyDepartment of Emergency Medicine, Saint Joseph Mercy Hospital, Ann Arbor, MI, USA.
Francesco PompeiExergen Corporation, Watertown, MA, USA.
Dmitriy BurmistrovDepartment of Physics, Harvard University, Cambridge, MA, USA.
Charles HardingData Scientist, Seattle, WA, USA.
Leon D SanchezDepartment of Emergency Medicine, Beth Israel Deaconess Medical Center, One Deaconess Road, W-CC2, Boston, 02215, MA, USA. lsanche1@bidmc.harvard.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe emergency department (ED) increasingly acts as a gateway to the evaluation and treatment of acute illnesses. Consequently, it has also become a key testing ground for systems that monitor and identify outbreaks of disease. Here, we describe a new technology that automatically collects body temperatures during triage. The technology was tested in an ED as an approach to monitoring diseases that cause fever, such as seasonal flu and some pandemics.

methodsTemporal artery thermometers that log temperature measurements were placed in a Boston ED and used for initial triage vital signs. Time-stamped measurements were collected from the thermometers to investigate the performance a real-time system would offer. The data were summarized in terms of rates of fever (temperatures ≥100.4 °F [≥38.0 °C]) and were qualitatively compared with regional disease surveillance programs in Massachusetts.

resultsFrom September 2009 through August 2011, 71,865 body temperatures were collected and included in our analysis, 2073 (2.6 %) of which were fevers. The period of study included the autumn-winter wave of the 2009-2010 H1N1 (swine flu) pandemic, during which the weekly incidence of fever reached a maximum of 5.6 %, as well as the 2010-2011 seasonal flu outbreak, during which the maximum weekly incidence of fever was 6.6 %. The periods of peak fever rates corresponded with the periods of regionally elevated flu activity.

conclusionsTemperature measurements were monitored at triage in the ED over a period of 2 years. The resulting data showed promise as a potential surveillance tool for febrile disease that could complement current disease surveillance systems. Because temperature can easily be measured by non-experts, it might also be suitable for monitoring febrile disease activity in schools, workplaces, and transportation hubs, where many traditional syndromic indicators are impractical. However, the system's validity and generalizability should be evaluated in additional years and settings.

Indexed as

Disease OutbreaksEmergency Service, HospitalInfluenza A Virus, H1N1 SubtypeSeasonsTemperatureBostonFemaleHumansInfluenza, HumanMaleMiddle AgedPopulation Surveillance

Identifiers

PMID26961277
PMCPMC4784270

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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.