Evidence map›Paper›PMID 29350791›Full record

ArticleInfluenza and other respiratory viruses2018

Comparison of outpatient medically attended and community-level influenza-like illness-New York City, 2013-2015.

Kate E Russell, Ashley Fowlkes, Melissa S Stockwell, Celibell Y Vargas, Lisa Saiman, Elaine L Larson, Philip LaRussa, Steve Di Lonardo, Michael Popowich, Kirsten St George and 2 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Influenza and other respiratory viruses, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 27% of its field
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
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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

12 authors at 4 institutions in 1 country.

Kate E RussellEpidemic Intelligence Service, Centers for Disease Control and Prevention, Atlanta, GA, USA.ORCID 0000-0001-9343-3355
Ashley FowlkesInfluenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Melissa S StockwellColumbia University Medical Center, New York, NY, USA.
Celibell Y VargasColumbia University Medical Center, New York, NY, USA.
Lisa SaimanColumbia University Medical Center, New York, NY, USA.
Elaine L LarsonColumbia University Medical Center, New York, NY, USA.
Philip LaRussaColumbia University Medical Center, New York, NY, USA.
Steve Di LonardoNew York City Department of Health and Mental Hygiene, New York, NY, USA.
Michael PopowichWadsworth Center, New York State Department of Health, Albany, NY, USA.
Kirsten St GeorgeWadsworth Center, New York State Department of Health, Albany, NY, USA.ORCID 0000-0001-5168-763X
Andrea SteffensInfluenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Carrie ReedInfluenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Columbia University Irving Medical Center · USCenters for Disease Control and Prevention · USNew York State Department of Health · USNew York City Department of Health and Mental Hygiene · US

Funding

MOSAIC: Mobile Surveillance for ARI and ILI in the CommunityU01IP000618 · IP · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI STOCKWELL, MELISSA S · 2012 to 2016
$6.0M
NCHM CDC HHS U60 HM000803NCIRD CDC HHS U01 IP000618
6 · The paper itself

Abstract

backgroundSurveillance of influenza-like illness (ILI) in the United States is primarily conducted through medical settings despite a significant burden of non-medically attended ILI.

objectivesTo assess consistency between surveillance for respiratory viruses in outpatient and community settings using ILI surveillance from the Centers for Disease Control and Prevention Influenza Incidence Surveillance Project (IISP) and the Mobile Surveillance for Acute Respiratory Infections (ARI) and Influenza-Like Illness in the Community (MoSAIC) Study.

methodsThe Influenza Incidence Surveillance Project conducts ILI surveillance in 3 primary care clinics in New York City, and MoSAIC conducts community-based ILI/ARI surveillance through text messaging among a cohort of New York City residents. Both systems obtain respiratory specimens from participants with ILI/ARI and test for multiple pathogens. We conducted a retrospective review of ILI cases in IISP and MoSAIC from January 2013 to May 2015 with descriptive analyses of clinical and laboratory data.

resultsFive-hundred twelve MoSAIC and 669 IISP participants met an ILI criteria (fever with cough or sore throat) and were included. Forty percent of MoSAIC participants sought care; the majority primary care. Pathogens were detected in 63% of MoSAIC and 70% of IISP cases. The relative distribution of influenza and other respiratory viruses detected was similar; however, there were statistically significant differences in the frequency that were not explained by care seeking.

conclusionsOutpatient and community-based surveillance in the one found similar timing and relative distribution of respiratory viruses, but community surveillance in a single neighborhood may not fully capture the variations in ILI etiology that occur more broadly.

Indexed as

AdolescentAdultAmbulatory Care FacilitiesChildChild, PreschoolCommunity Health ServicesEpidemiological MonitoringFemaleFeverHumansInfantInfluenza, HumanMaleMiddle AgedNew York CityOutpatientscommunity surveillanceinfluenzainfluenza-like illnessrespiratory viruses

Identifiers

PMID29350791
PMCPMC5907822
OpenAlexW2790300795

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.