Evidence map›Paper›PMID 25992552›Full record

ArticlePloS one2015

Surveillance for Neisseria meningitidis Disease Activity and Transmission Using Information Technology.

S Sohail Ahmed, Ernesto Oviedo-Orta, Sumiko R Mekaru, Clark C Freifeld, Gervais Tougas, John S Brownstein

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Review
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 at 4 institutions in 3 countries.

S Sohail AhmedGlobal Clinical Sciences, Novartis Vaccines Srl, Siena, Italy.
Ernesto Oviedo-OrtaGlobal Clinical Sciences, Novartis Vaccines Srl, Siena, Italy.
Sumiko R MekaruChildren's Hospital Informatics Program at the Harvard-Massachusetts Institute of Technology Division of Health Sciences and Technology, Computational Epidemiology Group, Boston, Massachusetts, United States of America.
Clark C FreifeldChildren's Hospital Informatics Program at the Harvard-Massachusetts Institute of Technology Division of Health Sciences and Technology, Computational Epidemiology Group, Boston, Massachusetts, United States of America.
Gervais TougasDrug Safety and Epidemiology, Novartis Pharma AG, Basel, Switzerland.
John S BrownsteinChildren's Hospital Informatics Program at the Harvard-Massachusetts Institute of Technology Division of Health Sciences and Technology, Computational Epidemiology Group, Boston, Massachusetts, United States of America; Department of Pediatrics, Harvard Medical School, Boston Children's Hospital, Boston, Massachusetts, United States of America.
Massachusetts Institute of Technology · USNovartis (Italy) · ITHarvard University · USNovartis (Switzerland) · CH

Funding

A Platform for Modeling the Global Impact of Climate Change on Infectious DiseaseR01LM010812 · NLM · BOSTON CHILDREN'S HOSPITAL · PI BROWNSTEIN, JOHN S. · 2010 to 2015
$2.5M
NLM NIH HHS 5 R01 LM010812-04NLM NIH HHS R01 LM010812
6 · The paper itself

Abstract

backgroundWhile formal reporting, surveillance, and response structures remain essential to protecting public health, a new generation of freely accessible, online, and real-time informatics tools for disease tracking are expanding the ability to raise earlier public awareness of emerging disease threats. The rationale for this study is to test the hypothesis that the HealthMap informatics tools can complement epidemiological data captured by traditional surveillance monitoring systems for meningitis due to Neisseria meningitides (N. meningitides) by highlighting severe transmissible disease activity and outbreaks in the United States.

methodsAnnual analyses of N. meningitides disease alerts captured by HealthMap were compared to epidemiological data captured by the Centers for Disease Control's Active Bacterial Core surveillance (ABCs) for N. meningitides. Morbidity and mortality case reports were measured annually from 2010 to 2013 (HealthMap) and 2005 to 2012 (ABCs).

findingsHealthMap N. meningitides monitoring captured 80-90% of alerts as diagnosed N. meningitides, 5-20% of alerts as suspected cases, and 5-10% of alerts as related news articles. HealthMap disease alert activity for emerging disease threats related to N. meningitides were in agreement with patterns identified historically using traditional surveillance systems. HealthMap's strength lies in its ability to provide a cumulative "snapshot" of weak signals that allows for rapid dissemination of knowledge and earlier public awareness of potential outbreak status while formal testing and confirmation for specific serotypes is ongoing by public health authorities.

conclusionsThe underreporting of disease cases in internet-based data streaming makes inadequate any comparison to epidemiological trends illustrated by the more comprehensive ABCs network published by the Centers for Disease Control. However, the expected delays in compiling confirmatory reports by traditional surveillance systems (at the time of writing, ABCs data for 2013 is listed as being provisional) emphasize the helpfulness of real-time internet-based data streaming to quickly fill gaps including the visualization of modes of disease transmission in outbreaks for better resource and action planning. HealthMap can also contribute as an internet-based monitoring system to provide real-time channel for patients to report intervention-related failures.

Indexed as

Population SurveillanceGeographyHumansMedical InformaticsMeningitis, MeningococcalMeningococcal VaccinesNeisseria meningitidisSerotypingUnited StatesMeningococcal Vaccines

Identifiers

PMID25992552
PMCPMC4439021
OpenAlexW1689234104

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.