Evidence map›Paper›PMID 24991229›Full record

ReviewEmerging themes in epidemiology2014

Public health for the people: participatory infectious disease surveillance in the digital age.

Oktawia P Wójcik, John S Brownstein, Rumi Chunara, Michael A Johansson

Registry-linked trialAbstract readReview
In one paragraph

Review in Emerging themes in epidemiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04663776 (Wide Scale Monitoring for Acute Respiratory Infection Using a Mobile-Based Study Platform), which is not on this map. Cited by 79 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed, 2 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.

NCT04663776 completednot on this mapstarted 2020, after this paper: background citation

Wide Scale Monitoring for Acute Respiratory Infection Using a Mobile-Based Study Platform

TypeobservationalSponsorBoston Children's HospitalRan2020 to 2021Enrolled16,000ConditionsCovid19, Influenza, Respiratory Tract Infections, Acute Respiratory Tract Infection
3 · Its place in the literature

Who cites it

79 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
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  8. Review
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  12. Active Participatory Regional Surveillance for Notifiable Swine Pathogens.Animals : an open access journal from MDPI · 2024
    Article
  13. Article
  14. Syndromic surveillance performance in Canada throughout the COVID-19 pandemic, March 1, 2020 to March 4, 2023.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2023
    Article
  15. Article
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19 more citing papers are in PubMed but not listed here.

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

4 authors.

Oktawia P WójcikHarvard Medical School and Boston Children's Hospital, 1 Autumn St., Boston, MA 02215, USA.
John S BrownsteinHarvard Medical School and Boston Children's Hospital, 1 Autumn St., Boston, MA 02215, USA.
Rumi ChunaraHarvard Medical School and Boston Children's Hospital, 1 Autumn St., Boston, MA 02215, USA.
Michael A JohanssonCenters for Disease Control and Prevention, San Juan, Puerto Rico, USA.

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 R01 LM010812
6 · The paper itself

Abstract

The 21(st) century has seen the rise of Internet-based participatory surveillance systems for infectious diseases. These systems capture voluntarily submitted symptom data from the general public and can aggregate and communicate that data in near real-time. We reviewed participatory surveillance systems currently running in 13 different countries. These systems have a growing evidence base showing a high degree of accuracy and increased sensitivity and timeliness relative to traditional healthcare-based systems. They have also proven useful for assessing risk factors, vaccine effectiveness, and patterns of healthcare utilization while being less expensive, more flexible, and more scalable than traditional systems. Nonetheless, they present important challenges including biases associated with the population that chooses to participate, difficulty in adjusting for confounders, and limited specificity because of reliance only on syndromic definitions of disease limits. Overall, participatory disease surveillance data provides unique disease information that is not available through traditional surveillance sources.

Indexed as

DengueDisease surveillanceInfluenza-like illnessParticipatory surveillanceParticipatory surveillance systemPublic health

Identifiers

PMID24991229
PMCPMC4078360

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.