Evidence map›Paper›PMID 28137317›Full record

ArticleEpidemiology and infection2017

High added value of a population-based participatory surveillance system for community acute gastrointestinal, respiratory and influenza-like illnesses in Sweden, 2013-2014 using the web.

A Pini, H Merk, A Carnahan, I Galanis, E VAN Straten, K Danis, M Edelstein, A Wallensten

Abstract read
In one paragraph

Article in Epidemiology and infection, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

8 authors.

A PiniThe Public Health Agency of Sweden,Stockholm,Sweden.
H MerkThe Public Health Agency of Sweden,Stockholm,Sweden.
A CarnahanThe Public Health Agency of Sweden,Stockholm,Sweden.
I GalanisThe Public Health Agency of Sweden,Stockholm,Sweden.
E VAN StratenThe Public Health Agency of Sweden,Stockholm,Sweden.
K DanisEuropean Programme for Intervention Epidemiology Training (EPIET),European Centre for Disease Prevention and Control (ECDC),Stockholm,Sweden.
M EdelsteinThe Public Health Agency of Sweden,Stockholm,Sweden.
A WallenstenThe Public Health Agency of Sweden,Stockholm,Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 2013-2014, the Public Health Agency of Sweden developed a web-based participatory surveillance system, Hӓlsorapport, based on a random sample of individuals reporting symptoms weekly online, to estimate the community incidence of self-reported acute gastrointestinal (AGI), acute respiratory (ARI) and influenza-like (ILI) illnesses and their severity. We evaluated Hӓlsorapport's acceptability, completeness, representativeness and its data correlation with other surveillance data. We calculated response proportions and Spearman correlation coefficients (r) between (i) incidence of illnesses in Hӓlsorapport and (ii) proportions of specific search terms to medical-advice website and reasons for calling a medical advice hotline. Of 34 748 invitees, 3245 (9·3%) joined the cohort. Participants answered 81% (139 013) of the weekly questionnaires and 90% (16 351) of follow-up questionnaires. AGI incidence correlated with searches on winter-vomiting disease [r = 0·81, 95% confidence interval (CI) 0·69-0·89], and ARI incidence correlated with searches on cough (r = 0·77, 95% CI 0·62-0·86). ILI incidence correlated with the web query-based estimated incidence of ILI patients consulting physicians (r = 0·63, 95% CI 0·42-0·77). The high response to different questionnaires and the correlation with other syndromic surveillance systems suggest that Hӓlsorapport offers a reasonable representation of AGI, ARI and ILI patterns in the community and can complement traditional and syndromic surveillance systems to estimate their burden in the community.

Indexed as

Community ParticipationEpidemiological MonitoringHealth Services ResearchAdolescentAdultAgedAged, 80 and overChildChild, PreschoolFemaleGastroenteritisHumansInfantInfant, NewbornInternetMaleAcute gastrointestinal illnessacute respiratory illnessinfluenza-like illnesspopulation-based studysurveillance system

Identifiers

PMID28137317
PMCPMC5426337

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.