Evidence map›Paper›PMID 27178645›Full record

ArticleGlobal health action2016

Internet-based media coverage on dengue in Sri Lanka between 2007 and 2015.

Annelies Wilder-Smith, Emily Cohn, David C Lloyd, Yesim Tozan, John S Brownstein

Abstract readComparative Study
In one paragraph

Article in Global health action, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. PEACOCK: A Map-Based Multitype Infectious Disease Outbreak Information System.IEEE access : practical innovations, open solutions · 2019
    Article
  3. Article
  4. Observational
  5. 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

5 authors.

Annelies Wilder-SmithLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Emily CohnBoston Children's Hospital, Boston, MA, USA.
David C LloydLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
Yesim TozanInstitute of Public Health, University of Heidelberg, Heidelberg, Germany.
John S BrownsteinBoston Children's Hospital, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInternet-based media coverage to explore the extent of awareness of a disease and perceived severity of an outbreak at a national level can be used for early outbreak detection. Dengue has emerged as a major public health problem in Sri Lanka since 2009.

objectiveTo compare Internet references to dengue in Sri Lana with references to other diseases (malaria and influenza) in Sri Lanka and to compare Internet references to dengue in Sri Lanka with notified cases of dengue in Sri Lanka.

designWe examined Internet-based news media articles on dengue queried from HealthMap for Sri Lanka, for the period January 2007 to November 2015. For comparative purposes, we compared hits on dengue with hits on influenza and malaria.

resultsThere were 565 hits on dengue between 2007 and 2015, with a rapid rise in 2009 and followed by a rising trend ever since. These hits were highly correlated with the national epidemiological trend of dengue. The volume of digital media coverage of dengue was much higher than of influenza and malaria.

conclusionsDengue in Sri Lanka is receiving increasing media attention. Our findings underpin previous claims that digital media reports reflect national epidemiological trends, both in annual trends and inter-annual seasonal variation, thus acting as proxy biosurveillance to provide early warning and situation awareness of emerging infectious diseases.

Indexed as

DengueInternetClimateCommunicable Diseases, EmergingDisease OutbreaksHumansInfluenza, HumanMalariaMass MediaPublic HealthSri Lankaawareness about denguedengueemergence of dengueHealthmapinfluenzaInternetmalariamedianews coverageSri Lanka

Identifiers

PMID27178645
PMCPMC4867046

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LicenceCC BY
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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.