Evidence map›Paper›PMID 35764352›Full record

ArticleBMJ global health2022

Usage of social media in epidemic intelligence activities in the WHO, Regional Office for the Eastern Mediterranean.

Heidi Abbas, Mohamed Mostafa Tahoun, Ahmed Taha Aboushady, Abdelrahman Khalifa, Aura Corpuz, Pierre Nabeth

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2022. 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
2.2field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Event-based surveillance: Providing early warning for communicable disease threats.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2023
    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

6 authors at 1 institution in 1 country.

Heidi AbbasWHO Health Emergencies Programme, WHO Regional Office for the Eastern Mediterranean, Cairo, Egypt heidii.abbas@gmail.com.ORCID 0000-0002-2353-3059
Mohamed Mostafa TahounWHO Health Emergencies Programme, WHO Regional Office for the Eastern Mediterranean, Cairo, Egypt.ORCID 0000-0001-7603-1549
Ahmed Taha AboushadyWHO Health Emergencies Programme, WHO Regional Office for the Eastern Mediterranean, Cairo, Egypt.ORCID 0000-0002-8245-6591
Abdelrahman KhalifaWHO Health Emergencies Programme, WHO Regional Office for the Eastern Mediterranean, Cairo, Egypt.
Aura CorpuzWHO Health Emergencies Programme, WHO Regional Office for the Eastern Mediterranean, Cairo, Egypt.
Pierre NabethWHO Health Emergencies Programme, WHO Regional Office for the Eastern Mediterranean, Cairo, Egypt.ORCID 0000-0002-1567-6252
World Health Organization Regional Office for the Eastern Mediterranean · EG

Funding

World Health Organization 001
6 · The paper itself

Abstract

Social media platforms are a massive source of information being used for monitoring and detecting various actual events such as natural disasters and disease outbreaks. This paper aims to present the experience of WHO, Regional Office for the Eastern Mediterranean in using social media for the detection and monitoring of COVD-19 pandemic alongside the other event-based surveillance tools. Over the period of 29 January 2020 to 31 May 2021, information was collected from social media and other media outlets (web news) as being the source of health information for early detecting and monitoring the situation of COVID-19 events. Signals were categorised into new events and event updates; where event updates captured from social media were categorised into official and unofficial. A total of 10 160 COVID-19 information were captured, out of which 95.8% (n=9732) were detected through social media. None of the information captured were discarded. 50.0% (n=11) of the COVID-19 events in the Eastern Mediterranean Region (EMR) were primarily captured from social media compared with 4.5% (n=1) primarily captured from other media outlets. Almost all (99.4%) of the event updates captured from social media were official updates. Real-time, transparent and relevant information posted on different social media platforms, especially the governmental official social media accounts, strengthened the early detection and follow-up of public health events in the EMR, especially during the current COVID-19 pandemic.

Indexed as

COVID-19Social MediaHumansIntelligencePandemicsWorld Health OrganizationCOVID-19

Identifiers

PMID35764352
PMCPMC9240825
OpenAlexW4283733751

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.