Evidence map›Paper›PMID 32436578›Full record

ArticleJournal of public health (Oxford, England)2020

COVID-19 response in northwest Syria: innovation and community engagement in a complex conflict.

Abdulkarim Ekzayez, Munzer Al-Khalil, Mohamad Jasiem, Raed Al Saleh, Zedoun Alzoubi, Kristen Meagher, Preeti Patel

Abstract read
In one paragraph

Article in Journal of public health (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 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.

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

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

7 authors.

Abdulkarim EkzayezConflict and Health Research Group and R4HC-MENA, King's College London, UK.
Munzer Al-KhalilIdleb Health Directorate, Idleb, Syria.
Mohamad JasiemEarly Warning and Response Network (EWARN), The Assistance Coordination Unit, Gaziantep, Turkey.
Raed Al SalehWhite Helmets (Syria Civil Defence), Idleb, Syria.
Zedoun AlzoubiIdleb Health Directorate, Idleb, Syria.
Kristen MeagherConflict and Health Research Group and R4HC-MENA, King's College London, UK.
Preeti PatelConflict and Health Research Group and R4HC-MENA, King's College London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite lacking capacity and resources, the health system in the northwest Syria is using innovative approaches for the containment of COVID-19. Lessons drawn from previous outbreaks in the region, such as the polio outbreak in 2013 and the annual seasonal influenza, have enabled the Early Warning and Response Network, a surveillance system to develop mechanisms of predicting risk and strengthening surveillance for the new pandemic. Social media tools such as WhatsApp are effectively collecting health information and communicating health messaging about COVID-19. Community engagement has also been scaled up, mobilizing local resources and encouraging thousands of volunteers to join the 'Volunteers against Corona' campaign. Bottom-up local governance technical entities, such as Idleb Health Directorate and the White Helmets, have played key leadership role in the response. These efforts need to be scaled up to prevent the transmission of COVID-19 in a region chronically affected by a complex armed conflict.

Indexed as

Practice Guidelines as TopicBetacoronavirusCoronavirus InfectionsCOVID-19Disease OutbreaksGovernment ProgramsHumansPandemicsPneumonia, ViralPreventive Health ServicesPublic HealthSARS-CoV-2SyriaCOVID-19Idlebinfectious diseasepopulation-based and preventative servicesSocial distancingSurveillanceSyriawar

Identifiers

PMID32436578
PMCPMC7313796

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.