Evidence map›Paper›PMID 39910591›Full record

SynthesisInternational journal for equity in health2025

Using the WHO building blocks to examine cross-border public health surveillance in MENA.

Laura Buback, Shayanne Martin, Esbeydy Pardo, Farah Massoud, Jesus Formigo, Atousa Bonyani, Noha H Farag, Zayid K Almayahi, Kenta Ishii, Susie Welty and 1 more

Abstract readSystematic Review
In one paragraph

Synthesis in International journal for equity in health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

11 authors.

Laura BubackUniversity of California San Francisco (UCSF), San Francisco, USA. laura.buback@ucsf.edu.
Shayanne MartinUniversity of California San Francisco (UCSF), San Francisco, USA.
Esbeydy PardoUniversity of California San Francisco (UCSF), San Francisco, USA.
Farah MassoudUniversity of California San Francisco (UCSF), San Francisco, USA.
Jesus FormigoUniversity of California San Francisco (UCSF), San Francisco, USA.
Atousa BonyaniUniversity of California San Francisco (UCSF), San Francisco, USA.
Noha H FaragU.S. Centers for Disease Control and Prevention (CDC), Middle East & North Africa Regional Office, Muscat, Oman.
Zayid K AlmayahiU.S. Centers for Disease Control and Prevention (CDC), Middle East & North Africa Regional Office, Muscat, Oman.
Kenta IshiiCenters for Disease Control and Prevention (CDC), Atlanta, USA.
Susie WeltyUniversity of California San Francisco (UCSF), San Francisco, USA.
Dana SchneiderCenters for Disease Control and Prevention (CDC), Atlanta, USA.

Funding

CDC HHS 6 NU2HGH000098-01-03
6 · The paper itself

Abstract

The introduction of the Sustainable Development Goals by the United Nations has set a global target for achieving Universal Health Coverage, requiring resilient health systems capable of addressing public health emergencies and ensuring health security. Public health surveillance, crucial for detecting and responding to infectious disease outbreaks, is key to building health system resilience. Due to the high levels of mobility and political instability in the Middle East and North Africa (MENA) region, unique challenges arise in cross-border health surveillance. This review aims to highlight the importance of cross-border public health surveillance in strengthening health systems across MENA to achieve equitable health outcomes.A mixed-methods approach was utilized, combining a systematic literature review with semi-structured in-depth interviews (IDIs) involving 28 stakeholders from seven MENA countries. The literature review adhered to PRISMA guidelines, while the IDIs provided qualitative insights into current surveillance practices and challenges. Findings from the literature review and IDIs were triangulated and analyzed using the WHO Health Systems Strengthening (HSS) Building Blocks Framework to identify key challenges and recommendations for improving cross-border surveillance.Results indicate that existing cross-border surveillance systems in MENA face challenges in data collection, analysis, and sharing, with disparities across countries based on income levels and political contexts. Key challenges include delayed and incomplete data sharing, insufficient funding across sectors, inadequate training, inconsistent data definitions, and limited integration of health data for mobile populations. Recommendations emphasize strengthened governance and leadership to facilitate regional cooperation and information sharing, sustainable financing for implementing a One Health approach, utilizing innovative information systems, workforce development to enhance data collection and analysis, and secure supply chains for medicines and vaccines and equitable service delivery for all mobile populations.In conclusion, the WHO HSS Building Block Framework provides a comprehensive approach to assessing and improving cross-border public health surveillance and enhancing health security and equity in MENA. Strengthening cross-border surveillance systems may help MENA countries meet IHR requirements, achieve greater health security, and advance health equity among all types of mobile populations. Despite limitations, the study offers critical insights for improving cross-border surveillance strategies in the region.

Indexed as

Public HealthPublic Health SurveillanceAfrica, NorthernHumansMiddle EastWorld Health OrganizationBorder healthCross-border surveillanceHealth systems strengtheningMass gatheringsMiddle EastMobile populationsNorth AfricaTravel health

Identifiers

PMID39910591
PMCPMC11800598

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.