Evidence map›Paper›PMID 42819432›Full record

SynthesisFrontiers in public health2026

Preparedness of the Ghana Health Service for field epidemiology and applied biostatistics: a systematic review of infectious disease surveillance, outbreak investigation methodologies, and statistical modeling capacities in resource-limited settings.

Victor Luckyboy Dzramado, Obed U Lasim, William Wilberforce Amoah, Samuel Antwi, Joana Edem Koto, Doris Hagan

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Victor Luckyboy DzramadoDepartment of Biostatistics, Cape Coast Teaching Hospital, Cape Coast, Ghana.
Obed U LasimDepartment of Health Information Management, School of Allied Health Sciences, University of Cape Coast, Cape Coast, Ghana.
William Wilberforce AmoahDepartment of Emergency and Critical Care Nursing, School of Nursing and Midwifery, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Samuel AntwiSchool of Public Health, University of Ghana, Legon, Accra, Ghana.
Joana Edem KotoKintampo Health Research Centre, Kintampo, Bono East Region, Ghana.
Doris HaganDepartment of Public Health Nursing, School of Nursing and Midwifery, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Infectious disease outbreaks continue to threaten global health security, with resource-limited settings facing disproportionate challenges in surveillance, outbreak investigation, and applied biostatistical capacity. The WHO International Health Regulations 2005 framework defines preparedness through measurable core capacities, and seminal multi-country analyses of IHR State Party Self-Assessment Annual Reporting data from 182 and 186 countries consistently show that sub-Saharan African countries report the largest preparedness gaps globally. Ghana, despite hosting the first Field Epidemiology and Laboratory Training Programme in West Africa, has not previously been the subject of a comprehensive synthesis of its preparedness across all relevant IHR domains. This review therefore addresses a single integrated question: to what extent is the Ghana Health Service prepared for field epidemiology and applied biostatistics, as assessed through surveillance system performance, outbreak investigation capacity, workforce development, laboratory infrastructure, and statistical modeling capacities aligned with WHO IHR core capacity benchmarks? Methods: This systematic review followed PRISMA 2020 guidelines and was prospectively registered on PROSPERO (CRD420261299788). Searches were conducted in PubMed, African Index Medicus, AJOL, and Google Scholar, supplemented by grey literature, covering January 2000 to February 2026. Two reviewers independently screened 328 unique records, assessed 75 full-text articles, and included 38 studies with Ghana-specific disaggregated data. Quality was assessed using design-specific tools with transparent reconciliation into low, moderate, and high risk-of-bias categories. Narrative synthesis was the principal analytic approach. Results: Surveillance completeness ranged from 71% to 94% (median 82%); timeliness ranged from 48% to 91% (median 76%), with regional performance substantially exceeding district performance. The GFELTP produced 420 graduates from 2007 to 2017, representing 45% of WHO-benchmarked workforce requirements. Outbreak response times improved from 14 to 3 days for comparable outbreaks. Laboratory capacity remained concentrated in 2 to 6 sentinel sites. No included study examined biostatistical modeling capacity. The 2017 WHO Joint External Evaluation rated overall IHR capacity at 67%. Discussion: Ghana demonstrates advancing but incomplete preparedness. Priority interventions should address workforce expansion, peripheral surveillance strengthening, laboratory decentralization, and indigenous biostatistical capacity development. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/view/CRD420261299788, identifier: CRD420261299788.

Indexed as

BiostatisticsDisease OutbreaksEpidemiologyModels, StatisticalPopulation SurveillanceGhanaHumansPublic Health InfrastructureResource-Limited Settingscapacity buildingFELTPfield epidemiologyGhana Health ServiceIDSRoutbreak investigationpreparedness and responsesurveillance systems

Identifiers

PMID42819432
PMCPMC13624072

What Socratic holds

Textmetadata
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 Socratic graph.