Evidence map›Paper›PMID 38943132›Full record

SynthesisBMC public health2024

Availability of published evidence on coverage, cost components, and funding support for digitalisation of infectious disease surveillance in Africa, 2003-2022: a systematic review.

Basil Benduri Kaburi, Manuela Harries, Anja M Hauri, Ernest Kenu, Kaspar Wyss, Bernard Chawo Silenou, Carolina J Klett-Tammen, Cordula Ressing, Jannis Awolin, Berit Lange and 1 more

Abstract readSystematic Review
In one paragraph

Synthesis in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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.

Basil Benduri KaburiDepartment of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany. basilbenduri.kaburi@helmholtz-hzi.de.
Manuela HarriesDepartment of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany.
Anja M Hauri *Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany.
Ernest Kenu *Ghana Field Epidemiology and Laboratory Training Programme, University of Ghana, Accra, Ghana.
Kaspar Wyss *Swiss Tropical and Public Health Institute, Allschwil, Switzerland.
Bernard Chawo SilenouDepartment of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany.
Carolina J Klett-TammenDepartment of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany.
Cordula RessingDepartment of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany.
Jannis AwolinDepartment of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany.
Berit Lange *Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany.
Gérard Krause *Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe implementation of digital disease surveillance systems at national levels in Africa have been challenged by many factors. These include user applicability, utility of IT features but also stable financial support. Funding closely intertwines with implementations in terms of geographical reach, disease focus, and sustainability. However, the practice of evidence sharing on geographical and disease coverage, costs, and funding sources for improving the implementation of these systems on the continent is unclear.

objectivesTo analyse the key characteristics and availability of evidence for implementing digital infectious disease surveillance systems in Africa namely their disease focus, geographical reach, cost reporting, and external funding support.

methodsWe conducted a systematic review of peer-reviewed and grey literature for the period 2003 to 2022 (PROSPERO registration number: CRD42022300849). We searched five databases (PubMed, MEDLINE over Ovid, EMBASE, Web of Science, and Google Scholar) and websites of WHO, Africa CDC, and public health institutes of African countries. We mapped the distribution of projects by country; identified reported implementation cost components; categorised the availability of data on cost components; and identified supporting funding institutions outside Africa.

resultsA total of 29 reports from 2,033 search results were eligible for analysis. We identified 27 projects implemented in 13 countries, across 32 sites. Of these, 24 (75%) were pilot projects with a median duration of 16 months, (IQR: 5-40). Of the 27 projects, 5 (19%) were implemented for HIV/AIDs and tuberculosis, 4 (15%) for malaria, 4 (15%) for all notifiable diseases, and 4 (15%) for One Health. We identified 17 cost components across the 29 reports. Of these, 11 (38%) reported quantified costs for start-up capital, 10 (34%) for health personnel compensation, 9 (31%) for training and capacity building, 8 (28%) for software maintenance, and 7(24%) for surveillance data transmission. Of 65 counts of external funding sources, 35 (54%) were governmental agencies, 15 (23%) foundations, and 7 (11%) UN agencies.

conclusionsThe evidence on costing data for the digitalisation of surveillance and outbreak response in the published literature is sparse in quantity, limited in detail, and without a standardised reporting format. Most initial direct project costs are substantially donor dependent, short lived, and thus unsustainable.

Indexed as

Communicable DiseasesAfricaHumansPopulation SurveillanceAfricaCosting dataCoverageDigital systemsFundingImplementationInfectious diseasesOutbreak responseSurveillanceSustainability

Identifiers

PMID38943132
PMCPMC11214246

What OpenQuestion holds

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LicenceCC BY
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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.