Evidence map›Paper›PMID 38813658›Full record

ArticleHealth policy and planning2025

Digitalizing disease surveillance: experience from Sierra Leone.

Magoba Bridget, Gebrekrstos Negash Gebru, George S Odongo, Calle Hedberg, Adel Hussein Elduma, Joseph Sam Kanu, James Bangura, James Sylvester Squire, Monique A Foster

Abstract read
In one paragraph

Article in Health policy and planning, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. 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

9 authors.

Magoba BridgetDepartment of Surveillance, African Field Epidemiology Network, Freetown, Sierra Leone.ORCID 0009-0006-9964-5811
Gebrekrstos Negash GebruDepartment of Surveillance, African Field Epidemiology Network, Freetown, Sierra Leone.
George S OdongoDivision of Global Health Protection, United States Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA, United States.
Calle HedbergHealth Information Systems Program, PostNet Suite, #47 Private Bag, X3 Beacon Bay, Pretoria, South Africa.
Adel Hussein EldumaDepartment of Surveillance, African Field Epidemiology Network, Freetown, Sierra Leone.
Joseph Sam KanuNational Disease Surveillance Program, Ministry of Health, Freetown, Sierra Leone.
James BanguraHealth and Development in Action (HEADA), 16 Lower Pipeline, off Wilkinson road, Freetown, Sierra Leone.
James Sylvester SquireNational Disease Surveillance Program, Ministry of Health, Freetown, Sierra Leone.
Monique A FosterDivision of Global Health Protection, United States Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA, United States.

Funding

CDC HHS
6 · The paper itself

Abstract

The Integrated Disease Surveillance and Response (IDSR) system was adopted by the Sierra Leone Ministry of Health (MOH) in 2008, which was based on paper-based tools for health data recording and reporting from health facilities to the national level. The Sierra Leone MoH introduced the implementation of electronic case-based disease surveillance reporting of immediately notifiable diseases. This study aims to document and describe the experience of Sierra Leone in transforming her paper-based disease surveillance system into an electronic disease surveillance system. Retrospective mixed methods of qualitative and quantitative data were reviewed. Qualitative data were collected by reviewing surveillance technical reports, epidemiological bulletins, COVID-19, IDSR technical guidelines, Digital Health strategy and DHIS2 documentation. Content and thematic data analyses were performed for the qualitative data, while Microsoft Excel and DHIS2 platform were used for the quantitative data analysis to document the experience of Sierra Leone in digitalizing its disease surveillance system. In the early 2017, a web-based electronic Case-Based Disease Surveillance (eCBDS) for real-time reporting of immediately notifiable diseases and health threats was piloted using the District Health Information System 2 (DHIS2) software. The eCBDS integrates case profile, laboratory, and final outcome data. All captured data and information are immediately accessible to users with the required credentials. The system can be accessed via a browser or an Android DHIS2 application. By 2021, there was a significant increase in the proportion of immediately notifiable cases reported through the facility-level electronic platform, and more than 80% of the cases reported through the weekly surveillance platform had case-based data in eCBDS. Case-based data from the platform are analysed and disseminated to stakeholders for public health decision-making. Several outbreaks of Lassa fever, Measles, vaccine-derived Polio and Anthrax have been tracked in real-time through the eCBDS.

Indexed as

Population SurveillanceCOVID-19Disease NotificationHumansRetrospective StudiesSARS-CoV-2Sierra LeoneDHIS2eCBDSeIDSRSierra LeoneSurveillance

Identifiers

PMID38813658
PMCPMC11724635

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.