Evidence map›Paper›PMID 37532462›Full record

ArticleBMJ global health2023

Evaluation of Ebola virus disease surveillance system capability to promptly detect a new outbreak in Liberia.

Fulton Quincy Shannon, Luke L Bawo, John A Crump, Katrina Sharples, Richard Egan, Philip C Hill

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2023. 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
1.0field-weighted citation impact, top 26% of its field
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, 5 citations in OpenAlex.

  1. Review
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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

6 authors at 2 institutions in 2 countries.

Fulton Quincy ShannonCentre for International Health, University of Otago, Dunedin, New Zealand fqshannon@gmail.com.ORCID 0009-0002-6280-9473
Luke L BawoPlanning Research and Development, Republic of Liberia Ministry of Health, Monrovia, Liberia.
John A CrumpCentre for International Health, University of Otago, Dunedin, New Zealand.ORCID 0000-0002-4529-102X
Katrina SharplesMathematics and Statistics, University of Otago, Dunedin, New Zealand.
Richard EganPreventive and Social Medicine, University of Otago, Dunedin, New Zealand.
Philip C HillCentre for International Health, University of Otago, Dunedin, New Zealand.
University of Otago · NZUniversity of Liberia · LR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLiberia was heavily affected by the 2014-2016 Ebola virus disease (EVD) outbreak. With substantial investments in interventions to combat future outbreaks, it is hoped that Liberia is well prepared for a new incursion. We assessed the performance of the current EVD surveillance system in Liberia, focusing on its ability to promptly detect a new EVD outbreak.

methodsWe integrated WHO and US Centers for Disease Control and Prevention guidelines for public health surveillance system evaluation and used standardised indicators to measure system performance. We conducted 23 key informant interviews, 150 health facility assessment surveys and a standardised patient (SP) study (19 visits) from January 2020 to January 2021. Data were summarised and a gap analysis conducted.

resultsWe found basic competencies of case detection and reporting necessary for a functional surveillance system were in place. At the higher (national, county and district) levels, we found performance gaps in 2 of 6 indicators relating to surveillance system structure, 3 of 14 indicators related to core functions, 1 of 5 quality indicators and 2 of 8 indicators related to support functions. The health facility assessment found performance gaps in 9 of 10 indicators related to core functions, 5 of 6 indicators related to support functions and 3 of 7 indicators related to quality. The SP simulations revealed large gaps between expected and actual practice in managing a patient warranting investigation for EVD. Major challenges affecting the system's operations across all levels included limited access to resources to support surveillance activities, persistent stock out of sample collection materials and attrition of trained staff.

conclusionThe EVD surveillance system in Liberia may fail to promptly detect a new EVD outbreak. Specific improvements are required, and regular evaluations recommended. SP studies could be crucial in evaluating surveillance systems for rarely occurring diseases that are important to detect early.

Indexed as

Hemorrhagic Fever, EbolaDisease OutbreaksHumansLiberiaPublic Health SurveillanceSurveys and QuestionnairesUnited StatesDescriptive studyEpidemiologyHealth systems evaluationPublic HealthViral haemorrhagic fevers

Identifiers

PMID37532462
PMCPMC10401241
OpenAlexW4385480919

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.