Evidence map›Paper›PMID 30869055›Full record

ArticleEpidemiology and infection2019

The Ebola virus disease outbreak in Tonkolili district, Sierra Leone: a retrospective analysis of the Viral Haemorrhagic Fever surveillance system, July 2014-June 2015.

Alessandro Miglietta, Angelo Solimini, Ghyslaine Bruna Djeunang Dongho, Carla Montesano, Giovanni Rezza, Vincenzo Vullo, Vittorio Colizzi, Gianluca Russo

Abstract read
In one paragraph

Article in Epidemiology and infection, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

8 authors.

Alessandro MigliettaEpidemiology and Preventive Medicine Units,Central Tuscany Health Authority,Florence,Italy.ORCID 0000-0002-5841-6645
Angelo SoliminiDepartment of Public Health and Infectious Diseases,Faculty of Medicine and Pharmacy,'Sapienza' University of Rome,Rome,Italy.
Ghyslaine Bruna Djeunang DonghoDepartment of Public Health and Infectious Diseases,Faculty of Medicine and Pharmacy,'Sapienza' University of Rome,Rome,Italy.
Carla MontesanoDepartment of Biology,University of Rome 'Tor Vergata',Rome,Italy.
Giovanni RezzaDepartment of Infectious Diseases,Istituto Superiore di Sanità,Rome,Italy.
Vincenzo VulloDepartment of Public Health and Infectious Diseases,Faculty of Medicine and Pharmacy,'Sapienza' University of Rome,Rome,Italy.
Vittorio ColizziDepartment of Biology,University of Rome 'Tor Vergata',Rome,Italy.
Gianluca RussoDepartment of Public Health and Infectious Diseases,Faculty of Medicine and Pharmacy,'Sapienza' University of Rome,Rome,Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Sierra Leone, the Ebola virus disease (EVD) outbreak occurred with substantial differences between districts with someone even not affected. To monitor the epidemic, a community event-based surveillance system was set up, collecting data into the Viral Haemorrhagic Fever (VHF) database. We analysed the VHF database of Tonkolili district to describe the epidemiology of the EVD outbreak during July 2014-June 2015 (data availability). Multivariable analysis was used to identify risk factors for EVD, fatal EVD and barriers to healthcare access, by comparing EVD-positive vs. EVD-negative cases. Key-performance indicators for EVD response were also measured. Overall, 454 EVD-positive cases were reported. At multivariable analysis, the odds of EVD was higher among those reporting contacts with an EVD-positive/suspected case (odds ratio (OR) 2.47; 95% confidence interval (CI) 2.44-2.50; P < 0.01) and those attending funeral (OR 1.02; 95% CI 1.01-1.04; P < 0.01). EVD cases from Kunike chiefdom had a lower odds of death (OR 0.22; 95% CI 0.08-0.44; P < 0.01) and were also more likely to be hospitalised (OR 2.34; 95% CI 1.23-4.57; P < 0.05). Only 25.1% of alerts were generated within 1 day from symptom onset. EVD preparedness and response plans for Tonkolili should include social-mobilisation activities targeting Ebola/knowledge-attitudes-practice during funeral attendance, to avoid contact with suspected cases and to increase awareness on EVD symptoms, in order to reduce delays between symptom onset to alert generation and consequently improve the outbreak-response promptness.

Indexed as

Disease OutbreaksEpidemiological MonitoringAdolescentAdultAgedAged, 80 and overChildChild, PreschoolEbolavirusFemaleHealth Services AccessibilityHemorrhagic Fever, EbolaHumansInfantInfant, NewbornMaleAnalysis of dataEbola virusoutbreakssurveillance system

Identifiers

PMID30869055
PMCPMC6518516

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.