Evidence map›Paper›PMID 33622473›Full record

ReviewEmerging infectious diseases2021

Evaluation of National Event-Based Surveillance, Nigeria, 2016-2018.

Kazim Beebeejaun, James Elston, Isabel Oliver, Adachioma Ihueze, Chika Ukenedo, Olusola Aruna, Favour Makava, Ejezie Obiefuna, Womi Eteng, Mercy Niyang and 5 more

Abstract readReview
In one paragraph

Review in Emerging infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. 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

15 authors.

Kazim Beebeejaun
James Elston
Isabel Oliver
Adachioma Ihueze
Chika Ukenedo
Olusola Aruna
Favour Makava
Ejezie Obiefuna
Womi Eteng
Mercy Niyang
Ebere Okereke
Bola Gobir
Elsie Ilori
Olubunmi Ojo
Chikwe Ihekweazu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nigeria Centres for Disease Control and Prevention established an event-based surveillance (EBS) system in 2016 to supplement traditional surveillance structures. The EBS system is comprised of an internet-based data mining tool and a call center. To evaluate the EBS system for usefulness, simplicity, acceptability, timeliness, and data quality, we performed a descriptive analysis of signals received during September 2017-June 2018. We used questionnaires, semistructured interviews, and direct observation to collect information from EBS staff. Amongst 43,631 raw signals detected, 138 (0.3%) were escalated; 63 (46%) of those were verified as events, including 25 Lassa fever outbreaks and 13 cholera outbreaks. Interviewees provided multiple examples of earlier outbreak detections but suggested notifications and logging could be improved to ensure action. EBS proved effective in detecting outbreaks, but we noted clear opportunities for efficiency gains. We recommend improving signal logging, standardizing processes, and revising outputs to ensure appropriate public health action.

Indexed as

Lassa FeverDisease OutbreaksHumansNigeriaPublic HealthSurveys and Questionnairesbacteriacholeraglobal healthinternetLassa feverNigeriaoutbreakspublic health surveillanceviruses

Identifiers

PMID33622473
PMCPMC7920654

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.