Evidence map›Paper›PMID 39574837›Full record

ReviewPublic health reviews2024

Promoting Awareness of Data Confidentiality and Security During the COVID-19 Pandemic in a Low-Income Country-Sierra Leone.

Joseph Sam Kanu, Mohamed A Vandi, Brima Bangura, Katherine Draper, Yelena Gorina, Monique A Foster, Jadnah D Harding, Eric N Ikoona, Amara Jambai, Mohamed A M Kamara and 4 more

Abstract readReview
In one paragraph

Review in Public health reviews, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Joseph Sam KanuDirectorate of Health Security and Emergencies, Ministry of Health, Freetown, Sierra Leone.
Mohamed A VandiDirectorate of Health Security and Emergencies, Ministry of Health, Freetown, Sierra Leone.
Brima BanguraDirectorate of Health Security and Emergencies, Ministry of Health, Freetown, Sierra Leone.
Katherine DraperInfectious Diseases and Outbreaks Division, Alabama Department of Public Health, Montgomery, AL, United States.
Yelena GorinaGlobal Health Center, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Monique A FosterGlobal Health Center, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Jadnah D HardingDirectorate of Health Security and Emergencies, Ministry of Health, Freetown, Sierra Leone.
Eric N IkoonaDirectorate of Health Security and Emergencies, Ministry of Health, Freetown, Sierra Leone.
Amara JambaiDirectorate of Health Security and Emergencies, Ministry of Health, Freetown, Sierra Leone.
Mohamed A M KamaraDirectorate of Health Security and Emergencies, Ministry of Health, Freetown, Sierra Leone.
Daniel KaitibiDepartment of Physics and Computer Science, School of Technology, Njala University, Freetown, Sierra Leone.
Daphne B MoffettGlobal Health Center, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Tushar SinghGlobal Health Center, Centers for Disease Control and Prevention, Atlanta, GA, United States.
John T ReddThe Schmidt Initiative for Long Covid (SILC), Menlo Park, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: World Health Organization issued Joint Statement on Data Protection and Privacy in the COVID-19 Response stating that collection of vast amounts of personal data may potentially lead to the infringement of fundamental human rights and freedoms. The Organization for Economic Cooperation and Development called on national governments to adhere to the international principles for data security and confidentiality. This paper describes the methods used to assist the Ministry of Health in bringing awareness of the data ownership, confidentiality and security principles to COVID-19 responders. Methods: The Sierra Leone Epidemiological Data (SLED) Team data managers conducted training for groups of COVID-19 responders. Training included presentations on data confidentiality, information disclosure, physical and electronic data security, and cyber-security; and interactive discussion of real-life scenarios. A game of Jeopardy was created to test the participant's knowledge. Results: This paper describes the methods used by the SLED Team to bring awareness of the DOCS principles to more than 2,500 COVID-19 responders. Conclusion: Similar efforts may benefit other countries where the knowledge, resources, and governing rules for protection of personal data are limited.

Indexed as

cybersecuritydata confidentialitydata ownershipdata securitySierra LeoneSierra Leone Epidemiological Data TeamSLEDtraining

Identifiers

PMID39574837
PMCPMC11581828

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.