Evidence map›Paper›PMID 35954663›Full record

ArticleInternational journal of environmental research and public health2022

A Novel Block Chain Method for Urban Digitization Governance in Birth Registration Field: A Case Study.

Jihui Shi, Solomon Kwadwo Nyedu Danquah, Wanhao Dong

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. 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

3 authors.

Jihui ShiDepartment of Management Science, Huzhou University, Huzhou 313000, China.ORCID 0000-0001-7603-9006
Solomon Kwadwo Nyedu DanquahSchool of Information Engineering, Huzhou University, Huzhou 313000, China.ORCID 0000-0003-3906-8005
Wanhao DongSchool of Public Finance & Administration, Shanghai Lixin University of Accounting and Finance, Shanghai 201209, China.ORCID 0000-0002-4432-3616

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Even though digitization is widely recognized as one of the most imperative trends in achieving effective urban governance, digital infrastructure remains far from the global trend in many African countries. This paper proposes a novel, resilient data manipulation architecture model called the Birth Notification Verification Model (BNVM) using blockchain and smart contracts. The proposed solution was evaluated in a real-world use case scenario in Ghana. The model, which is based on the Ten Civil Registration and Vital Statistics (CRVS) Framework, focuses on the initial inputs for birth registration at the birth notification level. The approach presented in this study paves the way for the creation of decentralized, secure, transparent, and automated systems for civil registration. The application of a smart contract architecture that blends a centralized design with an on-chain and off-chain architecture is further supported by this, providing more evidence of its viability. It offers a safe verification framework for the Ghana Birth and Death Registry based on smart contract technology and can guarantee a birth notification as proof of birth certificate registration in accordance with international standards. The findings provide insight into the use of blockchain technology in public registry institutions. Furthermore, exploring its adoption and implementation in Sub-Saharan Africa contributes to the growing field of blockchain technology research and demonstrates how the concept will address long-standing issues with corruption and security in developing countries.

Indexed as

BlockchainVital StatisticsBirth CertificatesGhanaResearch Designblock chaincivil registrationdigitization governancesmart contract

Identifiers

PMID35954663
PMCPMC9368078

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Registered trials

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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.