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1.
PLoS One ; 19(8): e0305483, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-39088543

RESUMO

The COVID-19 epidemic is affecting individuals in many ways and continues to spread all over the world. Vaccines and traditional medical techniques are still being researched. In diagnosis and therapy, biological and digital technology is used to overcome the fear of this disease. Despite recovery in many patients, COVID-19 does not have a definite cure or a vaccine that provides permanent protection for a large number of people. Current methods focus on prevention, monitoring, and management of the spread of the disease. As a result, new technologies for combating COVID-19 are being developed. Though unreliable due to a lack of sufficient COVID-19 datasets, inconsistencies in the datasets availability, non-aggregation of the database because of conflicting data formats, incomplete information, and distortion, they are a step in the right direction. Furthermore, the privacy and confidentiality of people's medical data are only partially ensured. As a result, this research study proposes a novel, cooperative approach that combines big data analytics with relevant Artificial Intelligence (AI) techniques and blockchain to create a system for analyzing and detecting COVID-19 instances. Based on these technologies, the reliability, affordability, and prominence of dealing with the above problems required time. The architecture of the proposed model will analyze different data sources for preliminary diagnosis, detect the affected area, and localize the abnormalities. Furthermore, the blockchain approach supports the decentralization of the central repository so that it is accessible to every stakeholder. The model proposed in this study describes the four-layered architecture. The purpose of the proposed architecture is to utilize the latest technologies to provide a reliable solution during the pandemic; the proposed architecture was sufficient to cover all the current issues, including data security. The layers are unique and individually responsible for handling steps required for data acquisition, storage, analysis, and reporting using blockchain principles in a decentralized P2P network. A systematic review of the technologies to use in the pandemic covers all possible solutions that can cover the issue best and provide a secure solution to the pandemic.


Assuntos
Inteligência Artificial , Big Data , COVID-19 , COVID-19/epidemiologia , COVID-19/diagnóstico , Humanos , SARS-CoV-2/isolamento & purificação , Blockchain , Bases de Dados Factuais
2.
Cureus ; 16(7): e63606, 2024 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-39087165

RESUMO

Background The COVID-19 pandemic has significantly influenced public perceptions and behaviors related to vaccination. Understanding parental attitudes, knowledge gaps, and vaccination practices post-pandemic is crucial for informing effective public health strategies. This study aimed to investigate parental attitudes, knowledge, and practices toward routine childhood vaccination in the post-COVID-19 era, emphasizing shifts in perspectives and implications for vaccination strategies. Methodology A cross-sectional survey was conducted among 498 parents to assess their attitudes, knowledge, and practices regarding vaccination. Data were analyzed using descriptive statistics, chi-square tests, and t-tests where applicable, with p-values <0.05 considered statistically significant. Results The study revealed diverse parental attitudes toward vaccination post-COVID-19. While a majority (72.9%) maintained positive attitudes toward vaccination schedules and benefits, concerns regarding vaccine safety and efficacy were noted. Knowledge gaps persisted, with 16.5% strongly agreeing that children's vaccinations are weak and have no impact on disease prevention. Despite high adherence to vaccination schedules (68.9%), motivations behind vaccine administration were questioned, as 48.2% strongly disagreed that vaccination was solely for regulatory purposes. Conclusions Post-COVID-19, parental attitudes toward vaccination have evolved, reflecting increased concerns about safety and efficacy. Addressing knowledge gaps, combating misinformation, and enhancing trust in vaccination programs are imperative. Tailored communication strategies, education campaigns, and policy interventions are essential to promote vaccination acceptance and safeguard public health resilience in the post-pandemic era.

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