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1.
Proceedings of the 10th International Conference on Signal Processing and Integrated Networks, SPIN 2023 ; : 590-596, 2023.
Artículo en Inglés | Scopus | ID: covidwho-20242821

RESUMEN

The successful elimination of the SARS-Cov2 virus has evaded the society and medical fraternity to date. Months have passed but the virus is still very much present amongst us though its severity and contagiousness have decreased. The pandemic which was first detected in Wuhan, China in late 2019 has had colossal ramifications for the societal, financial and physical well-being of humankind. Timely detection and isolation of infected persons is the only way to contain this contagion. One of the biggest hurdles in accurately detecting Covid-19 is its similarities to other thoracic ailments such as Lung cancer, bacterial and viral Pneumonia, tuberculosis and others. Differential observation is challenging due to identical radioscopic discoveries such as GGOs, crazy paving structures and their combinations. Thorax imaging such as X-rays(CXR) have proven to be an efficient and economical diagnostics for detecting Covid-19 Pneumonia. The proposed work aims at utilising three CNN models namely Inception-V3, DenseNet169 and VGG16 along with feature concatenation and Ensemble technique to correctly predict Covid-19 Pneumonia from Chest X-rays of patients. The Covid-19 Radiography dataset, having a total of 4839 CXR images, has been employed to evaluate the proposed model and accuracy, precision, recall and F1-Score of 97.74%, 97.78%, 97.73% and 97.75% has been obtained. The proposed system can assist medical professionals in detecting Covid-19 from a host of other pulmonary diseases with a high probability. © 2023 IEEE.

2.
Asian Pacific Journal of Tropical Medicine ; 14(8):341-349, 2021.
Artículo en Inglés | Web of Science | ID: covidwho-1341803

RESUMEN

Objective: To identify the acceptance of the vaccine based on factors influencing the vaccination program and the side effects from vaccinated people. Methods: A cross-sectional online survey of 1 529 Bangladeshi adults (>= 18 years) was conducted between 17 April, 2021 and 26 April, 2021. Statistical analysis of the data included Chi-square test and multinomial logistic regression analysis. Results: In total, 67.04% of the participants were willing to accept a COVID-19 vaccine, and 45.00% of them in our study had already received. Overall Bangladeshi people were more likely to accept COVID-19 vaccine if the vaccine reduces risk of infectious disease and has no associated health risk after receiving it. Among the respondents, religions, education level, living area (urban), belif that vaccines protect against infectious diseases and vaccines do not have health-related risk and vaccination was significantly associated with the acceptance of COVID-19 vaccines. Conversely, people's perception on development of natural immunity rather than receiving vaccines was also positively reflected. More than half (57.41%) reported minor side effects such as fever, muscle pain and headache after getting vaccine shots. Conclusions: This study revealed that the acceptance rate was influenced by socio-demographic and health-related characteristics and people are not afraid of this vaccine if they faced minor side effects after receiving it. These findings might help the government and policymakers of Bangladesh to implement necessary steps to accomplish this vaccination program effectively.

3.
International Journal of Human Rights in Healthcare ; 2021.
Artículo en Inglés | Scopus | ID: covidwho-1281933

RESUMEN

Purpose: The purpose of this paper is to scrutinize the human rights dimensions of COVID-19 responses in Bangladesh through a viewpoint methodology in four critical areas: freedom of opinion and expression;access to information;protection of health-care workers;and marginalized populations’ access to health care. However, these responses remain non-aligned with the international human rights law obligations of Bangladesh, which undermines the human rights and dignity of its population. Based on the responses shaping and aggravating the situation, this paper concludes with some recommendations, which can be helpful for Bangladesh for better human rights responses in these areas, should a parallel situation emerge in the future. Design/methodology/approach: This paper scrutinizes the human rights dimensions of COVID-19 responses in Bangladesh through a viewpoint methodology. Findings: The responses of Bangladesh remain non-aligned with international human rights law obligations of Bangladesh, which undermines the human rights and dignity of its population. Originality/value: This paper concludes with some recommendations, which can be helpful for Bangladesh for better human rights responses in these areas, should a parallel situation emerge in the future. © 2021, Emerald Publishing Limited.

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