The Importance of Healthcare Workers to Comply with Infection Prevention and Control Instructions During COVID-19 Outbreak-A Survey Study

Korkusuz, Ramazan; Şenoğlu, Sevtap; Polat, Özlem; Yaşar, Kadriye Kart

doi:10.14235/bas.galenos.2020.4832

Cited by 2 publications

(1 citation statement)

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“…With the introduction of the term "collaboration", a large number of scholars have classified the five concepts of "collaboration" from six aspects: "interaction", "willingness", "trust", "participation", "reciprocity" and "perception", and incorporated four aspects of "collaboration" into the category of "collaboration", thus distinguishing "collaboration" from "cooperation", which is the most confusing concept [11].…”

Section: Collaborative Informationmentioning

confidence: 99%

A face recognition method based on sparse enhancement and collaborative information fusion for epidemic prevention and control

Deng

2023

3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023)

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At present, "COVID-19" has spread in 184 countries (regions) in the world, and more than 500 million patients have been diagnosed and caused 66.3 million deaths. The worldwide epidemic is still ongoing, and the epidemic in China is still increasing, therefore, the regular prevention and control of the epidemic is An important part of ensuring people live, live, live, especially in crowded places, there is an urgent need for artificial intelligence, biometrics and other technologies. This paper proposes the face recognition method of sparse enhancement and collaborative information fusion. The paper first explains and generalises the relevant terms, and finally, the practicality of the algorithm is demonstrated through experimental analysis. The recognition rate of the algorithm described in this paper is generally higher than 95% on different facial masking ratios, and the results show that the face recognition method of sparse enhancement and collaborative information fusion based on epidemic prevention and control is a very worthy research The results show that face recognition based on sparse enhancement and collaborative information fusion for epidemic prevention and control is a very worthwhile research technique that can help solve the critical problems of epidemic prevention and control today.

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Section: Collaborative Informationmentioning

confidence: 99%

A face recognition method based on sparse enhancement and collaborative information fusion for epidemic prevention and control

Deng

2023

3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023)

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The correlation between aminotransferase enzyme levels, neutrophil-to-lymphocyte ratio, absolute lymphocyte count and the severity of Covid-19

Al,

Santosa,

Suromo

et al. 2023

Scripta Medica

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Background/Aim: Aspartate aminotransferase (AST), alanine aminotransferase (ALT), neutrophil-to-lymphocyte ratio (NLR) and absolute lymphocyte count (ALC) are indicators that are widely used as a determinant of the prognosis of patients with viral pneumonia. Thus, the study aim was to prove the correlation between AST/ALT, NLR and ALC levels with the severity of COVID-19. Methods: The research method was carried out by collecting medical record data of positive COVID-19 patients who were hospitalised at the Indramayu Hospital in the period September 2020 - January 2021. Results: The results showed normal AST levels in 63 and elevated AST levels in 57 patients. Normal and elevated ALT levels were in 68 and 52 patients, respectively. The normal NLR was in 102 patients and the high NLR was in 18 patients. The low and normal ALC was in 19 and 101 patients, respectively. AST levels correlated with the severity of COVID-19 (p = 0.045). Other parameters were without statistical significance (p > 0.05). Conclusion: AST enzyme levels had a weak positive correlation with the severity of COVID-19. On the other hand, ALT, NLR and ALC had not correlated with the severity of COVID-19.

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The Importance of Healthcare Workers to Comply with Infection Prevention and Control Instructions During COVID-19 Outbreak-A Survey Study

Cited by 2 publications

References 0 publications

A face recognition method based on sparse enhancement and collaborative information fusion for epidemic prevention and control

A face recognition method based on sparse enhancement and collaborative information fusion for epidemic prevention and control

The correlation between aminotransferase enzyme levels, neutrophil-to-lymphocyte ratio, absolute lymphocyte count and the severity of Covid-19

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