Abstract

The SARS-CoV-2 virus that causes COVID-19 affects the respiratory tract and is highly infectious. Those patients who knew that the disease could cause death or that their healing process is quite painful because of the symptoms and conditions developed extreme stress, anxiety, and depression, which aggravated the effects of the disease. Therefore, it is vital to conduct research to analyze these effects and generate self-help and support mechanisms during the disease process. This paper presents exploratory analysis related to stress, coping attitudes, emotional responses, and sources of support that were vital in patients affected by COVID-19; the focus of this study is the consideration of the spiritual factor, which may influence religious resilience that allows for a positive attitude and tenacity. To carry out this research, interviews were conducted with patients who had suffered from COVID-19 disease, and the collected information was processed using text-mining techniques using a two-phase methodology. The first phase is based on the Colaizzi method. Interview responses were coded through the search for patterns in the key phrases, and these codes were grouped, forming semantic relationships. In the second phase, natural-language processing algorithms (WordCloud, WordEmbedding, sentiment analysis of opinions) were used, summarizing the interviews in relevant factors of the patient’s experience during the disease. Spiritual resilience stood out the most of all key phrases of the code group tables. Likewise, words such as security, confidence, tranquility, and peace indicated that the patients took a positive attitude towards the symptoms and complications of the disease. Therefore, it is important to be the resilience to face a crisis process, and one of the factors that generated such resilience in COVID-19 patients was religious faith, which was expressed in the interviews using the factors of security, trust, promises of healing, tranquility, and the impossibility of discouragement. All this contributed to the positive attitude of the interviewees during the process of recovery from the disease.

Highlights

  • In 2019, the SARS-CoV-2 virus appeared, which causes the COVID-19 disease

  • Sentiment analysis of sentences obtained from tweets

  • The study of 2 datasets observes the impact of social networks that generate insecurity and uncertainty regarding COVID-19

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Summary

Introduction

In 2019, the SARS-CoV-2 virus appeared, which causes the COVID-19 disease. According to the World Health Organization (WHO), this virus affects the respiratory tract, and it is highly infectious and pathogenic, so it is vital to develop systems for monitoring patients with COVID-19 [1]. According to Praveen et al [2], COVID-19 has caused stress, anxiety, depression, and trauma in patients and healthcare workers. In this regard, a study conducted by Lahiri et al [3] indicated that those patients who knew that the disease could be a cause of death developed extreme stress, which was expressed by long periods of insomnia; such stress was exacerbated in those patients who lived alone and in the elderly. The study of Wang (2020) corroborated this finding They surveyed 1210 people in 194 Chinese cities, and found that, at the beginning of the COVID-19 outbreak, more than 50% of the respondents had moderate-to-severe psychological impact, and 30% had mild-to-severe anxiety. The disease has a very relevant psychological factor in the healing process, and that is why tranquility and a positive attitude are required [6]

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