Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 4 de 4
Filter
1.
International Journal of Radiation Oncology, Biology, Physics ; 114(3):e330-e330, 2022.
Article in English | CINAHL | ID: covidwho-2036100
2.
Medical Science ; 25(117):2885-2890, 2021.
Article in English | Web of Science | ID: covidwho-1893920

ABSTRACT

Background: COVID-19 poses a great challenge to the global health Care system all over the world. The contribution of your frontline worker toward defeating the pandemic is immeasurable on the other hand the health care professional also burdens up and faces disturbance in the mental and physical health. Methodology: Study was conducted with an objective to assess the mental health and coping strategies used by health professionals during COVID-19 Pandemic. A cross sectional survey design was used and sample was collected by Snowball sampling technique from different state and union territories of India. A total 106 healthcare professionals responded and enrolled themselves in the study. Result: in present study most of the participants 53(50.0%) reported moderate depression, 53(50.0%) moderate anxiety and 49 (46.2%) had mild stress. The data analysis reported that maximum numbers of participants had access to psycho-educational material like leaflet, brochure and books provided by the institution (60.4%) compared to (39.6%) who did not get this privilege, next, majority of the participant (76.4%) had availability of resources like internet, TV, newspaper, social media etc. More than half of the participants were able to avail counselling services (55.7%), psychotherapy (63.2%) etc. Conclusion: This pandemic has led to anxiety, stress, depression and other mental health issues among the people especially in health care profession. Mental health problems like stress, anxiety and depression can adversely affect the physical health of the health professionals as well as their competency to care for sick.

3.
1st International Conference on Cyber Intelligence and Information Retrieval, CIIR 2021 ; 291:267-277, 2022.
Article in English | Scopus | ID: covidwho-1473957

ABSTRACT

Since the pandemic began, the attention of the entire world has turned to the digital health environment to provide potential health options to minimize the effects of this pandemic in this moment of unparalleled medical crisis. Paper presents the survey on the role of Artificial Intelligence in decision support systems to diagnose COVID-19 and we are presenting the Artificial Intelligence (AI) model for Decision Support System (DSS), Challenges faced during earlier pandemic due to lack of faster and efficient methods of diagnosis and Opportunities and Challenges of Clinical Decision Support System (CDSS). A three-dimensional deep learning system, called COVID-19 Neural Network detection (COVNet), is developed to detect COVID-19 based on CT images of the chest. We have seen that Decision support system using AI in Healthcare that is termed as Clinical decision support system is a very helpful, fast and advanced technique because during pandemics like COVID-19 the cases are increasing exponentially day by day so it’s not possible to diagnose each patient manually. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

4.
Indian Journal of Forensic Medicine and Toxicology ; 15(2):56-61, 2021.
Article in English | EMBASE | ID: covidwho-1289435

ABSTRACT

Introduction-The coronavirus COVID-19 illness makes a very unpredictable future the main psychological effect is elevated rates of anxiety, because of pandemic and the lockdown. Aim-The aimed of the study was to Assess the level of anxiety during COVID-19 among general population in India. Methodology-A Snowball sampling technique was used to collect the samples from different state and union territory of India. Total 829 participants respond and enrolled themselves in the study. Participants in the study belong to 27 states or union territories of India and majority of them are from Delhi. Result-Most of the Participant in the study was female (54%), graduate (51%), age between 18-28 (60%) and Hindu (89.3%). Half of the participant were having minimal anxiety (57.1%) nearly one fourth of the participant were having Mild anxiety (28.5%) and least number of participants were having Moderate anxiety (11.0%) and Severe anxiety (3.5%).There was no significant association of Anxiety scores with Socio-demographic variable except place of stay, suffering from any health problem and During lockdown period time spent in watching news related to corona (COVID-19) on mobile, laptop, television etc. Conclusion-The study concluded the outbreak of coronavirus disease 2019 (COVID-19) Cause anxiety among the people. Understanding the risk to yourself and people you care about can make an outbreak less adverse effect on mental and physical health of the people.

SELECTION OF CITATIONS
SEARCH DETAIL