European Journal of Molecular & Clinical Medicine

Background: In December 2019 a new kind of Coronavirus called SARSCov-
2(Severe Acute Respiratory Syndrome Coronavirus-2) emerged in Wuhan,
China which causes mild to severe form of respiratory illness, which became a
global pandemic. While specific medications are not yet available, development
of different kinds of vaccine with promising results can be a key intervention
against the on-going pandemic caused by SARS-CoV-2.
Aims and Objectives:
1. To identify the determinants of acceptance of Covid 19 vaccine.
2. To identify the facilitators regarding Covid 19 vaccine.
Methods: A predesigned online questionnaire was prepared in the form of
Google forms and given to individuals at vaccination centre of KIMS Hubballi.
If the participant was illiterate questionnaire was explained and data was
collected by interviewer. The questionnaire comprised of general demographic
data, existing comorbidities and various factors determining the acceptance of
covid19 vaccine.

Introduction: While there are considerable enthusiasm and anticipation for the COVID-19
vaccine, little is known about vaccine hesitancy specifically for COVID-19 in the general
population. Identifying specific populations, their characteristics with regards to vaccine
knowledge, awareness & acceptance will help as key components of a successful vaccination
strategy. Hence the present study was carried out to assess the knowledge, awareness &
acceptance of COVID-19 vaccination among general population of urban Raigarh,
Chhattisgarh.
Methods: A community-based cross-sectional study was conducted among 400 participants
of urban Raigarh regarding knowledge, awareness & acceptance of COVID-19 vaccine from
April-June 2021. The methodology comprises of primary data collection through survey in a
pre-designed pre-tested proforma by face to face interview.
Results: Total 400 participants among general population who had an average age of 34.3
years ±11.8 years with slight male preponderance (53.2%). Nearly half (58.2%) of
participants were from the slum, (45.2%) came under middle socio-economic class and (49%)
were self-employed. Majority (77.25%) knew about COVID-19 vaccination programme,
while (46.75%) knew about common side effects of vaccine. More than half (54.25%) were
aware that it boost up immunity against COVID-19 infection and (77.5%) were having good
knowledge regarding COVID-19 vaccination, and (36.5%) were afraid of taking COVID-19
vaccine, while (39%) were concerned about its side effects.
Conclusion: The study identified that majority of responders were aware regarding COVID-
19 vaccine, still many have doubts & concerns about its potential efficacy and safety thereby
providing an important outlook for feasible interventional awareness programs to enhance
vaccination rates. The study also identified that the concerns regarding the vaccine adverse
effects acted as the leading barrier for vaccine acceptance.

Background: This discussion on technology as a possible solution to difficulties such as a lack of competent personnel and an increasing demand for long-term care necessitates an examination of digital technology in nursing care. We opted to conduct this research since there aren't many good empirical overviews of current technology in the literature. With this project, researchers wanted to map the field of digital technologies used in informal and formal healthcare settings that had already been studied for acceptability, effectiveness, and efficiency (AEE). They also wanted to show how widely these techniques have been applied and which populations and settings they have been used on. Methods: A complete literature search was conducted using Medline, Scopus, CINAHL, Cochrane Library, ACM Digital Library, IEEE Xplore, the Collection of Computer Science Bibliographies, GeroLit, and CareLit. In addition, relevant articles on project websites were personally examined

the demand for nursing homes has grown as a result of the ageing of the population. "Multi-shift, high time-varying demand, hierarchical and collaborative" characterizes nursing practice. The number of nurses needed in a 24-hour period will vary greatly depending on the time of day; hierarchical means that different levels of nurses' abilities exist; collaborative means that different levels of employees collaborate to serve the elderly. Because of the high time-varying demand, the number of nurses needed in a 24-hour period will vary greatly. SDP and hierarchical staffing issues are the focus of our research, which includes the design of each shift's time frame to accommodate demand times and how to deploy hierarchical employees to the shifts. The two-stage technique will be used to tackle the issue. In the first step, we construct the shift schedule and calculate the number of employees required for each shift based on the characteristics of high timevarying demand. According to the restrictions of hierarchical coordination and collaboration, we calculate the number of employees required for each shift at each level in the second step. Different demand variations are studied and useful conclusions are made from the sensitivity analysis. Our findings may help nursing facilities cope with increased demands and personnel shortages by providing efficient decision-making tools and methodologies