Handbook of research on nascent entrepreneurship and creating new ventures

Due to the 2008-2009 crisis, the United Nations 2030 agenda for sustainable development, and the COVID-19 pandemic, the role of entrepreneurship has become more critical in most economies. Moreover, emerging protectionist policies are further encouraging the emergence of new entrepreneurial projects, particularly to replace goods and services traditionally provided by other countries. Understanding current challenges and best practices in nascent entrepreneurship is integral for the successful launching of new ventures to support the revitalization of economies and achieve sustainability. © 2021 by IGI Global. All rights reserved.

Analysis of Pandemic Data in Brazil The relationship between vaccinated and hospitalized in Recife

This paper consist in a time series analysis of Covid-19 vaccination data and hospitalization data for suspected or confirmed Severe Acute Respiratory Syndrome cases for Covid-19 among the citizens of Recife city, located in Pernambuco, in the northeast region of Brazil. This study aims to demonstrate the effectiveness of vaccination to combat severe cases of Covid-19 in a population. For this, population vaccination data against Covid-19 and data on severe cases were arranged in time series for correlation study. The results show that the adherence in residents to the vaccination against Covid-19 can directly reflect a reduction of serious cases, even in front of challenges such as the relaxation of restrictive measures, the pandemic politicization, the high contagion of the variants, and the spread of misinformation about vaccines. The research also demonstrates that establishing a technological policy to combat pandemics may make a difference by generating consistent and reliable data for science in the race for answers, bringing speed and organization in the population immunization. © 2022 IEEE Computer Society. All rights reserved.

Sentiment Analysis of Tweets Related to SUS Before and During COVID-19 pandemic

The COVID-19 pandemic has affected the whole world since the beginning of 2020. In Brazil, over 70% of the population rely on the Brazil's Unified Health System (SUS). Knowing public opinion related to SUS is very important for the improvement of services and assistance provided by such an entity. Sentiment analysis has been used in several applications including social networks and blogs to extract public opinion. Despite the fact that other papers have already worked with sentiment analysis, none of them have focused on SUS. Therefore, the goal of this paper is to analyse the sentiments shown by Brazillian Twitter users about SUS before and during COVID-19 pandemic. To reach this goal, a database of portuguese tweets regarding SUS posted between december 2019 and october 2020 was created. The tweets were pre-processed, classified and then analysed. The results show that, in most cases, users are in favor of SUS.