TY - CHAP TI - A Quantum Field Formulation for a Pandemic Propagation AU - Arraut, Ivan AU - Marques, João Alexandre Lobo AU - Fong, Simon James AU - Li, Gloria AU - Gois, Francisco Nauber Bernardo AU - Neto, José Xavier T2 - Epidemic Analytics for Decision Supports in COVID19 Crisis A2 - Marques, Joao Alexandre Lobo A2 - Fong, Simon James AB - In this chapter, a mathematical model explaining generically the propagation of a pandemic is proposed, helping in this way to identify the fundamental parameters related to the outbreak in general. Three free parameters for the pandemic are identified, which can be finally reduced to only two independent parameters. The model is inspired in the concept of spontaneous symmetry breaking, used normally in quantum field theory, and it provides the possibility of analyzing the complex data of the pandemic in a compact way. Data from 12 different countries are considered and the results presented. The application of nonlinear quantum physics equations to model epidemiologic time series is an innovative and promising approach. CY - Cham DA - 2022/// PY - 2022 DP - Springer Link SP - 141 EP - 158 LA - en PB - Springer International Publishing SN - 978-3-030-95281-5 UR - https://doi.org/10.1007/978-3-030-95281-5_6 Y2 - 2022/09/21/02:32:32 KW - COVID-19 KW - Mathematical modeling KW - Nonlinear analysis KW - Quantum field theory ER - TY - CHAP TI - Research and Technology Development Achievements During the COVID-19 Pandemic—An Overview AU - Marques, João Alexandre Lobo AU - Fong, Simon James AU - Li, G. AU - Arraut, Ivan AU - Gois, F. Nauber Bernardo AU - Neto, José Xavier T2 - Epidemic Analytics for Decision Supports in COVID19 Crisis A2 - Marques, Joao Alexandre Lobo A2 - Fong, Simon James AB - At the beginning of 2020, the World Health Organization (WHO) started a coordinated global effort to counterattack the potential exponential spread of the SARS-Cov2 virus, responsible for the coronavirus disease, officially named COVID-19. This comprehensive initiative included a research roadmap published in March 2020, including nine dimensions, from epidemiological research to diagnostic tools and vaccine development. With an unprecedented case, the areas of study related to the pandemic received funds and strong attention from different research communities (universities, government, industry, etc.), resulting in an exponential increase in the number of publications and results achieved in such a small window of time. Outstanding research cooperation projects were implemented during the outbreak, and innovative technologies were developed and improved significantly. Clinical and laboratory processes were improved, while managerial personnel were supported by a countless number of models and computational tools for the decision-making process. This chapter aims to introduce an overview of this favorable scenario and highlight a necessary discussion about ethical issues in research related to the COVID-19 and the challenge of low-quality research, focusing only on the publication of techniques and approaches with limited scientific evidence or even practical application. A legacy of lessons learned from this unique period of human history should influence and guide the scientific and industrial communities for the future. CY - Cham DA - 2022/// PY - 2022 DP - Springer Link SP - 1 EP - 15 LA - en PB - Springer International Publishing SN - 978-3-030-95281-5 UR - https://doi.org/10.1007/978-3-030-95281-5_1 Y2 - 2022/09/21/02:35:32 KW - COVID-19 KW - Research cooperation KW - Research ethics KW - Scientific research KW - Technology development ER -