Please follow the ppts regarding project management on COVID-19 analysis. You can refer to both the abstract and intro which are uploaded and submit a project management on this COVID-19 research paper. Submit everything including documentations, analysis, references.
Analysis of COVID-19 Pandemic Based on Machine Learning Techniques The development of cyber-infrastructure to advance worldwide collaborations remains prudent in facilitating the ease with which persons can access and manage COVID-19 related data. Ongoing efforts to design diagnostic strategies using machine learning algorithms in response to COVID-19 disease accelerate diagnostic accuracy and promise to safeguard the healthcare of persons (Alimadadi et al. 2020). Within this framework, in a machine learning analysis of COVID-19, De Felice & Polimeni (2020) established evidence regarding the feasibility of implementing and scaling up networks that promote rapid sharing of data from China to allow quick assessment and evaluation of fundamental aspects of the disease. For example, machine learning strategies have allowed for sharing of COVID-19 pathogenesis as well as further the generation of specific treatments. Machine learning and deep learning approaches remain instrumental in advancing the early forecasting of COVID-19 spread to allow for the development and implementation of necessary actions to tackle the disease. Models such as polynomial regression (PR) have predicted a significant loss of lives without the adoption of COVID-19 measures such as social distancing and adhering to the lockdown initiative (Punn, Sonbhadra, & Agarwal, 2020). A robust clinical and societal response backed by intelligence from machine learning and artificial intelligence supports better utilization of scarce health resources, accelerates clinical trials, and informs policy directives. At the same time, transfer learning methods can address the issue of biased models when making predictions about individuals derived from populations (van der Schaar et al. 2021). International collaboration remains critical in yielding large datasets for machine learning training and deployment globally. The utilization of artificial intelligence models can take advantage of prevailing data infrastructure such as EHR records, data from airlines, social media, as well as cellular operators. Results from previous studies remain promising regarding the practicality of machine learning models in enabling users including physicians, patients, and policymakers to make rational decisions in mitigating the COVID-19 pandemic. References Alimadadi, A., Aryal, S., Manandhar, I., Munroe, P. B., Joe, B., & Cheng, X. (2020). Artificial intelligence and machine learning to fight COVID-19. De Felice, F., & Polimeni, A. (2020). Coronavirus Disease (COVID-19): A Machine learning bibliometric analysis. in vivo, 34(3 suppl), 1613-1617. Punn, N. S., Sonbhadra, S. K., & Agarwal, S. (2020). COVID-19 epidemic analysis using machine learning and deep learning algorithms. MedRxiv. van der Schaar, M., Alaa, A. M., Floto, A., Gimson, A., Scholtes, S., Wood, A., ... & Ercole, A. (2021). How artificial intelligence and machine learning can help healthcare systems respond to COVID-19. Machine Learning, 110(1), 1-14. What is Plagiarism and How Can I Avoid It ? 2. Data and Project Management Plan According to Wiki https://en.wikipedia.org/wiki/Project_management “Project management is the practice of initiating, planning, executing, controlling, and closing the work of a team to achieve specific goals and meet specific success criteria at the specified time” 1 Chapter 2 Data and Project Management Plan 2.1 Data Management Plan Data collection approaches, management methods, storage methods, and usage mechanisms. 2.2 Project Development Methodology Data analytics with intelligent system development cycle; planned development processes and activities. 2.3 Project Organization Plan Work breakdown structure presenting the hierarchical and incremental decomposition of the project into phases, deliverables and work packages. 2.4 Project Resource Requirements and Plan Required hardware, software, tools and licenses including specifications, costs and justification. 2.5 Project Schedule Gantt Chart presenting project schedule with tasks, timeline, responsible team members, and the status of deliverables. PERT Chart performing project analysis with individual tasks and dependencies. 2 2.1Data Management Plan Data collection approaches, management methods, storage methods, and usage mechanisms. A Data Management Plan (DMP) describes data that will be acquired or produced during research; how the data will be managed, described, and stored, what standards you will use, and how data will be handled and protected during and after the completion of the project. Plagiarism Tutorial 3 2.1Data Management Plan What type of data will be produced? How will data be collected? How much data will your project produce? Growth rate? How often it change? What standards will be used for documentation and metadata? What directory and naming convention will be used? Any data identifers will be assigned? What steps will be taken to protect privacy, security confidentiality, intellectual property or other rights? Who controls data? Any privacy or security requirments to use/upload/write? If you allow others to reuse your data, how will the data be accesed and shared? How will it be archived for long-term access? Are there any data sharing requirments? How long data be retained? What formats to use? What tools to use to access/view? Any data repositories? Who maintain the data? Plagiarism Tutorial 4 Plagiarism Tutorial CMPE 5 We can follow Cross-Industry Standard Process for Data Mining (CRISP-DM) model to breakdown structure and responsibilities. https://en.wikipedia.org/wiki/Cross-industry_standard_process_for_data_mining According to CRISP-DM, there are six phases: Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, Deployment. https://exde.wordpress.com/2009/03/13/a-visual-guide-to-crisp-dm-methodology/ For example, Data preparation involves the following steps/responsibilities: Data set description, select data, clean data, reconstruct data if needed, merge data from different sources, reformat data if needed. Plagiarism Tutorial 6 7 Figure 3: Overview of the CRISP-DM tasks and their outputs. Plagiarism Tutorial 7 8 2.3 Project Development Methodology Data analytics with intelligent system development cycle; planned development processes and activities. The project management methodologies list Waterfall methodology. The Waterfall method is a traditional approach to project management. Agile methodology. Scrum methodology. Kanban methodology. eXtreme programming (XP) methodology. ... Incorporate short flows 9 10 2.3 Project Organization Plan Work breakdown structure presenting the hierarchical and incremental decomposition of the project into phases, deliverables and work packages. Organizational planning involves identifying, documenting and assigning project roles and responsibilities and reporting relationships (to individuals or groups). The individuals and groups may be part of the organization performing the project or they may be external to it. 2.4Project Resource Requirements and Plan [Required hardware, software, tools and licenses including specifications, costs and justification, etc.] Data requirements: Weather Data set from NOAA, Vegetation data set from MODIS, Topology data set from MODIS, etc. Software requirements: Use Python, TensorFlow, Keras, Amazon SageMaker, etc Software licenses: Amazon SageMaker, Amazon Redshift, etc Hardware systems: Intel i-7, 16G, GPU or Amazon EC2 P2 Instances 11 Plagiarism Tutorial 11 2.5 Project Schedule Gantt Chart presenting project schedule with tasks, timeline, responsible team members, and the status of deliverables. PERT Chart performing project analysis with individual tasks and dependencies 12 Program Evaluation Review Technique (PERT) Chart Definition www.investopedia.com › Business › Small Business Oct 27, 2020 — A PERT chart helps a project manager analyze a project's tasks and estimate the amount of time required to complete each task in the project. A PERT chart is a project management tool that provides a graphical representation of a project's timeline. The Program Evaluation Review Technique (PERT) breaks down the individual tasks of a project for analysis. Plagiarism Tutorial 12 13 What to Submit? Complete Project Management for your research report Submit your own Project Management on your research paper 1 COVID-19 ANALYSIS 1.0 Introduction The novel Corona Virus also known as Covid-19 was spread extensively throughout China at the end of 2019. It has infected a huge number of people. While the new virus was disseminating hastily in other regions, the native epidemic has been efficiently controlled. Europe had become the vulnerable spot of the then outburst of new pneumonia. In the meantime, the World Health Organization (WHO) on 11 March had declared a new outburst of pneumonia as a global pandemic. An excessive amount of risk to the safety and health of people all around the world was caused by the Covid-19 pandemic as it had astounding spreading supremacy and impending damage. The current research paper tends to analyse the pandemic causing virus and offer comprehensive details for readers. 1.1 Background of the Research An outline of the country-level, regional and global cases and deaths due to Covid-19 was provided by the Weekly Epidemiological Update, it also highlights main trends and statistics. Other appropriate epidemiological data, which concerns the Covid-19 pandemic, is also included in it. Weekly epidemiological update of March 2, 2021 was that over 2.6 million new cases were reported the previous week. There was an increase of 7%, as compared to that of the last week, which followed six uninterrupted weeks of regressions. The rise in the cases of the South-East Asia (9%), Eastern Mediterranean (14%), the Americas (6%) and Europe (9%) led to the increase in the global cases. The data available in different databases required collective assessment and analysis, forming the authentic justification for the formulation of the current research. 1.2 Aim of the Current Research 2 The current research aims at analysing the Covid 19 outbreak and its impact on local, national and global scales, so that probable solutions for the management of the situation and future pandemic outbreaks can be managed better. 1.3 Objectives of the Research • To collect and process the data available on Covid 19 • To connect the different aspects of Covid 19 impact and perceive the scenario as a whole • To develop appropriate solutions for the improvement of the post-Covid world • To identify measures to prevent outbreak of future pandemics 1.3 Significance of the Research The current research would help the future researchers in this field to assess the nature of pandemics better and the way they influence society, economy and human activities on global scales. The research would also help in understanding pandemics such as Covid-19 as a whole. 1.5 Data Sources and Data Processing The data for the current research has been of secondary type. World Health Organization (WHO) is issuing the Strategic Preparedness and Response Plan (SPRP) of the Covid-19 for 2021. Documents are accompanied as a set directed at managing the synchronized activity, which people should take at regional, global, and national stages in order to get had better of the on-going trials in the reaction to COVID-19, plan a sequence out of the virus and report inequities. Over the previous years, with the backing of