Unlike what we have seen with previous waves of communicable disease, the COVID-19 pandemic in the U.S. has not shown cultural and political variations in infection rates and public-health responses.Group of answer choicesTrueFalse

Which of the following may not have caused an increase in COVID-19 infections?a.Rallies with minimal social distancing/maskingb.Events where hundreds of people gathered without following social distancing protocolsc.Mask mandates and vaccinationsd.Negligence on personal hygiene

Uneven impacts of COVID-19 in the United States have aligned directly witha.gender and sexuality.b.class and race.c.religion and political party.d.age

How has the COVID-19 pandemic influenced cultural preservation efforts in urban development, considering changes in tourism, public gatherings, and economic conditions?

The Covid-19 pandemic has highlighted the worst in global health-care provision, revealing systemic__________. a. ageism b. racism c. all of the above d. none of the above

The COVID-19 pandemic, also known as the coronavirus pandemic, is a global pandemic of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The novel virus was first identified in an outbreak in the Chinese city of Wuhan in December 2019, and spread to other areas of Asia and then worldwide in early 2020. The World Health Organization (WHO) declared the outbreak a public health emergency of international concern (PHEIC) on 30 January 2020. The WHO ended its PHEIC declaration on 5 May 2023. As of 20 January 2024, the pandemic has caused 774,144,371[3] cases and 7,013,140[3] confirmed deaths, ranking it fifth in the list of the deadliest epidemics and pandemics in history.The attached excel file contains data about the pandemic worldwide. The file is downloaded from the European Centre for Disease Prevention and Control https://www.ecdc.europa.eu. AssignmentForm a group containing a minimum of three and a maximum of four students. Write a term paper containing the followingBackground on Covid-19Understanding of the dataData cleaning Data visualization. Visualize the data graphically using the tools you learned in Python class, The visualization should include (covid by gender, covid by age, covid by country, covid by continent, weekly statistics, rate of increase, etc.) Explain the story that each visualization will tell.Attach the script used for the data visualization as appendix.